I am a second-year Ph.D. student at MMLab, The Chinese University of Hong Kong, supervised by Prof. Wanli Ouyang. Before that, I received Master’s degree in 2023 and Bachelor’s degree in 2020 from Zhejiang University.

My research interest includes computer vision and multimodal foundation models. I have published multiple research works on representation learning, human-centric perception tasks. My focus now spans world models for egocentric vision and scientific multimodal foundation models.

Reach out to me via email for discussion or any opportunities.

🔥 News

  • 2025.09:   As the student project lead, I directed the development of SciReasoner, a scientific reasoning foundation model that explicitly elicits scientific reasoning and supports five capability families with up to 103 tasks. The model, instruct tuning datasets and the evaluation code are open-sourced at huggingface and github.
  • 2025.06:   EgoAgent and CMT are accepted by ICCV 2025.
  • 2025.05:   We will host the 1st Workshop on Interactive Human-centric Foundation Models at ICCV 2025, Honolulu, HI, USA.
  • 2025.03:   A survey about Human-Centric Foundation Models is accepted by IJCAI 2025.
  • 2025.03:   Hulk is accepted by TPAMI.
  • 2025.02:   Instruct-ReID++ is accepted by TPAMI.
  • 2025.02:   We release a survey paper on human-centric foundation models.
  • 2024.08:   I join MMLab, CUHK as a Ph.D. student.
  • 2024.07:   Dettoolchain is accepted by ECCV 2024.
  • 2024.03:   Instruct-ReID is accepted by CVPR 2024.
  • 2023.03:   UniHCP and HumanBanch are accepted by CVPR 2023.
  • 2022.09:   One paper is accepted by NeurIPS 2022.
  • 2022.07:   I am named as one of the Outstanding Reviewers of ICML 2022.
  • 2022.07:   One paper is accepted by ECCV 2022.
  • 2022.03:   One paper is accepted by CVPR 2022.

📝Selective Publications

(* equal contribution)

Tech Report
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SciReasoner: Laying the Scientific Reasoning Ground Across Disciplines

Yizhou Wang, Chen Tang, Han Deng, Jiabei Xiao, Jiaqi Liu, Jianyu Wu, Jun Yao, Pengze Li, Encheng Su, Lintao Wang, Guohang Zhuang, Yuchen Ren, Ben Fei, Ming Hu, Xin Chen, Dongzhan Zhou, Junjun He, Xiangyu Yue, Zhenfei Yin, Jiamin Wu, Qihao Zheng, Yuhao Zhou, Huihui Xu, Chenglong Ma, Yan Lu, Wenlong Zhang, Chunfeng Song, Philip Torr, Shixiang Tang, Xinzhu Ma, Wanli Ouyang, Lei Bai

pdf/code/data and model

TPAMI 2025
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Hulk: A universal knowledge translator for human-centric tasks

Yizhou Wang, Yixuan Wu, Shixiang Tang, Weizhen He, Xun Guo, Feng Zhu, Lei Bai, Rui Zhao, Jian Wu, Tong He, Wanli Ouyang

project/pdf/code

TPAMI 2025
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Instruct-ReID++: Towards Universal Purpose Instruction-Guided Person Re-identification

Weizhen He, Yiheng Deng, Yunfeng Yan, Feng Zhu, Yizhou Wang, Lei Bai, Qingsong Xie, Rui Zhao, Donglian Qi, Wanli Ouyang, Shixiang Tang

pdf/code

ECCV 2024
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Dettoolchain: A new prompting paradigm to unleash detection ability of mllm

Yixuan Wu, Yizhou Wang, Shixiang Tang, Wenhao Wu, Tong He, Wanli Ouyang, Philip Torr, Jian Wu

pdf/code

CVPR 2023
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Unihcp: A unified model for human-centric perceptions

Yuanzheng Ci, Yizhou Wang, Meilin Chen, Shixiang Tang, Lei Bai, Feng Zhu, Rui Zhao, Fengwei Yu, Donglian Qi, Wanli Ouyang

pdf/code

CVPR 2023
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Humanbench: Towards general human-centric perception with projector assisted pretraining

Shixiang Tang, Cheng Chen, Qingsong Xie, Meilin Chen, Yizhou Wang, Yuanzheng Ci, Lei Bai, Feng Zhu, Haiyang Yang, Li Yi, Rui Zhao, Wanli Ouyang

pdf/code

NeurIPS 2022
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Unsupervised object detection pretraining with joint object priors generation and detector learning

Yizhou Wang, Meilin Chen, Shixiang Tang, Feng Zhu, Haiyang Yang, Lei Bai, Rui Zhao, Yunfeng Yan, Donglian Qi, Wanli Ouyang

pdf

CVPR 2022
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Revisiting the Transferability of Supervised Pretraining: an MLP Perspective

Yizhou Wang, Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Donglian Qi, Wanli Ouyang

pdf

🎖 Honors and Awards

  • 2023.03 Excellent Postgraduate of Zhejiang University.
  • 2023.03 Youxian Sun Scholarship (Top 1 in the Master’s class of College of Electrical Engineering)
  • 2022.07 Outstanding Reviewers of ICML 2022.

📖 Educations

  • 2023.09 - Now, Ph.D., The Chinese University of Hong Kong, Hong Kong SAR, China.
  • 2020.09 - 2023.03, Master, Zhejiang University, Hangzhou, China.
  • 2016.09 - 2020.06, Undergraduate, Zhejiang University, Hangzhou, China.

💻 Internships

  • 2023.01 - Now, Shanghai AI Laboratory, China.
  • 2021.03 - 2022.12, SenseTime, China.