Jiaying Fang

I'm a first-year Robotics PhD student at Cornell University, advised by Professor Tapomayukh Bhattacharjee. My research focuses on Robotics, Machine Learning, and their applications in Robot Caregiving.

I received my MS in EE from Stanford University where I was fortunate to have worked with Professor Jeannette Bohg and Professor Allison Okamura. In summer 2024, I interned at Intuitive Surgical. Prior to that, I received my BEng (Hons) in EIE from Hong Kong Polytechnic University.

Email  /  Scholar  /  Twitter  /  Github

profile photo

Selected Publications

Masquerade: Learning from In-the-wild Human Videos using Data-Editing
Marion Lepert*, Jiaying Fang*, Jeannette Bohg
Pre-Print, 2025
project page / arXiv

We introduce a method that edits in-the-wild egocentric human videos to bridge the visual embodiment gap between humans and robots and then learns a robot policy with these edited videos.

Phantom: Training Robots Without Robots Using Only Human Videos
Marion Lepert, Jiaying Fang, Jeannette Bohg
CoRL, 2025
project page / arXiv

We present a scalable framework for training manipulation policies directly from human video demonstrations, requiring no robot data.

Teaching

CS5750: Foundations of Robotics Graduate Teaching Assistant, Cornell University, Fall 2025

The website template was borrowed from Jon Barron.