Photo credit to Sijia Xiao.


I am a first-year Ph.D. Candidate at Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT, advised by Prof. Antonio Torralba and Prof. Russ Tedrake. Before coming to MIT, I recieved the B.S. in Computer Science from Peking University in 2017.

My research is on computer vision, machine learning and robotics. Particularly, I am interested in multimodal perception and how it can enable better robotic manipulation skills.



Publications:

(* indicate equal contribution)

Yunzhu Li, Jiaming Song and Stefano Ermon
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
NIPS 2017, Long Beach, CA, USA, December 2017
[PDF] [Code] [Poster] [Video]

Yunzhu Li*, Andre Esteva*, Brett Kuprel, Rob Novoa, Justin Ko and Sebastian Thrun
Skin Cancer Detection and Tracking using Data Synthesis and Deep Learning
NIPS 2016 Workshop on Machine Learning for Health, Barcelona, Spain, December 2016
AAAI 2017 Joint Workshop on Health Intelligence, San Francisco, CA, USA, Feburary 2017
[PDF]

Yunzhu Li*, Benyuan Sun*, Tianfu Wu and Yizhou Wang
Face Detection with End-to-End Integration of a ConvNet and a 3D Model
ECCV 2016, Amsterdam, The Netherlands, October 2016
[PDF] [Code] [Poster]



Education:



Experience:



Selected Honors:



Professional Service:



Contact:

MIT Computer Science & Artificial Intelligence Lab
32 Vassar Street, 32-380
Cambridge, MA 02139
liyunzhu@mit.edu
[Google Scholar] [Github]