Baidu Institute of Deep Learning,

Building 2, Baidu Technology Park,

Haidian, Beijing

Email: linyuanqing AT baidu DOT com

Here is my CV.

 


Welcome

 

Thanks for visiting my webpage. I joined Baidu in November 2015. I am now the director of the Baidu Institute of Deep Learning, and the Deputy General Manager of the Baidu Autonomous Driving Business Unit. Before that, I was the head of the Media Analytics Department at NEC Labs America. My main research interests are in machine learning and computer vision.

Make everything as simple as possible, but not simpler -- Albert Einstein.

 

What is new: 

04/16/2015: I server as an Area Chair at NIPS 2015.

02/25/2015: I am co-organizing the BigVision Workshop again this year with Olga, Jia, Jason, Samy and Fei-Fei: International Workshop on Large Scale Visual Recognition and Retrieval.

10/03/2014: I gave an invited talk at the Bay Area Vision Meeting: Building Blocks for Visual 3D Scene Understanding towards Autonomous Driving.

02/25/2014: Together with Jia, Alex, Jason, Samy and Fei-Fei, I am co-organizing the BigVision Workshop 2014 at CVPR: International Workshop on Large Scale Visual Recognition and Retrieval.

01/24/2014: I gave an invited talk at University of Pennsylvania Robotics Industry Day. Here are the talk slides: "Towards Visual 3D Scene Understanding for Autonomous driving" (8MB).

09/14/2012: I was invited to give a talk at Bay Area Vision Meeting. Here are the talk slides: "Building blocks in fine-grained image classification" (43MB).

08/16/2012: With Samy, Jia and Fei-Fei, I am co-organizing NIPS workshop of Big Data Meets Computer Vision: First International Workshop on Large Scale Visual Recognition and Retrieval (BigVision 2012).

06/26/2012: Two papers were accepted by ECCV.

02/14/2011: Two papers were accepted by CVPR.

09/10/2010: Our team, NEC-UIUC, won the N0.1 place in ImageNet Large Scale Visual Recognition Challenge. I represented the team to give the winner talk at ECCV workshop. Here are the slides.

09/01/2010: Our paper, Deep Coding Network , is accepted to NIPS. Here is the paper.