Zhang, Shiliang


Zhang, Shiliang

Associate Professor with Tenure

Research Interest: Multimedia Information Retrieval, Computer Vision, Pattern Recognition



Short Bio:

Shiliang Zhang received the Ph.D. degree in Computer Science from the Institute of Computing Technology, Chinese Academy of Sciences. He was a Post-Doctoral Scientist with NEC Laboratories America and a Post-Doctoral Research Fellow with The University of Texas at San Antonio. He is currently an Associate Professor with Tenure with the Department of Computer Science, Peking University. His research interests include large-scale image retrieval and computer vision.

He has authored or co-authored over 80 papers in journals and conferences, including IJCV, IEEE T-PAMI, T-IP, T-NNLS, T-CSVT, ACM Multimedia, NeurIPS, ICCV, CVPR, ECCV, AAAI, IJCAI, etc., with total citations 5700+. He was a recipient of the Outstanding Doctoral Dissertation Awards from the Chinese Academy of Sciences (CAS) and Chinese Computer Federation, the President Scholarship from the CAS, the NEC Laboratories America Spot Recognition Award, the NVidia Pioneering Research Award, and the Microsoft Research Fellowship. He was a recipient of the Top 10% Paper Award at the IEEE MMSP 2011. He served as the Associate Editor of CVIU and IET Computer Vision, Guest Editor of ACM TOMM, Area Chair of CVPR, AAAI, ICPR, and VCIP, and Co-Chair or TPC Co-chair of a series of workshops and tutorials on fine-grained visual recognition in ICME, CVPR, FG, ICPR, etc. His research is supported by the Natural Science Foundation of China, the National Science Foundation of Beijing, the Ministry of Science and Technology of China, and Microsoft Research.

Selected Publications:

[1] Jianzhong He,Shiliang Zhang*, Ming Yang, Yanhu Shan, and Tiejun Huang. BDCN: Bi-Directional Cascade Network for Perceptual Edge Detection,IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), 2020.

[2] Jianing Li,Shiliang Zhang*, Qi Tian, Meng Wang, and Wen Gao. Pose-Guided Representation Learning for Person Re-Identification.IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), 2019.

[3] Chi Su, Fan Yang,Shiliang Zhang*, Qi Tian, Larry S. Davis, and Wen Gao. Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification.IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 40, no. 5, pp. 1167-1181, May 2018.

[4] Shiliang Zhang*, Ming Yang, Xiaoyu Wang, Yuanqing Lin, and Qi Tian. Semantic-Aware Co-Indexing for Image Search. IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 37 no.12, pp. 2573-2587, Dec. 2015.

[5] Shangzhi Teng,Shiliang Zhang*, Qingming Huang, and Nicu Sebe. Viewpoint and Scale Consistency Reinforcement for UAV Vehicle Re-Identification.International Journal on Computer Vision (IJCV), vol. 129, pp. 719-735, 2021.

[6] Jianming Ye, Jingdong Wang, and Shiliang Zhang*. Distillation Guided Residual Learning for Binary Convolutional Neural Networks.IEEE Trans. on Neural Networks and Learning Systems (T-NNLS), 2021

[7] Jianing Li, Shiliang Zhang*, and Tiejun Huang. Multi-scale Temporal Cues Learning for Video Person Re-Identification, IEEE Trans. on Image Processing (T-IP), vol. 29, pp. 4461-4473, Feb. 2020.

[8] Dongkai Wang, Shiliang Zhang*, and Gang Hua. Robust Pose Estimation in Crowded Scenes with Direct Pose-Level Inference.Thirty-fifth Conference on Neural Information Processing Systems(NeurIPS) 2021.

[9] Shiyu Xuan andShiliang Zhang*. Intra-Inter Camera Similarity for Unsupervised Person Re-Identification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

[10] Dongkai Wang andShiliang Zhang*. Unsupervised Person Re-identification via Multi-label Classification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.