|
Jiaying Fang I'm a first-year Robotics PhD student at Cornell University, advised by Professor Tapomayukh Bhattacharjee. My research focuses on developing robot policies that can learn from humans and interact with humans. 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. |
|
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. |
TeachingCS5750: Foundations of Robotics Graduate Teaching Assistant, Cornell University, Fall 2025 |