𝐘𝐚𝐧𝐣𝐢𝐞 𝐙𝐞

Researcher in Robotics

I received my Bachelor degree in Computer Science at Shanghai Jiao Tong University in June 2023. During my undergraduate years, I was fortunate to visit UC San Diego from July 2023 to December 2023, working with Xiaolong Wang. After graduation, I spent a wonderful time at Shanghai Qi Zhi Institue, working with Huazhe Xu from June 2023 to April 2024.

I will join Stanford University as a CS PhD student, starting from 2024 Fall.

Feel free to contact me via email.

Research Interest

My research is on intersection of Robotics, Computer Vision, and Reinforcement Learning. My focus is on learning generalizable {3D, 2D, language, dynamics} representations through {images, videos, texts, interaction data} for robotics. I like to explore the natural supervision signals from the data itself.

Publications

/ . Selected papers are highlighted.

3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
Yanjie Ze*, Gu Zhang*, Kangning Zhang, Chenyuan Hu, Muhan Wang, Huazhe Xu
arXiv, 2024
project page / arXiv / code / bibtex
GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields
Yanjie Ze*, Ge Yan*, Yueh-Hua Wu*, Annabella Macaluso, Yuying Ge, Jianglong Ye, Nicklas Hansen, Li Erran Li, Xiaolong Wang
Conference on Robot Learning (CoRL), 2023 (Oral)
project page / arXiv / code / poster / bibtex

Recent Talks

Visual Representations for Generalizable Robotic Manipulation
November 2, 2023
Present at TechBeat, Shanghai AI Lab, and Tsinghua University.
slides / YouTube / Bilibili