教育背景 2006年本科毕业于北京理工大学电子工程系，2011年于中国科学院自动化研究所获博士学位 工作经历 博士毕业后，曾先后于美国伊利诺伊大学香槟分校新加坡高等研究院、阿卜杜拉国王科技大学和中国科学院自动化研究所从事科研工作 科研成果 在国内外学术期刊和会议上发表论文100余篇，包括TPAMI、TIP、IJCV、CVPR、ICCV等ACM/IEEE汇刊和中国计算机学会（CCF）A类会议论文54篇（近5年43篇）。SCI他引1589次，第一作者单篇最高SCI他引422次，3篇论文入选ESI高被引。论文谷歌学术引用10000余次，第一作者论文单篇谷歌学术最高引用1179余次。获China MM 2017最佳论文奖和CCF-A类会议ACM MM 2016最佳论文奖。多次获得目标跟踪、目标分割、点云场景分割、少样本识别等国际顶级竞赛第1名。获中科院院长优秀奖，中科院优博，中科院青促会，中国电子学会自然科学一等奖。担任IEEETCSVT编委、Neurocomputing编委、KSII TIIS编委、CVIU客座编委，担任CCF-A类会议ICCV 2019领域主席、ACMMM 2019领域主席、ICPR 2018领域主席、WACV 2018领域主席、MVA 2017领域主席、ICIMCS 2015出版主席等。长期担任多个国际知名学术期刊和国际会议审稿人，并荣获MMSJ Best Reviewer Awards、ECCV 2016 Outstanding Reviewer Awards和CVPR 2018 Outstanding Reviewer Awards。

模式识别，计算机视觉，机器学习，多媒体计算，人工智能

[1]Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang, Learning Multi-task Correlation Particle Filters for Visual Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 41(2): 365-378, 2019. [2]Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang, Robust Structural Sparse Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 41(2): 473-486, 2019. [3]Tianzhu Zhang, Si Liu, Narendra Ahuja, Ming-Hsuan Yang, Bernard Ghanem: Robust Visual Tracking Via Consistent Low-Rank Sparse Learning. International Journal of Computer Vision (IJCV) 111(2): 171-190 (2015). [4]Tianzhu Zhang, Bernard Ghanem, Si Liu, Narendra Ahuja:Robust Visual Tracking via Structured Multi-Task Sparse Learning. International Journal of Computer Vision (IJCV) 101(2): 367-383 (2013). [5]Tianzhu Zhang, Si Liu, Changsheng Xu, Bin Liu, Ming-Hsuan Yang, Correlation Particle Filter for Visual Tracking, IEEE Transactions on Image Processing (TIP), 27(6): 2676-2687,2018. [6]Tianzhu Zhang, Bernard Ghanem, Si Liu, Changsheng Xu, Narendra Ahuja: Robust Visual Tracking via Exclusive Context Modeling. IEEE Transactions on Cybernetics (TCYB) 46(1): 51-63(2016). [7]TianzhuZhang, Jing Liu, Si Liu, Changsheng Xu, Hanqing Lu: Boosted Exemplar Learning for Action Recognition and Annotation. IEEE Transactions on Circuits and Systems forVideo Technology (TCSVT) 21(7): 853-866 (2011). [8]TianzhuZhang, Changsheng Xu, Guangyu Zhu, Si Liu, Hanqing Lu: A Generic Framework for Video Annotation via Semi-Supervised Learning. IEEE Transactions on Multimedia (TMM) 14(4): 1206-1219 (2012). [9]Tianzhu Zhang, Changsheng Xu. Cross-Domain Multi-Event Tracking via CO-PMHT. ACM Transactions on Multimedia Computing,Communications and Application (TOMM) 10(4): 31:1-31:19, 2014. [10]Tianzhu Zhang, Si Liu, Changsheng Xu, Hanqing Lu: Mining Semantic Context Information for Intelligent Video Surveillance of Traffic Scenes. IEEE Transactions on Industrial Informatics (TII) 9(1): 149-160(2013). [11]Tianzhu Zhang,Changsheng Xu, Ming-Hsuan Yang, Multi-task Correlation Particle Filter for RobustObject Tracking, CVPR 2017: 4819-4827. [12]Tianzhu Zhang, Adel Bibi, Bernard Ghanem: In Defense of Sparse Tracking: Circulant Sparse Tracker. CVPR 2016: 3880-3888. [13]Tianzhu Zhang, Si Liu, Changsheng Xu, Shuicheng Yan, Bernard Ghanem, Narendra Ahuja, Ming-Hsuan Yang: Structural Sparse Tracking. CVPR 2015: 150-158. [14]Tianzhu Zhang, Kui Jia, Changsheng Xu, Yi Ma, Narendra Ahuja: Partial Occlusion Handling for Visual Tracking via Robust Part Matching. CVPR 2014: 1258-1265. [15]Tianzhu Zhang, Bernard Ghanem, Si Liu, Changsheng Xu, Narendra Ahuja: Low-Rank Sparse Coding for Image Classification. ICCV 2013: 281-288. [16]Tianzhu Zhang, Bernard Ghanem, Si Liu, Narendra Ahuja: Robust Visual Tracking via Multi-task Sparse Learning. CVPR 2012: 2042-2049. [17]Tianzhu Zhang, Bernard Ghanem, Si Liu, Narendra Ahuja: Low-Rank Sparse Learning for Robust Visual Tracking. ECCV (6) 2012: 470-484. [18]Tianzhu Zhang, Hanqing Lu, Stan Z. Li: Learning Semantic Scene Models by Object Classification and Trajectory Clustering. CVPR 2009: 1940-1947. [19]Tianzhu Zhang, Changsheng Xu, Guangyu Zhu, Si Liu, Hanqing Lu: A Generic Framework for Event Detection in Various Video Domains. ACMMultimedia 2010: 103-112. [20]Junyu Gao, Tianzhu Zhang, Changsheng Xu, SMART: Joint Sampling and Regression for Visual Tracking IEEE Transactions on Image Processing (TIP), 2019. [21]Xinhong Ma, Tianzhu Zhang, Changsheng Xu: Deep Multi-Modality Adversarial Networks for Unsupervised Domain Adaptation. IEEE Transactions on Multimedia (TMM), 2019 [22]Junyu Gao, Tianzhu Zhang, Changsheng Xu: Graph Convolutional Tracking. CVPR 2019. [23] Xinhong Ma, Tianzhu Zhang, Changsheng Xu: GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation. CVPR 2019. [24]Feifei Zhang, Tianzhu Zhang, Qirong Mao, Changsheng Xu: Joint Pose and Expression Modeling for Facial Expression Recognition. CVPR 2018: 3359-3368. [25]Adel Bibi, Tianzhu Zhang, Bernard Ghanem: 3D Part-Based Sparse Tracker with Automatic Synchronization and Registration. CVPR 2016:1439-1448.