Lin Chen

Email: chenlin91313[AT] gmail [DOT] com 


I received my B.Sc. (summa cum laude) degree in Electronic Information Science and Technology from the Nankai University (NKU) , Tianjing, China, in 2015.  I am currently pursuing the Ph.D. degree with the Institution of Image Communication and Network Engineering, Department of Electronic Engineering, Shanghai Jiao Tong University (SJTU), Shanghai, China. My research interests include computer vision, deep learning, video surveillance, and person re-identification. I received the 1st award of wider challenge person search on ECCV2018, and best poster award on IFTC2018.   

Now I am a visiting student supervised by Prof. Ming-Hsuan Yang in the Department of Electrical Engineering and Computer Science, University of California at Merced.

Research Interests:

Deep Learning : Person re-identification, Data augmentation, Unsupervised learning, etc.


  • Lin Chen, Hua Yang, Ji Zhu, Qin  Zhou, Shuang Wu, and Zhiyong Gao. Deep spatial-temporal fusion network for video-based person reidentification. In Workshop of Computer Vision and Pattern Recognition Conference, pages 1478–1485, 2017.
  • Lin Chen, Hua Yang, Shuang Wu, and Zhiyong Gao. Data generation for improving person re-identification. In ACM Multimedia Conference, 2017.
  • Hua Yang,  Zhaoxi Chen, and Lin Chen. Reranking Optimization for Person Re-Identification under Temporal-spatial Information and Common Network Consistency Constraints. In Pattern Recognition Letters, 2018.
  • Lin Chen, Hua Yang, and Zhiyong Gao. Joint Attentive Spatial-Temporal Feature Aggregation for Video-Based Person Re-Identification. In IEEE access, 2019.
  • Lin Chen, Hua Yang, and Zhiyong Gao. Person Re-Identification From Virtuality to Reality via Modality Invariant Adversarial Mechanism. In Neurocomputing, 2020.
  • Lin Chen, Hua Yang, Qiling Xu and Zhiyong Gao. Harmonious Attention Network for Person Re-Identification via Complementarity between Groups and Individuals. In Neurocomputing, 2020.
  • Lin Chen, Hua Yang, and Zhiyong Gao. Comprehensive feature fusion mechanism for video-based person re-identification via significance-aware attention. In Signal Processing: Image Communication, 2020.


      09.2011-07.2015, National Endeavor Scholarship; Merits Student; Tianjin first prize in national undergraduate electronic design contest.       

        09.2015-Present, WIDER CHALLENGE PERSON SEARCH 1st award,ECCV2018;  Best Poster Award,IFTC2018.