Ge Yan

I am a first-year CS PhD student at University of Washington, advised by Prof. Dieter Fox. Previously, I received my MS degree from UC San Diego, advised by Prof. Xiaolong Wang.

My research interest is building generally capable robots with scalable intelligence. Currently, I am focused on 3D policy learning and generative models for robotics.

Publications and preprints

Papers sorted by recency. Representative papers are highlighted.

DNAct: Diffusion Guided Multi-Task 3D Policy Learning
Ge Yan*, Yueh-Hua Wu*, Xiaolong Wang
arXiv preprint, 2024
project page / arxiv / bibtex

Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Open X-Embodiment, [...], Ge Yan, [...] (200+ authors)
International Conference on Robotics and Automation (ICRA), 2024 (Best Paper Award)
project page / code / dataset / 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 / bibtex

DMRA: Depth-induced Multi-scale Recurrent Attention Network for RGB-D Saliency Detection
Wei Ji*, Ge Yan*, Jingjing Li, Yongri Piao, Shunyu Yao, Miao Zhang, Li Cheng, Huchuan Lu
IEEE Transactions on Image Processing (TIP), 2022
Paper / code / bibtex

Misc

I love various music genres, especially classic, rock, and R&B. Lately, I've been drawn to 90s music, especially Japanese songs from that time, e.g. OH NO, OH YES! by Akina Nakamori and First Love by Utada Hikaru. I enjoy the melodies of diverse instruments and am currently learning to play the piano in my spare time.

I also enjoy watching NBA games, with Los Angeles Lakers being my favorite team. I'm a huge fan of LeBron James and Kobe Bryant, always finding inspiration in their spirit.