Zixuan Liu

According to our database, Zixuan Liu authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Contact Coverage-Guided Exploration for General-Purpose Dexterous Manipulation.

Zixuan Liu, Ruoyi Qiao, Chenrui Tie, Xuanwei Liu, Yunfan Lou, Chongkai Gao, Zhixuan Xu, Lin Shao

CoRR, March, 2026

RoTri-Diff: A Spatial Robot-Object Triadic Interaction-Guided Diffusion Model for Bimanual Manipulation.

Zixuan Chen, Nga Teng Chan, Yiwen Hou, Chenrui Tie, Zixuan Liu, Haonan Chen, Junting Chen, Jieqi Shi, Yang Gao, Jing Huo, Lin Shao

CoRR, March, 2026

DexSinGrasp: Learning a Unified Policy for Dexterous Object Singulation and Grasping in Densely Cluttered Environments.

Lixin Xu, Zixuan Liu, Zhewei Gui, Jingxiang Guo, Zeyu Jiang, Tongzhou Zhang, Zhixuan Xu, Chongkai Gao, Lin Shao

IEEE Robotics Autom. Lett., February, 2026

What Makes Value Learning Efficient in Residual Reinforcement Learning?

Guozheng Ma, Lu Li, Haoyu Wang, Zixuan Liu, Pierre-Luc Bacon, Dacheng Tao

CoRR, February, 2026

2025

VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models.

Chongkai Gao, Zixuan Liu, Zhenghao Chi, Junshan Huang, Xin Fei, Yiwen Hou, Yuxuan Zhang, Yudi Lin, Zhirui Fang, Zeyu Jiang, Lin Shao

CoRR, June, 2025

DexSinGrasp: Learning a Unified Policy for Dexterous Object Singulation and Grasping in Cluttered Environments.

Lixin Xu, Zixuan Liu, Zhewei Gui, Jingxiang Guo, Zeyu Jiang, Zhixuan Xu, Chongkai Gao, Lin Shao

CoRR, April, 2025

2024

NN-Based Reinforcement Learning Optimal Control for Inequality-Constrained Nonlinear Discrete-Time Systems With Disturbances.

Shu Li, Liang Ding, Miao Zheng, Zixuan Liu, Xinyu Li, Huaiguang Yang, Haibo Gao, Zongquan Deng

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Dynamic Clusters Supported Bi-Level Control System With Lower Communication Requirements for a Distribution Network With Distributed Battery and Photovoltaic Systems.

Runfan Zhang, Zixuan Liu, Zhaohong Bie, Branislav Hredzak

IEEE Trans. Smart Grid, July, 2024

ManiFoundation Model for General-Purpose Robotic Manipulation of Contact Synthesis with Arbitrary Objects and Robots.

Zhixuan Xu, Chongkai Gao, Zixuan Liu, Gang Yang, Chenrui Tie, Haozhuo Zheng, Haoyu Zhou, Weikun Peng, Debang Wang, Tianyi Chen, Zhouliang Yu, Lin Shao

CoRR, 2024

ManiFoundation Model for General-Purpose Robotic Manipulation of Contact Synthesis with Arbitrary Objects and Robots.

Zhixuan Xu, Chongkai Gao, Zixuan Liu, Gang Yang, Chenrui Tie, Haozhuo Zheng, Haoyu Zhou, Weikun Peng, Debang Wang, Tianrun Hu, Tianyi Chen, Zhouliang Yu, Lin Shao

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages.

Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DFWLayer: Differentiable Frank-Wolfe Optimization Layer.

Zixuan Liu, Liu Liu, Xueqian Wang, Peilin Zhao

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023

Dynamics Adapted Imitation Learning.

Zixuan Liu, Liu Liu, Bingzhe Wu, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao

Trans. Mach. Learn. Res., 2023

Differentiable Frank-Wolfe Optimization Layer.

Zixuan Liu, Liu Liu, Xueqian Wang, Peilin Zhao

CoRR, 2023