Tao Li

Assistant Professor at City University of Hong Kong .

tao-sky-dive.JPG

lastname.firstname at cityu.edu.hk

Bio: I am an assistant professor in the Department of Systems Engineering at City University of Hong Kong. I was a visiting researcher at the IBM Thomas J. Watson Research Center, collaborating with the Mathematical Sciences and Quantum Computing divisions in the summer of 2025. I earned my Ph.D. in Electrical and Computer Engineering from New York University, advised by Quanyan Zhu. My dissertation examines the triad of information, decision, and uncertainty in multi-agent learning. Prior to my doctoral studies, I conducted research in computational harmonic analysis under the supervision of Bin Han at the University of Alberta. I hold a B.S. in Mathematics, graduating summa cum laude from Xiamen University.

My Erdős Number is 3: Paul Erdős (0) coauthored “On chagnes of signs in infinite series” (1978) with Charles K. Chui (1), who coauthored “A dual-chain approach for bottom–up construction of wavelet filters with any integer dilation” (2012) with Bin Han (2), who coauthored “Directional compactly supported box spline tight framelets with simple geometric structure” (2019) with me (3).

Research Overview:

My research develops computational foundations of mulit-agent learning under complex information structures to achieve certified robustness and resilience in AI-integrated network systems across cyber, physical, and huamn layers.

Prospective Students: I am always actively looking for self-motivated students to join my research group as PhD students, research assistants (long/short-term/remote), and interns. We welcome applicants with

  • strong mathematical backgrounds in reinforcement learning, control and optimization, and game theory, and/or
  • practical experience with RL algorithms, large language models (foundation models), and simulation platforms in cybersecurity (e.g., those included in this repo), vehicular, and traffic simulation (e.g., CARLA and SUMO).

For more information on joining us, please check out the openings. Due to the high volume of messages I receive at my school email, please contact me at my personal address taoli.cityuhk@gmail.com to ensure I see your message. Alternatively, you can fill this form to let me know your interest in joining us.

news

Oct 27, 2025 I am co-organizing three sessions at this year INFORMS Annual Meeting. Please do stop by and join us!
  • [MA18] Computational Foundations of Leanring & Optimization in Multi-Agent Systems, Oct. 27, 8:00 - 9: 15 AM, A404
  • [MA21] From Streets to Systems: Cross-Domain Digital Twins in Urban Transportation, Oct. 27, 8:00 - 9: 15 AM, A404
  • [ME67] AI for Security & Resilience in Complex Networks, Oct. 27, 4:15 - 5:30 PM, B407
Sep 09, 2025 Following our previous work on cooperative traffic sensing, our new paper, recently accepted by IEEE T-ITS, connects sensing in the physical world to digital simulation in the cyber world, which provides the traffic manager with real-time predictive analytics that forecast future events.
Sep 01, 2025 :trophy: Call for Nominations! We are accepting nominations for IEEE Control Systems Society Security & Privacy Rising Star. The rising star symposium offers an online platform for early-career researchers (senior PhDs, Postdocs, Assistant Professors, and industry researchers), especially those who are going to be on the job market, to present their research, practice job talks, and seek collaboration and employment opportunities.
Aug 04, 2025 Our paper “Reinforcement Learning with Physics-Informed Symbolic Program Priors for Zero-Shot Wireless Indoor Navigation” won the best paper runner up at the Inductive Bias in Reinforcemnt Learning workshop at Reinforcement Learning Conference 2025.
May 21, 2025 Our work on game-theoretic transformer won the best paper runner up at the 17th workshop on Adaptive and Learning Agents, co-located with AAMAS. Using the idea of self-confirming equilibrium in game theory, we are making offline MARL agents more adaptable when facing out-of-distribution opponents.
Apr 17, 2025 I gave a talk on our recent efforts on multi-agent constrained correlated online learning for traffic sensing and digital twin synchronization at the 2025 annual East Coast Optimization Meeting (ECOM). Thank NSF Divison of Mathematical Sciences for the travel grant.
Mar 26, 2025 I gave a talk on the Traffic-responsive Title Camera (TTC) Surveillance system at NYU Urban Research Day. TTC aims to make NYC’s cameras (more than 15000) smarter for high-precision real-time traffic situational awareness.
Feb 24, 2025 I presented our recent effort on Risk-Aware Long-Short-Term Adaptive Twining in Urban Traffic Digital Twin at the Institute for Mathematical and Statistical Innovation at University of Chicago. Thank the IMSI and NSF Divison of Mathematical Sciences for the travel grant.
Jan 15, 2025 I was selected to attend the 2025 National Science Foundation (NSF) Networking Technology and Systems Early-Career Investigators (NeTS-ECI) Workshop, where I talked about emerging challenges opportunities in network security.
Nov 21, 2024 The IEEE Technical Committee on Cognitive Networks has recently recognized me as a Rising Star in AI and Machine Learning in Security.
Jul 26, 2024 I had a wonderful time in the coordinated science laboratory at UIUC this summer. Heartfelt thanks to Prof.Başar for his hosting!

selected publications