Rui Yan

ryan91@gatech.edu
Office: GTMI 377
I am a first-year Ph.D. student in Robotics at Georgia Tech, advised by Prof. Ye Zhao. I received my M.S. in Electrical and Computer Engineering from UC San Diego, advised by Prof. Xiaolong Wang. I previously worked with Prof. Fei Liu and Prof. Tianshu Yu. I am interested in building practical and deployable robotic systems that bridge research and real-world industrial applications.
Profile Picture

News

[Aug 2026] Started my Ph.D. in Robotics at Georgia Tech, advised by Prof. Ye Zhao.
[Jun 2025] Gave a talk and presented a demo at the 1st RSS Workshop on Robot Hardware-Aware Intelligence.
[Nov 2024] Started my M.S. in Electrical and Computer Engineering at UC San Diego.
[Jun 2024] Graduated from Chongqing University.

Publications

FACT: Failure-Aware Causal Training for World-Action Models

Quanquan Peng*, Yutong Liang*, Rui Yan, Nicklas Hansen, Xiaolong Wang

Conference on Robot Learning (CoRL 2026)

Website arXiv GitHub PDF

Long-Horizon Manipulation via Trace-Conditioned VLA Planning

Isabella Liu, An-Chieh Cheng, Rui Yan, Geng Chen, Ri-Zhao Qiu, Xueyan Zou, Sha Yi, Hongxu Yin, Xiaolong Wang, Sifei Liu

Conference on Robot Learning (CoRL 2026)

Website arXiv PDF

Human-Robot Copilot for Data-Efficient Imitation Learning

Rui Yan, Zaitian Gongye, Lars Paulsen, Xuxin Cheng, Xiaolong Wang

arXiv preprint

PDF

ACE-F: A Cross Embodiment Foldable System with Force Feedback for Dexterous Teleoperation

Rui Yan, Jiajian Fu, Shiqi Yang, Lars Paulsen, Xuxin Cheng, Xiaolong Wang

Robotics: Science and Systems (RSS 2025) Workshop

Website arXiv GitHub

EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos

Ruihan Yang, Qinxi Yu, Yecheng Wu, Rui Yan, Borui Li, An-Chieh Cheng, Xueyan Zou, Yunhao Fang, Hongxu Yin, Sifei Liu, Song Han, Yao Lu, Xiaolong Wang

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2026)

Website arXiv GitHub

Selected Projects

Attention-Driven Depth Fusion: Leveraging Focus and Single-Image Priors with Self-Cross Attention

Attention-Driven Depth Fusion: Leveraging Focus and Single-Image Priors with Self-Cross Attention

Rui Yan, Zaitian Gongye

We propose an end-to-end model that fuses a single RGB image and its defocus map using attention mechanisms to estimate depth. Instead of handcrafted fusion, it uses self- and cross-attention for uncertainty-aware refinement.

GitHub PDF Video

Work Experience

[Jun 2023 - Dec 2023] Research Assistant at CUHKSZ, advised by Prof. Tianshu Yu
[Jul 2021 - Aug 2021] Robot Engineer at NinboX Institute

Academic Services

Conference Attendee

CES 2026, Las Vegas
CES 2025, Las Vegas
RSS 2025, Los Angeles, California | Wednesday, June 25th, 2025

Journal Reviewer

Currently NA
Social Media
Github
Friend Link
doodledu22
© 2026 Powered by Hugo & iTheme & Jerry