Jianxiong Li
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
6
Active years
2023–2025
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Are Expressive Models Truly Necessary for Offline RL? | Guan Wang, Haoyi Niu, Jianxiong Li, Li Jiang, Jianming Hu, Xianyuan Zhan |
| 2025 | CVPR | 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 |
| 2025 | ICLR | Skill Expansion and Composition in Parameter Space. | Tenglong Liu, Jianxiong Li, Yinan Zheng, Haoyi Niu, Yixing Lan, Xin Xu, Xianyuan Zhan |
| 2025 | ICLR | 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 |
| 2025 | ICML | 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 |
| 2025 | ICRA | 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 |
| 2024 | ICLR | Query-Policy Misalignment in Preference-Based Reinforcement Learning. | Xiao Hu, Jianxiong Li, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang |
| 2024 | ICLR | Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model. | Yinan Zheng, Jianxiong Li, Dongjie Yu, Yujie Yang, Shengbo Eben Li, Xianyuan Zhan, Jingjing Liu |
| 2024 | ICML | 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 |
| 2024 | SC | Scaling Molecular Dynamics with ab initio Accuracy to 149 Nanoseconds per Day. | Jianxiong Li, Boyang Li, Zhuoqiang Guo, Mingzhen Li, Enji Li, Lijun Liu, Guojun Yuan, Zhan Wang, Guangming Tan, Weile Jia |
| 2023 | ICLR | 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 |
| 2023 | ICLR | When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning. | Jianxiong Li, Xianyuan Zhan, Haoran Xu, Xiangyu Zhu, Jingjing Liu, Ya-Qin Zhang |
| 2023 | ICLR | Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization. | Haoran Xu, Li Jiang, Jianxiong Li, Zhuoran Yang, Zhaoran Wang, Wai Kin Victor Chan, Xianyuan Zhan |
| 2023 | SC | Enhance the Strong Scaling of LAMMPS on Fugaku. | Jianxiong Li, Tong Zhao, Zhuoqiang Guo, Shunchen Shi, Lijun Liu, Guangming Tan, Weile Jia, Guojun Yuan, Zhan Wang |