上海交通大学计算机科学与工程系导师教师师资介绍简介 -Weinan ZHANG

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Weinan ZHANG

Associate Professor

John Hopcroft Center for Computer Science
Department of Computer Science & Engineering
Shanghai Jiao Tong University

307 Yifu Building, 800 Dongchuan Road
Shanghai, 200240, China

Email: wnzhang [AT] sjtu.edu.cn

Weinan Zhang is now a tenure-track associate professor at Shanghai Jiao Tong University. His research interests include (multi-agent) reinforcement learning, deep learning and data science with various real-world applications of recommender systems, search engines, text mining & generation, knowledge graphs, game AI etc. He has published over 80 research papers on international conferences and journals and has been serving as a (senior) PC member at ICML, NeurIPS, ICLR, KDD, AAAI, IJCAI, SIGIR etc. and a reviewer at JMLR, TOIS, TKDE, TIST etc. He was granted as Top-20 Rising Stars in 2016 by Microsoft Research, Best Paper Honorable Mention Award in SIGIR 2017, ACM Shanghai Rising Star Award 2017, Alibaba DAMO Young Scholar Award 2018 and the Best Paper Award in DLP-KDD Workshop 2019.

Weinan earned his Ph.D. from University College London in 2016 and B.Eng. from ACM Class of Shanghai Jiao Tong University in 2011. He was an intern at Microsoft Research, Google and DERI.

Prospective Ph.D. students: I am looking for outstanding and highly motivated Ph.D. students to work together on multi-agent reinforcement learning, model-based reinforcement learning, graph deep learning and various data mining topics. Please email me with your CV and transcripts.

Notices:

Partipate our challenge on mobility intervention for epidemics held in conjunction with our KDD'20 workshop!
Our SIGIR 2020 workshop on deep reinforcement learning for information retrieval (DRL4IR) now calls for papers.
Our KDD 2020 workshop on deep learning practice for high-dimensional sparse data (DLP-KDD) now calls for papers.
I am co-organizing Distributed AI Conference (DAI 2020). Submissions are welcome!

Teaching

link	CS420: Machine Learning ACM Class, Zhiyuan College, Shanghai Jiao Tong University 2017-2020

link	CS492 Reinforcement Learning ACM Class, Zhiyuan College, Shanghai Jiao Tong University 2020

link	EE448: Big Data Mining SEIEE, Shanghai Jiao Tong University 2018-2020

Books/Monographs

link	Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting Jun Wang, Weinan Zhang, Shuai Yuan Now Publisher, Volume 11, Issue 4-5, 2017

Tutorials

link	Muti-Agent Reinforcement Learning Jun Wang, Weinan Zhang SJTU 2-day tutorial, Oct. 2018.

link	Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances Weinan Zhang SIGIR 3-hour tutorial, Jul. 2018.

link	Learning, Prediction and Optimisation in RTB Display Advertising Weinan Zhang, Jian Xu CIKM, Oct. 2016.

pdf	Real-Time Bidding based Display Advertising: Mechanisms and Algorithms Jun Wang, Shuai Yuan, Weinan Zhang ECIR, Mar. 2016.

link	Paper Collection of Real-Time Bidding Weinan Zhang Github 2015.

Featured Open Source Projects

link	SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang et al. CoRL 2020

link	CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li Demo in WWW 2019

link	MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence Lianmin Zheng, Jiacheng Yang, Han Cai, Weinan Zhang, Jun Wang, Yong Yu Demos in NIPS 2017 & AAAI 2018.

link	Texygen: A Benchmarking Platform for Text Generation Models Yaoming Zhu, Sidi Lu, Lei Zheng, Jiaxian Guo, Weinan Zhang, Jun Wang, Yong Yu SIGIR 2018.

link	SVDFeature: A Toolkit for Feature-based Collaborative Filtering Tianqi Chen, Weinan Zhang, Qiuxia Lu, Kailong Chen, Zhao Zheng, Yong Yu JMLR 2013.

Paper Publications [Google Scholar ]

pdf	SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang et al. CoRL 2020 (Best System Paper Award)

pdf	Model-based Policy Optimization with Unsupervised Model Adaptation Jian Shen, Han Zhao, Weinan Zhang, Yong Yu NeurIPS 2020.

pdf	Efficient Projection-free Algorithms for Saddle Point Problems Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu NeurIPS 2020.

pdf	Bidirectional Model-based Policy Optimization Hang Lai, Jian Shen, Weinan Zhang, Yong Yu ICML 2020.

pdf	Multi-Agent Determinantal Q-Learning Yaodong Yang, Ying Wen, Jun Wang, Liheng Chen, Kun Shao, David Mguni, Weinan Zhang ICML 2020.

pdf	GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning Huichu Zhang, Chang Liu, Weinan Zhang, Guanjie Zheng, Yong Yu CIKM 2020.

pdf	U-rank: Utility-oriented Learning to Rank with Implicit Feedback Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu CIKM 2020.

pdf	Learning to Infer User Hidden States for Online Sequential Advertising Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai CIKM 2020.

pdf	An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alex Smola KDD 2020.

pdf	AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhengguo Li, Yong Yu KDD 2020.

pdf	Spatio-Temporal Meta Learning for Urban Traffic Prediction Zheyi Pan, Wentao Zhang, Yuxuan Liang, Weinan Zhang, Yong Yu, Junbo Zhang, and Yu Zheng TKDE 2020.

pdf	State Representation Modeling for Deep Reinforcement Learning based Recommendation Feng Liu, Ruiming Tang, Xutao Li, Weinan Zhang, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang, Xiuqiang He Knowledge-Based Systems 2020.

pdf	User Behavior Retrieval for Click-Through Rate Prediction Jiarui Qin, Weinan Zhang, Xin Wu, Jiarui Jin, Yuchen Fang and Yong Yu SIGIR 2020.

pdf	Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He and Yong Yu SIGIR 2020.

pdf	A Deep Recurrent Survival Model for Unbiased Ranking Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu and Kun Gai SIGIR 2020.

pdf	DropNAS: Grouped Operation Dropout for Differentiable Architecture Search Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu IJCAI 2020.

pdf	Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder Li'ang Yin, Yunfei Liu, Weinan Zhang, Yong Yu IJCAI 2020.

pdf	Efficient and Robust High-Dimensional Linear Contextual Bandits Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu, Yijiang Lian IJCAI 2020.

pdf	GIKT: A Graph-based Interaction Model for Knowledge Tracing Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Weinan Zhang and Yong Yu ECMLPKDD 2020.

pdf	Multi-Agent Interactions Modeling with Correlated Policies Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu ICLR 2020.

pdf	GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang ICLR 2020.

pdf	Bi-level Actor-Critic for Multi-agent Coordination Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang AAAI 2020.

pdf	Towards Making the Most of BERT in Neural Machine Translation Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Yong Yu, Weinan Zhang, Lei Li AAAI 2020.

pdf	Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning Haiwen Wang, Ruijie Wang, Chuan Wen, Shuhao Li, Yuting Jia, Weinan Zhang, Xinbing Wang AAAI 2020.

pdf	Learning Graph Representation with Generative Adversarial Nets Hongwei Wang, Jialin Wang, Jia Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Wenjie Li, Xing Xie, Minyi Guo TKDE 2020.

pdf	Improve Unsupervised Domain Adaptation with Variational Information Bottleneck Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu ECAI 2020.

pdf	Efficient Spectrum-Revealing CUR Matrix Decomposition Cheng Chen, Ming Gu, Zhihua Zhang, Weinan Zhang, Yong Yu AISTATS 2020.

pdf	Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, Yong Yu WSDM 2020.

pdf	Exploring Diverse Expressions for Paraphrase Generation Lihua Qian, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu EMNLP 2019.

pdf	Generative Adversarial Exploration for Reinforcement Learning Weijun Hong, Menghui Zhu, Minghuan Liu, Weinan Zhang, Ming Zhou, Yong Yu, Peng Sun DAI 2019.

pdf	Factorized Q-learning for Large-scale Multi-agent Systems Ming Zhou, Yong Chen, Ying Wen, Yaodong Yang, Yufeng Su, Weinan Zhang, Dell Zhang, Jun Wang DAI 2019.

pdf	CoLight: Learning Network-level Cooperation for Traffic Signal Control Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li CIKM 2019.

pdf	Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye CIKM 2019.

pdf	CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye CIKM 2019.

pdf	Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds Dagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai CIKM 2019.

pdf	Learning Adaptive Display Exposure for Real-Time Advertising Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai CIKM 2019.

pdf	Dynamically Fused Graph Network for Multi-hop Reasoning Yunxuan Xiao, Yanru Qu, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu ACL 2019.

pdf	CoT: Cooperative Training for Generative Modeling of Discrete Data Sidi Lu, Lantao Yu, Siyuan Feng, Yaoming Zhu, Weinan Zhang, Yong Yu ICML 2019.

pdf	Lipschitz Generative Adversarial Nets Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang ICML 2019.

pdf	Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space Zhou Fan, Rui Su, Weinan Zhang, Yong Yu IJCAI 2019.

pdf	Deep Landscape Forecasting for Real-time Bidding Advertising Kan Ren, Jiarui Qin, Lei Zheng, Weinan Zhang, Yong Yu KDD 2019.

pdf	TrajGuard: A Comprehensive Trajectory Copyright Protection Scheme Zheyi Pan, Jie Bao, Weinan Zhang, Yong Yu and Yu Zheng KDD 2019.

pdf	An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation Yanru Qu, Ting Bai, Weinan Zhang, Jianyun Nie, Jian Tang DLP-KDD 2019. (Best Paper Award)

pdf	Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu and Kun Gai SIGIR 2019.

pdf	Triple-to-Text: Converting RDF Triples into High Quality Natural Languages via Optimizing an Inverse KL Divergence Yaoming Zhu, Juncheng Wan, Zhiming Zhou, Liheng Chen, Lin Qiu, Weinan Zhang, Xin Jiang and Yong Yu SIGIR 2019.

pdf	AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods Zhiming Zhou, Qingru Zhang, Guansong Lu, Hongwei Wang, Weinan Zhang, Yong Yu ICLR 2019.

pdf	CommunityGAN: Community Detection with Generative Adversarial Nets Yuting Jia, Qinqin Zhang, Weinan Zhang, Xinbing Wang WWW 2019.

pdf	Sampled in Pairs and Driven by Text: A New Graph Embedding Framework Liheng Chen, Yanru Qu, Zhenghui Wang, Lin Qiu, Weinan Zhang, Ken Chen, Shaodian Zhang, Yong Yu WWW 2019.

pdf	Large-scale Interactive Recommendation with Tree-structured Policy Gradient Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu AAAI 2019.

pdf	Deep Recurrent Survival Analysis Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu AAAI 2019.

pdf	Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising Kan Ren, Yuchen Fang, Weinan Zhang, Shuhao Liu, Jiajun Li, Ya Zhang, Yong Yu, Jun Wang CIKM 2018.

pdf	Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising Junqi Jin, Chengru Song, Han Li, Kun Gai, Jun Wang, Weinan Zhang CIKM 2018.

pdf	Mean Field Multi-Agent Reinforcement Learning Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang ICML 2018.

pdf	Path-Level Network Transformation for Efficient Architecture Search Han Cai, Jiacheng Yang, Weinan Zhang, Song Han, Yong Yu ICML 2018.

pdf	Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He TOIS 2018.

pdf	A Bootstrapping Framework With Interactive Information Modeling for Network Alignment Xuezhi Cao, Weinan Zhang, Yong Yu IEEE Access 2018.

pdf	Pedestrian detection by feature selected self-similarity features Xinchuan Fu, Rui Yu, Weinan Zhang, Li Feng, Shihai Shao IEEE Access 2018.

pdf	Delving deep into multiscale pedestrian detection via single scale feature maps Xinchuan Fu, Rui Yu, Weinan Zhang, Jie Wu, Shihai Shao Sensors 2018.

pdf	Learning to Design Games: Strategic Environments in Deep Reinforcement Learning Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Ying Wen, Yong Yu, Wenxin Li IJCAI 2018.

pdf	fBGD: Learning Embeddings From Positive Unlabeled Data with BGD Fajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Chua Tat-Seng, Joemon M. Jose UAI 2018.

pdf	Activation Maximization Generative Adversarial Nets Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Yong Yu, Jun Wang ICLR 2018.

pdf	A Study of AI Population Dynamics with Million-agent Reinforcement Learning Yaodong Yang, Lantao Yu, Yiwei Bai, Ying Wen, Weinan Zhang, Jun Wang AAMAS 2018.

pdf	A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks Huichen Li, Xiaojun Xu, Chang Liu, Teng Ren, Kun Wu, Xuezhi Cao, Weinan Zhang, Yong Yu, Dawn Song S&P (Oakland) 2018.

pdf	QA4IE: A Question Answering based Framework for Information Extraction Lin Qiu, Hao Zhou, Yanru Qu, Weinan Zhang, Suoheng Li, Shu Rong, Dongyu Ru, Lihua Qian, Kewei Tu, Yong Yu ISWC 2018.

pdf	Label-aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition Zhenghui Wang, Yanru Qu, Liheng Chen, Jian Shen, Weinan Zhang, Shaodian Zhang, Yimei Gao, Gen Gu, Ken Chen, Yong Yu NAACL HLT 2018. (Oral presentation 6.73%)

pdf	A Neural Stochastic Volatility Model Rui Luo, Weinan Zhang, Xiaojun Xu, Jun Wang AAAI 2018.

pdf	Long Text Generation via Adversarial Training with Leaked Information Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, Jun Wang AAAI 2018.

pdf	Efficient Architecture Search by Network Transformation Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang AAAI 2018.

pdf	GraphGAN: Graph Representation Learning with Generative Adversarial Nets Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo AAAI 2018.

pdf	Neural Link Prediction over Aligned Networks Xuezhi Cao, Haokun Chen, Xuejian Wang, Weinan Zhang, Yong Yu AAAI 2018.

pdf	Wasserstein Distance Guided Representation Learning for Domain Adaptation Jian Shen, Yanru Qu, Weinan Zhang, Yong Yu AAAI 2018.

pdf	Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising Kan Ren, Weinan Zhang, Ke Chang, Yifei Rong, Yong Yu, Jun Wang TKDE 2018.

pdf	Content Recommendation by Noise Contrastive Transfer Learning of Feature Representation Yiyang Li, Guanyu Tao, Weinan Zhang, Jun Wang and Yong Yu CIKM 2017.

pdf	Volume Ranking and Sequential Selection in Programmatic Display Advertising Yuxuan Song, Kan Ren, Han Cai, Weinan Zhang, Yong Yu CIKM 2017.

pdf	Unsupervised Diverse Colorization via Generative Adversarial Networks Yun Cao, Zhiming Zhou, Weinan Zhang, Yong Yu ECML-PKDD 2017. (Accept rate: 27.1%)

pdf	Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration Xuejian Wang, Lantao Yu, Kan Ren, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang KDD 2017. (Accept rate: 21.5%)

pdf	Aggregating Crowd Wisdoms with Label-aware Autoencoders Li'ang Yin, Jianhua Han, Weinan Zhang, Yong Yu IJCAI 2017. (Accept rate: 26.0%)

pdf	IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang SIGIR 2017. (Accept rate: 21.5%; Best Paper Honorable Mention Award)

pdf	"We make choices we think are going to save us": Debate and stance identification for online breast cancer CAM discussions Shaodian Zhang, Lin Qiu, Frank Chen, Weinan Zhang, Yong Yu and Noemie Elhadad WWW 2017. (Web Science Track)

pdf	Cataloguing Treatments Discussed and Used in Online Autism Communities Shaodian Zhang, Tian Kang, Lin Qiu, Weinan Zhang, Yong Yu and Noemie Elhadad WWW 2017. (Accept rate: 17.0%)

pdf	SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu AAAI 2017. (Accept rate: 24.6%)

pdf	BoostFM: Boosted Factorization Machines for top-N Feature-based Recommendation Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang IUI 2017.

pdf	Real-Time Bidding by Reinforcement Learning in Display Advertising Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu and Defeng Guo WSDM 2017. (Accept rate: 15.8%)

pdf	Managing Risk of Bidding in Display Advertising Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang WSDM 2017. (Accept rate: 15.8%)

pdf	Product-based Neural Networks for User Response Prediction Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang ICDM 2016. (Accept rate: 19.6%)

pdf	User Response Learning for Directly Optimizing Campaign Performance in Display Advertising Kan Ren, Weinan Zhang, Yifei Rong, Haifeng Zhang, Yong Yu, Jun Wang CIKM 2016. (Industry track accept rate: 19.8%)

pdf	LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates Fajie Yuan, Guibin Guo, Joemon Jose, Long Chen, Haitao Yu, Weinan Zhang CIKM 2016. (Research track accept rate: 17.6%)

pdf	Functional Bid Landscape Forecasting for Display Advertising Yuchen Wang, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu ECML-PKDD 2016.

pdf	Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising Weinan Zhang, Tianxiong Zhou, Jun Wang, Jian Xu KDD 2016. (Accept rate: 16.8%)

pdf	Optimal Real-Time Bidding for Display Advertising Weinan Zhang PhD Thesis 2016. (University College London)

pdf	Learning Text Representation using Recurrent Convolutional Neural Network with Highway Layers Ying Wen, Weinan Zhang, Rui Luo, Jun Wang NeuIR 2016. (SIGIR Workshop)

pdf	Deep Learning over Multi-Field Categorical Data: A Case Study on User Response Prediction Weinan Zhang, Tianming Du, Jun Wang ECIR 2016. (Accept rate: 21%)

pdf	Implicit Look-alike Modelling in Display Ads: Transfer Collaborative Filtering to CTR Estimation Weinan Zhang, Lingxi Chen, Jun Wang, Thomas Furmston ECIR 2016. (Accept rate: 21%)

pdf	Collective Noise Contrastive Estimation for Policy Transfer Learning Weinan Zhang, Ulrich Paquet, Katja Hofmann AAAI 2016. (Accept rate: 25.8%)

pdf	Feedback Control of Real-Time Display Advertising Weinan Zhang, Yifei Rong, Jun Wang, Tianchi Zhu, Xiaofan Wang WSDM 2016. (Accept rate: 18.2%)

pdf	Risk-Hedged Venture Capital Investment Recommendation Xiaoxue Zhao, Weinan Zhang, Jun Wang RecSys 2015. (Accept rate: 21.4%)

pdf	Statistical Arbitrage Mining for Display Advertising Weinan Zhang, Jun Wang KDD 2015. (Accept rate: 19.4%)

pdf	Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails Weinan Zhang, Amr Ahmed, Jie Yang, Vanja Josifovski, Alex J. Smola KDD 2015. (I&G track; accept rate: 34.2%)

pdf	Optimal Real-Time Bidding for Display Advertising Weinan Zhang, Shuai Yuan, Jun Wang KDD 2014. (Accept rate: 14.6%)

link	Real-Time Bidding Benchmarking with iPinYou Dataset Weinan Zhang, Shuai Yuan, Jun Wang, Xuehua Shen CoRR 2014. abs/1407.7073

pdf	Bid Keyword Suggestion in Sponsored Search based on Competitiveness and Relevance Ying Zhang, Weinan Zhang, Bin Gao, Xiaojie Yuan, Tie-Yan Liu IPM. 2014 Vol. 50, No. 4. DOI=10.1016/j.ipm.2014.02.004

pdf	To Personalize or Not: A Risk Management Perspective Weinan Zhang, Jun Wang, Bowei Chen, Xiaoxue Zhao RecSys 2013. (Accept rate: 23.8%)

pdf	An Empirical Study of Top-N Recommendation for Venture Finance Thomas Stone, Weinan Zhang, Xiaoxue Zhao CIKM 2013. (poster)

pdf	Interactive Collaborative Filtering Xiaoxue Zhao, Weinan Zhang, Jun Wang CIKM 2013. (Accept rate: 16.9%)

pdf	Optimizing Top-N Collaborative Filtering via Dynamic Negative Item Sampling Weinan Zhang, Tianqi Chen, Jun Wang, Yong Yu SIGIR 2013. (short paper)

pdf	MeDetect: A LOD-Based System for Collective Entity Annotation in Biomedicine Li Tian, Weinan Zhang, Antonis Bikakis, Haofen Wang, Yong Yu, Yuan Ni, Feng Cao WI 2013.

pdf	SVDFeature: A Toolkit for Feature-based Collaborative Filtering Tianqi Chen, Weinan Zhang, Qiuxia Lu, Kailong Chen, Zhao Zheng, Yong Yu JMLR. 13 (2012) 3619-3622

pdf	A Semantic Approach to Recommending Text Advertisements for Images Weinan Zhang, Li Tian, Xinruo Sun, Haofen Wang, Yong Yu RecSys 2012. (Accept rate: 20.2%)

pdf	Joint Optimization of Bid and Budget Allocation in Sponsored Search Weinan Zhang, Ying Zhang, Bin Gao, Yong Yu, Xiaojie Yuan and Tie-Yan Liu KDD 2012. (Accept rate: 17.6%)

pdf	Serendipitous Personalized Ranking for Top-N Recommendation Qiuxia Lu, Tianqi Chen, Weinan Zhang, Diyi Yang, Yong Yu WI 2012. Best paper nominee

pdf	MeDetect: Domain Entity Annotation in Biomedical References Using Linked Open Data Li Tian, Weinan Zhang, Haofen Wang, Chenyang Wu, Yuan Ni, Feng Cao, Yong Yu ISWC 2012. (poster)

pdf	Local Implicit Feedback Mining for Music Recommendation Diyi Yang, Tianqi Chen, Weinan Zhang, Qiuxia Lu, Yong Yu RecSys 2012. (Accept rate: 20.2%)

pdf	Collaborative filtering with short term preferences mining Diyi Yang, Tianqi Chen, Weinan Zhang, Yong Yu SIGIR 2012. (poster)

pdf	Advertising Keywords Recommendation for Short-text Web Pages using Wikipedia Weinan Zhang, Dingquan Wang, Gui-Rong Xue, and Hongyuan Zha ACM TIST. Vol. 3, No. 2. DOI=10.1145/2089094.2089112

pdf	Feature Based Informative Model for Discriminating Favorite Items from Unrated Ones Bing Cheng, Tianqi Chen, Diyi Yang, Weinan Zhang, Yongqiang Wang, Yong Yu APWeb 2012.

pdf	TuneSensor: A Semantic-Driven Music Recommendation Service For Digital Photo Albums Jiansong Chao, Haofen Wang, Wenlei Zhou, Weinan Zhang and Yong Yu ISWC 2011. (poster)

pdf	Informative Household Recommendation with Feature-based Matrix Factorization Qiuxia Lu, Diyi Yang, Tianqi Chen, Weinan Zhang and Yong Yu RecSys 2011. CAMRa Workshop

pdf	Informative Ensemble of Multi-Resolution Dynamic Factorization Models Tianqi Chen, Zhao Zheng, Qiuxia Lu, Xiao Jiang, Yuqiang Chen, Weinan Zhang, Kailong Chen, Yong Yu, Nathan N. Liu, Bin Cao, Luheng He and Qiang Yang KDD 2011. KDD-CUP' 11 Workshop

pdf	Feature-Based Matrix Factorization Tianqi Chen, Zhao Zheng, Qiuxia Lu, Weinan Zhang, Yong Yu CoRR 2011. abs/1109.2271

pdf	LODDO: Using Linked Open Data Description Overlap to Measure Semantic Relatedness Between Named Entities Wenlei Zhou, Haofen Wang, Jiansong Chao, Weinan Zhang and Yong Yu JIST 2011.