Department of Computer Science
Stanford University

Office: Room 245 Gates Building

Mail: 353 Serra Mall, Gates Building, Stanford, CA 94305-9020

Email:lijiali [at]cs.stanford [dot] edu


About Me:

 I am the Head of R&D of Goolge Cloud AI, President of the Google AI China Center and an Adjunct Professor at Stanford University in the School of Medicine. In Healthcare, I am interested in how AI could improve the outcomes of individual patients as well as hospitals. At Google Cloud AI, our mission is to democratize AI and advance AI. My org focus on both research innovation to solve real world problems and developing the full stack of AI products on Google Cloud to power solutions for diverse industries. Before joining Google, I was the Head of Research at Snap, leading the research innovation effort. Before Snap, I led the Visual Computing and Learning Group at Yahoo! Labs. In 2014, I was selected to receive the Super Star award at Yahoo!, the highest award at the company. I was also awarded the Master Inventor Award for my innovations in AI/ML. I received my Ph.D. degree from the Computer Science Department at Stanford University. I was the leader of the OPTIMOL team, which won the first prize in the Semantic Robotics Vision Challenge sponsored by NSF and AAAI in 2007. I served as the Program Chair of ACM Multimedia 2017, Area Chair of ICCV 2017, Industry Relationship Chair of CVPR 2016 and Volunteers Chair of CVPR 2010. I am serving the The Computer Vision Foundation Industrial Advisory Board and the Associate Editor of the Visual Computer: International Journal of Computer Graphics by Springer. My work has been reported in the media including: Forbes, TechCrunch, CNBC, New Scientist, MIT Technology Review and more in recent years.


News and events:

2015.02 I am serving as the Industry Chair in CVPR 2016.
2014.06 I am serving as an area chair in WACV 2015.
2014.06 Check out our CVPR paper for co-localizing objects in large scale Internet dataset such as ImageNet and Flickr! PDF. Code available!
2013.09 Our Object Bank paper is accepted by IJCV.

We have 2 papers accepted by NIPS 2010.
Object Bank: A High-Level Image Representation for Scene Classification and Semantic Feature Sparsification, Li*, Su*, Xing and Fei-Fei;  
Large Margin Learning of Upstream Scene Understanding Models, Zhu, Li, Fei-Fei and Xing.

Our paper 'Objects as Attributes for Scene Classification' is accepted by the 12th European Conference of Computer Vision (ECCV), 1st International Workshop on Parts and Attributes. 2010 PDF
I served as the Volunteer Chair in CVPR 2010
Invited book chapter is published. What, Where and Who? Telling the Story of an Image by Activity Classification, Scene Recognition and Object Categorization in "Studies in Computational Intelligence- Computer Vision". Volume 285/2010, Springer, 2010 PDF
Our paper ' Building and Using a Semantivisual Image Hierarchy ' is accepted by IEEE Computer Vision and Pattern Recognition (CVPR). 2010. PDF



Press Coverage:

Featured Research Insight: Does Content Matter? in Yahoo! Labs Headline News Dec. 8, 2011

Illinois-Princeton team takes first place in robot vision competition in UIUC ECE Headline News. August 22, 2007.

Robots surf the web to learn about the world in New Scientist. August 17, 2007.
Princeton Wins Robot Vision Competition in Princeton CS News. July 31, 2007.


Last modified Nov. 2014 by Jia Li