Yan Wang

PhD Student, Computer Science, Cornell University yw763@cornell.edu

Hi, I am Yan Wang, a second-year Ph.D. student in Computer Science Department of Cornell University, advised by Kilian Q. Weinberge, Bharath Hariharan and Mark Campbell. My research interests are Computer Vision and Machine Learning, especially loving stereo image depth estimation and 3D object detection. I recieved my B.S. in Computer Science from Huazhong University of Sci. & Tech., advised by Kun He. Before joining Cornell, I am honored to have interned in Eric Chang's group at Microsoft Research Asia. (C.V.)


[project page] [video] Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving.

Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger

arXiv Preprint (2018).

[project page] [video] [code] Anytime Stereo Image Depth Estimation on Mobile Devices.

Yan Wang*, Zihang Lai*, Gao Huang, Brian H. Wang, Laurens van der Maaten, Mark Campbell, Kilian Q. Weinberger

International Conference on Robotics and Automation (ICRA) 2019.

Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking.

Brian H. Wang, Yan Wang, Kilian Q. Weinberger, Mark Campbell

arXiv Preprint (2018).

[code] Resource Aware Person Re-identification across MultipleResolutions.

Yan Wang*, Lequn Wang*, Yurong You*, Xu Zou, Vincent Chen, Serena Li, Bharath Hariharan, Gao Huang, Kilian Q. Weinberger

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018

A Powerful Generative Model Using RandomWeights for the Deep Image Representation.

Kun He*, Yan Wang*, John E. Hopcroft*

Neural Information Processing Systems (NIPS) 2016

* denotes equal contribution.


Research Intern

Microsoft Research Asia, Advisor: Eric Chang, March 2017 - July 2017

Cornell University, Advisor: John E. Hopcroft, April 2016 - May 2016

Research Assistant

Kilian Q. Weinberger's Lab at Cornell University, Advisor: Kilian Q. Weinberge, September 2017 - Present

John E. Hopcroft Lab at HUST, Advisor: Kun He, July 2015 - June 2016

Services Computing Technology and System Lab at HUST, Advisor: Hai Jin, September 2014 - June 2015

Intelligent and Distributed Computing Lab at HUST, Advisor: Ruixuan Li, September 2013 - September 2014

Academic Service

Reviewer of NIPS-16, AAAI-18, ICRA-19, CVPR-19, ICML-19

Teaching Assistant

CS 1112: Introduction to Computing using Matlab, February 2018 - June 2018

CS 4810: Introduction to Theory of Computing, September 2017 - December 2017


CVPR-18 Conference


Cornell University

Ph.D. student, Computer Science
August 2017 - June 2022

Huazhong University of science and technology

Bachelor of engineer, Computer Science
Student at ACM Elite Class, Overall GPA: 3.9/4.0
Advisor: Kun He
September 2012 - July 2016

Honors & Awards

  • Cornell Graduate Student Travel Grant (CVPR 2018)
  • NIPS Student Travel Grant (NIPS 2016)
  • Best Bachelor Dissertation Award in Hubei Province (2016)
  • National Scholarship of China (2015)
  • National Endeavor Scholarship of China (2013)