3SGAN: 3D Shape Embedded Generative Adversarial Networks. - Fengdi Che; Xiru Zhu; Tianzi Yang; Tzu-Yang Yu (ICCV Workshops, 2019)

Detecting GAN generated errors. - Xiru Zhu; Fengdi Che; Tianzi Yang; Tzu-Yang Yu; David Meger; Gregory Dudek (CoRR, 2019)

Bayesian Q-learning With Imperfect Expert Demonstrations. - Fengdi Che; Xiru Zhu; Doina Precup; David Meger; Gregory Dudek (CoRR, 2022)

Correcting discount-factor mismatch in on-policy policy gradient methods. - Fengdi Che; Gautham Vasan; A. Rupam Mahmood (ICML, 2023)

Loosely consistent emphatic temporal-difference learning. - Jiamin He; Fengdi Che; Yi Wan; A. Rupam Mahmood (UAI, 2023)

Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation. - Fengdi Che; Chenjun Xiao; Jincheng Mei; Bo Dai 001; Ramki Gummadi; Oscar A. Ramirez; Christopher K. Harris; A. Rupam Mahmood; Dale Schuurmans (ICML, 2024)

AVG-DICE: Stationary Distribution Correction by Regression. - Fengdi Che; Bryan Chan; Chen Ma; A. Rupam Mahmood (CoRR, 2025)

Re:Form - Reducing Human Priors in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny. - Chuanhao Yan; Fengdi Che; Xuhan Huang; Xu Xu; Xin Li; Yizhi Li; Xingwei Qu; Jingzhe Shi; Zhuangzhuang He; Chenghua Lin; Yaodong Yang 001; Binhang Yuan; et al. (CoRR, 2025)