My name is Jingwu Tang (唐静吾). I am a second-year PhD student in School of Computer Science at Carnegie Mellon University, where I am fortunate to be advised by Prof. Steven Wu and Prof. Fei Fang. Before that, I obtained my bachelor’s degree at Turing class, Peking University. During my undergraduate study, I was fortunate to be advised by Prof. Xiaotie Deng. My research interest lies in reinforcement learning, game theory and multi-calibration.

Publications

• Multi-Agent Imitation Learning: Value is Easy, Regret is Hard.
  Jingwu Tang, Gokul Swamy, Fei Fang, Zhiwei Steven Wu. NeurIPS, 2024. arXiv.
• Generating Private Synthetic Data with Genetic Algorithms.
  Terrance Liu*, Jingwu Tang*, Giuseppe Vietri*, Zhiwei Steven Wu. ICML, 2023. arXiv.
• A Context-Integrated Transformer-Based Neural Network for Auction Design.
  Zhijian Duan, Jingwu Tang, Yutong Yin, Zhe Feng, Xiang Yan, Manzil Zaheer, and Xiaotie Deng. ICML, 2022. arXiv.

Service

• Reviewer: AAAI 2024, NeurIPS 2024, ICLR 2025
• Workshop Reviewer: AAAI 2023 Workshop PPAI, ICML 2024 Workshop MHFAIA, ICML 2024 Workshop ARLET, ICML 2024 Workshop RLControlTheory

Teaching

• 2024 Fall: CMU 18734/17731 Foundations of Privacy (TA)
• 2022 Fall: PKU CS 33400 Discrete Mathematics and Structures (TA)
• 2021 Fall: PKU CS 33400 Discrete Mathematics and Structures (TA)

Others

I highly recommend everyone to explore the special collections in university archives! For instance, I had the opportunity to see and even handle the transcript and photograph John Nash submitted with his Princeton application.

My Erdős number is 3.