Hi! I’m a second-year PhD student in Computer Science at Harvard University, where I am fortunate to be advised by Prof. Milind Tambe and Prof. Yiling Chen. My research interests lie at the intersection of machine learning, theoretical computer science, and economics. In particular, I am interested in investigating how LLMs reshape human decision-making and drive the evolution of information dynamics within social systems, as well as leveraging game theory and incentive design to develop robust, trustworthy, and socially aligned AI agents.

I obtained my bachelor’s degree at Peking University, where I was fortunate to be advised by Prof. Xiaotie Deng and Prof. Yuqing Kong. Additionally, I had a wonderful summer research experience at CMU, working with Prof. Steven Wu, Prof. Haifeng Xu (UChicago), and Prof. Shuran Zheng (Tsinghua University).

Working Papers

• Learning to Persuade a Biased Receiver
  Yuqi Pan, Sadie Zhao, Milind Tambe, Yiling Chen
  [arxiv]
• LLM Active Alignment: A Nash Equilibrium Perspective
  Tonghan Wang*, Yuqi Pan*, Xinyi Yang*, Yanchen Jiang, Milind Tambe, David C. Parkes
  [arxiv]

Publications

• Adaptive Multi-Round Allocation with Stochastic Arrivals
  Yuqi Pan*, Davin Choo*, Haichuan Wang, Milind Tambe, Alastair Van Heerden, Cheryl Johnson
  ICML 2026
  [arxiv]
• Beyond Majority Voting: LLM Aggregation by Leveraging Higher-Order Information
  Rui Ai*, Yuqi Pan*, David Simichi-Levi, Milind Tambe, Haifeng Xu
  ICML 2026
  [arxiv]
• Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing
  Davin Choo*, Yuqi Pan*, Tonghan Wang, Milind Tambe, Alastair van Heerden, Cheryl Johnson
  NeurIPS 2025
  [arxiv]
• Differentially Private Bayesian Persuasion
  Yuqi Pan, Zhiwei Steven Wu, Haifeng Xu, Shuran Zheng
  The Web Conference (WWW) 2025 (Oral)
  [arxiv]
• Robust Optimization with Diffusion Models for Green Security
  Lingkai Kong, Haichuan Wang, Yuqi Pan, Cheol Woo Kim, Mingxiao Song, Alayna Nguyen, Tonghan Wang, Haifeng Xu, Milind Tambe
  UAI 2025
  [arxiv]
• Finite-Horizon Single-Pull Restless Bandits: An Efficient Index Policy For Scarce Resource Allocation
  Guojun Xiong, Haichuan Wang, Yuqi Pan, Saptarshi Mandal, Sanket Shah, Niclas Boehmer, Milind Tambe
  AAMAS 2025
  [arxiv]
• Contextual Decision-Making with Knapsacks beyond Worst Cases
  Zhaohua Chen, Rui Ai, Mingwei Yang, Yuqi Pan, Chang Wang, Xiaotie Deng
  NeurIPS 2024
  [arxiv]
• Robust Decision Aggregation with Second-order Information
  Yuqi Pan, Zhaohua Chen, Yuqing Kong
  The Web Conference (WWW) 2024
  [arxiv]
• Dynamic Budget Throttling in Repeated Second-Price Auctions
  Zhaohua Chen*, Chang Wang*, Qian Wang*, Yuqi Pan, Zhuming Shi, Zheng Cai, Yukun Ren, Zhihua Zhu, Xiaotie Deng
  AAAI 2024
  [arxiv]
• Altruism, Collectivism and Egalitarianism: On a Variety of Prosocial Behaviors in Binary Networked Public Goods Games
  Jichen Li, Xiaotie Deng, Yukun Cheng, Yuqi Pan, Xuanzhi Xia, Zongjun Yang, Jan Xie
  AAMAS 2023
  [paper]

* indicates equal contribution.

Teachings

• 2026 Spring: AI for Social Impact, Harvard University (TF)
• 2025 Fall: Planning and Learning Methods in AI, Harvard University (TF)
• 2023 Fall: Discrete Mathematics and Structures, PKU (TA)
• 2023 Spring: Study and Practice on Topics of Frontier Computing, PKU (TA)
• 2022 Fall: Discrete Mathematics and Structures, PKU (TA)

Last updated: May 2026