Jingwu Tang

Jingwu Tang唐静吾

Jingwu Tang

I am a PhD student in the School of Computer Science at Carnegie Mellon University, where I am fortunate to be advised by Steven Wu and Fei Fang. Before that, I obtained my bachelor’s degree at the Turing Class, Peking University, where I was fortunate to be advised by Xiaotie Deng.

My research interests lie in reinforcement learning, imitation learning, and multi-calibration. In 2026, I spent a wonderful summer at Amazon working on self-distillation of large language models for hard reasoning tasks.

Email Google Scholar GitHub CV

Selected publications

  1. Persuasive Prediction via Decision Calibration

    NeurIPS 2026

    Jingwu Tang*, Jiahao Zhang*, Fei Fang, Zhiwei Steven Wu.

  2. ReproRepo: Scaling Reproducibility Audits with GitHub Repository Issues

    EMNLP 2026

    Shanda Li, Qiuhong Anna Wei, Jingwu Tang, Valerie Chen, Nihar B Shah, Tim Dettmers, Yiming Yang, Ameet Talwalkar.

  3. Dimension-Free Decision Calibration for Nonlinear Loss Functions

    ICLR 2026

    Jingwu Tang, Jiayun Wu, Zhiwei Steven Wu, Jiahao Zhang.

    Alphabetical author order.

  4. Multi-Agent Imitation Learning: Value is Easy, Regret is Hard

    NeurIPS 2024

    Jingwu Tang, Gokul Swamy, Fei Fang, Zhiwei Steven Wu.

* Equal contribution.

Service

Workflow Co-Chair
AAMAS 2026
Program Committee
NeurIPS 2024, 2025; ICML 2025, 2026; ICLR 2025, 2026; AAAI 2024
Workshop Program Committee
ICML 2024: MHFAIA, ARLET, RLControlTheory
AAAI 2023: PPAI

Others

I highly recommend exploring the special collections in university archives. At Princeton, I had the opportunity to see and even handle the transcript and photograph John Nash submitted with his application.

John Nash’s transcript and photograph from his Princeton application
John Nash’s transcript and photograph from his Princeton application.
A handwritten note on the back of John Nash’s photograph
An interesting note on the back of Nash’s photograph.

My Erdős number is 3.