个人简介
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60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理事、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。
张兆翔博士是IEEE T-CSVT、Patten Recognition、NeuroComputing 编委，担任CVPR、ICCV、AAAI、IJCAI、ACM MM、ICPR、ACCV等国际会议的领域主席（Area Chair）。
张兆翔博士入选“国家万人计划青年拔尖人才”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（排名第一）。
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，访问学者
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，高级访问学者
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”, 国家万人计划青年拔尖人才，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
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 2019-2023 292万 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 2018-2021 64万 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 2014-2017 80万 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 2010-2013 20万 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 2018-2019 500万 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 2018-2021 200万 主持
KJW前沿创新计划 基于****与协同优化 2018-2019 180万 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 2018-2022 105万 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。
近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
2020:
Wenkai Dong, Zhaoxiang Zhang*, Chunfeng Song, Tieniu Tan. Instance Guided Proposal Network for Person Search. IEEE Conference on Computer Vision and Pattern Recognition(CVPR) [pdf][bibtex]
Wenkai Dong, Zhaoxiang Zhang*, Chunfeng Song, Tieniu Tan. Bi-directional Interaction Network for Person Search. IEEE Conference on Computer Vision and Pattern Recognition(CVPR) [pdf][bibtex]
Junran Peng, Xingyuan Bu, Ming Sun, Zhaoxiang Zhang*, Tieniu Tan, Junjie Yan. Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels. IEEE Conference on Computer Vision and Pattern Recognition(CVPR) [pdf][bibtex]
Junsong Fan, Zhaoxiang Zhang*, Chunfeng Song, Tieniu Tan. Learning Integral Objects with Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) [pdf][bibtex]
Qi Zhang, Zhen Lei, Zhaoxiang Zhang, Stan Z. Li. Context-Aware Attention Network for Image-Text Retrieval. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) [pdf][bibtex]
Junsong Fan, Zhaoxiang Zhang*, Tieniu Tan, Chunfeng Song, Jun Xiao. CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI) [pdf][bibtex]
Huanglin Yu, Ke Chen, Kaiqi Wang, Yanlin Qian, Zhaoxiang Zhang, Kui Jia. Cascading Convolutional Color Constancy. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI) [pdf][bibtex]
Go to Top
2019:
Yan Huang, Jingsong Xu, Qiang Wu, Yi Zhong, Peng Zhang, Zhaoxiang Zhang. Beyond Scalar Neuron: Adopting Vector-Neuron Capsules for Long-Term Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) [pdf][bibtex]
Guibo Zhu, Zhaoxiang Zhang*, Jinqiao Wang, Yi Wu, Hanqing Lu. Dynamic Collaborative Tracking. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). [pdf][bibtex]
Yan Huang, Jingsong Xu, Qiang Wu, Zhedong Zheng, Zhaoxiang Zhang, Jian Zhang Multi-Pseudo Regularized Label for Generated Data in Person Re-Identification. IEEE Transactions on Image Processing (TIP) [pdf][bibtex] .
Wangli Hao, Zhaoxiang Zhang*. Spatiotemporal distilled dense-connectivity network for video action recognition. Pattern Recognition (PR) [pdf][bibtex]
Wei Wang, Hao Wang, Zhaoxiang Zhang, Chen Zhang, Yang Gao. Semi-supervised domain adaptation via Fredholm integral based kernel methods. Pattern Recognition (PR) [pdf][bibtex]
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. Journal of Machine Learning Research (JMLR). [pdf][code][bibtex]
Yanghao Li, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang*. Scale-Aware Trident Networks for Object Detection. IEEE International Conference on Computer Vision (ICCV). [pdf][bibtex]
Chuanchen Luo, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang*. Spectral Feature Transformation for Person Re-Identification. IEEE International Conference on Computer Vision (ICCV). [pdf][bibtex]
Junran Peng, Ming Sun, Zhaoxiang Zhang*, Tieniu Tan, Junjie Yan. POD: Practical Object Detection with Scale-Sensitive Network. IEEE International Conference on Computer Vision (ICCV). [pdf][bibtex]
Haiping Wu, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang*. Sequence Level Semantics Aggregation for Video Object Detection. IEEE International Conference on Computer Vision (ICCV). [pdf][bibtex]
Chufeng Tang, Lu Sheng, Zhaoxiang Zhang, Xiaolin Hu. Improving Pedestrian Attribute Recognition with Weakly-Supervised Multi-scale Attribute-Specific Localization. IEEE International Conference on Computer Vision (ICCV). [pdf][bibtex]
Junran Peng, Ming Sun, Zhaoxiang Zhang*, Tieniu Tan, Junjie Yan. Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection. Thirty-third Conference on Neural Information Processing Systems (NeurIPS). [pdf][bibtex]
Wenkai Dong, Zhaoxiang Zhang*, Tieniu Tan. Attention-aware Sampling via Deep Reinforcement Learning for Action Recognition. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI). [pdf][bibtex]
Qing En, Lijuan Duan, Zhaoxiang Zhang*, Xiang Bai, Yundong Zhang. Human-like Delicate Region Erasing Strategy for Weakly Supervised Detection. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI). [pdf][bibtex]
Go to Top
2018:
Zhaoxiang Zhang, Jiaxin Chen, Qiang Wu, Ling Shao. GII Representation-Based Cross-View Gait Recognition by Discriminative Projection With List-Wise Constraints. IEEE Transactions on Systems, Man, and Cybernetics (TCYB). [pdf][bibtex]
Chi Zhang, Guangqi Hou, Zhaoxiang Zhang, Zhenan Sun, Tieniu Tan. Efficient auto-refocusing for light field camera. Pattern Recognition (PR). [pdf][bibtex]
Song Bai, Shaoyan Sun, Xiang Bai, Zhaoxiang Zhang, Qi Tian. Improving context-sensitive similarity via smooth neighborhood for object retrieval. Pattern Recognition (PR). [pdf][bibtex]
Rui Yu, Zhiyong Dou, Song Bai, Zhaoxiang Zhang, Yongchao Xu, Xiang Bai. Hard-Aware Point-to-Set Deep Metric for Person Re-identification. European Conference on Computer Vision (ECCV). [pdf][bibtex]
Wangli Hao, Zhaoxiang Zhang*, He Guan. Integrating both Visual and Audio Cues for Enhanced Video Caption. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI). [pdf][bibtex]
Wangli Hao, Zhaoxiang Zhang*, He Guan. CMCGAN: A Uniform Framework for Cross-Modal Visual-Audio Mutual Generation. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI). [pdf][bibtex]
Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang*. DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI). [pdf][bibtex]
Yue Xu, Fei Yin, Zhaoxiang Zhang, Cheng-Lin Liu. Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks. International Joint Conference on Artificial Intelligence (IJCAI). [pdf][bibtex]
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. International Joint Conference on Artificial Intelligence (IJCAI). [pdf][bibtex]
Go to Top
2017:
Ke Chen, Zhaoxiang Zhang*. Learning to Classify Fine-Grained Categories with Privileged Visual-Semantic Misalignment. IEEE Transactions on Big Data (TBD). [pdf][bibtex]
Ke Chen, Zhaoxiang Zhang*. Pedestrian Counting With Back-Propagated Information and Target Drift Remedy. IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC). [pdf][bibtex]
Song Bai, Xiang Bai, Zhichao Zhou, Zhaoxiang Zhang, Qi Tian, Longin Jan Latecki. GIFT: Towards Scalable 3D Shape Retrieval. IEEE Transactions on Multimedia (TMM). [pdf][bibtex]
Ke Chen, Kui Jia, Zhaoxiang Zhang, Joni-Kristian Kämäräinen. Spectral attribute learning for visual regression. Pattern Recognition (PR). [pdf][bibtex]
Yuchun Fang, Zhengyan Ma, Zhaoxiang Zhang*, Xu-Yao Zhang, Xiang Bai. Dynamic Multi-Task Learning with Convolutional Neural Network. International Joint Conference on Artificial Intelligence (IJCAI). [pdf][bibtex]
Guibo Zhu, Zhaoxiang Zhang*, Xu-Yao Zhang, Cheng-Lin Liu. Diverse Neuron Type Selection for Convolutional Neural Networks. International Joint Conference on Artificial Intelligence (IJCAI). [pdf][bibtex]
Gangming Zhao, Jingdong Wang, Zhaoxiang Zhang*. Random Shifting for CNN: a Solution to Reduce Information Loss in Down-Sampling Layers. International Joint Conference on Artificial Intelligence (IJCAI). [pdf][bibtex]
Go to Top
2016:
Jie Qin, Li Liu, Zhaoxiang Zhang, Yunhong Wang, Ling Shao. Compressive Sequential Learning for Action Similarity Labeling. IEEE Transactions on Image Processing (TIP). [pdf][bibtex]
Song Bai, Shaoyan Sun, Xiang Bai, Zhaoxiang Zhang, Qi Tian. Smooth Neighborhood Structure Mining on Multiple Affinity Graphs with Applications to Context-Sensitive Similarity. The 14th European Conference on Computer Vision (ECCV). [pdf][bibtex]
Song Bai, Xiang Bai, Zhichao Zhou, Zhaoxiang Zhang, Longin Jan Latecki. GIFT: A Real-Time and Scalable 3D Shape Search Engine. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). [pdf][bibtex]
京公网安备 11010802027423号