Li, Jianxiong

28 publications

ICLR 2026 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

ICLR 2026 Sample Efficient Offline RL via T-Symmetry Enforced Latent State-Stitching Peng Cheng, Zhihao Wu, Jianxiong Li, Ziteng He, Haoran Xu, Wei Sun, Youfang Lin, Yunxin Liu, Xianyuan Zhan

ICLR 2026 X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model Jinliang Zheng, Jianxiong Li, Zhihao Wang, Dongxiu Liu, Xirui Kang, Yuchun Feng, Yinan Zheng, Jiayin Zou, Yilun Chen, Jia Zeng, Tai Wang, Ya-Qin Zhang, Jingjing Liu, Xianyuan Zhan

AAAI 2025 Are Expressive Models Truly Necessary for Offline RL? Guan Wang, Haoyi Niu, Jianxiong Li, Li Jiang, Jianming Hu, Xianyuan Zhan

ICLR 2025 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

ICLRW 2025 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

ICML 2025 Efficient Robotic Policy Learning via Latent Space Backward Planning Dongxiu Liu, Haoyi Niu, Zhihao Wang, Jinliang Zheng, Yinan Zheng, Zhonghong Ou, Jianming Hu, Jianxiong Li, Xianyuan Zhan

ICLRW 2025 Efficient Robotic Policy Learning via Latent Space Backward Planning Dongxiu Liu, Haoyi Niu, Zhihao Wang, Jinliang Zheng, Yinan Zheng, Zhonghong Ou, Jianming Hu, Jianxiong Li, Xianyuan Zhan

NeurIPS 2025 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

ICLRW 2025 Pushing the Limit of Sample-Efficient Offline Reinforcement Learning Peng Cheng, Zhihao Wu, Jianxiong Li, Ziteng He, Haoran Xu, Wei Sun, Youfang Lin, Xianyuan Zhan

ICLR 2025 Skill Expansion and Composition in Parameter Space Tenglong Liu, Jianxiong Li, Yinan Zheng, Haoyi Niu, Yixing Lan, Xin Xu, Xianyuan Zhan

CVPR 2025 Universal Actions for Enhanced Embodied Foundation Models Jinliang Zheng, Jianxiong Li, Dongxiu Liu, Yinan Zheng, Zhihao Wang, Zhonghong Ou, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Xianyuan Zhan

ICLRW 2025 Universal Actions for Enhanced Embodied Foundation Models Jinliang Zheng, Jianxiong Li, Dongxiu Liu, Yinan Zheng, Zhihao Wang, Zhonghong Ou, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Xianyuan Zhan

NeurIPSW 2024 Are Expressive Models Truly Necessary for Offline RL? Guan Wang, Haoyi Niu, Jianxiong Li, Li Jiang, Jianming Hu, Xianyuan Zhan

ICML 2024 DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning Jianxiong Li, Jinliang Zheng, Yinan Zheng, Liyuan Mao, Xiao Hu, Sijie Cheng, Haoyi Niu, Jihao Liu, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Xianyuan Zhan

ICMLW 2024 DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning Jianxiong Li, Jinliang Zheng, Yinan Zheng, Liyuan Mao, Xiao Hu, Sijie Cheng, Haoyi Niu, Jihao Liu, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Xianyuan Zhan

NeurIPS 2024 Instruction-Guided Visual Masking Jinliang Zheng, Jianxiong Li, Sijie Cheng, Yinan Zheng, Jiaming Li, Jihao Liu, Yu Liu, Jingjing Liu, Xianyuan Zhan

ICMLW 2024 Instruction-Guided Visual Masking Jinliang Zheng, Jianxiong Li, Sijie Cheng, Yinan Zheng, Jiaming Li, Jihao Liu, Yu Liu, Jingjing Liu, Xianyuan Zhan

ICLR 2024 Query-Policy Misalignment in Preference-Based Reinforcement Learning Xiao Hu, Jianxiong Li, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang

NeurIPSW 2024 Robo-MUTUAL: Robotic Multimodal Task Specification via Unimodal Learning Jianxiong Li, Zhihao Wang, Jinliang Zheng, Xiaoai Zhou, Guanming Wang, Guanglu Song, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Junzhi Yu, Xianyuan Zhan

ICLR 2024 Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model Yinan Zheng, Jianxiong Li, Dongjie Yu, Yujie Yang, Shengbo Eben Li, Xianyuan Zhan, Jingjing Liu

NeurIPSW 2024 xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing Haoyi Niu, Qimao Chen, Tenglong Liu, Jianxiong Li, Guyue Zhou, Yi Zhang, Jianming Hu, Xianyuan Zhan

ICLR 2023 Mind the Gap: Offline Policy Optimization for Imperfect Rewards Jianxiong Li, Xiao Hu, Haoran Xu, Jingjing Liu, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang

ICLR 2023 Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization Haoran Xu, Li Jiang, Jianxiong Li, Zhuoran Yang, Zhaoran Wang, Victor Wai Kin Chan, Xianyuan Zhan

ICMLW 2023 Query-Policy Misalignment in Preference-Based Reinforcement Learning Xiao Hu, Jianxiong Li, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang

ICLR 2023 When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning Jianxiong Li, Xianyuan Zhan, Haoran Xu, Xiangyu Zhu, Jingjing Liu, Ya-Qin Zhang

NeurIPSW 2022 Distance-Sensitive Offline Reinforcement Learning Jianxiong Li, Xianyuan Zhan, Haoran Xu, Xiangyu Zhu, Jingjing Liu, Ya-Qin Zhang

NeurIPSW 2022 Sparse Q-Learning: Offline Reinforcement Learning with Implicit Value Regularization Haoran Xu, Li Jiang, Jianxiong Li, Zhuoran Yang, Zhaoran Wang, Xianyuan Zhan