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!

⁽⁽ ◟(∗ ˊωˋ ∗)◞ ⁾⁾

Here is my Curriculum Vitae in PDF

One must imagine Sisyphus happy

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
  • 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

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