I am currently a master student at Tsinghua Shenzhen International Graduate School, Tsinghua University, advised by Prof. Xueqian Wang (王学谦). During my master’s degree, I also worked as an intern at Tencent AI Lab, collaborating with Dr. Liu Liu (刘浏) and Dr. Peilin Zhao (赵沛霖). Prior to that, I completed my bachelor’s degree at School of Mechatronics and Engineering, Harbin Institute of Technology.

Recently I have been working as a research assistant at Prof. Lin Shao (邵林)’s Lab and I am going to pursue my PhD degree under his supervision at National University of Singapore.

💡 Research Interests: I am broadly interested in research on the generalization and adaptation of RL agents.

You are very welcome to contact me regarding my research through email. I typically respond within a few days.

🔥 News

  • 2024.06 One paper “ManiFoundation Model for General-Purpose Robotic Manipulation of Contact Synthesis with Arbitrary Objects and Robots” was accepted to IROS 2024 as oral presentation.
  • 2024.03 I was offered the PGF with admissions to ISEP to pursue PhD at NUS.
  • 2024.02 One paper “DFWLayer: Differentiable Frank-Wolfe Optimization Layer” was accepted to Tiny Papers @ ICLR 2024 as notable.
  • 2024.01 One paper “Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages” was accepted to ICLR 2024. Congratulations to Guozheng!
  • 2023.09 I started to work as a research assistant in Prof. Lin Shao’s Lab.
  • 2023.06 One paper “Dynamics Adapted Imitation Learning” was accepted to TMLR.

📝 Publications

Papers sorted by recency. * denotes equal contribution.

Selected Publications

IROS 2024

(Oral Presentation) 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

International Conference on Intelligent Robots and Systems (IROS), 2024

Arxiv | Website | Code | Bibtex

TMLR 2023

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

🎖 Honors and Awards

  • President Graduate Fellowship, National University of Singapore, 2024
  • Outstanding Research Scholarship, Tsinghua University, 2023
  • Outstanding Graduates, Harbin Institue of Technology, 2021
  • National Scholarship, Ministry of Education of the People’s Republic of China, 2019
  • Provincial Merit Students, Heilongjiang Provincial Education Department, 2019

📖 Educations

  • 2024.08 - Present, PhD, National University of Singapore, Singapore.
  • 2021.09 - 2024.06, M.E., Tsinghua University, Beijing, China.
  • 2016.09 - 2021.06, B.E., Harbin Institute of Technology, Harbin, Heilongjiang, China.

💻 Internships

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