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Ziqiao Wang (汪子乔)

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Associate Professor, PhD Advisor
School of Computer Science and Technology
Tongji University

Office: Room 230, Zhixin Building
Address: 4800 Cao'an Highway, Shanghai 201804, China
Email: ziqiaowang[AT]tongji[DOT]edu[DOT]cn
[CV][Google Scholar][X][BlueSky][Linkedin]

Grant me the serenity to accept the things I cannot change,
the courage to change the things I can,
and the wisdom to know the difference.
— Reinhold Niebuhr

About Me

I am an Associate Professor (with tenure) in the School of Computer Science and Technology at Tongji University. I am also affiliated with Shanghai Network Information Service Engineering Technology Research Center. In addition, I hold a Young Centurion Program (Position A) appointment at Tongji. In May 2024, I completed my PhD at the University of Ottawa, where I was fortunate to be advised by Prof. Yongyi Mao. During Summer and Fall 2019, I was a research intern at National Research Council Canada (NRC).

Research Interests

I am broadly interested in the theoretical foundations of machine learning, with a particular focus on statistical learning theory and information theory. My primary research area is generalization theory, including both in-distribution and out-of-distribution settings (e.g., domain adaptation), where I often apply information-theoretic analysis tools. More recently, I have also been exploring safety and trustworthiness in LLMs, including topics such as LLM hallucination, memorization, reasoning, alignment and watermarking.

Open Positions

I’m actively seeking highly self-motivated PhD and master's students with a solid foundation in mathematics or empirical deep learning skills to join my group. If you are interested in working with me, please do not hesitate to contact me to inquire about available positions.

New from 2026: I also hold a cross-appointment at the School of Economics and Management (SEM). If you are admitted to Tongji’s Master of Finance program, interested in AI4Finance, and looking for a master’s thesis advisor, feel free to contact me.

Due to the large volume of emails I receive, there may be delays in my response, and I may not be able to reply to every individual request. I apologize in advance for any inconvenience.

Upcoming Events and Recent News (Archive)

  • June 2026: Tutorial on “Information-Theoretic Analysis for Generalization of Learning Algorithms” at the Canadian Workshop on Information Theory (CWIT) 2026 in Halifax, Nova Scotia, Canada.

  • May 2026: Invited Talk at the 2026 Academic Forum on Standards-Led High-Quality Development of New Quality Productive Forces in Diabetes Rehabilitation, Shanghai.

  • May 2026: One Paper accepted at ICML 2026.

  • April 2026: Invited talk at the second FAIC conference, SUFE, Shanghai.

  • April 2026: Invited talk at the FAI seminar, online [Video].

  • Feb 2026: I was recognized as a notable Area Chair at ICLR this year.

  • Jan 2026: Three Papers [Paper 1, Paper 2, Paper 3] accepted at ICLR 2026.

Selected Publications (Full List)

* denotes equal contribution. \(\dagger\) denotes corresponding author(s).

Professional Service

Miscellaneous

My Erdős number is 4 (Wang \(\to\) Bu \(\to\) Polyanskiy \(\to\) Alon \(\to\) Erdős).