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I am currently final year PhD student in Computer Vision Laboratory at QMUL, supervised by Prof. Shaogang Gong and Dr. Tao Xiang. Before joining the Computer Vision Group in QMUL, I had pursuing M.Sc at Nanjing University of Science and Technology supervised by Prof. Chunxia Zhao.

My general research interests include computer vision and pattern recognition. Currently, I am working on correlated interpretation of visual objects and attributes.


  1. 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]   [Bibtex]  


  2. 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]  


  3. 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]  


  4. 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]  


  5. 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]  


  1. CVPR Doctoral Consortium Travel Award 2018
  2. ICCV Student Volunteer 2017
  3. QMUL Postgraduate Research Fund 2017
  4. Travel Grant for European Vision and Language Integrating Summer School 2017
  5. AAAI Student Scholarship 2016
  6. Merit Student of Jiangsu Province 2011
Teaching assistant at QMUL for the following courses:
  • ECS797P - Machine Learning for Visual Data Analysis
  • ECS510U - Algorithms and Data Structures in an Obeject-Oriented Framework