Rui Ai
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Ph.D. Student, |
About me
I am a second-year Ph.D. student at the Institute for Data, Systems, and Society (IDSS) at MIT. Previously, I earned a Bachelor's degree in Statistics from the School of Mathematical Sciences and a Bachelor's degree in Economics from the National School of Development at Peking University. Here is a brief CV about me.
Research
My research interests include
Reinforcement Learning
Algorithmic Game Theory
Large Language Models
If you share similar interests and would like to discuss or explore potential collaborations, please feel free to reach out.
Recent Publications
*: equal contribution or alphabetic ordering.
Xun Deng, Han Zhong, Rui Ai, Fuli Feng, Zheng Wang and Xiangnan He, "Less is More: Improving LLM Alignment via Preference Data Selection", NeurIPS 2025 (Spotlight). [arXiv]
Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang and Haifeng Xu, "An Instrumental Value for Data Production and its Application to Data Pricing", ICML 2025. [arXiv]
Haichen Hu, Rui Ai, Stephen Bates and David Simchi-Levi, "Contextual Online Decision Making with Infinite-Dimensional Functional Regression", ICML 2025. [arXiv]
Jiachen Hu, Rui Ai, Han Zhong, Xiaoyu Chen, Liwei Wang, Zhaoran Wang and Zhuoran Yang, "The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability", ICML 2025. [arXiv]
Rui Ai, David Simchi-Levi and Feng Zhu, "Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition", NeurIPS 2024. [SSRN]
Zhaohua Chen, Rui Ai, Mingwei Yang, Yuqi Pan, Chang Wang and Xiaotie Deng, "Contextual Decision-Making with Knapsacks Beyond the Worst Case", NeurIPS 2024. [arXiv]
Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang and Michael I. Jordan, "A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design", 2022. [arXiv]
Rui Ai*, Chang Wang*, Chenchen Li, Jinshan Zhang, Wenhan Huang and Xiaotie Deng, "No-regret Learning in Repeated First-Price Auctions with Budget Constraints", 2022. [arXiv]