About Me

Hi! I’m Bohang Zhang (张博航), a final-year Phd. student at Peking University, advised by Prof. Liwei Wang. I also work closely with Prof. Di He. Before starting Ph.D., I completed my undergraduate studies at School of the Gifted Young (少年班) in Xi’an Jiaotong University, majoring in Computer Science.

My main research area lies in studying the foundations of machine learning, especially the expressive power of neural networks. My work provides insights into the strengths and weaknesses of fundamental deep learning models and algorithms (often through a computer science perspective), based on which I design new (provably better) models/algorithms. Here are several research areas I am interested in:

  • Understanding the power and limitations of large language models (LLMs) in complex reasoning.
  • Analyzing the expressive power of graph neural networks (GNNs), providing guaidance on the GNNs design principles that enable them to effectively represent the necessary graph structural information.
  • Designing powerful Lipschitz neural networks with certified robustness gurantees, i.e. achieving provable robustness under adversarial attacks.
  • Previously, I was also interested in designing and analyzing optimization algorithms for efficient neural network training.

If you are interested in collaborating with me or want to have a chat, always feel free to contact me through e-mail or Wechat.

📝 Publications

* means equal contribution. See the Publications page for more details.

🎖 Selected Awards

  • ICLR 2023 Outstanding paper award (top 4/4966). [Link]
  • ICLR 2024 Outstanding paper award honorable mention (top 17/7262). [Link]
  • Bytedance Scholarship, 2023. [Link] [Certificate]
  • Principal Scholarship, 2019-2020, 2020-2021, 2021-2022, 2022-2023, 2023-2024. Awarded annually to top 1 student in the same grade in School of Artificial Intelligence, Peking University.
  • ACM ICPC World Finalist (ranking 41/135), Porto Portugal, 2019. [Certificate][Certificate]
  • Beijing outstanding PhD graduates, 2024.
  • ACM ICPC East Asia Continent Final Gold Award (ranking 8/382), Xi’an China, 2018. [Certificate][Certificate]
  • ACM ICPC 2nd Runner up (Gold Award, ranking 4/298), Jiaozuo China, 2018. [Certificate]
  • Top-10 outstanding student pioneers (ranking 2/10), 2019. Awarded annually to a total of 10 undergraduate students across Xi’an Jiaotong University.

💬 Invited Talks

🏫 Professional Services

  • Workshop Organizer for ICLR 2024.
  • Reviewer for ICML 2022, NeurIPS 2022 (top reviewer), ICLR 2023, CVPR 2023, ICML 2023, VFVML 2023, NeurIPS 2023 (top reviewer), ICLR 2024, ICML 2024.
  • Reviewer for Transactions on Pattern Analysis and Machine Intelligence (TPAMI).

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