Dr. Jun XU
Associate Professor
School of Statistics and Data Science
Nankai University
Tianjin, China
Office: Room 345, Fansun Building
Email: csjunxu [at] nankai [dot] edu [dot] cn

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News

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  • Current Research Interests

  • Machine Learning: low-power model structure, model compression, network optimization.
  • Computer Vision: 2D/3D imaging and understanding, digital dentistry.
  • Work Experience

  • 2021.12--Now: Associate Professor, School of Statistics and Data Science, Nankai University, Tianjin, China.
  • 2021.1--2021.12: Assistant Professor, School of Statistics and Data Science, Nankai University, Tianjin, China.
  • 2019.10--2020.12: Assistant Professor, College of Computer Science, Nankai University, Tianjin, China.
  • 2018.09--2019.10: Research Scientist, Inception Institute of Artificial Intelligence, Abu Dhabi, UAE.
  • Education

  • 2018.06--2018.09: Visiting Student, Simon Fraser University, Vancouver, Canada.
  • 2018.05--2018.06: Visiting Student, Tsinghua Shenzhen International Graduate School, Shenzhen, China.
  • 2014.07--2018.09: Ph.D., Department of Computing, The Hong Kong Polytechnic University.
  • 2011.09--2014.06: M.Sc., School of Mathematics Science, Nankai University.
  • 2007.09--2011.06: B.Sc., School of Mathematics Science, Nankai University.
  • Recently accepted

    Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks
    Xiaotao Hu, Jun Xu*, Shuhang Gu, Ming-Ming Cheng, Li Liu
    European Conference on Computer Vision (ECCV), 2022. (Oral Presentation)
    [Paper] [Supp] [Github]


    Incremental Cross-View Mutual Distillation for Self-supervised Medical CT Synthesis
    Chaowei Fang#, Liang Wang#, Dingwen Zhang, Jun Xu, Yixuan Yuan, Junwei Han
    Computer Vision and Pattern Recognition (CVPR), 2022.
    [Paper] [Supp] [Arxiv] [Github]


    MetaKernel: Learning Variational Random Features with Limited Labels
    Yingjun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees GM Snoek
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accept.
    [Paper] [Arxiv] [Github]


    Temporal Modulation Network for Controllable Space-Time Video Super-Resolution
    Gang Xu, Jun Xu*, Zhen Li, Liang Wang, Xing Sun, Mingming Cheng
    Computer Vision and Pattern Recognition (CVPR), 2021.
    [Paper] [Supp] [Arxiv] [Github]

    All things are difficult before they are easy.
    — Thomas Fuller