Shenlong is a Senior Research Scientist at Uber ATG R&D working on the development of self-driving vehicles. He is also a PhD student at the University of Toronto whose adviser is Professor Raquel Urtasun. Shenlong has a broad interest in computer vision, machine learning, and robotics. He is particularly interested in 3D vision and deep structured models.
Efficient Graph Generation with Graph Recurrent Attention Networks
Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, William L. Hamilton, David Duvenaud, Raquel Urtasun, Richard S. Zemel (NeurIPS 2019)
Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization
Wei-Chiu Ma*, Ignacio Tartavull*, Ioan Andrei Bârsan*, Shenlong Wang*, Min Bai, Gellért Máttyus, Namdar Homayounfar, Shrinidhi Kowshika Lakshmikanth, Andrei Pokrovsky, Raquel Urtasun (IROS 2019)
TorontoCity: Seeing the World with a Million Eyes
Shenlong Wang, Min Bai, Gellért Máttyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, Raquel Urtasun (ICCV 2017, spotlight)