Jingkang Wang      

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I am a first-year Ph.D. student in Machine Learning Group, CS Department, University of Toronto. My advisors are Prof. Raquel Urtasun and Prof. Richard Zemel. I am also part of Uber ATG and Vector Institute. I received my B.S. degree from Shanghai Jiao Tong University advised by Prof. Cewu Lu.

My research interests involve Machine Learning and Computer Vision. Prior to UofT, I spent a wonderful year working with Prof. Bo Li at UIUC as a research intern and did some works on trustworthy machine learning.

University of Toronto, Canada
Ph.D. in Computer Science

Shanghai Jiao Tong University, China
B.S. in Engineering

Towards a Unified Min-Max Framework for Adversarial Exploration and Robustness
Jingkang Wang*, Tianyun Zhang*, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad and Bo Li
arXiv preprint arXiv:1906.03563

Reinforcement Learning with Perturbed Rewards
Jingkang Wang, Yang Liu and Bo Li
AAAI Conference on Artificial Intelligence (AAAI), 2020 (Spotlight)
[paper] [code]

Multiple Character Embeddings for Chinese Word Segmentation
Jingkang Wang*, Jianing Zhou*, Jie Zhou and Gongshen Liu
Annual Meeting of the Association for Computational Linguistics (ACL), Student Research Workshop, 2019 [paper] [code]

LiDAR-Video Driving Dataset: Learning Driving Policies Effectively
Yiping Chen*, Jingkang Wang*, Jonathan Li, Cewu Lu, Zhipeng Luo, Han Xue and Cheng Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
[paper] [code] [dataset]

Ant Financial, Alibaba Group
Research Intern

University of Illinois at Urbana-Champaign
Research Intern at CSD*   (* = remote work)

University of California, Berkeley
Research Intern at BAIR Lab*   (* = remote work)

Machine Vision and Intelligence Group (MVIG)
Research Assistant

Thanks jonbarron for this amazing work.