Jinxuan Zhu  |  ๆœฑ้”ฆ่ฝฉ

I am an incoming Master student in National University of Sinapore majoring in Artificial Intelligence (Mcomp AI). Before that I finished my bachelor at Harbin Institute of Technology, Shenzhen(HITSZ) majoring in Automation. Currently, I am fortune to be a research intern at NUS LinS Lab advised by Prof. Lin Shao. Previously, I worked as a research assistant with Prof. Xueqian Wang at Tsinghua Shenzhen International Guaduate School (SIGS) and Prof. Yanjie Li at HITSZ. I also have internship experience as an algorithm intern at Dobot Robotics and Roboscience. My research interest focus on Robotics and Embodied AI.

Email: nolanzhuhitsz[at]gmail.com

Email  /  CV  /  GitHub  /  Google Scholar  /  WeChat

Looking for Ph.D. Opportunity in 2026 Spring/Fall Intake.

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News

  • [2025/06] ๐ŸŽ‰ One paper was accepted by IROS 2025.
  • [2025/06] ๐ŸŽ‰ I was graduated from Harbin Institute of Technology, Shenzhen!
  • [2025/04] ๐ŸŽ‰ Manual2Skill was accepted to RSS 2025.

Publications
Manual2Skill: Learning to Read Manuals and Acquire Robotic Skills for Furniture Assembly Using Vision-Language Models
Chenrui Tie*, Shengxiang Sun*, Jinxuan Zhu, Yiwei Liu, Jingxiang Guo, Yue Hu, Haonan Chen, Junting Chen, Ruihai Wu, Lin Shao
Robotics: Science and Systems (RSS 2025) CVPR 2025 Workshop Robo-3DVLM Website  /  arXiv  /  Media (ๆœบๅ™จไน‹ๅฟƒ)
TL;DR: Teach robots to assemble furniture by reading manuals and transforming the instructions into executable skills.
Learning Generalizable Language-Conditioned Cloth Manipulation from Long Demonstrations
Hanyi Zhao*, Jinxuan Zhu*, Zihao Yan*, Yichen Li, Yuhong Deng, Xueqian Wang
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025) Website  /  arXiv
TL;DR: Propose a novel pipeline utilizing LLM to discover basic skills from existing benchmarks and compose them to generalize to novel long-horizon cloth manipulation tasks.
MASQ: Multi-Agent Reinforcement Learning for Single Quadruped Robot Locomotion
Qi Liu*, Jingxiang Guo*, Sixu Lin, Shuaikang Ma, Jinxuan Zhu, Yanjie Li
ICML 2025 Workshop NewInML arXiv  /  Video  /  Press
TL;DR: Introduce MASQ, a novel approach using multi-agent reinforcement learning (MARL) for single quadruped robot locomotion. By treating each leg as an independent agent, MASQ accelerates learning and boosts real-world robustness, surpassing traditional methods.

Award

  • Second Prize Student Scholarship of HITSZ 2023-2024
  • Third Prize Student Scholarship of HITSZ 2022-2023
  • Outstanding Student of the Year 2021-2022

Experience

NUS Learning and Intelligent Systems Lab (LinS Lab), Singapore 2024.12 - present

Research Intern
Advisor: Prof. Lin Shao

City University of HongKong, Hong Kong, China 2025.02 - 2025.05

Exchange Student

AI&ROBOT LAB at Tsinghua SIGS, Shenzhen, China 2024.07 - 2025.03

Research Intern
Advisor: Prof. Xueqian Wang

Reinforcement Learning Group (RLG) at HTISZ, Shenzhen, China 2023.11 - 2024.10

Research Intern
Advisor: Prof. Yanjie Li

University of Oxford, Oxford, UK 2023.08

Summer Programme in Machine Learning and Artificial Intelligence

Harbin Institute of Technology, Shenzhen, China 2021.09 - 2025.07

B.E. in Automation
GPA: 3.7/4.0 Rank: 10%

Misc

I enjoy playing basketball ๐Ÿ€ and hiking ๐Ÿƒ. I'm also the guitarist in a band formed with friends since high school, where I play electric guitar ๐ŸŽธ.


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