About

3 minute read

Hello, Yuhao here! Starting September 2023, I join SRI lab at ETH Zürich as a PhD student. I got my MSc in Computer Science majoring Machine Intelligence and minoring Theoretical Computer Science at ETH Zürich, and my BSc in Mathematics and Applied Mathematics with a dual degree in Finance at CKC Honors College, Zhejiang University. I am lucky to work with:

  • Dr. G. Zhou, who leads me to the fantastic world of macroeconomics and encouraged me during my early stage of research, which benefits me deeply even after I left the field;
  • Dr. S. Ji and Dr. X. Zhang, who showed me the excitement and challenges of trustworthy artificial intelligence and offered valuable guidance and suggestions for years;
  • Dr. Y. Zhang, who has always been kind and helpful, especially when I feel lost;
  • Dr. F. Yang, who welcomed me since my first semester in a foreign country and continues to help;
  • Dr. M. Vechev, who shares numerous good days and continues to be a good friend.

My favorite formula includes:

\[e^{\pi i}=-1\] \[\hat{f}(\xi) = \int_{-\infty}^{\infty}f(x)e^{2\pi i x\xi}dx\]

Find my CV here.

Feel free to contact me if you have any questions or interests.

Working Ethics

I solemnly swear that I put 120% effort into making the proofs in all my publications, including those I am not the (co-)first author, correct, rigorous and readable.

Research Interests

I am interested in making AI generally safe and trustworthy. Meanwhile, I am trying to use the current “unsafe” AI to do good things, e.g., advancing various science domains.

Publication

Equal contributions are marked by *. All published works are open-sourced (if applicable) on GitHub and the manuscripts are publicly accessible on Arxiv.

Trustworthy Artificial Intelligence

Artificial Intelligence for Science

Talk

  • Training Certifiably Robust Neural Networks. January 2024 at Zhejiang University, China. Slide

Teaching

Community Contribution

Review for NeurIPS (since 2024, acknowledged as Top Reviewers 2024), ICLR (since 2025), TMLR (since 2025), ICML (since 2025).

Learning

I made public some of my cheatsheets, based on standard textbooks and courses provided by ETH Zürich, for personal reference and general interest. Many thanks to the original authors that enlightened me with the great knowledge.