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Shijie Wang (王世杰) |
Short Bio
I am a third year CS Ph.D. student at Brown University working with Prof. Chen Sun and a student researcher at Google Deepmind. Previously, I obtained my bachelor degree in software engineering at Tsinghua University in 2021, and worked as a student researcher in Google Research in 2022.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. I'm looking for research-related internship opportunities in 2024 summer, looking forward to any potential opportunities!
Education
- 09/2021 - NOW Ph.D. in Department of Computer Science, Brown University
- 08/2016 - 06/2021 B.E. in School of Software, Tsinghua University. (Outstanding Graduate)
News
- 10/2023, I started to work at Google Deepmind as a Student Researcher.
- 06/2023, I became a PhD candidate.
- 10/2022, I got 3rd prize in Ego4D Object State Change Classification Challenge.
- 05/2022, I started to work at Google as a Student Researcher.
- 08/2021, I moved to Providence and started my PhD career at Brown University!
- 06/2021, I guaduated from Tsinghua University as an outstanding undergraduate!
- 03/2021, One paper was accepted in CVPR 2021!
Papers
[5] Vamos: Versatile Action Models for Video Understanding
[Link]
[Website]
Shijie Wang, Qi Zhao, Minh Quan Do, Nakul Agarwal, Kwonjoon Lee, and Chen Sun
Under Review
[4] AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
[Link]
[Website]
Qi Zhao*, Shijie Wang*, Ce Zhang, Changcheng Fu, Minh Quan Do, Nakul Agarwal, Kwonjoon Lee, and Chen Sun
Under Review
[3] Object-centric Video Representation for Long-term Action Anticipation
[Link]
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]
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
- 09/2023 - Now Student Researcher at Google Deepmind.
- 05/2022 - 12/2022 Student Researcher at Google Research.
- 07/2020 - 03/2021 Research Assistant at UCSD with Prof. Zhuowen Tu.
- 07/2019 - 09/2019 Machine Learning Intern, Kwai.
- 12/2018 - 06/2020 Research Assistant at Tsinghua with Prof. Mingsheng Long.
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 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
- AAAI Conference on Artificial Intelligence (AAAI) 2023, 2024
- Winter Conference on Applications of Computer Vision (WACV) 2023
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