Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML. - Sijia Liu 001; Songtao Lu; Xiangyi Chen; Yao Feng 002; Kaidi Xu; Abdullah Al-Dujaili; Mingyi Hong 001; Una-May O'Reilly (CoRR, 2019)

Capacitance Extraction and Power Grid Analysis Using Statistical and AI Methods. - Wenjian Yu; Ming Yang 033; Yao Feng 002; Ganqu Cui; Ben Gu (ASP-DAC, 2020)

Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks. - Sijia Liu 001; Songtao Lu; Xiangyi Chen; Yao Feng 002; Kaidi Xu; Abdullah Al-Dujaili; Mingyi Hong 001; Una-May O'Reilly (ICML, 2020)

Model-based Reinforcement Learning with a Hamiltonian Canonical ODE Network. - Yao Feng 002; Yuhong Jiang; Hang Su 006; Dong Yan; Jun Zhu 001 (CoRR, 2022)

Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications. - Zhongkai Hao; Songming Liu; Yichi Zhang; Chengyang Ying; Yao Feng 002; Hang Su 006; Jun Zhu 001 (CoRR, 2022)

Adaptive Shielding via Parametric Safety Proofs. - Yao Feng 002; Jun Zhu 001; André Platzer; Jonathan Laurent (Proc. ACM Program. Lang., 2025)

Adaptive Shielding via Parametric Safety Proofs. - Yao Feng 002; Jun Zhu 001; André Platzer; Jonathan Laurent (Zenodo, 2025)

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning. - Xinning Zhou; Chengyang Ying; Yao Feng 002; Hang Su 006; Jun Zhu 001 (CoRR, 2025)

AnyPos: Automated Task-Agnostic Actions for Bimanual Manipulation. - Hengkai Tan; Yao Feng 002; Xinyi Mao; Shuhe Huang; Guodong Liu; Zhongkai Hao; Hang Su 006; Jun Zhu 001 (CoRR, 2025)

Vidar: Embodied Video Diffusion Model for Generalist Bimanual Manipulation. - Yao Feng 002; Hengkai Tan; Xinyi Mao; Guodong Liu; Shuhe Huang; Chendong Xiang; Hang Su 006; Jun Zhu 001 (CoRR, 2025)