Wenliang Zhao

I am a second year Ph.D student in the Department of Automation at Tsinghua University, advised by Prof. Jiwen Lu and Prof. Jie Zhou. In 2020, I obtained my B.Eng. in the Department of Automation, Tsinghua University.

I am broadly interested in computer vision and deep learning. My current research focuses on interpretable machine learning and action recognition.

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  • 2021-07: 2 papers on video understanding and interpretable metric learning are accepted to ICCV 2021.
  • Publications

    * indicates equal contribution

    dise Global Filter Networks for Image Classification
    Yongming Rao, Wenliang Zhao, Zheng Zhu , Jiwen Lu , Jie Zhou
    Preprint, 2021
    [arXiv] [Code] [Project Page] [中文解读(By HappyAIWalker)]

    Global Filter Networks is a transformer-style architecture that learns long-term spatial dependencies in the frequency domain with log-linear complexity.

    dise DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
    Yongming Rao, Wenliang Zhao, Benlin Liu , Jiwen Lu , Jie Zhou , Cho-Jui Hsieh
    Preprint, 2021
    [arXiv] [Code] [Project Page] [知乎]

    We present a dynamic token sparsification framework to prune redundant tokens in vision transformers progressively and dynamically based on the input.

    dise Towards Interpretable Deep Metric Learning with Structural Matching
    Wenliang Zhao*, Yongming Rao*, Ziyi Wang, Jiwen Lu , Jie Zhou
    IEEE International Conference on Computer Vision (ICCV), 2021
    [arXiv] [Code]

    We present a framework (DIML) to add interpretability to metric learning and improve the performance of deep metric learning models.

    dise Group-aware Contrastive Regression for Action Quality Assessment
    Xumin Yu*, Yongming Rao*, Wenliang Zhao, Jiwen Lu , Jie Zhou
    IEEE International Conference on Computer Vision (ICCV), 2021

    We propose a new contrastive regression (CoRe) framework to learn the relative scores by pair-wise comparison, which highlights the differences between videos and guides the models to learn the key hints for assessment.

    Honors and Awards

  • 2020 Outstanding Undergraduate, Tsinghua University
  • 2018 Tang Lixin Scholarship, Tsinghua University
  • 2019 Tsinghua Presidential Award Nomination, Tsinghua University
  • 2018 Zheng Weimin Scholarship, Tsinghua University
  • 2018 Jiang Nanxiang Scholarship, Tsinghua University
  • 2018 1st prize in 36th Challenge Cup, Tsinghua University
  • 2017 Qualcomm Scholarship
  • 2017 National Scholarship, Tsinghua University
  • Academic Services

  • Journal Reviewer T-IP

  • Website Template

    © Wenliang Zhao | Last updated: August 3, 2021