About Me

Hi! I’m Haiyang Wang (汪海洋), the 5th year Ph.D at Peking University (PKU), advised by Prof. Liwei Wang. Before that, I received my bachelor’s degree from the Zhiyuan College in Shanghai Jiaotong University (SJTU) at 2020, supervised by Prof. Cewu Lu. I also work very close with Shaoshuai Shi. I was fortunate to work with Prof. Bernt Schiele at Max Planck Institute for Informatics, Prof. Jifeng Dai at Sensetime, and Prof. Wei Wang at UCLA.

My research interests focus on machine learning and computer vision, particularly in exploring machine learning for AGI. This includes fundamental neural network designing, large language modeling, unified visual modeling, multi-modal understanding, and other topics related to foundation models.

Here are several research areas I worked on:

  • Developing fundamental neural networks for foundation models.
  • Creating a unified computational framework for general visual modeling.
  • Advancing 3D scene understanding for autonomous driving and robotics.
  • Exploring Embodied AI through reinforcement learning techniques.

If you are interested in collaborating with me or want to have a chat, always feel free to contact me through e-mail (wanghaiyang [at] stu.pku.edu [dot] cn).

📝 Selected Publications

* means equal contribution.

🎖 Selected Awards

  • National Scholarship (博士国家奖学金), 2022-2023. Awarded annually to top 1 student in all grades of Center for Data Science, Peking University.
  • National Scholarship (博士国家奖学金), 2021-2022. Awarded annually to top 1 student in all grades of Center for Data Science, Peking University.
  • Excellent Student at Shanghai Jiaotong University, 2020. Top 5% of graduated students.

📝 Experiences

💬 Invited Talks

🏫 Academic Services

  • Reviewer for NeurIPS’21, CVPR’22, ECCV’22, ICML’22, NeurIPS’22, CVPR’23, ICML’23, ICCV’23, NeurIPS’23, IROS’23, CVPR’24, ICML’24, NeurIPS’24 (Top Reviewer), ICLR’25