Zhenyu Wei  |  卫振宇

I am a fourth-year undergraduate student majoring in Computer Science at Shanghai Jiao Tong University. Currently, I am fortune to be a research assistant at National University of Singapore advised by Prof. Lin Shao. Previously, I was an intern at Shanghai Jiao Tong University MVIG advised by Prof. Cewu Lu.

I'm looking for a Ph.D. position starting in Fall 2025. Please feel free to contact me!

Email  /  CV  /  Github  /  Google Scholar  /  WeChat

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Research

My research interests lie in 🤖robot learning and 🦾dexterous manipulation. My long-term goal is to make robots an indispensable part of our lives, transforming the way we live. I'm open to collaborations on robotics related projects! If you are a researcher looking for a partner, feel free to contact me🤟.

$\mathcal{D(R,O)}$ Grasp: A Unified Representation of Robot and Object Interaction for Cross-Embodiment Dexterous Grasping
Zhenyu Wei*, Zhixuan Xu*, Jingxiang Guo, Yiwen Hou, Chongkai Gao, Zhehao Cai, Jiayu Luo, Lin Shao
In submission to ICRA 2025
Website  /  arXiv  /  Code

We introduce a novel representation, $\mathcal{D(R,O)}$ for dexterous grasping tasks. This interaction-centric formulation transcends conventional robot-centric and object-centric paradigms, facilitating robust generalization across diverse robotic hands and objects.

Auto-Pairing Positives through Implicit Relation Circulation for Discriminative Self-Learning
Bo Pang, Zhenyu Wei, Jingli Lin, Cewu Lu,
In submission to TPAMI (Minor Revision)
arXiv

We present Implicit Relation Circulation (IRC), a self-supervised learning framework that uses random walks across feature groups without explicit matching. By connecting it to a simpler task, cycle consistency facilitates the automatic discovery of positive pairs.

Award

  • The Tung Foundation Scholarship (Top 5%) 2022
  • Huawei Scholarship (Top 5%) 2023
  • Outstanding Scholarship of Computer Science Alumni Fund (Top 5%) 2024
  • Zhiyuan Honors Scholarship (Top 5%) 2021  &  2022  &  2023
  • SJTU Merit Student (Top 10%) 2022  &  2023
  • SJTU Merit Scholarship (Top 10%) 2022  &  2023

Experience

National University of Singapore, Singapore 2024.06 - present

Research Assistant
Advisor: Prof. Lin Shao

SJTU Machine Vision and Intelligence Group (MVIG), China 2022.10 - 2024.05

Research Intern
Advisor: Prof. Cewu Lu

SJTU-THU-PKU Computer Science Summer School, China 2023.07

Participant

Shanghai Jiao Tong University, China 2021.09 - 2025.06

Undergraduate Student

Fell free to contact me if you have any problem.
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Last Update: Oct. 17, 2024