📝 Publications
Papers sorted by recency. * denotes equal contribution.
Selected Publications
ContactExplorer: 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
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
Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
[Outstanding Paper] NeurIPS 2025 Workshop “Embodied World Models for Decision Making”
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, Zhixuan Xu, Chongkai Gao, Lin Shao
ICRA 2025 Workshop “Handy Moves: Dexterity in Multi-Fingered Hands”
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
[Oral Presentation] International Conference on Intelligent Robots and Systems (IROS), 2024
Dynamics Adapted Imitation Learning
Zixuan Liu, Liu Liu, Bingzhe Wu, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao
Transactions on Machine Learning Research (TMLR), 2023
Openreview | Code | Bibtex
Other Publications
ICLR 2024Revisiting 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, International Conference on Learning Representations (ICLR), 2024. OpenReview | Code | BibtexTiny Papers @ ICLR 2024DFWLayer: Differentiable Frank-Wolfe Optimization Layer, Zixuan Liu, Liu Liu, Xueqian Wang, Peilin Zhao, [Notable] Tiny Papers @ ICLR 2024. OpenReview | Code | BibtexTNNLSNN-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 Transactions on Neural Networks and Learning Systems (TNNLS), 2023. IEEE | Bibtex