Shijie Wang (王世杰)
Ph.D. Student

Department of Computer Science, Brown University

Office: Room 453, 115 Waterman Street, Providence, RI 02912
Email: shijie_wang [AT] brown [DOT] edu (prior)        wang98thu [AT] gmail [DOT] com

[Google Scholar] [GitHub] [LinkdeIn] [Twitter]

Short bio | Education | News | Papers | Experience | Awards | Service

Short Bio

I am a third year CS Ph.D. student at Brown University working with Prof. Chen Sun. Previously, I also worked in Google Research and Google Deepmind as a student researcher. I obtained my bachelor degree in software engineering at Tsinghua University in 2021.

My research interest is multimodal learning and video understanding. In detail, I'm especially interested in squeezing knowledge from large-scale foundation models for downstream multimodal tasks and structural concept learning for vision-language models. Feel free to contact me for collaborations and casual chats.

Education

News

Papers

    [6] Learning Visual Grounding from Generative Vision and Language Model
    Shijie Wang, Dahun Kim, Ali Taalimi, Chen Sun, and Weicheng Kuo
    Under Review

    [5] Vamos: Versatile Action Models for Video Understanding [Link] [Website] [Code]
    Shijie Wang, Qi Zhao, Minh Quan Do, Nakul Agarwal, Kwonjoon Lee, and Chen Sun
    ECCV 2024

    [4] AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos? [Link] [Website] [Code]
    Qi Zhao*, Shijie Wang*, Ce Zhang, Changcheng Fu, Minh Quan Do, Nakul Agarwal, Kwonjoon Lee, and Chen Sun
    ICLR 2024

    [3] Object-centric Video Representation for Long-term Action Anticipation [Link] [Code]
    Ce Zhang*, Changcheng Fu*, Shijie Wang, Nakul Agarwal, Kwonjoon Lee, Chiho Choi, and Chen Sun
    WACV 2024

    [2] Goal-Conditioned Predictive Coding as an Implicit Planner for Offline Reinforcement Learning [Link] [Website] [Code]
    Zilai Zeng, Ce Zhang, Shijie Wang, and Chen Sun
    NeurIPS 2023

    [1] Pose Recognition with Cascade Transformers [Link] [Code]
    Ke Li*, Shijie Wang*, Xiang Zhang*, Yifan Xu, Weijian Xu, and Zhuowen Tu
    CVPR 2021

Experience

Awards

  • 2022, 3rd Prize of Ego4D Object State Change Classification Challenge, ECCV 2022.
  • 2021, Outstanding Graduate Awards, Tsinghua University.
  • 2018 & 2019 & 2020, Scholarship for Academic Excellence, Tsinghua Univeristy.
  • 2019, Fisrt Prize in Student Research Training Program, Tsinghua University.
  • 2019, Member of Tsinghua University Initiative Scientific Research Program (funding: 30,000¥).
  • 2018, Champion of Yuehan Ma Campus Football Cup, Tsinghua University.

Service

Conference Reviewer:

  • The International Conference on Learning Representations (ICLR)        2024
  • The International Conference on Machine Learning (ICML)        2024
  • The Conference on Neural Information Processing Systems (NeurIPS)        2023
  • The Conference on Computer Vision and Pattern Recognition (CVPR)        2022, 2023
  • The International Conference on Computer Vision (ICCV)        2023
  • The European Conference on Computer Vision (ECCV)        2022, 2024
  • AAAI Conference on Artificial Intelligence (AAAI)        2023, 2024
  • Winter Conference on Applications of Computer Vision (WACV)        2023

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