Yanjie Ze (迮炎杰)

Wir müssen wissen. Wir werden wissen.

I am an undergraduate majoring in Computer Science in Shanghai Jiao Tong University, aiming for a PhD position for 2024 Fall.

My research interest lies in Robotic Manipulation, Reinforcement Learning, and Computer Vision. My recent works focus on Visual Reinforcement Learning, Self-Supervised Learning, and 3D Vision.

Currently I am advised by Prof. Xiaolong Wang at University of California San Diego and Prof. Huazhe Xu at Tsinghua University. Previously I worked with Prof. Shuai Li in John Hopcroft Center of SJTU.

I am the recipient of Sensetime Scholarship in 2022, a scholarship that selects 30 undergraduates from all over China.

My wechat is zeyanjie. Feel free to contact me.

Gmail (Prefer)  /  Email@SJTU  /  Google Scholar  /  Github  /  Twitter  

profile photo
[2023/03/04] RL3D got accepted by RA-L 2023 & IROS 2023.

[2022/12/13] Back to Shanghai, China, from beautiful San Diego, USA. Thanks for all lovely friends in California.

[2022/12/09] Receive the Sensetime Scholarship in 2022.
Papers sorted by years. Representative papers are highlighted.
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline
Nicklas Hansen*, Zhecheng Yuan*, Yanjie Ze*, Tongzhou Mu*, Aravind Rajeswaran^, Hao Su^, Huazhe Xu^, Xiaolong Wang^
Conference of Robot Learning (CoRL), Workshop on Pretraining Robot Learning, Spotlight, 2022
arXiv / code

Visual Reinforcement Learning with Self-Supervised 3D Representations
Yanjie Ze*, Nicklas Hansen*, Yinbo Chen, Mohit Jain, Xiaolong Wang
Robotics and Automation Letters (RA-L), 2023
International Conference on Intelligent Robots and Systems (IROS), 2023
project page / arXiv / code

Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization
Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li
International Conference on Web Search and Data Mining (WSDM), 2023
arXiv / code

UKPGAN: A General Self-Supervised Keypoint Detector
Yang You, Wenhai Liu, Yanjie Ze, YongLu Li, Weiming Wang, Cewu Lu
Conference on Computer Vision and Pattern Recognition (CVPR), 2022
arXiv / code

Reviewer for ICLR 2023, CVPR 2023
Academic Performance
GPA: 91/100, 4.0/4.3
Rank 1/120 for the 6th semester
Related A+ courses CS420: Machine Learning. (A+)
CS245: Data Science. (A+)
CS337: Computer Graphics. (A+)
CS386: Digital Image Processing. (A+)
CS499: Mathematical Foundations of Computer Science. (A+)
CS214: Algorithm and Complexity. (A+)
MA119: Probability and Statistics. (A+)
Recipent for Sensetime Scholarship, 20000¥, 2022
Recipent for United Scholarship, 12000¥, 2020
Finalist for National Scholarship, 8000¥, 2020
Some of my Friends (random order)
  • Carnegie Mellon University: Alex Chi
  • Harvard University: Yanchen Liu
  • Georgia Institute of Technology: Haotian Xue
  • University of Southern California: Di Chang
  • University of Waterloo: Xichen Pan
  • Australian National Univeristy: Junlin Han
  • The Chinese University of Hong Kong: Junhua Liu
  • The Hong Kong Polytechnic University: Zhe Wang
  • Tsinghua University: Chenyang Zhao
  • Beijing Institute of Technology: Tianyi Bai
  • Tongji University: Zhuowen Zheng
  • Huazhong University of Science and Technology: Wenjie Qu, Fanpeng Meng
  • Southeast University: Hanshi Sun
  • Beijing University of Posts and Telecommunications: Qi Fang
  • Sichuan University: Shiyi Du
  • Chongqing University: Zongyu Wu
  • Xian Jiaotong-Liverpool University: Qiaolin Yu
  • Beijing University of Posts and Telecommunications: Yu Lei
  • Shanghai Jiao Tong University: Yiming Dou, Keyao You, David Guo