𝐘𝐚𝐧𝐣𝐢𝐞 𝐙𝐞

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, working with Xiaolong Wang. After graduation, I spent a wonderful time at Shanghai Qi Zhi Institue, working with Huazhe Xu.

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

If you have shared interests in Robotics/Learning/Vision, don't hesitate to shoot me an mail. I'm always up for exploring potential collaborations and/or engaging in insightful conversations.

Research Interest

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


/ . 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
Robotics: Science and Systems (RSS), 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