Tong ZHANG
張潼
PhD in Computer Science
Stanford University, 1999

Chair Professor
Department of Mathematics
Department of Computer Science and Engineering



(852) 3469 2681
tongzhang@ust.hk
Room 3455
Personal Web

---

Google Scholar
LurWtuYAAAAJ

ORCID
0000-0002-5511-2558

Scopus ID
7404373332




Research Interest Publications Projects Teaching Assignment RPG Supervision Space used




Research Interest

---

Artificial intelligence
Statistics



Publications

---

All Years 252 2022 0 2021 10 2020 22 2019 15 2018 30 2017 9 2016 166

---

Expand All Collapse All


2021 10

A Framework of Composite Functional Gradient Methods for Generative Adversarial Models
IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 43, (1), January 2021, article number 8744312, p. 17-32
Johnson, Rie; Zhang, Tong Article
A stochastic extra-step quasi-Newton method for nonsmooth nonconvex optimization
Mathematical Programming, 13 March 2021
Yang, Minghan; Milzarek, Andre; Wen, Zaiwen; Zhang, Tong Article
DeEPCA: Decentralized Exact PCA with Linear Convergence Rate
Journal of Machine Learning Research, v. 22, 2021, article number 238
Ye, Haishan; Zhang, Tong Article
Finite-Sample Analysis For Decentralized Batch Multi-Agent Reinforcement Learning With Networked Agents
IEEE Transactions on Automatic Control, 5 January 2021
Zhang, Kaiqing; Yang, Zhuoran; Liu, Han; Zhang, Tong; Basar, Tamer Article
Local-global memory neural network for medication prediction
IEEE Transactions on Neural Networks and Learning Systems, v. 32, (4), April 2021, article number 9090345, p. 1723-1736
Song, Jun; Wang, Yueyang; Tang, Siliang; Zhang, Yin; Chen, Zhigang; Zhang, Zhongfei; Zhang, Tong; Wu, Fei Article
Mathematical Models of Overparameterized Neural Networks
Proceedings of the IEEE, v. 109, (5), May 2021, article number 9326403, p. 683-703
Fang, Cong; Dong, Hanze; Zhang, Tong Article
DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2021, p. 279-288
Ding, Yuhui; Yao, Quanming; Zhao, Huan; Zhang, Tong Conference paper
Effective Sparsification of Neural Networks with Global Sparsity Constraint
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2021, Virtual, 19 - 25 June 2021
Zhou, Xiao; Zhang, Weizhong; Xu, Hang; Zhang, Tong Conference paper
Involution: Inverting the Inherence of Convolution for Visual Recognition
IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021, Virtual, 19-25 June 2021
Li, Duo; Hu, Jie; Wang, Changhu; Li, Xiangtai; She, Qi; Zhu, Lei; Zhang, Tong; Chen, Qifeng Conference paper
Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation
Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL-IJCNLP 2021, Aug 2021, p. 3336-3349
Diao, Shizhe; Xu, Ruijia; Su, Hongjin; Jiang, Yilei; Song, Yan; Zhang, Tong Conference paper

2020 22

Accelerated dual-averaging primal–dual method for composite convex minimization
Optimization Methods and Software, 2020
Tan, Conghui; Qian, Yuqiu; Ma, Shiqian; Zhang, Tong Article
Estimating and inferring the maximum degree of stimulus-locked time-varying brain connectivity networks
Biometrics, 15 May 2020
Tan, Kean Ming; Lu, Junwei; Zhang, Tong; Liu, Han Article
Local Uncertainty Sampling for Large-Scale Multiclass Logistic Regression
Annals of Statistics, v. 48, (3), June 2020, p. 1770-1788
Han, Lei; Tan, Kean Ming; Yang, Ting; Zhang, Tong Article
MAP Inference Via ?₂ -Sphere Linear Program Reformulation
International Journal of Computer Vision, March 2020
Wu, Baoyuan; Shen, Li; Zhang, Tong; Ghanem, Bernard Article
Proximal Gradient Method for Nonsmooth Optimization Over the Stiefel Manifold
SIAM Journal on Optimization, v. 30, (1), 2020, p. 210-239
Chen, Shixiang; Ma, Shiqian; Man-Cho So, Anthony; Zhang, Tong Article
A generalized neural tangent kernel analysis for two-layer neural networks
Advances in Neural Information Processing Systems, v. 2020-December, 2020
Chen, Zixiang; Cao, Yuan; Gu, Quanquan; Zhang, Tong Conference paper
Black-Box Adversarial Attack with Transferable Model-based Embedding
Eighth International Conference on Learning Representations (ICLR 2020), Virtual Conference, Formerly Addis Ababa ETHIOPIA, 26-30 April 2020
Huang, Zhichao; Zhang, Tong Conference paper
Bridging the gap between sample-based and one-shot neural architecture search with BONAS
Advances in Neural Information Processing Systems, v. 2020-December, 2020
Shi, Han; Pi, Renjie; Xu, Hang; Li, Zhenguo; Kwok, James Tin Yau; Zhang, Tong Conference paper
CATCH: Context-Based Meta Reinforcement Learning for Transferrable Architecture Search
Lecture Notes in Computer Science, v. 12364, November 2020, p. 185-202
Chen, Xin; Duan, Yawen; Chen, Zewei; Xu, Hang; Chen, Zihao; Liang, Xiaodan; Zhang, Tong; Li, Zhenguo Conference paper
Decentralized accelerated proximal gradient descent
Advances in Neural Information Processing Systems, v. 2020-December, 2020
Ye, Haishan; Zhou, Ziang; Luo, Luo; Zhang, Tong Conference paper
Finite-sample analysis for decentralized cooperative multi-agent reinforcement learning from batch data
IFAC-PapersOnLine, v. 53, (2), 2020, p. 1049-1056
Zhang, Kaiqing; Yang, Zhuoran; Liu, Han; Zhang, Tong; Basar, Tamer Conference paper
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization
37th International Conference on Machine Learning, ICML 2020, v. PartF168147-7, July 2020, p. 4870-4879
Johnson, Rie; Zhang, Tong Conference paper
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization
Proceedings of Machine Learning Research, v. 119, 2020, p. 4921-4930
Johnson, Rie; Zhang, Tong Conference paper
How to Characterize The Landscape of Overparameterized Convolutional Neural Networks
Advances in Neural Information Processing Systems, v. 2020-December, 2020
Gu, Yihong; Zhang, Weizhong; Fang, Cong; Lee, Jason D.; Zhang, Tong Conference paper
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation
Proceedings: IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPR 2020 / The Institute of Electrical and Electronics Engineers, Inc.. Piscataway, NJ : The Institute of Electrical and Electronics Engineers, Inc., 2020, p. 11990-11999, Article number 9156336
He, Chaoyang; Ye, Haishan; Shen, Li; Zhang, Tong Conference paper
Model Rubik’s cube: Twisting Resolution, Depth and Width for TinyNets
Advances in Neural Information Processing Systems, v. 2020-December, 2020
Han, K.; Wang, Y.; Zhang, Q.; Zhang, W.; Xu, C.; Zhang, Tong Conference paper
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts
Advances in Neural Information Processing Systems, v. 2020-December, 2020
Li, G.; Zhang, J.; Wang, Y.; Liu, C.; Tan, M.; Lin, Y.; Zhang, W.; Feng, J.; Zhang, Tong Conference paper
Stable Learning via Differentiated Variable Decorrelation
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 23 August 2020, p. 2185-2193
Shen, Zheyan; Cui, Peng; Liu, Jiashuo; Zhang, Tong; Li, Bo; Chen, Zhitang Conference paper
Stable Learning via Sample Reweighting
Proceedings of the AAAI Conference on Artificial Intelligence, v. 34, (4), 2020, p. 5692-5699
Shen, Zheyan; Cui, Peng; Zhang, Tong; Kuang, Kun Conference paper
Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems
Advances in Neural Information Processing Systems, v. 2020-December, 2020
Luo, Luo; Ye, Haishan; Huang, Zhichao; Zhang, Tong Conference paper
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data
Proceedings: IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPR 2020 / The Institute of Electrical and Electronics Engineers, Inc.. Piscataway, NJ : The Institute of Electrical and Electronics Engineers, Inc., 2020, p. 13853-13863, Article number 9156478
Chang, Qi; Qu, Hui; Zhang, Yikai; Sabuncu, Mert; Chen, Chao; Zhang, Tong; Metaxas, Dimitris Conference paper
ZEN: Pre-Training Chinese Text Encoder Enhanced by N-gram Representations
Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020, November 2020, p. 4729-4740
Diao, Shizhe; Bai, Jiaxin; Song, Yan; Zhang, Tong; Wang, Yonggang Conference paper

2019 15

Graph-guided multi-task sparse learning model: A method for identifying antigenic variants of influenza A(H3N2) virus
Bioinformatics, v. 35, (1), 2019, p. 77-87
Han, Lei; Li, Lei; Wen, Feng; Zhong, Lei; Zhang, Tong; Wan, Xiu Feng Article
Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models
Journal of Machine Learning Research, v. 20, August 2019, article number 119, p. 1-39
Tan, Kean Ming; Lu, Junwei; Zhang, Tong; Liu, Han Article
Robust Frequent Directions with Application in Online Learning
Journal of Machine Learning Research, v. 20, 2019, article number 45, p. 1-41
Luo, Luo; Chen, Cheng; Zhang, Zhihua; Li, Wu-Jun; Zhang, Tong Article
Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning
IEEE Access, v. 7, 2019, p. 172683-172693
Wu, Baoyuan; Chen, Weidong; Fan, Yanbo; Zhang, Yong; Hou, Jinlong; Liu, Jie; Zhang, Tong Article
Utilizing Second Order Information in Minibatch Stochastic Variance Reduced Proximal Iterations
Journal of Machine Learning Research, v. 20, February 2019, article number 42
Wang, Jialei; Zhang, Tong Article
DHER: Hindsight experience replay for dynamic goals
8th International Conference on Learning Representations, New Orleans, Louisiana, United States, 6-9 May 2019
Fang, Meng; Zhou, Cheng; Shi, Bei; Gong, Boqing; Xu, Jia; Zhang, Tong Conference paper
Divergence-augmented policy optimization
Advances in Neural Information Processing Systems, v. 32, 2019
Wang, Qing; Li, Yingru; Xiong, Jiechao; Zhang, Tong Conference paper
Doublesqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression
Proceedings of Machine Learning Research, v. 97, 2019, p. 6155-6165
Tang, Hanlin; Lian, Xiangru; Yu, Chen; Zhang, Tong; Liu, Ji Conference paper
Doublesqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression
36th International Conference on Machine Learning, ICML 2019, (Part 16), 2019, p. 10747-10757
Tang, Hanlin; Lian, Xiangru; Yu, Chen; Zhang, Tong; Liu, Ji Conference paper
Efficient Decision-based Black-box Adversarial Attacks on Face Recognition
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, v. 2019, June 2019, article number 8953400, p. 7706-7714
Dong, Yinpeng; Su, Hang; Wu, Baoyuan; Li, Zhifeng; Liu, Wei; Zhang, Tong; Zhu, Jun Conference paper
Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI
Proceedings of Machine Learning Research, v. 97, 2019, p. 2576-2585
Han, Lei; Sun, Peng; Du, Yali; Xiong, Jiechao; Wang, Qing; Sun, Xinghai; Liu, Han; Zhang, Tong Conference paper
Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI
36th International Conference on Machine Learning, ICML 2019, (Part 7), 2019, p. 4558-4571
Han, Lei; Sun, Peng; Dy, Yali; Xiong, Jiechao; Wang, Qing; Sun, Xinghai; Liu, Han; Zhang, Tong Conference paper
N Attack: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
Proceedings of Machine Learning Research, v. 97, 2019, p. 3866-3876
Li, Yandong; Li, Lijun; Wang, Liqiang; Zhang, Tong; Gong, Boqing Conference paper
N Attack: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
36th International Conference on Machine Learning, ICML 2019, (Part 10), 2019, p. 6860-6870
Li, Yandong; Li, Lijun; Wang, Liqiang; Zhang, Tong; Gong, Boqing Conference paper
Reinforced Training Data Selection for Domain Adaptation
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics / Anna Korhonen, David Traum, Lluís Màrquez (Editors). Stroudsburg, USA : Association for Computational Linguistics, 2019, p. 1957-1968
Liu, Miaofeng; Song, Yan; Zou, Hongbin; Zhang, Tong Conference paper

2018 30

A convex formulation for high-dimensional sparse sliced inverse regression
Biometrika, v. 105, (4), December 2018, p. 769-782
Tan, Kean Ming; Wang, Zhaoran; Zhang, Tong; Liu, Han; Cook, R.Dennis Article
Bayesian Model Averaging with Exponentiated Least Squares Loss
IEEE Transactions on Information Theory, v. 64, (5), May 2018, p. 3331-3345
Dai, Dong; Han, Lei; Yang, Ting; Zhang, Tong Article
Gradient hard thresholding pursuit
Journal of Machine Learning Research, v. 18, May 2018, article number 166, p. 1-43
Yuan, Xiao Tong; Li, Ping; Zhang, Tong Article
I-LAMM for sparse learning: Simultaneous control of algorithmic complexity and statistical error
Annals of Statistics, v. 46, (2), April 2018, p. 814-841
Fan, Jianqing; Liu, Han; Sun, Qiang; Zhang, Tong Article
Learning to remember translation history with a continuous cache
Transactions of the Association for Computational Linguistics, v. 6, 2016, p. 407-420
Tu, Zhaopeng; Liu, Yang; Shi, Shuming; Zhang, Tong Article
Near-optimal stochastic approximation for online principal component estimation
Mathematical Programming, v. 167, (1), January 2018, p. 75-97
Li, C.J.; Wang, M.; Liu, H.; Zhang, T. Article
Pathwise coordinate optimization for sparse learning: Algorithm and theory
Annals of Statistics, v. 46, (1), February 2018, p. 180-218
Zhao, Tuo; Liu, Han; Zhang, Tong Article
Sparse generalized eigenvalue problem: optimal statistical rates via truncated Rayleigh flow
Journal of the Royal Statistical Society. Series B: Statistical Methodology, v. 80, (5), November 2018, p. 1057-1086
Tan, Kean Ming; Wang, Zhaoran; Liu, Han; Zhang, Tong Article
An algorithmic framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-gradient method
35th International Conference on Machine Learning, ICML 2018, v. 10, 2018, p. 7376-7385
Shen, Li; Sun, Peng; Wang, Yitong; Liu, Wei; Zhang, Tong Conference paper
An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method
Proceedings of Machine Learning Research, v. 80, July 2018, p. 4636-4643
Shen, Li; Sun, Peng; Wang, Yitong; Liu, Wei; Zhang, Tong Conference paper
Candidates vs. noises estimation for large multi-class classification problem
35th International Conference on Machine Learning, ICML 2018, v. 5, 2018, p. 3013-3029
Han, Lei; Huang, Yiheng; Zhang, Tong Conference paper
Candidates vs. noises estimation for large multi-class classification problem
Proceedings of Machine Learning Research, v. 80, July 2018, p. 1890-1899
Han, Lei; Huang, Yiheng; Zhang, Tong Conference paper
Communication compression for decentralized training
Advances in Neural Information Processing Systems, v. 31, 2018, p. 7652-7662
Tang, Hanlin; Gan, Shaoduo; Zhang, Ce; Zhang, Tong; Liu, Ji Conference paper
Composite functional gradient learning of generative adversarial models
35th International Conference on Machine Learning, ICML 2018, v. 5, 2018, p. 3706-3724
Johnson, Rie; Zhang, Tong Conference paper
Composite Functional Gradient Learning of Generative Adversarial Models
Proceedings of Machine Learning Research, v. 80, July 2018, p. 2371-2379
Johnson, Rie; Zhang, Tong Conference paper
End-to-end active object tracking via reinforcement learning
35th International Conference on Machine Learning, ICML 2018, v. 7, 2018, p. 5191-5200
Luo, Wenhan; Sun, Peng; Zhong, Fangwei; Liu, Wei; Zhang, Tong; Wang, Yizhou Conference paper
End-to-end active object tracking via reinforcement learning
Proceedings of Machine Learning Research, v. 80, July 2018, p. 3268-3295
Luo, Wenhan; Sun, Pan; Zhong, Fangwei; Liu, Wei; Zhang, Tong; Wang, Yizhou Conference paper
Error compensated quantized sgd and its applications to large-scale distributed optimization
Proceedings of Machine Learning Research, v. 80, July 2018, p. 5325-5333
Wu, Jiaxiang; Huang, Weidong; Huang, Junzhou; Zhang, Tong Conference paper
Error compensated quantized SGD and its applications to large-scale distributed optimization
35th International Conference on Machine Learning, ICML 2018, v. 12, July 2018, p. 8472-8783
Wu, Jiaxiang; Huang, Weidong; Huang, Junzhou; Zhang, Tong Conference paper
Exponentially weighted imitation learning for batched historical data
Advances in Neural Information Processing Systems, v. 31, 2018, p. 6288-6297
Wang, Qing; Xiong, Jiechao; Han, Lei; Sun, Peng; Liu, Han; Zhang, Tong Conference paper
Fully decentralized multi-agent reinforcement learning with networked agents
35th International Conference on Machine Learning, ICML 2018, v. 13, July 2018, p. 9340-9371
Zhang, Kaiqing; Yang, Zhuoran; Liu, Han; Zhang, Tong; Basar, Tamer Conference paper
Fully decentralized multi-agent reinforcement learning with networked agents
Proceedings of Machine Learning Research, v. 80, July 2018, p. 5872-5881
Zhang, Kaiqing; Yang, Zhuoran; Liu, Han; Zhang, Tong; Basar, Tamer Conference paper
Gradient sparsification for communication-efficient distributed optimization
Advances in Neural Information Processing Systems, v. 31, 2018, p. 1299-1309
Wangni, J.; Liu, J.; Wang, J.; Zhang, T. Conference paper
Graphical nonconvex optimization via an adaptive convex relaxation
35th International Conference on Machine Learning, ICML 2018, v. 11, July 2018, p. 7638-7645
Sun, Qiang; Tan, Kean Ming; Liu, Han; Zhang, Tong Conference paper
Graphical nonconvex optimization via an adaptive convex relaxation
Proceedings of Machine Learning Research, v. 80, July 2018, p. 4810-4817
Sun, Qiang; Tan, Kean Ming; Liu, Han; Zhang, Tong Conference paper
Near-optimal non-convex optimization via stochastic path integrated differential estimator
Advances in Neural Information Processing Systems, v. 31, 2018, p. 689-699
Fang, C.; Li, C.J.; Lin, Z.; Zhang, T. Conference paper
Safe element screening for submodular function minimization
35th International Conference on Machine Learning, ICML 2018, v. 13, 2018, p. 9211-9220
Zhang, Weizhong; Hong, Bin; Ma, Lin; Liu, Wei; Zhang, Tong Conference paper
Safe Element Screening for Submodular Function Minimization
Proceedings of Machine Learning Research, v. 80, July 2018, p. 5786-5795
Zhang, Weizhong; Hong, Bin; Ma, Lin; Liu, Wei; Zhang, Tong Conference paper
Stochastic expectation maximization with variance reduction
Advances in Neural Information Processing Systems, v. 31, 2018, p. 7967-7977
Chen, J.; Zhu, J.; Teh, Y.W.; Zhang, T. Conference paper
Stochastic primal-dual method for empirical risk minimization with O(1) per-iteration complexity
Advances in Neural Information Processing Systems, v. 31, 2018, p. 8366-8375
Tan, C.; Ma, S.; Zhang, T.; Liu, J. Conference paper

2017 9

A general distributed dual coordinate optimization framework for regularized loss minimization
Journal of Machine Learning Research, v. 18, October 2017, article number 115, p. 1-52
Zheng, Shyn; Wang, Jialei; Xia, Fen; Xu, Wei; Zhang, Tong Article
Hierarchical Contextual Attention Recurrent Neural Network for Map Query Suggestion
IEEE Transactions on Knowledge and Data Engineering, v. 29, (9), September 2017, article number 7917325, p. 1888-1901
Song, Jun; Xiao, Jun; Wu, Fei; Wu, Haishan; Zhang, Tong; Zhang, Zhongfei Mark; Zhu, Wenwu Article
Deep pyramid convolutional neural networks for text categorization
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, v. 1, 2017, p. 562-570
Johnson, Rie; Zhang, Tong Conference paper
Diffusion approximations for online principal component estimation and global convergence
Advances in Neural Information Processing Systems, v. 30, 2017, p. 646-656
Li, Chris Junchi; Wang, Mendgi; Liu, Han; Zhang, Tong Conference paper
Efficient distributed learning with sparsity
34th International Conference on Machine Learning, ICML 2017, v. 7, 2017, p. 5544-5563
Wang, Jialei; KoIar, Mladen; Srebro, Nathan; Zhang, Tong Conference paper
Efficient distributed learning with sparsity
Proceedings of Machine Learning Research, v. 70, 2017, p. 3636-3645
Wang, Jialei; KoIar, Mladen; Srebro, Nathan; Zhang, Tong Conference paper
On quadratic convergence of DC proximal Newton algorithm in nonconvex sparse learning
Advances in Neural Information Processing Systems, 2017, p. 2743-2753
Li, Xingguo; Yang, Lin F.; Ge, Jason; Haupt, J.; Zhang, Tong; Zhao, Tuo Conference paper
Projection-free distributed online learning in networks
34th International Conference on Machine Learning, ICML 2017, v. 8, 2017, p. 6155-6166
Zhang, Wenpeng; Zhao, Peilin; Zhu, Wenwu; Hoi, Steven C. H.; Zhang, Tong Conference paper
Projection-free distributed online learning in networks
Proceedings of Machine Learning Research, v. 70, 2017, p. 4054-4062
Zhang, Wenpeng; Zhao, Peilin; Zhu, Wenwu; Hoi, Steven C. H.; Zhang, Tong Conference paper

2016 9

Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization
Mathematical Programming, v. 155, (1-2), January 2016, p. 105-145
Shalev-Shwartz, Shai; Zhang, Tong Article
Towards more efficient SPSD matrix approximation and CUR matrix decomposition
Journal of Machine Learning Research, v. 17, December 2016, article number 210, p. 1-49
Wang, Shusen; Zhang, Zhihua; Zhang, Tong Article
Exact recovery of hard thresholding pursuit
Advances in Neural Information Processing Systems, v. 29, 2016, p. 3565-3573
Yuan, Xiaotong; Li, Ping; Zhang, Tong Conference paper
Learning additive exponential family graphical models via l_2,1-norm regularized M-estimation
Advances in Neural Information Processing Systems, v. 29, 2016, p. 4374-4382
Yuan, Xiao-Tong; Li, Ping; Zhang, Tong; Liu, Qingshan; Liu, Guangcan Conference paper
Sparse nonlinear regression: Parameter estimation under nonconvexity
33rd International Conference on Machine Learning, ICML 2016, v. 5, 2016, p. 3668-3677
Yang, Zhuoran; Wang, Zhaoran; Liu, Han; Eldar, Yonina C.; Zhang, Tong Conference paper
Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity
Proceedings of Machine Learning Research, v. 48, 2016, p. 2472-2481
Yang, Zhuoran; Wang, Zhaoran; Liu, Hanlong; Eldar, Yonina C.; Zhang, Tong Conference paper
Stochastic optimization with importance sampling for regularized loss minimization
Proceedings of Machine Learning Research, v. 37, 2015, p. 1-9
Zhao, Peilin; Zhang, Tong Conference paper
Supervised and semi-supervised text categorization using LSTM for region embeddings
Proceedings of Machine Learning Research, v. 48, 2016, p. 526-534
Johnson, Rie; Zhang, Tong Conference paper
Supervised and semi-supervised text categorization using LSTM for region embeddings
33rd International Conference on Machine Learning, ICML 2016, v. 2, 2016, p. 794-802
Johnson, Rie; Zhang, Tong Conference paper

2015 9

Learning sparse low-threshold linear classifiers
Journal of Machine Learning Research, v. 16, July 2015, p. 1275-1304
Sabato, Sivan; Shalev-Shwartz, Shai; Srebro, Natwhan; Hsu, Daniel; Zhang, Tong Article
Adaptive stochastic alternating direction method of multipliers
32nd International Conference on Machine Learning, ICML 2015, v. 1, 2015, p. 69-77
Zhao, Peilin; Yang, Jinwei; Zhang, Tong; Li, Ping Conference paper
Adaptive stochastic alternating direction method of multipliers
Proceedings of Machine Learning Research, v. 37, 2015, p. 69-77
Zhao, Peilin; Yang, Jinwei; Zhang, Tong; Li, Ping Conference paper
Crowd fraud detection in internet advertising
Proceedings of the 24th International Conference on World Wide Web, 2015, p. 1100-1110
Tian, Tian; Zhu, Jun; Xia, Fen; Zhuang, Xin; Zhang, Tong Conference paper
Effective use of word order for text categorization with convolutional neural networks
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2015, 2015, p. 103-112
Johnson, Rie; Zhang, Tong Conference paper
Local smoothness in variance reduced optimization
Advances in Neural Information Processing Systems, v. 28, 2015, p. 2179-2187
Vainsencher, Daniel; Liu, Han; Zhang, Tong Conference paper
Quartz: Randomized dual coordinate ascent with arbitrary sampling
Advances in Neural Information Processing Systems, 2015, p. 865-873
Qu, Zheng; Richtárik, Peter; Zhang, Tong Conference paper
Semi-supervised convolutional neural networks for text categorization via region embedding
Advances in Neural Information Processing Systems, v. 28, 2015, p. 919-927
Johnson, Rie; Zhang, Tong Conference paper
Stochastic optimization with importance sampling for regularized loss minimization
32nd International Conference on Machine Learning, ICML 2015, v. 1, 2015, p. 1-9
Zhao, Peillin; Zhang, Tong Conference paper

2014 11

A proximal stochastic gradient method with progressive variance reduction
SIAM Journal on Optimization, v. 24, (4), 2014, p. 2057-2075
Xiao, Lin; Zhang, Tong Article
Learning nonlinear functions using regularized greedy forest
IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 36, (5), 2014, p. 942-54
Johnson, Rie; Zhang, Tong Article
Optimal computational and statistical rates of convergence for sparse nonconvex learning problems
Annals of Statistics, v. 42, (6), December 2014, p. 2164-2201
Wang, Zhaoran; Liu, Han; Zhang, Tong Article
Partial Gaussian graphical model estimation
IEEE Transactions on Information Theory, v. 60, (3), March 2014, article number 6698361, p. 1673-1687
Yuan, Xiao-Tong; Zhang, Tong Article
Random Design Analysis of Ridge Regression
Foundations of Computational Mathematics, v. 14, (3), June 2014, p. 569-600
Hsu, Daniel; Kakade, Sham M.; Zhang, Tong Article
A convergence rate analysis for LogitBoost, MART and their variant
31st International Conference on Machine Learning, ICML 2014, v. 4, 2014, p. 3001-3021
Sun, Peng; Zhang, Tong; Zhou, Jie Conference paper
Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization
31st International Conference on Machine Learning, ICML 2014, v. 1, 2014, p. 111-119
Shnlev-Shwartz, Shai; Zhang, Tong Conference paper
Communication-efficient distributed optimization using an approximate Newton-type method
31st International Conference on Machine Learning, ICML 2014, v. 3, 2014, p. 2665-2681
Shamir, Ohad; Srebro, Nathan; Zhang, Tong Conference paper
Compressed counting meets compressed sensing
Proceedings of Machine Learning Research, v. 35, 2014, p. 1058-1077
Li, Ping; Zhang, Cun-Hui; Zhang, Tong Conference paper
Efficient mini-batch training for stochastic optimization
Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, 2014, p. 661-670
Li, Mu; Zhang, Tong; Chen, Yuqiang; Smola, A.J. Conference paper
Gradient hard thresholding pursuit for sparsity-constrained optimization
31st International Conference on Machine Learning, ICML 2014, v. 2, 2014, p. 1322-1330
Yuan, Xiaotong; Li, Ping; Zhang, Tong Conference paper

2013 9

A Joint Matrix Completion and Filtering Model for Influenza Serological Data Integration
PLoS ONE, v. 8, (7), July 2013, article number e69842, p. 1-12
Yuan, Xiao-Tong; Zhang, Tong; Wan, Xiu-Feng Article
A proximal-gradient homotopy method for the sparse least-squares problem
SIAM Journal on Optimization, v. 23, (2), 2013, p. 1062-1091
Xiao, Lin; Zhang, Tong Article
Multi-stage convex relaxation for feature selection
Bernoulli, v. 19, (5B), November 2013, p. 2277-2293
Zhang, Tong Article
Stochastic Dual Coordinate Ascent methods for regularized loss minimization
Journal of Machine Learning Research, v. 14, (1), February 2013, p. 567-599
Shalev-Shwartz, Shai; Zhang, Tong Article
Truncated power method for sparse eigenvalue problems
Journal of Machine Learning Research, v. 14, (1), 2013, p. 899-925
Yuan, Xiao-Tong; Zhang, Tong Article
Accelerated mini-batch stochastic dual coordinate ascent
Advances in Neural Information Processing Systems, v. 26, 2013, p. 1-8
Shalev-Shwartz, Shai; Zhang, Tong Conference paper
Accelerating stochastic gradient descent using predictive variance reduction
Advances in Neural Information Processing Systems, v. 26, 2013, p. 1-9
Johnson, Rie; Zhang, Tong Conference paper
High-dimensional joint sparsity random effects model for multi-task learning
Proceedings of the 29th Conference Uncertainty in Artificial Intelligence, UAI 2013, 5013, p. 42-51
Balasubramanian, K.; Yu, K.; Zhang, T. Conference paper
Stochastic gradient descent for non-smooth optimization: Convergence results and optimal averaging schemes
30th International Conference on Machine Learning, ICML 2013, (Part 1), 2013, p. 71-79
Shamir, Ohad; Zhang, Tong Conference paper

2012 9

A General theory of concave regularization for high-dimensional sparse estimation problems
Statistical Science, v. 27, (4), November 2012, p. 576-593
Zhang, Cun-Hui; Zhang, T. Article
A spectral algorithm for learning Hidden Markov Models
Journal of Computer and System Sciences, v. 78, (5), September 2012, p. 1460-1480
Hsu, Daniel; Kakade, Sham M.; Zhang, Tong Article
A tail inequality for quadratic forms of subgaussian random vectors
Electronic Communications in Probability, v. 17, November 2012, article number 52, p. 1-6
Hsu, Daniel; Kakade, Sham M.; Zhang, Tong Article
Deviation optimal learning using greedy q-aggregation
Annals of Statistics, v. 40, (3), June 2012, p. 1878-1905
Dai, Dong; Rigollet, Philippe; Zhang, Tong Article
Identifying antigenicity-associated sites in highly pathogenic H5N1 influenza virus hemagglutinin by using sparse learning
Journal of Molecular Biology, v. 422, (1), September 2012, p. 145-155
Cai, Zhipeng; Ducatez, Mariette F.; Yang, Jialiang; Zhang, Tong; Long, Li-Ping; Boon, Adrianus C; Webby, Richard J.; Wan, Xiu-Feng Article
Tail inequalities for sums of random matrices that depend on the intrinsic dimension
Electronic Communications in Probability, v. 17, March 2012, article number 14, p. 1-13
Hsu, Daniel; Kakadey, Sham M.; Zhang, Tong Article
A proximal-gradient homotopy method for the ? 1-regularized least-squares problem
Proceedings of the 29th International Conference on Machine Learning, ICML 2012, v. 1, 2012, p. 839-846
Xiao, Lin; Zhang, Tong Conference paper
Random design analysis of ridge regression
Proceedings of Machine Learning Research, v. 23, 2012, p. 9.1-9.24
Hsu, Daniel; Kakade, Sham M.; Zhang, Tong Conference paper
Selective labeling via error bound minimization
Advances in Neural Information Processing Systems, v. 25, (1), 2012, p. 323-331
Gu, Quanquan; Zhang, Tong; Ding, Chris; Han, Jiawei Conference paper

2011 10

Adaptive forward-backward greedy algorithm for learning sparse representations
IEEE Transactions on Information Theory, v. 57, (7), July 2011, article number 5895111, p. 4689-4708
Zhang, Tong Article
Concepts and applications for influenza antigenic cartography
Influenza and other respiratory viruses, v. 5 Suppl 1, May 2011, p. 204-207
Cai, Zhipeng; Zhang, Tong; Wan, Xiu-Feng Article
Integrative analysis of many weighted Co-Expression networks using tensor computation
PLoS Computational Biology, v. 7, (6), June 2011, article number e1001106
Li, Wenyuan; Liu, Chun-Chi; Zhang, Tong; Li, Haifeng; Waterman, Michael S.; Zhou, Xianghong Jasmine Article
Learning with structured sparsity
Journal of Machine Learning Research, v. 12, November 2011, article number 103, p. 3371-3412
Huang, Junzhou; Zhang, Tong; Metaxas, Dimitris Article
Robust matrix decomposition with sparse corruptions
IEEE Transactions on Information Theory, v. 57, (11), November 2011, article number 5934412, p. 7221-7234
Hsu, Daniel; Kakade, Sham M.; Zhang, Tong Article
Sparse recovery with orthogonal matching pursuit under RIP
IEEE Transactions on Information Theory, v. 57, (9), 2011, article number 6006641, p. 6245-6221
Zhang, Tong Article
Efficient optimal learning for contextual bandits
Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence, UAI 2011, 2011, p. 169-178
Dudik, M.; Hsu, D.; Kale, S.; Karampatziakis, N.; Langford, J.; Reyzin, L.; Zhang, T. Conference paper
Greedy model averaging
Advances in Neural Information Processing Systems, v. 24, 2011, p. 1-9
Dai, Dong; Zhang, Tong Conference paper
Learning to search efficiently in high dimensions
Advances in Neural Information Processing Systems, v. 24, 2011, p. 1-9
Li, Zhen; Ning, Huazhong; Cao, Liangliang; Zhang, Tong; Gong, Yihong; Huang, Thomas S. Conference paper
Spectral methods for learning multivariate latent tree structure
Advances in Neural Information Processing Systems, v. 24, 2011, p. 1-9
Anandkumar, Animashree; Chaudhuri, Kamalika; Hsu, Daniel; Kakade, Sham M.; Song, Le; Zhang, Tong Conference paper

2010 9

A computational framework for influenza antigenic cartography
PLoS Computational Biology, v. 6, (10), October 2010, article number 1000949
Cai, Zhipeng; Zhang, Tong; Wan, Xiu-Feng Article
Analysis of multi-stage convex relaxation for sparse regularization
Journal of Machine Learning Research, v. 11, March 2010, p. 1081-1107
Zhang, Tong Article
The benefit of group sparsity
Annals of Statistics, v. 38, (4), August 2010, p. 1978-2004
Huang, Junzhou; Zhang, T. Article
Trading accuracy for sparsity in optimization problems with sparsity constraints
SIAM Journal on Optimization, v. 20, (6), 2010, p. 2807-2832
Shalev-Shwartz, Shai; Srebro, Nathan; Zhang, Tong Article
Fundamental statistical techniques
Handbook of Natural Language Processing / Nitin Indurkhya, Fred J. Damerau. Boca Raton, London, Now York : CRC Press, 2010, p. 189-204, Ch. 9. Second Edition. Book Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition Series.
Zhang, Tong Book chapter
Agnostic active learning without constraints
Advances in Neural Information Processing Systems, v. 23, 2010, p. 1-9
Beygelzimer, Alina; Hsu, Daniel; Langford, John; Zhang, Tong Conference paper
Deep coding network
Advances in Neural Information Processing Systems, v. 23, 2010, p. 1-9
Lin, Yuanqing; Zhang, Tong; Zhu, Shenghuo; Yu, Kai Conference paper
Image classification using supervector coding of local image descriptors
Lecture Notes in Computer Science, v. 6315 LNCS, (5), 2010, p. 141-154, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Zhou, Xi; Yu, Kai; Zhang, Tong; Huang, Thomas S. Conference paper
Improved local coordinate coding using local tangents
Proceedings of the 27th International Conference on Machine Learning, ICML 2010, 2010, p. 1215-1222
Yu, K.; Zhang, Tong Conference paper

2009 9

Classifying search quries using the web as a source of knowledge.
ACM Transactions on the Web, v. 3, (2), April 2009, article number 5
Gabrilovich, Evgeniy; Broder, Andrei; Fontoura, Marcus; Joshi, Amruta; Josifovski, Vanja; Riedel, Lance; Zhang, Tong Article
On the consistency of feature selection using greedy least squares regression
Journal of Machine Learning Research, v. 10, January 2009, p. 555-568
Zhang, Tong Article
Some sharp performance bounds for least squares regression with L₁ regularization
Annals of Statistics, v. 37, (5A), 2009, p. 2109-2144
Zhang, T. Article
Sparse Online Learning via Truncated Gradient
Journal of Machine Learning Research, v. 10, January 2009, p. 777-801
Langford, John; Li, Lihong; Zhang, Tong Article
A spectral algorithm for learning hidden Markov models
Conference on Learning Theory (COLT) Proceedings, 2009
Hsu, Daniel; Kakade, Sham M.; Zhang, Tong Conference paper
Learning nonlinear dynamic models
Proceedings of the 26th International Conference On Machine Learning, ICML 2009, 2009, p. 593-600
Langford, J.; Salakhutdinov, R.; Zhang, T. Conference paper
Learning with structured sparsity
ACM International Conference Proceeding Series, v. 382, 2009, article number 52, p. 417-424
Huang, Junzhou; Zhang, Tong; Metaxas, Dimitris Conference paper
Multi-label prediction via compressed sensing
Advances in Neural Information Processing Systems, v. 22, 2009, p. 772-780
Hsu, D.; Kakade, S.M.; Langford, J.; Zhang, T. Conference paper
Nonlinear learning using local coordinate coding
Advances in Neural Information Processing Systems, v. 22, 2009, p. 2223-2231
Yu, K.; Zhang, T.; Gong, Y. Conference paper

2008 6

An online relevant set algorithm for statistical machine translation
IEEE Transactions on Audio, Speech and Language Processing, v. 16, (7), September 2008, p. 1274-1286
Tillmann, Christoph; Zhang, Tong Article
Graph-based semi-supervised learning and spectral kernel design
IEEE Transactions on Information Theory, v. 54, (1), January 2008, p. 275-288
Johnson, Ric; Zhang, Tong Article
Statistical analysis of Bayes optimal subset ranking
IEEE Transactions on Information Theory, v. 54, (11), 2008, p. 5140-5154
Cossock, David; Zhang, Tong Article
Adaptive forward-backward greedy algorithm for sparse learning with linear models
Advances in Neural Information Processing Systems, v. 21, 2009, p. 1921-1928
Zhang, Tong Conference paper
Multi-stage convex relaxation for learning with sparse regularization
Advances in Neural Information Processing Systems, v. 21, 2009, p. 1929-1936
Zhang, Tong Conference paper
Sparse online learning via truncated gradient
Advances in Neural Information Processing Systems, v. 21, 2008, p. 905-912
Langford, J.; Li, L.; Zhang, T. Conference paper

2007 7

A block bigram prediction model for statistical machine translation
ACM Transactions on Speech and Language Processing, v. 4, (3), July 2007, article number 1255172
Tillmann, Christoph; Zhang, Tong Article
On the effectiveness of Laplacian normalization for graph semi-supervised learning
Journal of Machine Learning Research, v. 8, July 2007, p. 1489-1517
Johnson, Rie; Zhang, Tong Article
A general boosting method and its application to learning ranking functions for Web search
Advances in Neural Information Processing Systems, v. 20, 2009, p. 1-8
Zheng, Z.; Zha, H.; Zhang, T.; Chapelle, O.; Chen, K.; Sun, G. Conference paper
Epoch-Greedy algorithm for multi-armed bandits with side information
Advances in Neural Information Processing Systems (NIPS 2007), v. 20, 2007, p. 1-8
Langford, John; Zhang, Tong Conference paper
Margin based active learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 4539 LNAI, 2007, p. 35-50
Balcan, Maria-Florina; Broder, Andrei; Zhang, Tong Conference paper
Robust classification of rare queries using web knowledge
Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07, 2007, p. 231-238
Broder, Andrei Z.; Fontoura, Marcus; Gabrilovich, Evgeniy; Joshi, Amruta; Josifovski, Vanja; Zhang, Tong Conference paper
Two-view feature generation model for semi-supervised learning
ACM International Conference Proceeding Series, v. 227, 2007, p. 25-32
Ando, Rie Kubota; Zhang, Tong Conference paper

2006 6

From ε-entropy to KL-entropy: Analysis of minimum information complexity density estimation
Annals of Statistics, v. 34, (5), October 2006, p. 2180-2210
Zhang, Tong Article
Information theoretical upper and lower bounds for statistical estimation
IEEE Transactions on Information Theory, v. 52, (4), April 2006, p. 1307-1321
Zhang, T. Article
A discriminative global training algorithm for statistical MT
Proceedings of 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics (COLING/ACL 2006), v. 1, 2006, p. 721-728
Tillmann, Christoph; Zhang, Tong Conference paper
Learning on graph with Laplacian regularization
Advances in Neural Information Processing Systems, v. 19, 2007, p. 25-32
Ando, Rie K.; Zhang, Tong Conference paper
Linear prediction models with graph regularization for Web-page categorization
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, v. 2006, 2006, p. 821-826
Zhang, Tong; Popescul, Alexandrin; Dom, Byron Conference paper
Subset ranking using regression
Lecture Notes in Computer Science, v. 4005 LNAI, 2006, p. 605-619, including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
Cossock, David; Zhang, Tong Conference paper

2005 10

A framework for learning predictive structures from multiple tasks and unlabeled data
Journal of Machine Learning Research, v. 6, November 2005, p. 1817-1853
Ando, Rie Kubota; Zhang, Tong Article
Boosting with early stopping: Convergence and consistency
Annals of Statistics, v. 33, (4), August 2005, p. 1538-1579
Zhang, Tong; Yu, Bin Article
Learning bounds for kernel regression using effective data dimensionality
Neural Computation, v. 17, (9), September 2005, p. 2077-2098
Zhang, Tong Article
Text mining: Predictive methods for analyzing unstructured information
Text Mining: Predictive Methods for Analyzing Unstructured Information / 2005, p. 1-237
Weiss, S.M.; Indurkhya, N.; Zhang, Tong; Damerau, F.J. Book
A high-performance semi-supervised learning method for text chunking
Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL-05), 2005, p. 1-9
Ando, Rie Kubota; Zhang, Tong Conference paper
A localized prediction model for statistical machine translation
Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL-05), 2005, p. 557-564
Tillmann, C.; Zhang, Tong Conference paper
Analysis of spectral kernel design based semi-supervised learning
Advances in Neural Information Processing Systems, 2005, p. 1601-1608
Zhang, Tong; Ando, Rie K. Conference paper
Data dependent concentration bounds for sequential prediction algorithms
Lecture Notes in Computer Science, v. 3559 LNAI, 2005, p. 173-187, (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Zhang, Tong Conference paper
Localized upper and lower bounds for some estimation problems
Lecture Notes in Computer Science, v. 3559 LNAI, 2005, p. 516-530, (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Zhang, Tong Conference paper
TREC 2005 genomics track experiments at IBM watson
NIST Special Publication, 2005, p. 1-10
Ando, Rie Kubota; Dredze, Mark; Zhang, Tong Conference paper

2004 14

Greedy algorithms for classification - Consistency, convergence rates, and adaptivity
Journal of Machine Learning Research, v. 4, (4), May 2004, p. 713-742
Mannor, Shie; Meir, Ron; Zhang, Tong Article
Statistical analysis of some multi-category large margin classification methods
Journal of Machine Learning Research, v. 5, October 2004, p. 1225-1251
Zhang, Tong Article
Statistical behavior and consistency of classification methods based on convex risk minimization
Annals of Statistics, v. 32, (1), February 2004, p. 56-85
Zhang, Tong Article
Text categorization for a comprehensive time-dependent benchmark
Information Processing and Management, v. 40, (2), March 2004, p. 209-221
Damerau, Fred J.; Zhang, Tong; Weiss, Sholom M.; Indurkhya, Nitin Article
An evaluation of over-the-counter medication sales for syndromic surveillance
In ICDM 2004 Workshop on Life Sciences Data Mining
Campbell, Murray S.; Li, Chung-Sheng; Aggarwal, Charu; Naphade, Milind R.; Wu, Kun-Lung; Zhang, Tong Conference paper
An infinity-sample theory for multi-category large margin classification
Advances in Neural Information Processing Systems, v. 16, 2004
Zhang, Tong Conference paper
Class-size independent generalization analsysis of some discriminative multi-category classification methods
Advances in Neural Information Processing Systems, v. 17, 2005, p. 13-16
Zhang, Tong Conference paper
Column-generation boosting methods for mixture of kernels
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD-2004, 2004, p. 521-526
Bi, Jinbo; Zhang, Tong; Bennett, K.P. Conference paper
Focused named entity recognition using machine learning
Proceedings of Sheffield SIGIR Twenty-Seventh Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004, p. 281-288
Zhang, Li; Pan, Yue; Zhang, Tong Conference paper
Generalization error bounds for Bayesian mixture algorithms
Journal of Machine Learning Research, v. 4, (5), July 2004, p. 839-860
Meir, R.; Zhang, Tong Conference paper
Learning bounds for a generalized family of Bayesian posterior distributions
Advances in Neural Information Processing Systems, v. 16, 2004, p. 1149-1156
Zhang, Tong Conference paper
On the convergence of MDL density estimation
Lecture Notes in Artificial Intelligence, v. 3120, 2004, p. 315-330, (Subseries of Lecture Notes in Computer Science)
Zhang, Tong Conference paper
Solving large scale linear prediction problems using stochastic gradient descent algorithms
21st International Conference on Machine Learning, ICML 2004, 2004, p. 919-926
Zhang, Tong Conference paper
Support vector classification with input data uncertainty
Advances in Neural Information Processing Systems, v. 17, 2005
Bi, Jinbo; Zhang, Tong Conference paper

2003 9

Leave-one-out bounds for kernel methods
Neural Computation, v. 15, (6), 2003, p. 1397-1437
Zhang, Tong Article
Sequential greedy approximation for certain convex optimization problems
IEEE Transactions on Information Theory, v. 49, (3), March 2003, p. 682-691
Zhang, Tong Article
Performance analysis and evaluation
The Handbook of Data Mining /Edited by Nong Ye. Mahwah, New Jersey; London : LAWRENCE ERLBAUM ASSOCIATES, 2003, p. 425-440, Ch. 17. Series: Human Factors and Ergonomics.
Weiss, Sholom M.; Zhang, Tong Book chapter
A robust risk minimization based named entity recognition system
Proceedings of the seventh conference on Natural language learning, CONLL 2003, v. 4, 2003, p. 204-207
Zhang, Tong; Johnson, David Conference paper
Data-dependent bounds for Bayesian mixture methods
Advances in Neural Information Processing Systems, v. 15, 2003
Meir, Ron; Zhang, Tong Conference paper
Howtogetachinesename (entity): Segmentation and combination issues.
Proceedings of the 2003 conference on Empirical methods in natural language processing, 2003, p. 200-207
Jing, Hongyan; Florian, Radu; Luo, Xiaoqiang; Zhang, Tong; Abraham Ittycheriah Conference paper
Named entity recogintion through classifier combination
Proceedings of the seventh conference on Natural language learning, CONLL 2003, v. 4, 2003, p. 168-171
Florian, Radu; Ittycheriah, Abe; Jing, Hongyan; Zhang, Tong Conference paper
On the Convergence of Boosting Procedures
Proceedings of Twentieth International Conference on Machine Learning, v. 2, 2003, p. 904-911
Zhang, Tong; Yu, Bin Conference paper
Updating an nlp system to fit new domains: an empirical study on the sentence segmentation problem
Proceedings of the seventh conference on Natural language learning, CONLL 2003, v. 4, 2003, p. 56-62
Zhang, Tong; Damerau, Fred; Johnson, David Conference paper

2002 12

A decision-tree-based symbolic rule induction system for text categorization
IBM Systems Journal, v. 41, (3), 2002, p. 428-437
Johnson, D.E.; Oles, F.J.; Zhang, Tong; Goetz, T. Article
Approximation bounds for some sparse kernel regression algorithms
Neural Computation, v. 14, (12), December 2002, p. 3013-3042
Zhang, Tong Article
Covering Number Bounds of Certain Regularized Linear Function Classes
Journal of Machine Learning Research, v. 2, (3), 2002, p. 527-550
Zhang, Tong Article
On the consistency of instantaneous rigid motion estimation
International Journal of Computer Vision, v. 46, (1), 2002, article number 390064, p. 51-79
Zhang, Tong; Tomasi, Carlo Article
On the dual formulation of regularized linear systems
Machine Learning, v. 46, (1-3), January 2002, p. 91-129
Zhang, Tong Article
Recommender Systems Using Linear Classifiers
Journal of Machine Learning Research, v. 2, (3), 2002, p. 313-334
Zhang, Tong; Iyengar, Vijay S. Article
Text Chunking based on a Generalization of Winnow
Journal of Machine Learning Research, v. 2, (4), 2002, p. 615-638
Zhang, Tong; Damerau, Fred; Johnson, David Article
Two-Sided Arnoldi and Nonsymmetric Lanczos Algorithms
SIAM Journal on Matrix Analysis and Applications, v. 24, (2), December 2002, p. 303-319
Cullum, Jane; Zhang, Tong Article
Effective dimension and generalization of kernel learning
Advances in Neural Information Processing Systems, v. 15, 2003
Zhang, Tong Conference paper
Generalization performance of some learning problems in hilbert functional spaces
Advances in Neural Information Processing Systems, v. 14, 2002, p. 543-550
Zhang, Tong Conference paper
Statistical behavior and consistency of support vector machines, boosting, and beyond
19th International Conference on Machine Learning, ICML 2002, Sydney, Australia, 8-12 July 2002
Zhang, Tong Conference paper
The consistency of greedy algorithms for classification
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), v. 2375, 2002, p. 319-333
Mannor, Shie; Meir, Ron; Zhang, Tong Conference paper

2001 10

Rank-one approximation to high order tensors
SIAM Journal on Matrix Analysis and Applications, v. 23, (2), November 2001, p. 534-550
Zhang, Tong; Golub, Gene H. Article
Text Categorization Based on Regularized Linear Classification Methods
Information Retrieval, v. 4, (1), April 2001, p. 5-31
Zhang, Tong; Oles, Frank J. Article
A general greedy approximation algorithm with applications
Advances in Neural Information Processing Systems, v. 14, 2002
Zhang, Tong Conference paper
A leave-one-out cross validation bound for kernel methods with applications in learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 2111, 2001, p. 427-443
Zhang, Tong Conference paper
A sequential approximation bound for some sample-dependent convex optimization problems with applications in learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 2111, 2001, p. 65-81
Zhang, Tong Conference paper
Convergence of large margin separable linear classification
Advances in Neural Information Processing Systems, v. 13, 2001
Zhang, Tong Conference paper
Empirical study of recommender systems using linear classifiers
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), v. 2035, 2001, p. 16-27
Iyengar, V.S.; Zhang, Tong Conference paper
Regularized winnow methods
Advances in Neural Information Processing Systems, v. 13, 2001
Zhang, Tong Conference paper
Some sparse approximation bounds for regression problems
8th International Conference on Machine Learning, ICML 2001, 2001, p. 624-631
Zhang, Tong Conference paper
Text chunking using regularized Winnow
roceedings of the 39th Annual Meeting on Association for Computational Linguistics, 2001, p. 539-546
Zhang, Tong; Damera, Fred; Johnson, David Conference paper

2000 4

A Method for Reduced-Order Modeling and Simulation of Large Interconnect Circuits and its Application to PEEC Models with Retardation
IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, v. 47, (4), April 2000, p. 261-273
Cullum, J; Ruehli, A; Zhang, T. Article
A probability analysis on the value of unlabeled data for classification problems
7th International Conference on Machine Learning, ICML'00, Stanford, CA, USA, 29 June - 2 July 2000
Zhang, Tong; Oles, Frank J. Conference paper
Active learning using adaptive resampling
Proceeding of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2000, p. 91-98
Iyengar, Vijay S.; Apte, Chidanand; Zhang, Tong Conference paper
Large margin Winnow methods for text categorization
6th ACM SIGKDD international conference on Knowledge discovery and data mining, Boston, MA, USA, 20-23 August 2000
Zhang, Tong Conference paper

1999 4

Subspace iterative methods for eigenvalue problems
Linear Algebra and Its Applications, v. 294, (1-3), June 1999, p. 239-258
Zhang, T.; Golub, G.H.; Law, K.H. Article
Fast, robust, and consistent camera motion estimation
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, v. 1, 1999, article number 786934, p. 164-170
Zhang, Tong; Tomasi, Carlo Conference paper
Some theoretical results concerning the convergence of composition of regularizated linear functions
Proceedings of the 12th International Conference on Neural Information Processing Systems, 1999, p. 370-376
Zhang, Tong Conference paper
Theoretical analysis of a class of randomized regularization methods
Proceedings of the Annual ACM Conference on Computational Learning Theory, 1999, p. 156-163
Zhang, Tong Conference paper

1998 5

Eigenvalue perturbation and the generalized Krylov subspace method
Applied Numerical Mathematics, v. 27, (2), June 1998, p. 185-202
Zhang, T.; Golub, G.H.; Law, K.H. Article
On the Homotopy Method for Perturbed Symmetric Generalized Eigenvalue Problems
SIAM Journal of Scientific Computing, v. 19, (5), September 1998, p. 1625-1645
Zhang, T.; Law, K.H.; Golub, G.H. Article
A linear algorithm for optimal context clustering with application to bi-level image coding
Proceedings: 1998 International Conference on Image Processing, ICIP98, v. 1, 1998, article number 723301, p. 508-511
Greene, Daniel; Yao, Frances; Zhang, Tong Conference paper
Compression by model combination
Data Compression Conference Proceedings, 1998, p. 319-328
Zhang, Tong Conference paper
Model reduction for peec models including retardation
Proceedings of the 1998 IEEE 7th Topical Meeting on Electrical Performance of Electronic Packaging, 1998, p. 287-290
Cullurn, Jane; Ruelili, Albert E.; Zhang, Tong Conference paper

1997 2

A progressive ziv-lempel algorithm for image compression
International Conference on Compression and Complexity of Sequences Proceedings, 1998, p. 136-144
Greene, Daniel; Vishwanath, Mohan; Yao, Frances; Zhang, Tong Conference paper
Progressive Ziv-Lempel Encoding of Synthetic Images
Proceedings of Data Compression Conference (DCC '97), article number 582099, p. 441-441
Greene, Daniel; Vishwanath, Mohan; Yao, Frances; Zhang, Tong Conference paper

1996 1

Optimal surface smoothing as filter design
European Conference on Computer Vision, v. 1, 1996, p. 283-292, Part of the Lecture Notes in Computer Science book series (LNCS, volume 1064)
Taubin, Gabriel; Zhang, Tong; Golub, Gene Conference paper

1995 1

Densities of self-similar measures on the line
Experimental Mathematics, v. 4, (2), 1995, p. 101-128
Strichartz, Robert S.; Taylor, Arthur; Zhang, Tong Article


Expand All Collapse All


Article 6

A Framework of Composite Functional Gradient Methods for Generative Adversarial Models
IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 43, (1), January 2021, article number 8744312, p. 17-32
Johnson, Rie; Zhang, Tong
A stochastic extra-step quasi-Newton method for nonsmooth nonconvex optimization
Mathematical Programming, 13 March 2021
Yang, Minghan; Milzarek, Andre; Wen, Zaiwen; Zhang, Tong
DeEPCA: Decentralized Exact PCA with Linear Convergence Rate
Journal of Machine Learning Research, v. 22, 2021, article number 238
Ye, Haishan; Zhang, Tong
Finite-Sample Analysis For Decentralized Batch Multi-Agent Reinforcement Learning With Networked Agents
IEEE Transactions on Automatic Control, 5 January 2021
Zhang, Kaiqing; Yang, Zhuoran; Liu, Han; Zhang, Tong; Basar, Tamer
Local-global memory neural network for medication prediction
IEEE Transactions on Neural Networks and Learning Systems, v. 32, (4), April 2021, article number 9090345, p. 1723-1736
Song, Jun; Wang, Yueyang; Tang, Siliang; Zhang, Yin; Chen, Zhigang; Zhang, Zhongfei; Zhang, Tong; Wu, Fei
Mathematical Models of Overparameterized Neural Networks
Proceedings of the IEEE, v. 109, (5), May 2021, article number 9326403, p. 683-703
Fang, Cong; Dong, Hanze; Zhang, Tong

Conference paper 4

DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2021, p. 279-288
Ding, Yuhui; Yao, Quanming; Zhao, Huan; Zhang, Tong
Effective Sparsification of Neural Networks with Global Sparsity Constraint
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2021, Virtual, 19 - 25 June 2021
Zhou, Xiao; Zhang, Weizhong; Xu, Hang; Zhang, Tong
Involution: Inverting the Inherence of Convolution for Visual Recognition
IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021, Virtual, 19-25 June 2021
Li, Duo; Hu, Jie; Wang, Changhu; Li, Xiangtai; She, Qi; Zhu, Lei; Zhang, Tong; Chen, Qifeng
Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation
Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL-IJCNLP 2021, Aug 2021, p. 3336-3349
Diao, Shizhe; Xu, Ruijia; Su, Hongjin; Jiang, Yilei; Song, Yan; Zhang, Tong


Expand All Collapse All


Article 5

Accelerated dual-averaging primal–dual method for composite convex minimization
Optimization Methods and Software, 2020
Tan, Conghui; Qian, Yuqiu; Ma, Shiqian; Zhang, Tong
Estimating and inferring the maximum degree of stimulus-locked time-varying brain connectivity networks
Biometrics, 15 May 2020
Tan, Kean Ming; Lu, Junwei; Zhang, Tong; Liu, Han
Local Uncertainty Sampling for Large-Scale Multiclass Logistic Regression
Annals of Statistics, v. 48, (3), June 2020, p. 1770-1788
Han, Lei; Tan, Kean Ming; Yang, Ting; Zhang, Tong
MAP Inference Via ?₂ -Sphere Linear Program Reformulation
International Journal of Computer Vision, March 2020
Wu, Baoyuan; Shen, Li; Zhang, Tong; Ghanem, Bernard
Proximal Gradient Method for Nonsmooth Optimization Over the Stiefel Manifold
SIAM Journal on Optimization, v. 30, (1), 2020, p. 210-239
Chen, Shixiang; Ma, Shiqian; Man-Cho So, Anthony; Zhang, Tong

Conference paper 17

A generalized neural tangent kernel analysis for two-layer neural networks
Advances in Neural Information Processing Systems, v. 2020-December, 2020
Chen, Zixiang; Cao, Yuan; Gu, Quanquan; Zhang, Tong
Black-Box Adversarial Attack with Transferable Model-based Embedding
Eighth International Conference on Learning Representations (ICLR 2020), Virtual Conference, Formerly Addis Ababa ETHIOPIA, 26-30 April 2020
Huang, Zhichao; Zhang, Tong
Bridging the gap between sample-based and one-shot neural architecture search with BONAS
Advances in Neural Information Processing Systems, v. 2020-December, 2020
Shi, Han; Pi, Renjie; Xu, Hang; Li, Zhenguo; Kwok, James Tin Yau; Zhang, Tong
CATCH: Context-Based Meta Reinforcement Learning for Transferrable Architecture Search
Lecture Notes in Computer Science, v. 12364, November 2020, p. 185-202
Chen, Xin; Duan, Yawen; Chen, Zewei; Xu, Hang; Chen, Zihao; Liang, Xiaodan; Zhang, Tong; Li, Zhenguo
Decentralized accelerated proximal gradient descent
Advances in Neural Information Processing Systems, v. 2020-December, 2020
Ye, Haishan; Zhou, Ziang; Luo, Luo; Zhang, Tong
Finite-sample analysis for decentralized cooperative multi-agent reinforcement learning from batch data
IFAC-PapersOnLine, v. 53, (2), 2020, p. 1049-1056
Zhang, Kaiqing; Yang, Zhuoran; Liu, Han; Zhang, Tong; Basar, Tamer
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization
37th International Conference on Machine Learning, ICML 2020, v. PartF168147-7, July 2020, p. 4870-4879
Johnson, Rie; Zhang, Tong
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization
Proceedings of Machine Learning Research, v. 119, 2020, p. 4921-4930
Johnson, Rie; Zhang, Tong
How to Characterize The Landscape of Overparameterized Convolutional Neural Networks
Advances in Neural Information Processing Systems, v. 2020-December, 2020
Gu, Yihong; Zhang, Weizhong; Fang, Cong; Lee, Jason D.; Zhang, Tong
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation
Proceedings: IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPR 2020 / The Institute of Electrical and Electronics Engineers, Inc.. Piscataway, NJ : The Institute of Electrical and Electronics Engineers, Inc., 2020, p. 11990-11999, Article number 9156336
He, Chaoyang; Ye, Haishan; Shen, Li; Zhang, Tong
Model Rubik’s cube: Twisting Resolution, Depth and Width for TinyNets
Advances in Neural Information Processing Systems, v. 2020-December, 2020
Han, K.; Wang, Y.; Zhang, Q.; Zhang, W.; Xu, C.; Zhang, Tong
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts
Advances in Neural Information Processing Systems, v. 2020-December, 2020
Li, G.; Zhang, J.; Wang, Y.; Liu, C.; Tan, M.; Lin, Y.; Zhang, W.; Feng, J.; Zhang, Tong
Stable Learning via Differentiated Variable Decorrelation
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 23 August 2020, p. 2185-2193
Shen, Zheyan; Cui, Peng; Liu, Jiashuo; Zhang, Tong; Li, Bo; Chen, Zhitang
Stable Learning via Sample Reweighting
Proceedings of the AAAI Conference on Artificial Intelligence, v. 34, (4), 2020, p. 5692-5699
Shen, Zheyan; Cui, Peng; Zhang, Tong; Kuang, Kun
Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems
Advances in Neural Information Processing Systems, v. 2020-December, 2020
Luo, Luo; Ye, Haishan; Huang, Zhichao; Zhang, Tong
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data
Proceedings: IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPR 2020 / The Institute of Electrical and Electronics Engineers, Inc.. Piscataway, NJ : The Institute of Electrical and Electronics Engineers, Inc., 2020, p. 13853-13863, Article number 9156478
Chang, Qi; Qu, Hui; Zhang, Yikai; Sabuncu, Mert; Chen, Chao; Zhang, Tong; Metaxas, Dimitris
ZEN: Pre-Training Chinese Text Encoder Enhanced by N-gram Representations
Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020, November 2020, p. 4729-4740
Diao, Shizhe; Bai, Jiaxin; Song, Yan; Zhang, Tong; Wang, Yonggang


Expand All Collapse All


Article 5

Graph-guided multi-task sparse learning model: A method for identifying antigenic variants of influenza A(H3N2) virus
Bioinformatics, v. 35, (1), 2019, p. 77-87
Han, Lei; Li, Lei; Wen, Feng; Zhong, Lei; Zhang, Tong; Wan, Xiu Feng
Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models
Journal of Machine Learning Research, v. 20, August 2019, article number 119, p. 1-39
Tan, Kean Ming; Lu, Junwei; Zhang, Tong; Liu, Han
Robust Frequent Directions with Application in Online Learning
Journal of Machine Learning Research, v. 20, 2019, article number 45, p. 1-41
Luo, Luo; Chen, Cheng; Zhang, Zhihua; Li, Wu-Jun; Zhang, Tong
Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning
IEEE Access, v. 7, 2019, p. 172683-172693
Wu, Baoyuan; Chen, Weidong; Fan, Yanbo; Zhang, Yong; Hou, Jinlong; Liu, Jie; Zhang, Tong
Utilizing Second Order Information in Minibatch Stochastic Variance Reduced Proximal Iterations
Journal of Machine Learning Research, v. 20, February 2019, article number 42
Wang, Jialei; Zhang, Tong

Conference paper 10

DHER: Hindsight experience replay for dynamic goals
8th International Conference on Learning Representations, New Orleans, Louisiana, United States, 6-9 May 2019
Fang, Meng; Zhou, Cheng; Shi, Bei; Gong, Boqing; Xu, Jia; Zhang, Tong
Divergence-augmented policy optimization
Advances in Neural Information Processing Systems, v. 32, 2019
Wang, Qing; Li, Yingru; Xiong, Jiechao; Zhang, Tong
Doublesqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression
Proceedings of Machine Learning Research, v. 97, 2019, p. 6155-6165
Tang, Hanlin; Lian, Xiangru; Yu, Chen; Zhang, Tong; Liu, Ji
Doublesqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression
36th International Conference on Machine Learning, ICML 2019, (Part 16), 2019, p. 10747-10757
Tang, Hanlin; Lian, Xiangru; Yu, Chen; Zhang, Tong; Liu, Ji
Efficient Decision-based Black-box Adversarial Attacks on Face Recognition
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, v. 2019, June 2019, article number 8953400, p. 7706-7714
Dong, Yinpeng; Su, Hang; Wu, Baoyuan; Li, Zhifeng; Liu, Wei; Zhang, Tong; Zhu, Jun
Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI
Proceedings of Machine Learning Research, v. 97, 2019, p. 2576-2585
Han, Lei; Sun, Peng; Du, Yali; Xiong, Jiechao; Wang, Qing; Sun, Xinghai; Liu, Han; Zhang, Tong
Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI
36th International Conference on Machine Learning, ICML 2019, (Part 7), 2019, p. 4558-4571
Han, Lei; Sun, Peng; Dy, Yali; Xiong, Jiechao; Wang, Qing; Sun, Xinghai; Liu, Han; Zhang, Tong
N Attack: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
Proceedings of Machine Learning Research, v. 97, 2019, p. 3866-3876
Li, Yandong; Li, Lijun; Wang, Liqiang; Zhang, Tong; Gong, Boqing
N Attack: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
36th International Conference on Machine Learning, ICML 2019, (Part 10), 2019, p. 6860-6870
Li, Yandong; Li, Lijun; Wang, Liqiang; Zhang, Tong; Gong, Boqing
Reinforced Training Data Selection for Domain Adaptation
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics / Anna Korhonen, David Traum, Lluís Màrquez (Editors). Stroudsburg, USA : Association for Computational Linguistics, 2019, p. 1957-1968
Liu, Miaofeng; Song, Yan; Zou, Hongbin; Zhang, Tong


Expand All Collapse All


Article 8

A convex formulation for high-dimensional sparse sliced inverse regression
Biometrika, v. 105, (4), December 2018, p. 769-782
Tan, Kean Ming; Wang, Zhaoran; Zhang, Tong; Liu, Han; Cook, R.Dennis
Bayesian Model Averaging with Exponentiated Least Squares Loss
IEEE Transactions on Information Theory, v. 64, (5), May 2018, p. 3331-3345
Dai, Dong; Han, Lei; Yang, Ting; Zhang, Tong
Gradient hard thresholding pursuit
Journal of Machine Learning Research, v. 18, May 2018, article number 166, p. 1-43
Yuan, Xiao Tong; Li, Ping; Zhang, Tong
I-LAMM for sparse learning: Simultaneous control of algorithmic complexity and statistical error
Annals of Statistics, v. 46, (2), April 2018, p. 814-841
Fan, Jianqing; Liu, Han; Sun, Qiang; Zhang, Tong
Learning to remember translation history with a continuous cache
Transactions of the Association for Computational Linguistics, v. 6, 2016, p. 407-420
Tu, Zhaopeng; Liu, Yang; Shi, Shuming; Zhang, Tong
Near-optimal stochastic approximation for online principal component estimation
Mathematical Programming, v. 167, (1), January 2018, p. 75-97
Li, C.J.; Wang, M.; Liu, H.; Zhang, T.
Pathwise coordinate optimization for sparse learning: Algorithm and theory
Annals of Statistics, v. 46, (1), February 2018, p. 180-218
Zhao, Tuo; Liu, Han; Zhang, Tong
Sparse generalized eigenvalue problem: optimal statistical rates via truncated Rayleigh flow
Journal of the Royal Statistical Society. Series B: Statistical Methodology, v. 80, (5), November 2018, p. 1057-1086
Tan, Kean Ming; Wang, Zhaoran; Liu, Han; Zhang, Tong

Conference paper 22

An algorithmic framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-gradient method
35th International Conference on Machine Learning, ICML 2018, v. 10, 2018, p. 7376-7385
Shen, Li; Sun, Peng; Wang, Yitong; Liu, Wei; Zhang, Tong
An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method
Proceedings of Machine Learning Research, v. 80, July 2018, p. 4636-4643
Shen, Li; Sun, Peng; Wang, Yitong; Liu, Wei; Zhang, Tong
Candidates vs. noises estimation for large multi-class classification problem
35th International Conference on Machine Learning, ICML 2018, v. 5, 2018, p. 3013-3029
Han, Lei; Huang, Yiheng; Zhang, Tong
Candidates vs. noises estimation for large multi-class classification problem
Proceedings of Machine Learning Research, v. 80, July 2018, p. 1890-1899
Han, Lei; Huang, Yiheng; Zhang, Tong
Communication compression for decentralized training
Advances in Neural Information Processing Systems, v. 31, 2018, p. 7652-7662
Tang, Hanlin; Gan, Shaoduo; Zhang, Ce; Zhang, Tong; Liu, Ji
Composite functional gradient learning of generative adversarial models
35th International Conference on Machine Learning, ICML 2018, v. 5, 2018, p. 3706-3724
Johnson, Rie; Zhang, Tong
Composite Functional Gradient Learning of Generative Adversarial Models
Proceedings of Machine Learning Research, v. 80, July 2018, p. 2371-2379
Johnson, Rie; Zhang, Tong
End-to-end active object tracking via reinforcement learning
35th International Conference on Machine Learning, ICML 2018, v. 7, 2018, p. 5191-5200
Luo, Wenhan; Sun, Peng; Zhong, Fangwei; Liu, Wei; Zhang, Tong; Wang, Yizhou
End-to-end active object tracking via reinforcement learning
Proceedings of Machine Learning Research, v. 80, July 2018, p. 3268-3295
Luo, Wenhan; Sun, Pan; Zhong, Fangwei; Liu, Wei; Zhang, Tong; Wang, Yizhou
Error compensated quantized sgd and its applications to large-scale distributed optimization
Proceedings of Machine Learning Research, v. 80, July 2018, p. 5325-5333
Wu, Jiaxiang; Huang, Weidong; Huang, Junzhou; Zhang, Tong
Error compensated quantized SGD and its applications to large-scale distributed optimization
35th International Conference on Machine Learning, ICML 2018, v. 12, July 2018, p. 8472-8783
Wu, Jiaxiang; Huang, Weidong; Huang, Junzhou; Zhang, Tong
Exponentially weighted imitation learning for batched historical data
Advances in Neural Information Processing Systems, v. 31, 2018, p. 6288-6297
Wang, Qing; Xiong, Jiechao; Han, Lei; Sun, Peng; Liu, Han; Zhang, Tong
Fully decentralized multi-agent reinforcement learning with networked agents
35th International Conference on Machine Learning, ICML 2018, v. 13, July 2018, p. 9340-9371
Zhang, Kaiqing; Yang, Zhuoran; Liu, Han; Zhang, Tong; Basar, Tamer
Fully decentralized multi-agent reinforcement learning with networked agents
Proceedings of Machine Learning Research, v. 80, July 2018, p. 5872-5881
Zhang, Kaiqing; Yang, Zhuoran; Liu, Han; Zhang, Tong; Basar, Tamer
Gradient sparsification for communication-efficient distributed optimization
Advances in Neural Information Processing Systems, v. 31, 2018, p. 1299-1309
Wangni, J.; Liu, J.; Wang, J.; Zhang, T.
Graphical nonconvex optimization via an adaptive convex relaxation
35th International Conference on Machine Learning, ICML 2018, v. 11, July 2018, p. 7638-7645
Sun, Qiang; Tan, Kean Ming; Liu, Han; Zhang, Tong
Graphical nonconvex optimization via an adaptive convex relaxation
Proceedings of Machine Learning Research, v. 80, July 2018, p. 4810-4817
Sun, Qiang; Tan, Kean Ming; Liu, Han; Zhang, Tong
Near-optimal non-convex optimization via stochastic path integrated differential estimator
Advances in Neural Information Processing Systems, v. 31, 2018, p. 689-699
Fang, C.; Li, C.J.; Lin, Z.; Zhang, T.
Safe element screening for submodular function minimization
35th International Conference on Machine Learning, ICML 2018, v. 13, 2018, p. 9211-9220
Zhang, Weizhong; Hong, Bin; Ma, Lin; Liu, Wei; Zhang, Tong
Safe Element Screening for Submodular Function Minimization
Proceedings of Machine Learning Research, v. 80, July 2018, p. 5786-5795
Zhang, Weizhong; Hong, Bin; Ma, Lin; Liu, Wei; Zhang, Tong
Stochastic expectation maximization with variance reduction
Advances in Neural Information Processing Systems, v. 31, 2018, p. 7967-7977
Chen, J.; Zhu, J.; Teh, Y.W.; Zhang, T.
Stochastic primal-dual method for empirical risk minimization with O(1) per-iteration complexity
Advances in Neural Information Processing Systems, v. 31, 2018, p. 8366-8375
Tan, C.; Ma, S.; Zhang, T.; Liu, J.


Expand All Collapse All


Article 2

A general distributed dual coordinate optimization framework for regularized loss minimization
Journal of Machine Learning Research, v. 18, October 2017, article number 115, p. 1-52
Zheng, Shyn; Wang, Jialei; Xia, Fen; Xu, Wei; Zhang, Tong
Hierarchical Contextual Attention Recurrent Neural Network for Map Query Suggestion
IEEE Transactions on Knowledge and Data Engineering, v. 29, (9), September 2017, article number 7917325, p. 1888-1901
Song, Jun; Xiao, Jun; Wu, Fei; Wu, Haishan; Zhang, Tong; Zhang, Zhongfei Mark; Zhu, Wenwu

Conference paper 7

Deep pyramid convolutional neural networks for text categorization
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, v. 1, 2017, p. 562-570
Johnson, Rie; Zhang, Tong
Diffusion approximations for online principal component estimation and global convergence
Advances in Neural Information Processing Systems, v. 30, 2017, p. 646-656
Li, Chris Junchi; Wang, Mendgi; Liu, Han; Zhang, Tong
Efficient distributed learning with sparsity
34th International Conference on Machine Learning, ICML 2017, v. 7, 2017, p. 5544-5563
Wang, Jialei; KoIar, Mladen; Srebro, Nathan; Zhang, Tong
Efficient distributed learning with sparsity
Proceedings of Machine Learning Research, v. 70, 2017, p. 3636-3645
Wang, Jialei; KoIar, Mladen; Srebro, Nathan; Zhang, Tong
On quadratic convergence of DC proximal Newton algorithm in nonconvex sparse learning
Advances in Neural Information Processing Systems, 2017, p. 2743-2753
Li, Xingguo; Yang, Lin F.; Ge, Jason; Haupt, J.; Zhang, Tong; Zhao, Tuo
Projection-free distributed online learning in networks
34th International Conference on Machine Learning, ICML 2017, v. 8, 2017, p. 6155-6166
Zhang, Wenpeng; Zhao, Peilin; Zhu, Wenwu; Hoi, Steven C. H.; Zhang, Tong
Projection-free distributed online learning in networks
Proceedings of Machine Learning Research, v. 70, 2017, p. 4054-4062
Zhang, Wenpeng; Zhao, Peilin; Zhu, Wenwu; Hoi, Steven C. H.; Zhang, Tong


Expand All Collapse All


Article 2

Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization
Mathematical Programming, v. 155, (1-2), January 2016, p. 105-145
Shalev-Shwartz, Shai; Zhang, Tong
Towards more efficient SPSD matrix approximation and CUR matrix decomposition
Journal of Machine Learning Research, v. 17, December 2016, article number 210, p. 1-49
Wang, Shusen; Zhang, Zhihua; Zhang, Tong

Conference paper 7

Exact recovery of hard thresholding pursuit
Advances in Neural Information Processing Systems, v. 29, 2016, p. 3565-3573
Yuan, Xiaotong; Li, Ping; Zhang, Tong
Learning additive exponential family graphical models via l_2,1-norm regularized M-estimation
Advances in Neural Information Processing Systems, v. 29, 2016, p. 4374-4382
Yuan, Xiao-Tong; Li, Ping; Zhang, Tong; Liu, Qingshan; Liu, Guangcan
Sparse nonlinear regression: Parameter estimation under nonconvexity
33rd International Conference on Machine Learning, ICML 2016, v. 5, 2016, p. 3668-3677
Yang, Zhuoran; Wang, Zhaoran; Liu, Han; Eldar, Yonina C.; Zhang, Tong
Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity
Proceedings of Machine Learning Research, v. 48, 2016, p. 2472-2481
Yang, Zhuoran; Wang, Zhaoran; Liu, Hanlong; Eldar, Yonina C.; Zhang, Tong
Stochastic optimization with importance sampling for regularized loss minimization
Proceedings of Machine Learning Research, v. 37, 2015, p. 1-9
Zhao, Peilin; Zhang, Tong
Supervised and semi-supervised text categorization using LSTM for region embeddings
Proceedings of Machine Learning Research, v. 48, 2016, p. 526-534
Johnson, Rie; Zhang, Tong
Supervised and semi-supervised text categorization using LSTM for region embeddings
33rd International Conference on Machine Learning, ICML 2016, v. 2, 2016, p. 794-802
Johnson, Rie; Zhang, Tong


Expand All Collapse All


Article 1

Learning sparse low-threshold linear classifiers
Journal of Machine Learning Research, v. 16, July 2015, p. 1275-1304
Sabato, Sivan; Shalev-Shwartz, Shai; Srebro, Natwhan; Hsu, Daniel; Zhang, Tong

Conference paper 8

Adaptive stochastic alternating direction method of multipliers
32nd International Conference on Machine Learning, ICML 2015, v. 1, 2015, p. 69-77
Zhao, Peilin; Yang, Jinwei; Zhang, Tong; Li, Ping
Adaptive stochastic alternating direction method of multipliers
Proceedings of Machine Learning Research, v. 37, 2015, p. 69-77
Zhao, Peilin; Yang, Jinwei; Zhang, Tong; Li, Ping
Crowd fraud detection in internet advertising
Proceedings of the 24th International Conference on World Wide Web, 2015, p. 1100-1110
Tian, Tian; Zhu, Jun; Xia, Fen; Zhuang, Xin; Zhang, Tong
Effective use of word order for text categorization with convolutional neural networks
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2015, 2015, p. 103-112
Johnson, Rie; Zhang, Tong
Local smoothness in variance reduced optimization
Advances in Neural Information Processing Systems, v. 28, 2015, p. 2179-2187
Vainsencher, Daniel; Liu, Han; Zhang, Tong
Quartz: Randomized dual coordinate ascent with arbitrary sampling
Advances in Neural Information Processing Systems, 2015, p. 865-873
Qu, Zheng; Richtárik, Peter; Zhang, Tong
Semi-supervised convolutional neural networks for text categorization via region embedding
Advances in Neural Information Processing Systems, v. 28, 2015, p. 919-927
Johnson, Rie; Zhang, Tong
Stochastic optimization with importance sampling for regularized loss minimization
32nd International Conference on Machine Learning, ICML 2015, v. 1, 2015, p. 1-9
Zhao, Peillin; Zhang, Tong


Expand All Collapse All


Article 5

A proximal stochastic gradient method with progressive variance reduction
SIAM Journal on Optimization, v. 24, (4), 2014, p. 2057-2075
Xiao, Lin; Zhang, Tong
Learning nonlinear functions using regularized greedy forest
IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 36, (5), 2014, p. 942-54
Johnson, Rie; Zhang, Tong
Optimal computational and statistical rates of convergence for sparse nonconvex learning problems
Annals of Statistics, v. 42, (6), December 2014, p. 2164-2201
Wang, Zhaoran; Liu, Han; Zhang, Tong
Partial Gaussian graphical model estimation
IEEE Transactions on Information Theory, v. 60, (3), March 2014, article number 6698361, p. 1673-1687
Yuan, Xiao-Tong; Zhang, Tong
Random Design Analysis of Ridge Regression
Foundations of Computational Mathematics, v. 14, (3), June 2014, p. 569-600
Hsu, Daniel; Kakade, Sham M.; Zhang, Tong

Conference paper 6

A convergence rate analysis for LogitBoost, MART and their variant
31st International Conference on Machine Learning, ICML 2014, v. 4, 2014, p. 3001-3021
Sun, Peng; Zhang, Tong; Zhou, Jie
Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization
31st International Conference on Machine Learning, ICML 2014, v. 1, 2014, p. 111-119
Shnlev-Shwartz, Shai; Zhang, Tong
Communication-efficient distributed optimization using an approximate Newton-type method
31st International Conference on Machine Learning, ICML 2014, v. 3, 2014, p. 2665-2681
Shamir, Ohad; Srebro, Nathan; Zhang, Tong
Compressed counting meets compressed sensing
Proceedings of Machine Learning Research, v. 35, 2014, p. 1058-1077
Li, Ping; Zhang, Cun-Hui; Zhang, Tong
Efficient mini-batch training for stochastic optimization
Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, 2014, p. 661-670
Li, Mu; Zhang, Tong; Chen, Yuqiang; Smola, A.J.
Gradient hard thresholding pursuit for sparsity-constrained optimization
31st International Conference on Machine Learning, ICML 2014, v. 2, 2014, p. 1322-1330
Yuan, Xiaotong; Li, Ping; Zhang, Tong


Expand All Collapse All


Article 5

A Joint Matrix Completion and Filtering Model for Influenza Serological Data Integration
PLoS ONE, v. 8, (7), July 2013, article number e69842, p. 1-12
Yuan, Xiao-Tong; Zhang, Tong; Wan, Xiu-Feng
A proximal-gradient homotopy method for the sparse least-squares problem
SIAM Journal on Optimization, v. 23, (2), 2013, p. 1062-1091
Xiao, Lin; Zhang, Tong
Multi-stage convex relaxation for feature selection
Bernoulli, v. 19, (5B), November 2013, p. 2277-2293
Zhang, Tong
Stochastic Dual Coordinate Ascent methods for regularized loss minimization
Journal of Machine Learning Research, v. 14, (1), February 2013, p. 567-599
Shalev-Shwartz, Shai; Zhang, Tong
Truncated power method for sparse eigenvalue problems
Journal of Machine Learning Research, v. 14, (1), 2013, p. 899-925
Yuan, Xiao-Tong; Zhang, Tong

Conference paper 4

Accelerated mini-batch stochastic dual coordinate ascent
Advances in Neural Information Processing Systems, v. 26, 2013, p. 1-8
Shalev-Shwartz, Shai; Zhang, Tong
Accelerating stochastic gradient descent using predictive variance reduction
Advances in Neural Information Processing Systems, v. 26, 2013, p. 1-9
Johnson, Rie; Zhang, Tong
High-dimensional joint sparsity random effects model for multi-task learning
Proceedings of the 29th Conference Uncertainty in Artificial Intelligence, UAI 2013, 5013, p. 42-51
Balasubramanian, K.; Yu, K.; Zhang, T.
Stochastic gradient descent for non-smooth optimization: Convergence results and optimal averaging schemes
30th International Conference on Machine Learning, ICML 2013, (Part 1), 2013, p. 71-79
Shamir, Ohad; Zhang, Tong


Expand All Collapse All


Article 6

A General theory of concave regularization for high-dimensional sparse estimation problems
Statistical Science, v. 27, (4), November 2012, p. 576-593
Zhang, Cun-Hui; Zhang, T.
A spectral algorithm for learning Hidden Markov Models
Journal of Computer and System Sciences, v. 78, (5), September 2012, p. 1460-1480
Hsu, Daniel; Kakade, Sham M.; Zhang, Tong
A tail inequality for quadratic forms of subgaussian random vectors
Electronic Communications in Probability, v. 17, November 2012, article number 52, p. 1-6
Hsu, Daniel; Kakade, Sham M.; Zhang, Tong
Deviation optimal learning using greedy q-aggregation
Annals of Statistics, v. 40, (3), June 2012, p. 1878-1905
Dai, Dong; Rigollet, Philippe; Zhang, Tong
Identifying antigenicity-associated sites in highly pathogenic H5N1 influenza virus hemagglutinin by using sparse learning
Journal of Molecular Biology, v. 422, (1), September 2012, p. 145-155
Cai, Zhipeng; Ducatez, Mariette F.; Yang, Jialiang; Zhang, Tong; Long, Li-Ping; Boon, Adrianus C; Webby, Richard J.; Wan, Xiu-Feng
Tail inequalities for sums of random matrices that depend on the intrinsic dimension
Electronic Communications in Probability, v. 17, March 2012, article number 14, p. 1-13
Hsu, Daniel; Kakadey, Sham M.; Zhang, Tong

Conference paper 3

A proximal-gradient homotopy method for the ? 1-regularized least-squares problem
Proceedings of the 29th International Conference on Machine Learning, ICML 2012, v. 1, 2012, p. 839-846
Xiao, Lin; Zhang, Tong
Random design analysis of ridge regression
Proceedings of Machine Learning Research, v. 23, 2012, p. 9.1-9.24
Hsu, Daniel; Kakade, Sham M.; Zhang, Tong
Selective labeling via error bound minimization
Advances in Neural Information Processing Systems, v. 25, (1), 2012, p. 323-331
Gu, Quanquan; Zhang, Tong; Ding, Chris; Han, Jiawei


Expand All Collapse All


Article 6

Adaptive forward-backward greedy algorithm for learning sparse representations
IEEE Transactions on Information Theory, v. 57, (7), July 2011, article number 5895111, p. 4689-4708
Zhang, Tong
Concepts and applications for influenza antigenic cartography
Influenza and other respiratory viruses, v. 5 Suppl 1, May 2011, p. 204-207
Cai, Zhipeng; Zhang, Tong; Wan, Xiu-Feng
Integrative analysis of many weighted Co-Expression networks using tensor computation
PLoS Computational Biology, v. 7, (6), June 2011, article number e1001106
Li, Wenyuan; Liu, Chun-Chi; Zhang, Tong; Li, Haifeng; Waterman, Michael S.; Zhou, Xianghong Jasmine
Learning with structured sparsity
Journal of Machine Learning Research, v. 12, November 2011, article number 103, p. 3371-3412
Huang, Junzhou; Zhang, Tong; Metaxas, Dimitris
Robust matrix decomposition with sparse corruptions
IEEE Transactions on Information Theory, v. 57, (11), November 2011, article number 5934412, p. 7221-7234
Hsu, Daniel; Kakade, Sham M.; Zhang, Tong
Sparse recovery with orthogonal matching pursuit under RIP
IEEE Transactions on Information Theory, v. 57, (9), 2011, article number 6006641, p. 6245-6221
Zhang, Tong

Conference paper 4

Efficient optimal learning for contextual bandits
Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence, UAI 2011, 2011, p. 169-178
Dudik, M.; Hsu, D.; Kale, S.; Karampatziakis, N.; Langford, J.; Reyzin, L.; Zhang, T.
Greedy model averaging
Advances in Neural Information Processing Systems, v. 24, 2011, p. 1-9
Dai, Dong; Zhang, Tong
Learning to search efficiently in high dimensions
Advances in Neural Information Processing Systems, v. 24, 2011, p. 1-9
Li, Zhen; Ning, Huazhong; Cao, Liangliang; Zhang, Tong; Gong, Yihong; Huang, Thomas S.
Spectral methods for learning multivariate latent tree structure
Advances in Neural Information Processing Systems, v. 24, 2011, p. 1-9
Anandkumar, Animashree; Chaudhuri, Kamalika; Hsu, Daniel; Kakade, Sham M.; Song, Le; Zhang, Tong


Expand All Collapse All


Article 4

A computational framework for influenza antigenic cartography
PLoS Computational Biology, v. 6, (10), October 2010, article number 1000949
Cai, Zhipeng; Zhang, Tong; Wan, Xiu-Feng
Analysis of multi-stage convex relaxation for sparse regularization
Journal of Machine Learning Research, v. 11, March 2010, p. 1081-1107
Zhang, Tong
The benefit of group sparsity
Annals of Statistics, v. 38, (4), August 2010, p. 1978-2004
Huang, Junzhou; Zhang, T.
Trading accuracy for sparsity in optimization problems with sparsity constraints
SIAM Journal on Optimization, v. 20, (6), 2010, p. 2807-2832
Shalev-Shwartz, Shai; Srebro, Nathan; Zhang, Tong

Book chapter 1

Fundamental statistical techniques
Handbook of Natural Language Processing / Nitin Indurkhya, Fred J. Damerau. Boca Raton, London, Now York : CRC Press, 2010, p. 189-204, Ch. 9. Second Edition. Book Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition Series.
Zhang, Tong

Conference paper 4

Agnostic active learning without constraints
Advances in Neural Information Processing Systems, v. 23, 2010, p. 1-9
Beygelzimer, Alina; Hsu, Daniel; Langford, John; Zhang, Tong
Deep coding network
Advances in Neural Information Processing Systems, v. 23, 2010, p. 1-9
Lin, Yuanqing; Zhang, Tong; Zhu, Shenghuo; Yu, Kai
Image classification using supervector coding of local image descriptors
Lecture Notes in Computer Science, v. 6315 LNCS, (5), 2010, p. 141-154, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Zhou, Xi; Yu, Kai; Zhang, Tong; Huang, Thomas S.
Improved local coordinate coding using local tangents
Proceedings of the 27th International Conference on Machine Learning, ICML 2010, 2010, p. 1215-1222
Yu, K.; Zhang, Tong


Expand All Collapse All


Article 4

Classifying search quries using the web as a source of knowledge.
ACM Transactions on the Web, v. 3, (2), April 2009, article number 5
Gabrilovich, Evgeniy; Broder, Andrei; Fontoura, Marcus; Joshi, Amruta; Josifovski, Vanja; Riedel, Lance; Zhang, Tong
On the consistency of feature selection using greedy least squares regression
Journal of Machine Learning Research, v. 10, January 2009, p. 555-568
Zhang, Tong
Some sharp performance bounds for least squares regression with L₁ regularization
Annals of Statistics, v. 37, (5A), 2009, p. 2109-2144
Zhang, T.
Sparse Online Learning via Truncated Gradient
Journal of Machine Learning Research, v. 10, January 2009, p. 777-801
Langford, John; Li, Lihong; Zhang, Tong

Conference paper 5

A spectral algorithm for learning hidden Markov models
Conference on Learning Theory (COLT) Proceedings, 2009
Hsu, Daniel; Kakade, Sham M.; Zhang, Tong
Learning nonlinear dynamic models
Proceedings of the 26th International Conference On Machine Learning, ICML 2009, 2009, p. 593-600
Langford, J.; Salakhutdinov, R.; Zhang, T.
Learning with structured sparsity
ACM International Conference Proceeding Series, v. 382, 2009, article number 52, p. 417-424
Huang, Junzhou; Zhang, Tong; Metaxas, Dimitris
Multi-label prediction via compressed sensing
Advances in Neural Information Processing Systems, v. 22, 2009, p. 772-780
Hsu, D.; Kakade, S.M.; Langford, J.; Zhang, T.
Nonlinear learning using local coordinate coding
Advances in Neural Information Processing Systems, v. 22, 2009, p. 2223-2231
Yu, K.; Zhang, T.; Gong, Y.


Expand All Collapse All


Article 3

An online relevant set algorithm for statistical machine translation
IEEE Transactions on Audio, Speech and Language Processing, v. 16, (7), September 2008, p. 1274-1286
Tillmann, Christoph; Zhang, Tong
Graph-based semi-supervised learning and spectral kernel design
IEEE Transactions on Information Theory, v. 54, (1), January 2008, p. 275-288
Johnson, Ric; Zhang, Tong
Statistical analysis of Bayes optimal subset ranking
IEEE Transactions on Information Theory, v. 54, (11), 2008, p. 5140-5154
Cossock, David; Zhang, Tong

Conference paper 3

Adaptive forward-backward greedy algorithm for sparse learning with linear models
Advances in Neural Information Processing Systems, v. 21, 2009, p. 1921-1928
Zhang, Tong
Multi-stage convex relaxation for learning with sparse regularization
Advances in Neural Information Processing Systems, v. 21, 2009, p. 1929-1936
Zhang, Tong
Sparse online learning via truncated gradient
Advances in Neural Information Processing Systems, v. 21, 2008, p. 905-912
Langford, J.; Li, L.; Zhang, T.


Expand All Collapse All


Article 2

A block bigram prediction model for statistical machine translation
ACM Transactions on Speech and Language Processing, v. 4, (3), July 2007, article number 1255172
Tillmann, Christoph; Zhang, Tong
On the effectiveness of Laplacian normalization for graph semi-supervised learning
Journal of Machine Learning Research, v. 8, July 2007, p. 1489-1517
Johnson, Rie; Zhang, Tong

Conference paper 5

A general boosting method and its application to learning ranking functions for Web search
Advances in Neural Information Processing Systems, v. 20, 2009, p. 1-8
Zheng, Z.; Zha, H.; Zhang, T.; Chapelle, O.; Chen, K.; Sun, G.
Epoch-Greedy algorithm for multi-armed bandits with side information
Advances in Neural Information Processing Systems (NIPS 2007), v. 20, 2007, p. 1-8
Langford, John; Zhang, Tong
Margin based active learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 4539 LNAI, 2007, p. 35-50
Balcan, Maria-Florina; Broder, Andrei; Zhang, Tong
Robust classification of rare queries using web knowledge
Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07, 2007, p. 231-238
Broder, Andrei Z.; Fontoura, Marcus; Gabrilovich, Evgeniy; Joshi, Amruta; Josifovski, Vanja; Zhang, Tong
Two-view feature generation model for semi-supervised learning
ACM International Conference Proceeding Series, v. 227, 2007, p. 25-32
Ando, Rie Kubota; Zhang, Tong


Expand All Collapse All


Article 2

From ε-entropy to KL-entropy: Analysis of minimum information complexity density estimation
Annals of Statistics, v. 34, (5), October 2006, p. 2180-2210
Zhang, Tong
Information theoretical upper and lower bounds for statistical estimation
IEEE Transactions on Information Theory, v. 52, (4), April 2006, p. 1307-1321
Zhang, T.

Conference paper 4

A discriminative global training algorithm for statistical MT
Proceedings of 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics (COLING/ACL 2006), v. 1, 2006, p. 721-728
Tillmann, Christoph; Zhang, Tong
Learning on graph with Laplacian regularization
Advances in Neural Information Processing Systems, v. 19, 2007, p. 25-32
Ando, Rie K.; Zhang, Tong
Linear prediction models with graph regularization for Web-page categorization
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, v. 2006, 2006, p. 821-826
Zhang, Tong; Popescul, Alexandrin; Dom, Byron
Subset ranking using regression
Lecture Notes in Computer Science, v. 4005 LNAI, 2006, p. 605-619, including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
Cossock, David; Zhang, Tong


Expand All Collapse All


Article 3

A framework for learning predictive structures from multiple tasks and unlabeled data
Journal of Machine Learning Research, v. 6, November 2005, p. 1817-1853
Ando, Rie Kubota; Zhang, Tong
Boosting with early stopping: Convergence and consistency
Annals of Statistics, v. 33, (4), August 2005, p. 1538-1579
Zhang, Tong; Yu, Bin
Learning bounds for kernel regression using effective data dimensionality
Neural Computation, v. 17, (9), September 2005, p. 2077-2098
Zhang, Tong

Book 1

Text mining: Predictive methods for analyzing unstructured information
Text Mining: Predictive Methods for Analyzing Unstructured Information / 2005, p. 1-237
Weiss, S.M.; Indurkhya, N.; Zhang, Tong; Damerau, F.J.

Conference paper 6

A high-performance semi-supervised learning method for text chunking
Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL-05), 2005, p. 1-9
Ando, Rie Kubota; Zhang, Tong
A localized prediction model for statistical machine translation
Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL-05), 2005, p. 557-564
Tillmann, C.; Zhang, Tong
Analysis of spectral kernel design based semi-supervised learning
Advances in Neural Information Processing Systems, 2005, p. 1601-1608
Zhang, Tong; Ando, Rie K.
Data dependent concentration bounds for sequential prediction algorithms
Lecture Notes in Computer Science, v. 3559 LNAI, 2005, p. 173-187, (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Zhang, Tong
Localized upper and lower bounds for some estimation problems
Lecture Notes in Computer Science, v. 3559 LNAI, 2005, p. 516-530, (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Zhang, Tong
TREC 2005 genomics track experiments at IBM watson
NIST Special Publication, 2005, p. 1-10
Ando, Rie Kubota; Dredze, Mark; Zhang, Tong


Expand All Collapse All


Article 4

Greedy algorithms for classification - Consistency, convergence rates, and adaptivity
Journal of Machine Learning Research, v. 4, (4), May 2004, p. 713-742
Mannor, Shie; Meir, Ron; Zhang, Tong
Statistical analysis of some multi-category large margin classification methods
Journal of Machine Learning Research, v. 5, October 2004, p. 1225-1251
Zhang, Tong
Statistical behavior and consistency of classification methods based on convex risk minimization
Annals of Statistics, v. 32, (1), February 2004, p. 56-85
Zhang, Tong
Text categorization for a comprehensive time-dependent benchmark
Information Processing and Management, v. 40, (2), March 2004, p. 209-221
Damerau, Fred J.; Zhang, Tong; Weiss, Sholom M.; Indurkhya, Nitin

Conference paper 10

An evaluation of over-the-counter medication sales for syndromic surveillance
In ICDM 2004 Workshop on Life Sciences Data Mining
Campbell, Murray S.; Li, Chung-Sheng; Aggarwal, Charu; Naphade, Milind R.; Wu, Kun-Lung; Zhang, Tong
An infinity-sample theory for multi-category large margin classification
Advances in Neural Information Processing Systems, v. 16, 2004
Zhang, Tong
Class-size independent generalization analsysis of some discriminative multi-category classification methods
Advances in Neural Information Processing Systems, v. 17, 2005, p. 13-16
Zhang, Tong
Column-generation boosting methods for mixture of kernels
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD-2004, 2004, p. 521-526
Bi, Jinbo; Zhang, Tong; Bennett, K.P.
Focused named entity recognition using machine learning
Proceedings of Sheffield SIGIR Twenty-Seventh Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004, p. 281-288
Zhang, Li; Pan, Yue; Zhang, Tong
Generalization error bounds for Bayesian mixture algorithms
Journal of Machine Learning Research, v. 4, (5), July 2004, p. 839-860
Meir, R.; Zhang, Tong
Learning bounds for a generalized family of Bayesian posterior distributions
Advances in Neural Information Processing Systems, v. 16, 2004, p. 1149-1156
Zhang, Tong
On the convergence of MDL density estimation
Lecture Notes in Artificial Intelligence, v. 3120, 2004, p. 315-330, (Subseries of Lecture Notes in Computer Science)
Zhang, Tong
Solving large scale linear prediction problems using stochastic gradient descent algorithms
21st International Conference on Machine Learning, ICML 2004, 2004, p. 919-926
Zhang, Tong
Support vector classification with input data uncertainty
Advances in Neural Information Processing Systems, v. 17, 2005
Bi, Jinbo; Zhang, Tong


Expand All Collapse All


Article 2

Leave-one-out bounds for kernel methods
Neural Computation, v. 15, (6), 2003, p. 1397-1437
Zhang, Tong
Sequential greedy approximation for certain convex optimization problems
IEEE Transactions on Information Theory, v. 49, (3), March 2003, p. 682-691
Zhang, Tong

Book chapter 1

Performance analysis and evaluation
The Handbook of Data Mining /Edited by Nong Ye. Mahwah, New Jersey; London : LAWRENCE ERLBAUM ASSOCIATES, 2003, p. 425-440, Ch. 17. Series: Human Factors and Ergonomics.
Weiss, Sholom M.; Zhang, Tong

Conference paper 6

A robust risk minimization based named entity recognition system
Proceedings of the seventh conference on Natural language learning, CONLL 2003, v. 4, 2003, p. 204-207
Zhang, Tong; Johnson, David
Data-dependent bounds for Bayesian mixture methods
Advances in Neural Information Processing Systems, v. 15, 2003
Meir, Ron; Zhang, Tong
Howtogetachinesename (entity): Segmentation and combination issues.
Proceedings of the 2003 conference on Empirical methods in natural language processing, 2003, p. 200-207
Jing, Hongyan; Florian, Radu; Luo, Xiaoqiang; Zhang, Tong; Abraham Ittycheriah
Named entity recogintion through classifier combination
Proceedings of the seventh conference on Natural language learning, CONLL 2003, v. 4, 2003, p. 168-171
Florian, Radu; Ittycheriah, Abe; Jing, Hongyan; Zhang, Tong
On the Convergence of Boosting Procedures
Proceedings of Twentieth International Conference on Machine Learning, v. 2, 2003, p. 904-911
Zhang, Tong; Yu, Bin
Updating an nlp system to fit new domains: an empirical study on the sentence segmentation problem
Proceedings of the seventh conference on Natural language learning, CONLL 2003, v. 4, 2003, p. 56-62
Zhang, Tong; Damerau, Fred; Johnson, David


Expand All Collapse All


Article 8

A decision-tree-based symbolic rule induction system for text categorization
IBM Systems Journal, v. 41, (3), 2002, p. 428-437
Johnson, D.E.; Oles, F.J.; Zhang, Tong; Goetz, T.
Approximation bounds for some sparse kernel regression algorithms
Neural Computation, v. 14, (12), December 2002, p. 3013-3042
Zhang, Tong
Covering Number Bounds of Certain Regularized Linear Function Classes
Journal of Machine Learning Research, v. 2, (3), 2002, p. 527-550
Zhang, Tong
On the consistency of instantaneous rigid motion estimation
International Journal of Computer Vision, v. 46, (1), 2002, article number 390064, p. 51-79
Zhang, Tong; Tomasi, Carlo
On the dual formulation of regularized linear systems
Machine Learning, v. 46, (1-3), January 2002, p. 91-129
Zhang, Tong
Recommender Systems Using Linear Classifiers
Journal of Machine Learning Research, v. 2, (3), 2002, p. 313-334
Zhang, Tong; Iyengar, Vijay S.
Text Chunking based on a Generalization of Winnow
Journal of Machine Learning Research, v. 2, (4), 2002, p. 615-638
Zhang, Tong; Damerau, Fred; Johnson, David
Two-Sided Arnoldi and Nonsymmetric Lanczos Algorithms
SIAM Journal on Matrix Analysis and Applications, v. 24, (2), December 2002, p. 303-319
Cullum, Jane; Zhang, Tong

Conference paper 4

Effective dimension and generalization of kernel learning
Advances in Neural Information Processing Systems, v. 15, 2003
Zhang, Tong
Generalization performance of some learning problems in hilbert functional spaces
Advances in Neural Information Processing Systems, v. 14, 2002, p. 543-550
Zhang, Tong
Statistical behavior and consistency of support vector machines, boosting, and beyond
19th International Conference on Machine Learning, ICML 2002, Sydney, Australia, 8-12 July 2002
Zhang, Tong
The consistency of greedy algorithms for classification
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), v. 2375, 2002, p. 319-333
Mannor, Shie; Meir, Ron; Zhang, Tong


Expand All Collapse All


Article 2

Rank-one approximation to high order tensors
SIAM Journal on Matrix Analysis and Applications, v. 23, (2), November 2001, p. 534-550
Zhang, Tong; Golub, Gene H.
Text Categorization Based on Regularized Linear Classification Methods
Information Retrieval, v. 4, (1), April 2001, p. 5-31
Zhang, Tong; Oles, Frank J.

Conference paper 8

A general greedy approximation algorithm with applications
Advances in Neural Information Processing Systems, v. 14, 2002
Zhang, Tong
A leave-one-out cross validation bound for kernel methods with applications in learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 2111, 2001, p. 427-443
Zhang, Tong
A sequential approximation bound for some sample-dependent convex optimization problems with applications in learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 2111, 2001, p. 65-81
Zhang, Tong
Convergence of large margin separable linear classification
Advances in Neural Information Processing Systems, v. 13, 2001
Zhang, Tong
Empirical study of recommender systems using linear classifiers
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), v. 2035, 2001, p. 16-27
Iyengar, V.S.; Zhang, Tong
Regularized winnow methods
Advances in Neural Information Processing Systems, v. 13, 2001
Zhang, Tong
Some sparse approximation bounds for regression problems
8th International Conference on Machine Learning, ICML 2001, 2001, p. 624-631
Zhang, Tong
Text chunking using regularized Winnow
roceedings of the 39th Annual Meeting on Association for Computational Linguistics, 2001, p. 539-546
Zhang, Tong; Damera, Fred; Johnson, David


Expand All Collapse All


Article 1

A Method for Reduced-Order Modeling and Simulation of Large Interconnect Circuits and its Application to PEEC Models with Retardation
IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, v. 47, (4), April 2000, p. 261-273
Cullum, J; Ruehli, A; Zhang, T.

Conference paper 3

A probability analysis on the value of unlabeled data for classification problems
7th International Conference on Machine Learning, ICML'00, Stanford, CA, USA, 29 June - 2 July 2000
Zhang, Tong; Oles, Frank J.
Active learning using adaptive resampling
Proceeding of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2000, p. 91-98
Iyengar, Vijay S.; Apte, Chidanand; Zhang, Tong
Large margin Winnow methods for text categorization
6th ACM SIGKDD international conference on Knowledge discovery and data mining, Boston, MA, USA, 20-23 August 2000
Zhang, Tong


Expand All Collapse All


Article 1

Subspace iterative methods for eigenvalue problems
Linear Algebra and Its Applications, v. 294, (1-3), June 1999, p. 239-258
Zhang, T.; Golub, G.H.; Law, K.H.

Conference paper 3

Fast, robust, and consistent camera motion estimation
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, v. 1, 1999, article number 786934, p. 164-170
Zhang, Tong; Tomasi, Carlo
Some theoretical results concerning the convergence of composition of regularizated linear functions
Proceedings of the 12th International Conference on Neural Information Processing Systems, 1999, p. 370-376
Zhang, Tong
Theoretical analysis of a class of randomized regularization methods
Proceedings of the Annual ACM Conference on Computational Learning Theory, 1999, p. 156-163
Zhang, Tong


Expand All Collapse All


Article 2

Eigenvalue perturbation and the generalized Krylov subspace method
Applied Numerical Mathematics, v. 27, (2), June 1998, p. 185-202
Zhang, T.; Golub, G.H.; Law, K.H.
On the Homotopy Method for Perturbed Symmetric Generalized Eigenvalue Problems
SIAM Journal of Scientific Computing, v. 19, (5), September 1998, p. 1625-1645
Zhang, T.; Law, K.H.; Golub, G.H.

Conference paper 3

A linear algorithm for optimal context clustering with application to bi-level image coding
Proceedings: 1998 International Conference on Image Processing, ICIP98, v. 1, 1998, article number 723301, p. 508-511
Greene, Daniel; Yao, Frances; Zhang, Tong
Compression by model combination
Data Compression Conference Proceedings, 1998, p. 319-328
Zhang, Tong
Model reduction for peec models including retardation
Proceedings of the 1998 IEEE 7th Topical Meeting on Electrical Performance of Electronic Packaging, 1998, p. 287-290
Cullurn, Jane; Ruelili, Albert E.; Zhang, Tong


Expand All Collapse All


Conference paper 2

A progressive ziv-lempel algorithm for image compression
International Conference on Compression and Complexity of Sequences Proceedings, 1998, p. 136-144
Greene, Daniel; Vishwanath, Mohan; Yao, Frances; Zhang, Tong
Progressive Ziv-Lempel Encoding of Synthetic Images
Proceedings of Data Compression Conference (DCC '97), article number 582099, p. 441-441
Greene, Daniel; Vishwanath, Mohan; Yao, Frances; Zhang, Tong


Expand All Collapse All


Conference paper 1

Optimal surface smoothing as filter design
European Conference on Computer Vision, v. 1, 1996, p. 283-292, Part of the Lecture Notes in Computer Science book series (LNCS, volume 1064)
Taubin, Gabriel; Zhang, Tong; Golub, Gene


Expand All Collapse All


Article 1

Densities of self-similar measures on the line
Experimental Mathematics, v. 4, (2), 1995, p. 101-128
Strichartz, Robert S.; Taylor, Arthur; Zhang, Tong


Expand All Collapse All


2016 9

Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization
Mathematical Programming, v. 155, (1-2), January 2016, p. 105-145
Shalev-Shwartz, Shai; Zhang, Tong Article
Towards more efficient SPSD matrix approximation and CUR matrix decomposition
Journal of Machine Learning Research, v. 17, December 2016, article number 210, p. 1-49
Wang, Shusen; Zhang, Zhihua; Zhang, Tong Article
Exact recovery of hard thresholding pursuit
Advances in Neural Information Processing Systems, v. 29, 2016, p. 3565-3573
Yuan, Xiaotong; Li, Ping; Zhang, Tong Conference paper
Learning additive exponential family graphical models via l_2,1-norm regularized M-estimation
Advances in Neural Information Processing Systems, v. 29, 2016, p. 4374-4382
Yuan, Xiao-Tong; Li, Ping; Zhang, Tong; Liu, Qingshan; Liu, Guangcan Conference paper
Sparse nonlinear regression: Parameter estimation under nonconvexity
33rd International Conference on Machine Learning, ICML 2016, v. 5, 2016, p. 3668-3677
Yang, Zhuoran; Wang, Zhaoran; Liu, Han; Eldar, Yonina C.; Zhang, Tong Conference paper
Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity
Proceedings of Machine Learning Research, v. 48, 2016, p. 2472-2481
Yang, Zhuoran; Wang, Zhaoran; Liu, Hanlong; Eldar, Yonina C.; Zhang, Tong Conference paper
Stochastic optimization with importance sampling for regularized loss minimization
Proceedings of Machine Learning Research, v. 37, 2015, p. 1-9
Zhao, Peilin; Zhang, Tong Conference paper
Supervised and semi-supervised text categorization using LSTM for region embeddings
Proceedings of Machine Learning Research, v. 48, 2016, p. 526-534
Johnson, Rie; Zhang, Tong Conference paper
Supervised and semi-supervised text categorization using LSTM for region embeddings
33rd International Conference on Machine Learning, ICML 2016, v. 2, 2016, p. 794-802
Johnson, Rie; Zhang, Tong Conference paper

2015 9

Learning sparse low-threshold linear classifiers
Journal of Machine Learning Research, v. 16, July 2015, p. 1275-1304
Sabato, Sivan; Shalev-Shwartz, Shai; Srebro, Natwhan; Hsu, Daniel; Zhang, Tong Article
Adaptive stochastic alternating direction method of multipliers
32nd International Conference on Machine Learning, ICML 2015, v. 1, 2015, p. 69-77
Zhao, Peilin; Yang, Jinwei; Zhang, Tong; Li, Ping Conference paper
Adaptive stochastic alternating direction method of multipliers
Proceedings of Machine Learning Research, v. 37, 2015, p. 69-77
Zhao, Peilin; Yang, Jinwei; Zhang, Tong; Li, Ping Conference paper
Crowd fraud detection in internet advertising
Proceedings of the 24th International Conference on World Wide Web, 2015, p. 1100-1110
Tian, Tian; Zhu, Jun; Xia, Fen; Zhuang, Xin; Zhang, Tong Conference paper
Effective use of word order for text categorization with convolutional neural networks
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2015, 2015, p. 103-112
Johnson, Rie; Zhang, Tong Conference paper
Local smoothness in variance reduced optimization
Advances in Neural Information Processing Systems, v. 28, 2015, p. 2179-2187
Vainsencher, Daniel; Liu, Han; Zhang, Tong Conference paper
Quartz: Randomized dual coordinate ascent with arbitrary sampling
Advances in Neural Information Processing Systems, 2015, p. 865-873
Qu, Zheng; Richtárik, Peter; Zhang, Tong Conference paper
Semi-supervised convolutional neural networks for text categorization via region embedding
Advances in Neural Information Processing Systems, v. 28, 2015, p. 919-927
Johnson, Rie; Zhang, Tong Conference paper
Stochastic optimization with importance sampling for regularized loss minimization
32nd International Conference on Machine Learning, ICML 2015, v. 1, 2015, p. 1-9
Zhao, Peillin; Zhang, Tong Conference paper

2014 11

A proximal stochastic gradient method with progressive variance reduction
SIAM Journal on Optimization, v. 24, (4), 2014, p. 2057-2075
Xiao, Lin; Zhang, Tong Article
Learning nonlinear functions using regularized greedy forest
IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 36, (5), 2014, p. 942-54
Johnson, Rie; Zhang, Tong Article
Optimal computational and statistical rates of convergence for sparse nonconvex learning problems
Annals of Statistics, v. 42, (6), December 2014, p. 2164-2201
Wang, Zhaoran; Liu, Han; Zhang, Tong Article
Partial Gaussian graphical model estimation
IEEE Transactions on Information Theory, v. 60, (3), March 2014, article number 6698361, p. 1673-1687
Yuan, Xiao-Tong; Zhang, Tong Article
Random Design Analysis of Ridge Regression
Foundations of Computational Mathematics, v. 14, (3), June 2014, p. 569-600
Hsu, Daniel; Kakade, Sham M.; Zhang, Tong Article
A convergence rate analysis for LogitBoost, MART and their variant
31st International Conference on Machine Learning, ICML 2014, v. 4, 2014, p. 3001-3021
Sun, Peng; Zhang, Tong; Zhou, Jie Conference paper
Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization
31st International Conference on Machine Learning, ICML 2014, v. 1, 2014, p. 111-119
Shnlev-Shwartz, Shai; Zhang, Tong Conference paper
Communication-efficient distributed optimization using an approximate Newton-type method
31st International Conference on Machine Learning, ICML 2014, v. 3, 2014, p. 2665-2681
Shamir, Ohad; Srebro, Nathan; Zhang, Tong Conference paper
Compressed counting meets compressed sensing
Proceedings of Machine Learning Research, v. 35, 2014, p. 1058-1077
Li, Ping; Zhang, Cun-Hui; Zhang, Tong Conference paper
Efficient mini-batch training for stochastic optimization
Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, 2014, p. 661-670
Li, Mu; Zhang, Tong; Chen, Yuqiang; Smola, A.J. Conference paper
Gradient hard thresholding pursuit for sparsity-constrained optimization
31st International Conference on Machine Learning, ICML 2014, v. 2, 2014, p. 1322-1330
Yuan, Xiaotong; Li, Ping; Zhang, Tong Conference paper

2013 9

A Joint Matrix Completion and Filtering Model for Influenza Serological Data Integration
PLoS ONE, v. 8, (7), July 2013, article number e69842, p. 1-12
Yuan, Xiao-Tong; Zhang, Tong; Wan, Xiu-Feng Article
A proximal-gradient homotopy method for the sparse least-squares problem
SIAM Journal on Optimization, v. 23, (2), 2013, p. 1062-1091
Xiao, Lin; Zhang, Tong Article
Multi-stage convex relaxation for feature selection
Bernoulli, v. 19, (5B), November 2013, p. 2277-2293
Zhang, Tong Article
Stochastic Dual Coordinate Ascent methods for regularized loss minimization
Journal of Machine Learning Research, v. 14, (1), February 2013, p. 567-599
Shalev-Shwartz, Shai; Zhang, Tong Article
Truncated power method for sparse eigenvalue problems
Journal of Machine Learning Research, v. 14, (1), 2013, p. 899-925
Yuan, Xiao-Tong; Zhang, Tong Article
Accelerated mini-batch stochastic dual coordinate ascent
Advances in Neural Information Processing Systems, v. 26, 2013, p. 1-8
Shalev-Shwartz, Shai; Zhang, Tong Conference paper
Accelerating stochastic gradient descent using predictive variance reduction
Advances in Neural Information Processing Systems, v. 26, 2013, p. 1-9
Johnson, Rie; Zhang, Tong Conference paper
High-dimensional joint sparsity random effects model for multi-task learning
Proceedings of the 29th Conference Uncertainty in Artificial Intelligence, UAI 2013, 5013, p. 42-51
Balasubramanian, K.; Yu, K.; Zhang, T. Conference paper
Stochastic gradient descent for non-smooth optimization: Convergence results and optimal averaging schemes
30th International Conference on Machine Learning, ICML 2013, (Part 1), 2013, p. 71-79
Shamir, Ohad; Zhang, Tong Conference paper

2012 9

A General theory of concave regularization for high-dimensional sparse estimation problems
Statistical Science, v. 27, (4), November 2012, p. 576-593
Zhang, Cun-Hui; Zhang, T. Article
A spectral algorithm for learning Hidden Markov Models
Journal of Computer and System Sciences, v. 78, (5), September 2012, p. 1460-1480
Hsu, Daniel; Kakade, Sham M.; Zhang, Tong Article
A tail inequality for quadratic forms of subgaussian random vectors
Electronic Communications in Probability, v. 17, November 2012, article number 52, p. 1-6
Hsu, Daniel; Kakade, Sham M.; Zhang, Tong Article
Deviation optimal learning using greedy q-aggregation
Annals of Statistics, v. 40, (3), June 2012, p. 1878-1905
Dai, Dong; Rigollet, Philippe; Zhang, Tong Article
Identifying antigenicity-associated sites in highly pathogenic H5N1 influenza virus hemagglutinin by using sparse learning
Journal of Molecular Biology, v. 422, (1), September 2012, p. 145-155
Cai, Zhipeng; Ducatez, Mariette F.; Yang, Jialiang; Zhang, Tong; Long, Li-Ping; Boon, Adrianus C; Webby, Richard J.; Wan, Xiu-Feng Article
Tail inequalities for sums of random matrices that depend on the intrinsic dimension
Electronic Communications in Probability, v. 17, March 2012, article number 14, p. 1-13
Hsu, Daniel; Kakadey, Sham M.; Zhang, Tong Article
A proximal-gradient homotopy method for the ? 1-regularized least-squares problem
Proceedings of the 29th International Conference on Machine Learning, ICML 2012, v. 1, 2012, p. 839-846
Xiao, Lin; Zhang, Tong Conference paper
Random design analysis of ridge regression
Proceedings of Machine Learning Research, v. 23, 2012, p. 9.1-9.24
Hsu, Daniel; Kakade, Sham M.; Zhang, Tong Conference paper
Selective labeling via error bound minimization
Advances in Neural Information Processing Systems, v. 25, (1), 2012, p. 323-331
Gu, Quanquan; Zhang, Tong; Ding, Chris; Han, Jiawei Conference paper

2011 10

Adaptive forward-backward greedy algorithm for learning sparse representations
IEEE Transactions on Information Theory, v. 57, (7), July 2011, article number 5895111, p. 4689-4708
Zhang, Tong Article
Concepts and applications for influenza antigenic cartography
Influenza and other respiratory viruses, v. 5 Suppl 1, May 2011, p. 204-207
Cai, Zhipeng; Zhang, Tong; Wan, Xiu-Feng Article
Integrative analysis of many weighted Co-Expression networks using tensor computation
PLoS Computational Biology, v. 7, (6), June 2011, article number e1001106
Li, Wenyuan; Liu, Chun-Chi; Zhang, Tong; Li, Haifeng; Waterman, Michael S.; Zhou, Xianghong Jasmine Article
Learning with structured sparsity
Journal of Machine Learning Research, v. 12, November 2011, article number 103, p. 3371-3412
Huang, Junzhou; Zhang, Tong; Metaxas, Dimitris Article
Robust matrix decomposition with sparse corruptions
IEEE Transactions on Information Theory, v. 57, (11), November 2011, article number 5934412, p. 7221-7234
Hsu, Daniel; Kakade, Sham M.; Zhang, Tong Article
Sparse recovery with orthogonal matching pursuit under RIP
IEEE Transactions on Information Theory, v. 57, (9), 2011, article number 6006641, p. 6245-6221
Zhang, Tong Article
Efficient optimal learning for contextual bandits
Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence, UAI 2011, 2011, p. 169-178
Dudik, M.; Hsu, D.; Kale, S.; Karampatziakis, N.; Langford, J.; Reyzin, L.; Zhang, T. Conference paper
Greedy model averaging
Advances in Neural Information Processing Systems, v. 24, 2011, p. 1-9
Dai, Dong; Zhang, Tong Conference paper
Learning to search efficiently in high dimensions
Advances in Neural Information Processing Systems, v. 24, 2011, p. 1-9
Li, Zhen; Ning, Huazhong; Cao, Liangliang; Zhang, Tong; Gong, Yihong; Huang, Thomas S. Conference paper
Spectral methods for learning multivariate latent tree structure
Advances in Neural Information Processing Systems, v. 24, 2011, p. 1-9
Anandkumar, Animashree; Chaudhuri, Kamalika; Hsu, Daniel; Kakade, Sham M.; Song, Le; Zhang, Tong Conference paper

2010 9

A computational framework for influenza antigenic cartography
PLoS Computational Biology, v. 6, (10), October 2010, article number 1000949
Cai, Zhipeng; Zhang, Tong; Wan, Xiu-Feng Article
Analysis of multi-stage convex relaxation for sparse regularization
Journal of Machine Learning Research, v. 11, March 2010, p. 1081-1107
Zhang, Tong Article
The benefit of group sparsity
Annals of Statistics, v. 38, (4), August 2010, p. 1978-2004
Huang, Junzhou; Zhang, T. Article
Trading accuracy for sparsity in optimization problems with sparsity constraints
SIAM Journal on Optimization, v. 20, (6), 2010, p. 2807-2832
Shalev-Shwartz, Shai; Srebro, Nathan; Zhang, Tong Article
Fundamental statistical techniques
Handbook of Natural Language Processing / Nitin Indurkhya, Fred J. Damerau. Boca Raton, London, Now York : CRC Press, 2010, p. 189-204, Ch. 9. Second Edition. Book Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition Series.
Zhang, Tong Book chapter
Agnostic active learning without constraints
Advances in Neural Information Processing Systems, v. 23, 2010, p. 1-9
Beygelzimer, Alina; Hsu, Daniel; Langford, John; Zhang, Tong Conference paper
Deep coding network
Advances in Neural Information Processing Systems, v. 23, 2010, p. 1-9
Lin, Yuanqing; Zhang, Tong; Zhu, Shenghuo; Yu, Kai Conference paper
Image classification using supervector coding of local image descriptors
Lecture Notes in Computer Science, v. 6315 LNCS, (5), 2010, p. 141-154, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Zhou, Xi; Yu, Kai; Zhang, Tong; Huang, Thomas S. Conference paper
Improved local coordinate coding using local tangents
Proceedings of the 27th International Conference on Machine Learning, ICML 2010, 2010, p. 1215-1222
Yu, K.; Zhang, Tong Conference paper

2009 9

Classifying search quries using the web as a source of knowledge.
ACM Transactions on the Web, v. 3, (2), April 2009, article number 5
Gabrilovich, Evgeniy; Broder, Andrei; Fontoura, Marcus; Joshi, Amruta; Josifovski, Vanja; Riedel, Lance; Zhang, Tong Article
On the consistency of feature selection using greedy least squares regression
Journal of Machine Learning Research, v. 10, January 2009, p. 555-568
Zhang, Tong Article
Some sharp performance bounds for least squares regression with L₁ regularization
Annals of Statistics, v. 37, (5A), 2009, p. 2109-2144
Zhang, T. Article
Sparse Online Learning via Truncated Gradient
Journal of Machine Learning Research, v. 10, January 2009, p. 777-801
Langford, John; Li, Lihong; Zhang, Tong Article
A spectral algorithm for learning hidden Markov models
Conference on Learning Theory (COLT) Proceedings, 2009
Hsu, Daniel; Kakade, Sham M.; Zhang, Tong Conference paper
Learning nonlinear dynamic models
Proceedings of the 26th International Conference On Machine Learning, ICML 2009, 2009, p. 593-600
Langford, J.; Salakhutdinov, R.; Zhang, T. Conference paper
Learning with structured sparsity
ACM International Conference Proceeding Series, v. 382, 2009, article number 52, p. 417-424
Huang, Junzhou; Zhang, Tong; Metaxas, Dimitris Conference paper
Multi-label prediction via compressed sensing
Advances in Neural Information Processing Systems, v. 22, 2009, p. 772-780
Hsu, D.; Kakade, S.M.; Langford, J.; Zhang, T. Conference paper
Nonlinear learning using local coordinate coding
Advances in Neural Information Processing Systems, v. 22, 2009, p. 2223-2231
Yu, K.; Zhang, T.; Gong, Y. Conference paper

2008 6

An online relevant set algorithm for statistical machine translation
IEEE Transactions on Audio, Speech and Language Processing, v. 16, (7), September 2008, p. 1274-1286
Tillmann, Christoph; Zhang, Tong Article
Graph-based semi-supervised learning and spectral kernel design
IEEE Transactions on Information Theory, v. 54, (1), January 2008, p. 275-288
Johnson, Ric; Zhang, Tong Article
Statistical analysis of Bayes optimal subset ranking
IEEE Transactions on Information Theory, v. 54, (11), 2008, p. 5140-5154
Cossock, David; Zhang, Tong Article
Adaptive forward-backward greedy algorithm for sparse learning with linear models
Advances in Neural Information Processing Systems, v. 21, 2009, p. 1921-1928
Zhang, Tong Conference paper
Multi-stage convex relaxation for learning with sparse regularization
Advances in Neural Information Processing Systems, v. 21, 2009, p. 1929-1936
Zhang, Tong Conference paper
Sparse online learning via truncated gradient
Advances in Neural Information Processing Systems, v. 21, 2008, p. 905-912
Langford, J.; Li, L.; Zhang, T. Conference paper

2007 7

A block bigram prediction model for statistical machine translation
ACM Transactions on Speech and Language Processing, v. 4, (3), July 2007, article number 1255172
Tillmann, Christoph; Zhang, Tong Article
On the effectiveness of Laplacian normalization for graph semi-supervised learning
Journal of Machine Learning Research, v. 8, July 2007, p. 1489-1517
Johnson, Rie; Zhang, Tong Article
A general boosting method and its application to learning ranking functions for Web search
Advances in Neural Information Processing Systems, v. 20, 2009, p. 1-8
Zheng, Z.; Zha, H.; Zhang, T.; Chapelle, O.; Chen, K.; Sun, G. Conference paper
Epoch-Greedy algorithm for multi-armed bandits with side information
Advances in Neural Information Processing Systems (NIPS 2007), v. 20, 2007, p. 1-8
Langford, John; Zhang, Tong Conference paper
Margin based active learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 4539 LNAI, 2007, p. 35-50
Balcan, Maria-Florina; Broder, Andrei; Zhang, Tong Conference paper
Robust classification of rare queries using web knowledge
Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07, 2007, p. 231-238
Broder, Andrei Z.; Fontoura, Marcus; Gabrilovich, Evgeniy; Joshi, Amruta; Josifovski, Vanja; Zhang, Tong Conference paper
Two-view feature generation model for semi-supervised learning
ACM International Conference Proceeding Series, v. 227, 2007, p. 25-32
Ando, Rie Kubota; Zhang, Tong Conference paper

2006 6

From ε-entropy to KL-entropy: Analysis of minimum information complexity density estimation
Annals of Statistics, v. 34, (5), October 2006, p. 2180-2210
Zhang, Tong Article
Information theoretical upper and lower bounds for statistical estimation
IEEE Transactions on Information Theory, v. 52, (4), April 2006, p. 1307-1321
Zhang, T. Article
A discriminative global training algorithm for statistical MT
Proceedings of 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics (COLING/ACL 2006), v. 1, 2006, p. 721-728
Tillmann, Christoph; Zhang, Tong Conference paper
Learning on graph with Laplacian regularization
Advances in Neural Information Processing Systems, v. 19, 2007, p. 25-32
Ando, Rie K.; Zhang, Tong Conference paper
Linear prediction models with graph regularization for Web-page categorization
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, v. 2006, 2006, p. 821-826
Zhang, Tong; Popescul, Alexandrin; Dom, Byron Conference paper
Subset ranking using regression
Lecture Notes in Computer Science, v. 4005 LNAI, 2006, p. 605-619, including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
Cossock, David; Zhang, Tong Conference paper

2005 10

A framework for learning predictive structures from multiple tasks and unlabeled data
Journal of Machine Learning Research, v. 6, November 2005, p. 1817-1853
Ando, Rie Kubota; Zhang, Tong Article
Boosting with early stopping: Convergence and consistency
Annals of Statistics, v. 33, (4), August 2005, p. 1538-1579
Zhang, Tong; Yu, Bin Article
Learning bounds for kernel regression using effective data dimensionality
Neural Computation, v. 17, (9), September 2005, p. 2077-2098
Zhang, Tong Article
Text mining: Predictive methods for analyzing unstructured information
Text Mining: Predictive Methods for Analyzing Unstructured Information / 2005, p. 1-237
Weiss, S.M.; Indurkhya, N.; Zhang, Tong; Damerau, F.J. Book
A high-performance semi-supervised learning method for text chunking
Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL-05), 2005, p. 1-9
Ando, Rie Kubota; Zhang, Tong Conference paper
A localized prediction model for statistical machine translation
Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL-05), 2005, p. 557-564
Tillmann, C.; Zhang, Tong Conference paper
Analysis of spectral kernel design based semi-supervised learning
Advances in Neural Information Processing Systems, 2005, p. 1601-1608
Zhang, Tong; Ando, Rie K. Conference paper
Data dependent concentration bounds for sequential prediction algorithms
Lecture Notes in Computer Science, v. 3559 LNAI, 2005, p. 173-187, (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Zhang, Tong Conference paper
Localized upper and lower bounds for some estimation problems
Lecture Notes in Computer Science, v. 3559 LNAI, 2005, p. 516-530, (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Zhang, Tong Conference paper
TREC 2005 genomics track experiments at IBM watson
NIST Special Publication, 2005, p. 1-10
Ando, Rie Kubota; Dredze, Mark; Zhang, Tong Conference paper

2004 14

Greedy algorithms for classification - Consistency, convergence rates, and adaptivity
Journal of Machine Learning Research, v. 4, (4), May 2004, p. 713-742
Mannor, Shie; Meir, Ron; Zhang, Tong Article
Statistical analysis of some multi-category large margin classification methods
Journal of Machine Learning Research, v. 5, October 2004, p. 1225-1251
Zhang, Tong Article
Statistical behavior and consistency of classification methods based on convex risk minimization
Annals of Statistics, v. 32, (1), February 2004, p. 56-85
Zhang, Tong Article
Text categorization for a comprehensive time-dependent benchmark
Information Processing and Management, v. 40, (2), March 2004, p. 209-221
Damerau, Fred J.; Zhang, Tong; Weiss, Sholom M.; Indurkhya, Nitin Article
An evaluation of over-the-counter medication sales for syndromic surveillance
In ICDM 2004 Workshop on Life Sciences Data Mining
Campbell, Murray S.; Li, Chung-Sheng; Aggarwal, Charu; Naphade, Milind R.; Wu, Kun-Lung; Zhang, Tong Conference paper
An infinity-sample theory for multi-category large margin classification
Advances in Neural Information Processing Systems, v. 16, 2004
Zhang, Tong Conference paper
Class-size independent generalization analsysis of some discriminative multi-category classification methods
Advances in Neural Information Processing Systems, v. 17, 2005, p. 13-16
Zhang, Tong Conference paper
Column-generation boosting methods for mixture of kernels
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD-2004, 2004, p. 521-526
Bi, Jinbo; Zhang, Tong; Bennett, K.P. Conference paper
Focused named entity recognition using machine learning
Proceedings of Sheffield SIGIR Twenty-Seventh Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004, p. 281-288
Zhang, Li; Pan, Yue; Zhang, Tong Conference paper
Generalization error bounds for Bayesian mixture algorithms
Journal of Machine Learning Research, v. 4, (5), July 2004, p. 839-860
Meir, R.; Zhang, Tong Conference paper
Learning bounds for a generalized family of Bayesian posterior distributions
Advances in Neural Information Processing Systems, v. 16, 2004, p. 1149-1156
Zhang, Tong Conference paper
On the convergence of MDL density estimation
Lecture Notes in Artificial Intelligence, v. 3120, 2004, p. 315-330, (Subseries of Lecture Notes in Computer Science)
Zhang, Tong Conference paper
Solving large scale linear prediction problems using stochastic gradient descent algorithms
21st International Conference on Machine Learning, ICML 2004, 2004, p. 919-926
Zhang, Tong Conference paper
Support vector classification with input data uncertainty
Advances in Neural Information Processing Systems, v. 17, 2005
Bi, Jinbo; Zhang, Tong Conference paper

2003 9

Leave-one-out bounds for kernel methods
Neural Computation, v. 15, (6), 2003, p. 1397-1437
Zhang, Tong Article
Sequential greedy approximation for certain convex optimization problems
IEEE Transactions on Information Theory, v. 49, (3), March 2003, p. 682-691
Zhang, Tong Article
Performance analysis and evaluation
The Handbook of Data Mining /Edited by Nong Ye. Mahwah, New Jersey; London : LAWRENCE ERLBAUM ASSOCIATES, 2003, p. 425-440, Ch. 17. Series: Human Factors and Ergonomics.
Weiss, Sholom M.; Zhang, Tong Book chapter
A robust risk minimization based named entity recognition system
Proceedings of the seventh conference on Natural language learning, CONLL 2003, v. 4, 2003, p. 204-207
Zhang, Tong; Johnson, David Conference paper
Data-dependent bounds for Bayesian mixture methods
Advances in Neural Information Processing Systems, v. 15, 2003
Meir, Ron; Zhang, Tong Conference paper
Howtogetachinesename (entity): Segmentation and combination issues.
Proceedings of the 2003 conference on Empirical methods in natural language processing, 2003, p. 200-207
Jing, Hongyan; Florian, Radu; Luo, Xiaoqiang; Zhang, Tong; Abraham Ittycheriah Conference paper
Named entity recogintion through classifier combination
Proceedings of the seventh conference on Natural language learning, CONLL 2003, v. 4, 2003, p. 168-171
Florian, Radu; Ittycheriah, Abe; Jing, Hongyan; Zhang, Tong Conference paper
On the Convergence of Boosting Procedures
Proceedings of Twentieth International Conference on Machine Learning, v. 2, 2003, p. 904-911
Zhang, Tong; Yu, Bin Conference paper
Updating an nlp system to fit new domains: an empirical study on the sentence segmentation problem
Proceedings of the seventh conference on Natural language learning, CONLL 2003, v. 4, 2003, p. 56-62
Zhang, Tong; Damerau, Fred; Johnson, David Conference paper

2002 12

A decision-tree-based symbolic rule induction system for text categorization
IBM Systems Journal, v. 41, (3), 2002, p. 428-437
Johnson, D.E.; Oles, F.J.; Zhang, Tong; Goetz, T. Article
Approximation bounds for some sparse kernel regression algorithms
Neural Computation, v. 14, (12), December 2002, p. 3013-3042
Zhang, Tong Article
Covering Number Bounds of Certain Regularized Linear Function Classes
Journal of Machine Learning Research, v. 2, (3), 2002, p. 527-550
Zhang, Tong Article
On the consistency of instantaneous rigid motion estimation
International Journal of Computer Vision, v. 46, (1), 2002, article number 390064, p. 51-79
Zhang, Tong; Tomasi, Carlo Article
On the dual formulation of regularized linear systems
Machine Learning, v. 46, (1-3), January 2002, p. 91-129
Zhang, Tong Article
Recommender Systems Using Linear Classifiers
Journal of Machine Learning Research, v. 2, (3), 2002, p. 313-334
Zhang, Tong; Iyengar, Vijay S. Article
Text Chunking based on a Generalization of Winnow
Journal of Machine Learning Research, v. 2, (4), 2002, p. 615-638
Zhang, Tong; Damerau, Fred; Johnson, David Article
Two-Sided Arnoldi and Nonsymmetric Lanczos Algorithms
SIAM Journal on Matrix Analysis and Applications, v. 24, (2), December 2002, p. 303-319
Cullum, Jane; Zhang, Tong Article
Effective dimension and generalization of kernel learning
Advances in Neural Information Processing Systems, v. 15, 2003
Zhang, Tong Conference paper
Generalization performance of some learning problems in hilbert functional spaces
Advances in Neural Information Processing Systems, v. 14, 2002, p. 543-550
Zhang, Tong Conference paper
Statistical behavior and consistency of support vector machines, boosting, and beyond
19th International Conference on Machine Learning, ICML 2002, Sydney, Australia, 8-12 July 2002
Zhang, Tong Conference paper
The consistency of greedy algorithms for classification
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), v. 2375, 2002, p. 319-333
Mannor, Shie; Meir, Ron; Zhang, Tong Conference paper

2001 10

Rank-one approximation to high order tensors
SIAM Journal on Matrix Analysis and Applications, v. 23, (2), November 2001, p. 534-550
Zhang, Tong; Golub, Gene H. Article
Text Categorization Based on Regularized Linear Classification Methods
Information Retrieval, v. 4, (1), April 2001, p. 5-31
Zhang, Tong; Oles, Frank J. Article
A general greedy approximation algorithm with applications
Advances in Neural Information Processing Systems, v. 14, 2002
Zhang, Tong Conference paper
A leave-one-out cross validation bound for kernel methods with applications in learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 2111, 2001, p. 427-443
Zhang, Tong Conference paper
A sequential approximation bound for some sample-dependent convex optimization problems with applications in learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 2111, 2001, p. 65-81
Zhang, Tong Conference paper
Convergence of large margin separable linear classification
Advances in Neural Information Processing Systems, v. 13, 2001
Zhang, Tong Conference paper
Empirical study of recommender systems using linear classifiers
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), v. 2035, 2001, p. 16-27
Iyengar, V.S.; Zhang, Tong Conference paper
Regularized winnow methods
Advances in Neural Information Processing Systems, v. 13, 2001
Zhang, Tong Conference paper
Some sparse approximation bounds for regression problems
8th International Conference on Machine Learning, ICML 2001, 2001, p. 624-631
Zhang, Tong Conference paper
Text chunking using regularized Winnow
roceedings of the 39th Annual Meeting on Association for Computational Linguistics, 2001, p. 539-546
Zhang, Tong; Damera, Fred; Johnson, David Conference paper

2000 4

A Method for Reduced-Order Modeling and Simulation of Large Interconnect Circuits and its Application to PEEC Models with Retardation
IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, v. 47, (4), April 2000, p. 261-273
Cullum, J; Ruehli, A; Zhang, T. Article
A probability analysis on the value of unlabeled data for classification problems
7th International Conference on Machine Learning, ICML'00, Stanford, CA, USA, 29 June - 2 July 2000
Zhang, Tong; Oles, Frank J. Conference paper
Active learning using adaptive resampling
Proceeding of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2000, p. 91-98
Iyengar, Vijay S.; Apte, Chidanand; Zhang, Tong Conference paper
Large margin Winnow methods for text categorization
6th ACM SIGKDD international conference on Knowledge discovery and data mining, Boston, MA, USA, 20-23 August 2000
Zhang, Tong Conference paper

1999 4

Subspace iterative methods for eigenvalue problems
Linear Algebra and Its Applications, v. 294, (1-3), June 1999, p. 239-258
Zhang, T.; Golub, G.H.; Law, K.H. Article
Fast, robust, and consistent camera motion estimation
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, v. 1, 1999, article number 786934, p. 164-170
Zhang, Tong; Tomasi, Carlo Conference paper
Some theoretical results concerning the convergence of composition of regularizated linear functions
Proceedings of the 12th International Conference on Neural Information Processing Systems, 1999, p. 370-376
Zhang, Tong Conference paper
Theoretical analysis of a class of randomized regularization methods
Proceedings of the Annual ACM Conference on Computational Learning Theory, 1999, p. 156-163
Zhang, Tong Conference paper

1998 5

Eigenvalue perturbation and the generalized Krylov subspace method
Applied Numerical Mathematics, v. 27, (2), June 1998, p. 185-202
Zhang, T.; Golub, G.H.; Law, K.H. Article
On the Homotopy Method for Perturbed Symmetric Generalized Eigenvalue Problems
SIAM Journal of Scientific Computing, v. 19, (5), September 1998, p. 1625-1645
Zhang, T.; Law, K.H.; Golub, G.H. Article
A linear algorithm for optimal context clustering with application to bi-level image coding
Proceedings: 1998 International Conference on Image Processing, ICIP98, v. 1, 1998, article number 723301, p. 508-511
Greene, Daniel; Yao, Frances; Zhang, Tong Conference paper
Compression by model combination
Data Compression Conference Proceedings, 1998, p. 319-328
Zhang, Tong Conference paper
Model reduction for peec models including retardation
Proceedings of the 1998 IEEE 7th Topical Meeting on Electrical Performance of Electronic Packaging, 1998, p. 287-290
Cullurn, Jane; Ruelili, Albert E.; Zhang, Tong Conference paper

1997 2

A progressive ziv-lempel algorithm for image compression
International Conference on Compression and Complexity of Sequences Proceedings, 1998, p. 136-144
Greene, Daniel; Vishwanath, Mohan; Yao, Frances; Zhang, Tong Conference paper
Progressive Ziv-Lempel Encoding of Synthetic Images
Proceedings of Data Compression Conference (DCC '97), article number 582099, p. 441-441
Greene, Daniel; Vishwanath, Mohan; Yao, Frances; Zhang, Tong Conference paper

1996 1

Optimal surface smoothing as filter design
European Conference on Computer Vision, v. 1, 1996, p. 283-292, Part of the Lecture Notes in Computer Science book series (LNCS, volume 1064)
Taubin, Gabriel; Zhang, Tong; Golub, Gene Conference paper

1995 1

Densities of self-similar measures on the line
Experimental Mathematics, v. 4, (2), 1995, p. 101-128
Strichartz, Robert S.; Taylor, Arthur; Zhang, Tong Article


No Publications






Teaching Assignment

---

2021-22 Winter 0 2021-22 Fall 2 2020-21 Summer 2 2020-21 Spring 2 2020-21 Winter 0 2020-21 Fall 3

---

UROP1100E Undergraduate Research Opportunities Series 1
UROP2100E Undergraduate Research Opportunities Series 2


UROP1100D Undergraduate Research Opportunities Series 1
UROP2100D Undergraduate Research Opportunities Series 2


COMP4981H Final Year Thesis
SCIE1500 Guided Study on Research I


COMP4981H Final Year Thesis
COMP6211F Mathematical Analysis of Machine Learning Algorithms
MATH6450H Mathematical Analysis of Machine Learning Algorithms


No Teaching Assignments


No Teaching Assignments






Research Postgraduate (RPG) Supervision From January 2019 to December 2022 (As of 30 January 2022)

---

All Supervisions Current RPGs Graduated RPGs

---

Current RPGs

---

Doctor of Philosophy DIAO, Shizhe
Computer Science and Engineering( 2021 - )

HUANG, Xunpeng (co-supervision)
Artificial Intelligence( 2021 - )

PI, Renjie
Computer Science and Engineering( 2021 - )

SU, Ying (co-supervision)
Artificial Intelligence( 2021 - )

XIONG, Wei
Mathematics( 2021 - )

YE, Chenlu (co-supervision)
Artificial Intelligence( 2021 - )

ZHANG, Jipeng
Computer Science and Engineering( 2021 - )

ZHU, Yiming (co-supervision)
Artificial Intelligence( 2021 - )

LIN, Yong
Computer Science and Engineering( 2020 - )

PAN, Rui
Computer Science and Engineering( 2020 - )

REN, Xiaozhe (co-supervision)
Computer Science and Engineering( 2020 - )

SHEN, Xinwei
Mathematics( 2020 - )

XU, Ruijia
Computer Science and Engineering( 2020 - )

YAO, Lewei (co-supervision)
Computer Science and Engineering( 2020 - )

DONG, Hanze
Mathematics( 2019 - )

LIAN, Qing
Computer Science and Engineering( 2019 - )

ZHANG, Jingwei
Computer Science and Engineering( 2019 - )

ZHOU, Xiao
Computer Science and Engineering( 2019 - )

HUANG, Zhichao
Mathematics( 2018 - )

---

Master of Philosophy PAAT, Helbert
Computer Science and Engineering( 2021 - )

YIU, Wai Keung Binnie
Computer Science and Engineering( 2020 - )

---

Graduated RPGs

---

Master of Philosophy DIAO, Shizhe
Computer Science and Engineering( Completed in 2021 )

DING, Yuhui
Computer Science and Engineering( Completed in 2021 )

HUANG, Yaowei
Computer Science and Engineering( Completed in 2021 )









ProjectsFrom January 2020 to December 2022

---

All Projects 3 Leading Projects 2 Participating Projects 1

---

Artificial Intelligence Methods for Early Diagnosis of Pancreatic Cancer in CT Imaging


基於CT影像的胰腺癌早期診斷人工智能方法研究 Participating


National Natural Science Foundation of China / Research Grants Council Joint Research Scheme


Project Team (HKUST)
CHENG Tim Kwang-Ting (Lead)
ZHANG Tong


2021 -




Financial Trading Powered by Artificial Intelligence


人工智能在金融交易的應用 Leading


Innovation and Technology Fund


Project Team (HKUST)
ZHANG Tong (Lead)
CHEN Kani


2020 -




Theory of Deep Neural Networks


神經網絡理論 Leading


RGC - General Research Fund


Project Team (HKUST)
ZHANG Tong (Lead)


2020 -