A Context-Integrated Transformer-Based Neural Network for Auction Design. - Zhijian Duan 001; Jingwu Tang; Yutong Yin; Zhe Feng 004; Xiang Yan; Manzil Zaheer; Xiaotie Deng (ICML, 2022)

Generating Private Synthetic Data with Genetic Algorithms. - Terrance Liu; Jingwu Tang; Giuseppe Vietri; Steven Wu 001 (ICML, 2023)

Multi-Agent Imitation Learning: Value is Easy, Regret is Hard. - Jingwu Tang; Gokul Swamy; Fei Fang 001; Zhiwei Steven Wu (NeurIPS, 2024)

Dimension-Free Decision Calibration for Nonlinear Loss Functions. - Jingwu Tang; Jiayun Wu; Zhiwei Steven Wu; Jiahao Zhang (CoRR, 2025)

Persuasive Prediction via Decision Calibration. - Jingwu Tang; Jiahao Zhang; Fei Fang 001; Zhiwei Steven Wu (CoRR, 2025)