Assistant Professor

School of Information Science and Technology
ShanghaiTech University
393 Middle Huaxia Rd
Shanghai 201210, China
Room 1c-303b, SIST Building
E-mail: wangjingya@shanghaitech.edu.cn

[Google Scholar]

I am a tenure-track assistant professor in the School of Information Science and Technology at ShanghaiTech University.

I received the PhD degree from the Queen Mary University of London (QMUL) in 2018, supervised by Prof. Shaogang Gong. After that, I was a Postdoc Researcher at the University of Sydney (USYD), working with Prof. Dacheng Tao. In Nov 2020, I joined ShanghaiTech as a tenure-track assistant professor. My research interests include computer vision, machine learning, and artificial intelligence. Particularly, my current research focuses on human centered visual perception, inference and cognition.


  • One Postdoc position available on computer vision, feel free to contact me.
  • Prospective Students: I am always looking for outstanding and self-motivated students to work together on human-object interaction,tracking and re-identification, few-shot learning and various machine learning topics. Please email me with your CV and transcripts if you are interested. [Graduate_Admission].
  • I am also seeking Research Assistants (undergraduate/graduate level), and Visiting Interns/Students, feel free to contact me.
    1. Online Multiple Object Tracking with Cross-Task Synergy
      Song Guo*, Jingya Wang*, Xinchao Wang, Dacheng Tao
      In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
        [PDF]   [Slide]   [Poster]   [Code]   [Bibtex]  


    2. Neural Free-Viewpoint Performance Rendering under Complex Human-object Interactions
      Guoxing Sun; Xin Chen; Yizhang Chen; Anqi Pang; Pei Lin; Yuheng Jiang; Lan Xu; Jingyi Yu; Jingya Wang
      ACM Multimedia (ACM MM Oral), 2021.
        [PDF]   [Bibtex]  


    3. Adaptive Graph Convolutional Network for PolSAR Image Classification
      Fang Liu, Jingya Wang, Xu Tang, Jia Liu, Xiangrong Zhang
      IEEE Transactions on Geoscience and Remote Sensing, 2021.
        [PDF]   [Bibtex]  


    4. Symbiotic Adversarial Learning for Attribute-Based Person Search
      Yutong Cao*, Jingya Wang*, Dacheng Tao
      In Proc. European Conference on Computer Vision (ECCV), 2020 .
        [PDF]   [Slide]   [Code]   [Bibtex]  


    5. Pose-guided Visible Part Matching for Occluded Person ReID
      Shang Gao, Jingya Wang, Huchuan Lu, Zimo Liu
      In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
        [PDF]   [Bibtex]  


    6. Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification
      Zimo Liu*, Jingya Wang*, Shaogang Gong, Huchuan Lu, Dacheng Tao
      In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR Oral), 2019.
        [PDF]   [Bibtex]  


    7. Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification
      Jingya Wang, Xiatian Zhu, Shaogang Gong, Wei Li
      In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR),SALT LAKE CITY, US, June 2018.
        [PDF]   [Poster]   [Bibtex]   [CVPR Daily]   [Computer Vision News]  


    8. Person Reidentification with Activity Predictionbased on Hierarchical Spatial-Temporal Model
      Li Minxian, Fumin Shen, Jingya Wang, Chao Guan, Jinhui Tang
      Neurocomputing, Jan 2018; 275:1200-7.
        [PDF]   [Bibtex]  


    9. Attribute Recognition by Joint Recurrent Learning of Context and Correlation
      Jingya Wang, Xiatian Zhu, Shaogang Gong, Wei Li
      In Proc. IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017.
        [PDF]   [Poster]   [Bibtex]  


    10. Discovering Visual Concept Structure with Sparse and Incomplete Tags
      Jingya Wang, Xiatian Zhu, Shaogang Gong
      Artificial Intelligence (AI), Vol 250, Pages 16–36, September 2017.
        [PDF]   [DOI]   [Bibtex]  


    11. Video Semantic Clustering with Sparse and Incomplete Tags
      Jingya Wang, Xiatian Zhu, Shaogang Gong
      The Thirtieth AAAI Conference on Artificial Intelligence (AAAI), 2016.
        [PDF]   [Poster]   [Bibtex]  


    Postgraduate Course at ShanghaiTech for the following courses:
  • CS272 - Computer Vision II (Spring 2021)
  • Advanced Topic in Coputer Vision (Spring 2021)

  • Tutorial: " Deep Learning for Person Re-identification" in IEEE VCIP 2019
  • Tutorial: "Transfer Learning" in ACPSEM Machine Learning Workshop 2019
  • Tutorial: "Machine Learning Tutorial" in IEEE NSS/MIC 2018
  • Talk: “Attribute Learning in Big Data” in ACCV Workshop 2018

  • Senior Program Committee Member:
  • Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI)
  • Journal Reviewer:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • International Journal of Computer Vision (IJCV)
  • IEEE Transactions on Image Processing (TIP)
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • ACM Transactions on Knowledge Discovery from Data (TKDD)
  • Pattern Recognition
  • IEEE Transactions on Cybernetics
  • Conference Reviewer:
  • Conference on Computer Vision and Pattern Recognition (CVPR)
  • International Conference on Computer Vision (ICCV)
  • European Conference on Computer Vision (ECCV)
  • Conference on Neural Information Processing Systems (NeurIPS)
  • International Conference on Machine Learning (ICML)
  • ACM Multimedia (ACM MM)