About me
Hi! I’m a third year undergraduate studying Computer Science , at Shanghai Jiao Tong University. Now I work as a research assistant in the MVIG-RHOS group, supervised by Prof. Yong-Lu Li and Prof. Cewu Lu, with PHD student Xinpeng Liu as my mentor. My research interest includes Embodied AI, Machine Learning. My dream is to create a robot thinking and acting like a real human.
Moreover, I’m looking for an opportunity to work with another group as an onsite/offsite research assistant this summer. If you could offer me this chance, please feel free to directly contact me!
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Here is my Curriculum Vitae in PDF
Publications
- Xinpeng Liu, Junxuan Liang, Zili Lin, Haowen Hou, Yong-Lu Li*, Cewu Lu* (*=corresponding authors). “ImDy: Human Inverse Dynamics from Imitated Observations.” arXiv preprint. [Paper] [Project] (Under review as a conference paper at ICLR 2025)
- Xinpeng Liu, Junxuan Liang, Chenshuo Zhang, Zixuan Cai, Cewu Lu*, Yong-Lu Li* (*=corresponding authors). “Homogeneous Dynamics Space for Heterogeneous Humans.” arXiv preprint. [Paper] [Project] (Under review as a conference paper)
- Zixuan Chen, Jiaxin Li, Junxuan Liang, Liming Tan, Yejie Guo, Cewu Lu*, Yong-Lu Li* (*=corresponding authors). “M$^3$-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object Segmentation.” (Under review as a conference paper)
Project
- Photovoltaic Power Generation Prediction System: An app built with Matlab and Python [Project]
- Machine Learning for 3D Bin Packing Problem: SJTU CS3308 Machine Learning final project [Project]
Education
- Undergraduate Student in Computer Science, Shanghai Jiao Tong Univeisty
- A member of The Zhiyuan Honors Program
- Core Courses: Machine Learning, Modern Opertaing System, Computational Theory
Research experience
- June 2022 – Present: Research Assistant
- RHOS team at Machine Vision and Intelligence Group (MVIG-RHOS), Shanghai Jiao Tong Univeisty, Shanghai, China
- Exploited the recently progressive human motion imitation algorithms and trained a data-driven human inverse dynamics solver in a fully supervised manner
- Supervised by Prof Yong-Lu Li and Prof Cewu Lu
- Feb 2022 – June 2022: Research Assistant
- Department of Electrical Engineering, Shanghai Jiao Tong Univeisty, Shanghai, China
- Proposed a distributed photovoltaic state monitoring model based on sparse coding, and distributed robust logistic regression algorithms
- Supervised by Prof Xiaoyuan Xu
Awards
- Zhiyuan Honors Program Scholarship, SJTU, Shanghai, China, 2023
- Third-Class Scholarship, SJTU, Shanghai, China, 2024
- Merit Student (top 3%), SJTU, Shanghai, China, 2024
- National Special Award in Electronic&Electrical Engineering Innovation Competition, China, 2024
- Meritorious Winner in Mathematical Contest In Modelling (Top 6.6%), America, 2024
Skills
- English
- CET6 528
- CET4 576
- Physics Engine
- Nimble Physics
- Mujoco
- Programming Language
- Python
- C++/C
- Sports
- Basketball
- Table Tennis
Service and leadership
- Currently participate in voluntary blood donation
- A member of the Linux Club at Shanghai Jiao Tong University