Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation. - Shutong Ding; Tianyu Cui; Jingya Wang; Ye Shi 001 (NeurIPS, 2023)

Reduced Policy Optimization for Continuous Control with Hard Constraints. - Shutong Ding; Jingya Wang; Yali Du 001; Ye Shi 001 (NeurIPS, 2023)

Guidance with Spherical Gaussian Constraint for Conditional Diffusion. - Lingxiao Yang; Shutong Ding; Yifan Cai; Jingyi Yu; Jingya Wang; Ye Shi 001 (ICML, 2024)

Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization. - Shutong Ding; Ke Hu; Zhenhao Zhang; Kan Ren; Weinan Zhang 001; Jingyi Yu; Jingya Wang; Ye Shi 001 (NeurIPS, 2024)

DiOpt: Self-supervised Diffusion for Constrained Optimization. - Shutong Ding; Yimiao Zhou; Ke Hu; Xi Yao; Junchi Yan; Xiaoying Tang 002; Ye Shi 001 (CoRR, 2025)

GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning. - Shutong Ding; Ke Hu; Shan Zhong; Haoyang Luo; Weinan Zhang 001; Jingya Wang; Jun Wang; Ye Shi 001 (CoRR, 2025)

One Policy but Many Worlds: A Scalable Unified Policy for Versatile Humanoid Locomotion. - Yahao Fan; Tianxiang Gui; Kaiyang Ji; Shutong Ding; Chixuan Zhang; Jiayuan Gu; Jingyi Yu; Jingya Wang; Ye Shi 001 (CoRR, 2025)