基本信息






张兆翔 博士，研究员，博导智能感知与计算研究中心
模式识别国家重点实验室
国家青年拔尖人才
教育部新世纪优秀人才
自动化所-图森未来联合实验室负责人
个人主页： http://zhaoxiangzhang.net
电子邮件：zhaoxiang[dot]zhang[at]ia[dot]ac[dot]cn
招贤纳士： 研究生、实习生、博士后、教职、工程师





部门/实验室：智能感知与计算研究中心
个人简介




更详细信息请访问张兆翔的个人主页。


张兆翔，博士，中国科学院自动化研究所模式识别国家重点实验室与智能感知与计算研究中心研究员、博士生导师，中国科学院大学岗位教授，中国科学院脑科学与智能技术卓越创新中心年轻骨干。
张兆翔博士的研究兴趣包括：模式识别、计算机视觉与深度学习，具体研究方向包括：视觉认知计算、类脑学习和面向开放环境的视觉感知与理解，在本领域国际主流期刊与会议上发表论文200余篇，近五年来在JMLR、IEEE T-IP、IEEE T-NN等顶级期刊与CVPR、ICCV、ECCV、NIPS、AAAI、IJCAI等顶级会议发表论文50余篇，申请专利20余项，已授权10项，承担了国家自然科学基金重点项目、国家重点研发项目课题、北京市新一代人工智能重点研发项目等多项国家级科研项目和企业合作项目。
张兆翔博士是IEEE高级会员，VALSE常务AC，中国计算机学会CCF杰出会员、中国人工智能学会CAAI杰出会员、中国人工智能学会CAAI副秘书长、中国人工智能学会CAAI模式识别专委会秘书长、中国图象图形学学会会员发展与服务委员会副主任、中国科学院学部科学规范与伦理研究支撑中心顾问委员会成员。
张兆翔博士是IEEE T-CSVT、Patten Recognition、NeuroComputing编委（Associate Editor），是CVPR、ICCV、AAAI、IJCAI、ACM MM、ICPR、ACCV等国际会议的领域主席（Area Chair）或高级程序委员会主席（Senior PC）。
张兆翔博士入选“国家青年拔尖人才”和“教育部新世纪优秀人才支持计划”，曾获得中国人工智能学会吴文俊技术发明奖二等奖（省部级、排名第一）。











近期动态（What is New）Feb. 2020: 5 papers accepted inCVPR'2020
Feb. 2020: I will serve as the Area Chair ofACCV'2020
Feb. 2020: I will serve as the Area Chair ofICPR'2020
Jan. 2020: I will serve as the Area Chair ofACM MM'2020
Jan. 2020: I will serve as the Area Chair ofCVPR'2021
Dec. 2019: I have been an Associate Editor ofIEEE T-CSVT
Nov. 2019: 2 papers accepted inAAAI'2020
Sep. 2019: I have been an Associate Editor ofPattern Recognition
Aug. 2019: 1 paper accepted inNeurIPS'2019
July 2019: 5 papers accepted inICCV'2019
June 2019: I will serve as the Senior PC ofIJCAI'2020
May 2019: I will serve as the Program Chair ofBICS'2020
More
?

科研方向








张兆翔是生物启发的智能计算研究组（BRAVE GROUP）负责人。研究组隶属于中国科学院自动化研究所智能感知与计算研究中心，中心负责人是谭铁牛院士。研究组属于中国科学院自动化研究所“2035创新团队”，长期以来扎根于模式识别与计算机视觉的前沿领域，致力于生物启发的智能信息处理理论与方法研究：构建多尺度新型神经网络模型，探索具有高度鲁棒性、自适应性、可泛化性的类人自主学习方法，在面向开放环境的感知与理解，以及基于知识刻画的智能进化等问题上验证其可行性与优越性。 主要应用场景包括：智能视觉监控、智能驾驶、视听融合机器人与智能体育视频分析。课题组承担的项目包括：国家重点研发计划项目、国家自然科学基金委重点项目、北京市新一代人工智能重点研发项目等。
具体研究领域：模式识别、计算机视觉、深度学习。
具体研究领域：

1、计算机视觉感知与理解
研究视觉场景感知与理解方法，如物体检测、物体分割、语义理解、深度估计、环境建模；研究以人为中心的视觉感知与计算方法，如行人检测、行人跟踪、行人再识别、行人检索、行人姿态估计、行人行为分析；研究面向机器人应用场景的视觉分析与交互方法，如避障、识别、重建。
2、生物启发的深度神经网络建模
从视觉认知机理和神经机制寻求启发，构建有别于现有网络结构的深度神经网络新模型和新方法，在开放环境的场景感知与理解问题上验证其优越性。
3、自主学习理论与方法
探索新型机器学习模型，探索能够具有连续性、自适应性、自主性和进化性的新理论与新方法，在多种应用问题上验证其有效性。
4、多模态生成与融合
探索多传感器、视听多模态生成与融合新方法与新应用，主要针对智能监控、智能驾驶、智能机器人等具体应用场景。
具体研究的亮点工作参见here。














招生信息
?依托中国科学院自动化研究所、中国科学院大学人工智能学院、中国科学院大学未来技术学院，以及和国内外高水平科研机构联合培养，每年招收直博生、普通博士生和硕士生。按照历年经验来看，绝大多数自动化所和中国科学院大学的名额都在自动化所夏令营期间的免试推免中招满。课题组迫切需要有学术追求、有深厚数学基础、英语水平和编程能力的学生加入，欢迎提前邮件申请。




招生专业
1. 081104-模式识别与智能系统（隶属控制科学与技术一级学科）
2. 081203-计算机应用（隶属计算机科学与技术一级学科）



招生方向
1. 视觉场景分析与理解（检测、识别、语义、建模）
2. 以人为中心的视觉感知与分析（行人分割、行人搜索、行人再识别）
3. 新型深度学习与神经计算（多模态、多任务、模块化）
4. 生物启发的视觉计算（类脑视觉、认知计算）
5. 生物启发的新一代机器学习（类人学习、终身学习）

招生要求

专业背景不限。希望有扎实的数理基础、较好的英语读写能力和编程能力，专注于科研的精神和追求高水平学术的理想。最重要的是追求科研的精神和自主学习的能力。导师和课题组会对因材施教，无论基础的高低，全力培养出色的研究生。
近年来实验室学生在每年顶会CVPR、ICCV等都有多篇高水平论文发表。部分学生在一次顶会中有2-3篇论文发表；部分学生在研一阶段就发表多篇顶会文章。
课题组学生去向包括BAT、华为等大厂、商汤等独角兽、以及科研院校，以及海外作为博士生或者博士后深造。


招生类型1. 直博生
2. 普博生
3. 硕士生（优先硕博连读）



教育与工作经历2000-2004 中国科学技术大学，本科
2004-2009 中国科学院自动化研究所，模式识别国家重点实验室，硕博连读
2009-2015 北京航空航天大学，讲师、副教授、硕士生导师、计算机应用技术系副主任
2011-2012 英国玛丽皇后学院计算机视觉研究组，访问
2014-2015 微软亚洲研究院，“铸星计划”客座研究员
2015至今 中国科学院自动化研究所，研究员，博士生导师
2015至今 中国科学院大学，岗位教授
2015至今 中国科学院脑科学与智能技术卓越创新中心，年轻骨干
2018-2019 麻省理工大学MIT计算机与人工智能系，高级访问



学术奖励“CAAI Technical Innovation Award”,中国人工智能学会技术发明奖（排名第一），2019
“CCF Distinguished Member”,中国计算机学会杰出会员，2019
“CAAI Distinguished Contributions Award”,中国人工智能学会杰出贡献奖，2019
“CAAI Distinguished Member”,中国人工智能学会杰出会员，2019
“The National Youth Talent Support Program”,国家青年拔尖人才，2019
“BICS’2016 Best Paper Award”,BICS’2016最佳论文奖，2016
“IEEE Senior Member”,IEEE高级会员，2015
“New Century Excellent Talents in University”,教育部新世纪优秀人才支持计划，2013
…



学术兼职与服务







国际学术兼职与服务2019-, Associate Editor, Journal of IEEE T-CSVT
2019-, Associate Editor, Journal of Pattern Recognition
2015-, Associate Editor, Journal of NeuralComputing
2015-2019, Associate Editor, Jouranl of IEEE Access
2013-, Youth Associate Editor, Journal of Frontiers of Computer Science
Area Chair, CVPR’2021
Area Chair, ACCV’2020
Area Chair, ACM MM’2020
Area Chair, ICPR’2020
Program Chair, BICS’2020
Area Chair, ICPR’2018
Publication Chair, ICPR’2018
Program Chair, Valse’2018
…



国内学术兼职与服务2019-，中国人工智能学会副秘书长
2019-，中国人工智能学会理事
2019-，中国人工智能学会模式识别专委会秘书长
2019-，中国科学院学部科学规范与伦理研究支撑中心顾问委员会成员
2016-，中国图像图形学学会会员发展与服务委员会副主任
2015-，中国电子学会青年科学家俱乐部成员



科研项目
?国家自然科学基金委重点项目类脑神经网络建模、学习与应用2万主持
国家自然科学基金委面上项目基于动态多模态多任务学习的视觉场景理解方法研究2018-202164万主持
国家自然科学基金委面上项目基于多任务学习的跨视角视频分析方法研究2014-201780万主持
国家自然科学基金委青年项目基于视觉场景信息自动获取的视频在线目标分类方法研究2010-201320万主持
北京市科委重点项目生物启发的深度学习分析与验证系统研究及示范应用2万主持
总装备部预研共性技术重点项目面向环境智能感知的多源信息融合与理解技术2万主持
KJW前沿创新计划基于****与协同优化2万主持
科技部重点研发计划基于天空地一体化大数据的公共安全事件智能感知与理解2万主持


学术成果

迄今在本领域主流期刊与会议发表论文200余篇，其中SCI索引论文100余篇，IEEE Transactions系列刊物论文30余篇，具体论文情况参见DBLP，Google Scholar；代表性论文参见here；科研亮点工作参见here；科研演示与系统参见here。


近五年论文包括：
2020 – today

2020
[j57]





Yangyang Ye,Houjin Chen,Chi Zhang,Xiaoli Hao,Zhaoxiang Zhang:
SARPNET: Shape attention regional proposal network for liDAR-based 3D object detection.Neurocomputing379:53-63(2020)

[–]2010 – 2019

2019
[j56]





Zhenyu Wang,Jie Lian,Chunfeng Song,Zhaoxiang Zhang,Wei Zheng,Shaolong Yue,Senrong Ji:
SAS: Painting Detection and Recognition via Smart Art System With Mobile Devices.IEEE Access7:135563-135572(2019)
[j55]





Zhenyu Wang,Wei Zheng,Chunfeng Song,Zhaoxiang Zhang,Jie Lian,Shaolong Yue,Senrong Ji:
Air Quality Measurement Based on Double-Channel Convolutional Neural Network Ensemble Learning.IEEE Access7:145067-145081(2019)
[j54]





Cairong Zhao,Kang Chen,Di Zang,Zhaoxiang Zhang,Wangmeng Zuo,Duoqian Miao:
Uncertainty-optimized deep learning model for small-scale person re-identification.SCIENCE CHINA Information Sciences62(12):220102(2019)
[j53]





Zhaoxiang Zhang,Akira Iwasaki,Guodong Xu:
Attitude Jitter Compensation for Remote Sensing Images Using Convolutional Neural Network.IEEE Geosci. Remote Sensing Lett.16(9):1358-1362(2019)
[j52]





Wei Wang,Hao Wang,Zhaoxiang Zhang,Chen Zhang,Yang Gao:
Semi-supervised domain adaptation via Fredholm integral based kernel methods.Pattern Recognition85:185-197(2019)
[j51]





Wangli Hao,Zhaoxiang Zhang:
Spatiotemporal distilled dense-connectivity network for video action recognition.Pattern Recognition92:13-24(2019)
[j50]





Zhaoxiang Zhang,Shiguang Shan,Yi Fang,Ling Shao:
Deep Learning for Pattern Recognition.Pattern Recognition Letters119:1-2(2019)
[j49]





Xinwei He,Baoguang Shi,Xiang Bai,Gui-Song Xia,Zhaoxiang Zhang,Weisheng Dong:
Image Caption Generation with Part of Speech Guidance.Pattern Recognition Letters119:229-237(2019)
[j48]





Ce Li,Xinyu Zhao,Zhaoxiang Zhang,Shaoyi Du:
Generative adversarial dehaze mapping nets.Pattern Recognition Letters119:238-244(2019)
[j47]





Yan Huang,Jingsong Xu,Qiang Wu,Zhedong Zheng,Zhaoxiang Zhang,Jian Zhang:
Multi-Pseudo Regularized Label for Generated Data in Person Re-Identification.IEEE Trans. Image Processing28(3):1391-1403(2019)
[j46]





Guibo Zhu,Zhaoxiang Zhang,Jinqiao Wang,Yi Wu,Hanqing Lu:
Dynamic Collaborative Tracking.IEEE Trans. Neural Netw. Learning Syst.30(10):3035-3046(2019)
[j45]





Heikki Huttunen,Ke Chen,Zhaoxiang Zhang:
Guest Editorial: Special Issue on Machine Learning Implementations.Signal Processing Systems91(2):115-116(2019)
[c99]





Qing En,Lijuan Duan,Zhaoxiang Zhang,Xiang Bai,Yundong Zhang:
Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection.AAAI2019:3502-3509
[c98]





Wenkai Dong,Zhaoxiang Zhang,Tieniu Tan:
Attention-Aware Sampling via Deep Reinforcement Learning for Action Recognition.AAAI2019:8247-8254
[c97]





Yue Xu,Fei Yin,Da-Han Wang,Xu-Yao Zhang,Zhaoxiang Zhang,Cheng-Lin Liu:
CASIA-AHCDB: A Large-Scale Chinese Ancient Handwritten Characters Database.ICDAR2019:793-798
[c96]





Wu Zheng,Lin Li,Zhaoxiang Zhang,Yan Huang,Liang Wang:
Relational Network for Skeleton-Based Action Recognition.ICME2019:826-831
[c95]





Zhaoxiang Zhang,Akira Iwasaki,Guodong Xu:
Remote Sensing Satellite Jitter Detection Based on Image Registration and Convolutional Neural Network Fusion.IGARSS2019:10035-10038
[c94]





Junran Peng,Ming Sun,Zhaoxiang Zhang,Tieniu Tan,Junjie Yan:
Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection.NeurIPS2019:14290-14299
[e3]





Zhaoxiang Zhang,David Suter,Yingli Tian,Alexandra Branzan Albu,Nicolas Sidère,Hugo Jair Escalante:
Pattern Recognition and Information Forensics - ICPR 2018 International Workshops, CVAUI, IWCF, and MIPPSNA, Beijing, China, August 20-24, 2018, Revised Selected Papers.Lecture Notes in Computer Science11188,Springer2019, ISBN978-3-030-05791-6[contents]
[e2]





Xiang Bai,Yi Fang,Yangqing Jia,Meina Kan,Shiguang Shan,Chunhua Shen,Jingdong Wang,Gui-Song Xia,Shuicheng Yan,Zhaoxiang Zhang,Kamal Nasrollahi,Gang Hua,Thomas B. Moeslund,Qiang Ji:
Video Analytics. Face and Facial Expression Recognition - Third International Workshop, FFER 2018, and Second International Workshop, DLPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers.Lecture Notes in Computer Science11264,Springer2019, ISBN978-3-030-12176-1[contents]
[i17]





Yanghao Li,Yuntao Chen,Naiyan Wang,Zhaoxiang Zhang:
Scale-Aware Trident Networks for Object Detection.CoRRabs/1901.01892(2019)
[i16]





Yuntao Chen,Chenxia Han,Yanghao Li,Zehao Huang,Yi Jiang,Naiyan Wang,Zhaoxiang Zhang:
SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition.CoRRabs/1903.05831(2019)
[i15]





Haiping Wu,Yuntao Chen,Naiyan Wang,Zhaoxiang Zhang:
Sequence Level Semantics Aggregation for Video Object Detection.CoRRabs/1907.06390(2019)
[i14]





Yuntao Chen,Chenxia Han,Naiyan Wang,Zhaoxiang Zhang:
Revisiting Feature Alignment for One-stage Object Detection.CoRRabs/1908.01570(2019)
[i13]





Junran Peng,Ming Sun,Zhaoxiang Zhang,Tieniu Tan,Junjie Yan:
POD: Practical Object Detection with Scale-Sensitive Network.CoRRabs/1909.02225(2019)
[i12]





Junran Peng,Ming Sun,Zhaoxiang Zhang,Tieniu Tan,Junjie Yan:
Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection.CoRRabs/1909.02293(2019)
[i11]





Chufeng Tang,Lu Sheng,Zhaoxiang Zhang,Xiaolin Hu:
Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization.CoRRabs/1910.04562(2019)
[i10]





Huanglin Yu,Ke Chen,Kaiqi Wang,Yanlin Qian,Zhaoxiang Zhang,Kui Jia:
Cascading Convolutional Color Constancy.CoRRabs/1912.11180(2019)
2018
[j44]





Cheng-Lin Liu,Amir Hussain,Bin Luo,Kay Chen Tan,Yi Zeng,Zhaoxiang Zhang:
Special Issue of BICS 2016.Cognitive Computation10(2):282-283(2018)
[j43]





Wang-Li Hao,Junsong Fan,Zhaoxiang Zhang,Guibo Zhu:
End-to-End Lifelong Learning: a Framework to Achieve Plasticities of both the Feature and Classifier Constructions.Cognitive Computation10(2):321-333(2018)
[j42]





Jinpeng Li,Zhaoxiang Zhang,Huiguang He:
Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition.Cognitive Computation10(2):368-380(2018)
[j41]





Ke Chen,Zhaoxiang Zhang:
A Primal Neural Network for Online Equality-Constrained Quadratic Programming.Cognitive Computation10(2):381-388(2018)
[j40]





Yuchun Fang,Qiulong Yuan,Zhaoxiang Zhang:
On the role of sparsity in feature selection and an innovative method LRMI.Neurocomputing321:237-250(2018)
[j39]





Zhaoxiang Zhang,Limin Dong,Guodong Xu,Jianing Song:
Real-Time Attitude Estimation by Using Parallax Observation System.Neural Processing Letters48(3):1415-1429(2018)
[j38]





Chi Zhang,Guangqi Hou,Zhaoxiang Zhang,Zhenan Sun,Tieniu Tan:
Efficient auto-refocusing for light field camera.Pattern Recognition81:176-189(2018)
[j37]





Song Bai,Shaoyan Sun,Xiang Bai,Zhaoxiang Zhang,Qi Tian:
Improving context-sensitive similarity via smooth neighborhood for object retrieval.Pattern Recognition83:353-364(2018)
[j36]





Zhaoxiang Zhang,Jiaxin Chen,Qiang Wu,Ling Shao:
GII Representation-Based Cross-View Gait Recognition by Discriminative Projection With List-Wise Constraints.IEEE Trans. Cybernetics48(10):2935-2947(2018)
[c93]





Yuntao Chen,Naiyan Wang,Zhaoxiang Zhang:
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer.AAAI2018:2852-2859
[c92]





Wang-Li Hao,Zhaoxiang Zhang,He Guan:
CMCGAN: A Uniform Framework for Cross-Modal Visual-Audio Mutual Generation.AAAI2018:6886-6893
[c91]





Wang-Li Hao,Zhaoxiang Zhang,He Guan:
Integrating Both Visual and Audio Cues for Enhanced Video Caption.AAAI2018:6894-6901
[c90]





Rui Yu,Zhiyong Dou,Song Bai,Zhaoxiang Zhang,Yongchao Xu,Xiang Bai:
Hard-Aware Point-to-Set Deep Metric for Person Re-identification.ECCV (16)2018:196-212
[c89]





Wu Zheng,Zhaoxiang Zhang:
Accelerating the Classification of Very Deep Convolutional Network by A Cascading Approach.ICPR2018:355-360
[c88]





Gangming Zhao,Zhaoxiang Zhang,He Guan,Peng Tang,Jingdong Wang:
Rethinking ReLU to Train Better CNNs.ICPR2018:603-608
[c87]





Yuchun Fang,Qiulong Yuan,Wei Zhang,Zhaoxiang Zhang:
Diversified Dual Domain-Adversarial Neural Networks.ICPR2018:615-620
[c86]





Lin Li,Zhaoxiang Zhang,Yan Huang,Liang Wang:
Deep Temporal Feature Encoding for Action Recognition.ICPR2018:1109-1114
[c85]





He Guan,Zhaoxiang Zhang,Tieniu Tan:
Inception Donut Convolution for Top-down Semantic Segmentation.ICPR2018:2492-2497
[c84]





Yue Xu,Fei Yin,Zhaoxiang Zhang,Cheng-Lin Liu:
Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks.IJCAI2018:1057-1063
[c83]





Liming Zhao,Mingjie Li,Depu Meng,Xi Li,Zhaoxiang Zhang,Yueting Zhuang,Zhuowen Tu,Jingdong Wang:
Deep Convolutional Neural Networks with Merge-and-Run Mappings.IJCAI2018:3170-3176
[c82]





Zhihe Lu,Tanhao Hu,Lingxiao Song,Zhaoxiang Zhang,Ran He:
Conditional Expression Synthesis with Face Parsing Transformation.ACM Multimedia2018:1083-1091
[c81]





Wu Zheng,Zhaoxiang Zhang:
Weakly-Supervised Object Localization by Cutting Background with Deep Reinforcement Learning.PRICAI2018:210-218
[c80]





He Guan,Zhaoxiang Zhang:
View Decomposition and Adversarial for Semantic Segmentation.PRICAI2018:247-255
[i9]





Yan Huang,Jinsong Xu,Qiang Wu,Zhedong Zheng,Zhaoxiang Zhang,Jian Zhang:
Multi-pseudo Regularized Label for Generated Samples in Person Re-Identification.CoRRabs/1801.06742(2018)
[i8]





Lin Li,Wu Zheng,Zhaoxiang Zhang,Yan Huang,Liang Wang:
Skeleton-Based Relational Modeling for Action Recognition.CoRRabs/1805.02556(2018)
[i7]





Rui Yu,Zhiyong Dou,Song Bai,Zhaoxiang Zhang,Yongchao Xu,Xiang Bai:
Hard-Aware Point-to-Set Deep Metric for Person Re-identification.CoRRabs/1807.11206(2018)
[i6]





Junran Peng,Lingxi Xie,Zhaoxiang Zhang,Tieniu Tan,Jingdong Wang:
Accelerating Deep Neural Networks with Spatial Bottleneck Modules.CoRRabs/1809.02601(2018)
[i5]





Junsong Fan,Zhaoxiang Zhang,Tieniu Tan:
CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation.CoRRabs/1811.10842(2018)
[i4]





Chuanchen Luo,Yuntao Chen,Naiyan Wang,Zhaoxiang Zhang:
Spectral Feature Transformation for Person Re-identification.CoRRabs/1811.11405(2018)
2017
[j35]





Junge Zhang,Kaiqi Huang,Tieniu Tan,Zhaoxiang Zhang:
Local structured representation for generic object detection.Frontiers Comput. Sci.11(4):632-648(2017)
[j34]





Ke Chen,Kui Jia,Zhaoxiang Zhang,Joni-Kristian K?m?r?inen:
Spectral attribute learning for visual regression.Pattern Recognition66:74-81(2017)
[j33]





Ke Chen,Zhaoxiang Zhang:
Learning to Classify Fine-Grained Categories with Privileged Visual-Semantic Misalignment.IEEE Trans. Big Data3(1):37-43(2017)
[j32]





Song Bai,Xiang Bai,Zhichao Zhou,Zhaoxiang Zhang,Qi Tian,Longin Jan Latecki:
GIFT: Towards Scalable 3D Shape Retrieval.IEEE Trans. Multimedia19(6):1257-1271(2017)
[j31]





Ke Chen,Zhaoxiang Zhang:
Pedestrian Counting With Back-Propagated Information and Target Drift Remedy.IEEE Trans. Systems, Man, and Cybernetics: Systems47(4):639-647(2017)
[c79]





Yuchun Fang,Zhengyan Ma,Zhaoxiang Zhang,Xu-Yao Zhang,Xiang Bai:
Dynamic Multi-Task Learning with Convolutional Neural Network.IJCAI2017:1668-1674
[c78]





Gangming Zhao,Jingdong Wang,Zhaoxiang Zhang:
Random Shifting for CNN: a Solution to Reduce Information Loss in Down-Sampling Layers.IJCAI2017:3476-3482
[c77]





Guibo Zhu,Zhaoxiang Zhang,Xu-Yao Zhang,Cheng-Lin Liu:
Diverse Neuron Type Selection for Convolutional Neural Networks.IJCAI2017:3560-3566
[i3]





Yuntao Chen,Naiyan Wang,Zhaoxiang Zhang:
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer.CoRRabs/1707.01220(2017)
[i2]





Gangming Zhao,Zhaoxiang Zhang,Jingdong Wang,He Guan:
Training Better CNNs Requires to Rethink ReLU.CoRRabs/1709.06247(2017)
2016
[j30]





Jiaxin Chen,Zhaoxiang Zhang,Yunhong Wang:
Corrections to "Relevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities".IEEE Trans. Image Processing25(1):494(2016)
[j29]





Jie Qin,Li Liu,Zhaoxiang Zhang,Yunhong Wang,Ling Shao:
Compressive Sequential Learning for Action Similarity Labeling.IEEE Trans. Image Processing25(2):756-769(2016)
[c76]





Ke Chen,Zhaoxiang Zhang:
An Improved Recurrent Network for Online Equality-Constrained Quadratic Programming.BICS2016:1-10
[c75]





Jinpeng Li,Zhaoxiang Zhang,Huiguang He:
Implementation of EEG Emotion Recognition System Based on Hierarchical Convolutional Neural Networks.BICS2016:22-33
[c74]





Wang-Li Hao,Zhaoxiang Zhang:
Incremental PCANet: A Lifelong Learning Framework to Achieve the Plasticity of both Feature and Classifier Constructions.BICS2016:298-309
[c73]





Jinpeng Li,Zhaoxiang Zhang,Huiguang He:
Visual Information Processing Mechanism Revealed by fMRI Data.BIH2016:85-93
[c72]





Song Bai,Xiang Bai,Zhichao Zhou,Zhaoxiang Zhang,Longin Jan Latecki:
GIFT: A Real-Time and Scalable 3D Shape Search Engine.CVPR2016:5023-5032
[c71]





Song Bai,Shaoyan Sun,Xiang Bai,Zhaoxiang Zhang,Qi Tian:
Smooth Neighborhood Structure Mining on Multiple Affinity Graphs with Applications to Context-Sensitive Similarity.ECCV (2)2016:592-608
[c70]





Ke Chen,Joni-Kristian K?m?r?inen,Zhaoxiang Zhang:
Facial Age Estimation Using Robust Label Distribution.ACM Multimedia2016:77-81
[e1]





Cheng-Lin Liu,Amir Hussain,Bin Luo,Kay Chen Tan,Yi Zeng,Zhaoxiang Zhang:
Advances in Brain Inspired Cognitive Systems - 8th International Conference, BICS 2016, Beijing, China, November 28-30, 2016, Proceedings.Lecture Notes in Computer Science10023,2016, ISBN978-3-319-49684-9[contents]
[i1]





Song Bai,Xiang Bai,Zhichao Zhou,Zhaoxiang Zhang,Longin Jan Latecki:
GIFT: A Real-time and Scalable 3D Shape Search Engine.CoRRabs/1604.01879(2016)
2015
[j28]





Zhaoxiang Zhang,Mo Wang,Xin Geng:
Crowd counting in public video surveillance by label distribution learning.Neurocomputing166:151-163(2015)
[j27]





ChunLei Li,Zhaoxiang Zhang,Yunhong Wang,Bin Ma,Di Huang:
Dither modulation of significant amplitude difference for wavelet based robust watermarking.Neurocomputing166:404-415(2015)
[j26]





Zheng Liu,Zhaoxiang Zhang,Qiang Wu,Yunhong Wang:
Enhancing person re-identification by integrating gait biometric.Neurocomputing168:1144-1156(2015)
[j25]





Tao Xu,Zhaoxiang Zhang,Yunhong Wang:
Patch-wise skin segmentation of human body parts via deep neural networks.J. Electronic Imaging24(4):043009(2015)
[j24]





Jiaxin Chen,Zhaoxiang Zhang,Yunhong Wang:
Relevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities.IEEE Trans. Image Processing24(12):4741-4755(2015)







毕业与在读学生信息


联合指导学生（与谭铁牛院士联合指导）：
彭君然 博士研究生081104-模式识别与智能系统
关 赫 博士研究生081104-模式识别与智能系统
樊峻菘博士研究生081104-模式识别与智能系统
董文恺博士研究生081104-模式识别与智能系统


指导学生：
李 靖博士研究生081104-模式识别与智能系统
潘 聪博士研究生 081104-模式识别与智能系统
陈伟伦硕士研究生081104-模式识别与智能系统
陈韫韬博士研究生081104-模式识别与智能系统
王玉玺博士研究生081104-模式识别与智能系统
张广耀硕士研究生081104-模式识别与智能系统
何嘉伟博士研究生081104-模式识别与智能系统
范 略博士研究生081104-模式识别与智能系统
张 霖博士研究生081104-模式识别与智能系统
罗传琛博士研究生081104-模式识别与智能系统
李冬冬硕士研究生085211-计算机技术


已毕业学生（包括与其他老师联合指导）：
赵刚明硕士研究生081104-模式识别与智能系统
郑 武硕士研究生085211-计算机技术
郝王丽博士研究生081203-计算机应用技术
关 赫 硕士研究生081104-模式识别与智能系统
李 林 硕士研究生081104-模式识别与智能系统
卢志合硕士研究生081104-模式识别与智能系统