About Me

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

My main research area lies in solving fundamental problems in machine learning, such as the expressive power, robustness, and optimization of neural networks, with special interest in studying these problems from a computer science perspective. Currently, my main research focus lies in the following aspects:

  • Understanding and Analyzing the expressive power of graph neural networks (GNNs), or more broadly, equivariant neural networks for geometric deep learning.
  • Designing 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

  • ACM ICPC World Finalist (ranking 41/135), Porto Portugal, 2019. [Certificate][Certificate]
  • 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

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

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