Yanjie Ze

Undergraduate student, Shanghai Jiao Tong Univeristy

I am an undergraduate student majoring in Computer Science at Shanghai Jiao Tong University, aiming for a PhD position for 2024 Fall. Currently I work with Prof. Xiaolong Wang at University of California San Diego and Prof. Huazhe Xu at Tsinghua University.

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.

Research interest

I am broadly interested in developing intelligent agents that solve real-world robotic problems from visual observations with efficiency and generalizability.
My work is at the intersection of Reinforcement Learning, Robotics, and Computer Vision.

Selected Publications

Papers sorted by recency. 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+
International Conference on Machine Learning (ICML), 2023
arXiv / code / bibtex
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 / bibtex
Other publications
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning
Canzhe Zhao*, Yanjie Ze*, Jing Dong, Baoxiang Wang, Shuai Li
International Joint Conference on Artificial Intelligence (IJCAI), 2023
arXiv / bibtex
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 / bibtex
UKPGAN: A General Self-Supervised Keypoint Detector
Yang You, Wenhai Liu, Yanjie Ze, YongLu Li, Weiming Wang, Cewu Lu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
project page / arXiv / code / bibtex

Academic Performance

GPA: 91/100, 4.0/4.3 (top 5%)
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+)