My name is Jingwu Tang (唐静吾). I am a first-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 machine learning, game theory and algorithms. Most recently, I am working on game learning and sequential decision making.

Publications

• 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: PPAI 2023 (workshop of AAAI), AAAI 2024.

Teaching

• 2021 Fall: CS 33400 Discrete Mathematics and Structures, PKU (TA)
• 2022 Fall: CS 33400 Discrete Mathematics and Structures, PKU (TA)

More About Me

I love many kinds of sports, including basketball, badminton, jogging (also some track events) and outdoor biking, yet I’m not good at all of them. I’m a big fan of Stephen Curry and Golden State Warriors. I love reading, especially books about social science and history. In my spare time, I like to engage in social service that may help someone in need. I spent two years in a school club that helps students in underdeveloped areas of China.

My Erdős number is 3.