Publications
Collection of my research.
Dichotomous Diffusion Policy Optimization
Ruiming Liang†, Yinan Zheng†, Kexin Zheng†, Tianyi Tan†, Jianxiong Li, Liyuan Mao, Zhihao Wang, Guang Chen, Hangjun Ye, Jingjing Liu, Jinqiao Wang, Xianyuan Zhan
The Fourteenth International Conference on Learning Representations (ICLR) 2026
A reinforcement learning algorithm designed for stable and controllable optimization of diffusion-based policies.
Towards Robust Zero-Shot Reinforcement Learning
Kexin Zheng†, Lauriane Teyssier†, Yinan Zheng, Yu Luo, Xianyuan Zhan
The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS) 2025
An upgraded Forward-Backward representations (FB)-based zero-shot reinforcement learning framework that simultaneously enhances learning stability, policy extraction capability, and representation learning quality.
Flow matching-based autonomous driving planning with advanced interactive behavior modeling
Tianyi Tan†, Yinan Zheng†, Ruiming Liang, Zexu Wang, Kexin Zheng, Jinliang Zheng, Jianxiong Li, Xianyuan Zhan, Jingjing Liu
The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS) 2025
An advanced Flow Planner melding coordinated innovations in data modeling, architecture design, and learning schemes to enhance interactive driving behavior modeling for autonomous driving planning.
Contact map transfer with conditional diffusion model for generalizable dexterous grasp generation
Yiyao Ma, Kai Chen, Kexin Zheng, Qi Dou
The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS) 2025
A transfer-based framework for dexterous grasp generation, leveraging a conditional diffusion model to transfer high-quality grasps from shape templates to novel objects within the same category.
Diffusion-Based Planning for Autonomous Driving with Flexible Guidance
Yinan Zheng†, Ruiming Liang†, Kexin Zheng†, Jinliang Zheng, Liyuan Mao, Jianxiong Li, Weihao Gu, Rui Ai, Shengbo Eben Li, Xianyuan Zhan, Jingjing Liu
The Thirteenth International Conference on Learning Representations (ICLR) 2025
A novel transformer-based Diffusion Planner for autonomous driving, which can effectively model multi-modal driving behavior and ensure trajectory quality without any rule-based refinement.