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

Learning to Communicate and Correct Pose Errors
Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun
Conference on Robot Learning (CoRL), 2020

Cost-Efficient Online Hyperparameter Optimization
Jingkang Wang*, Mengye Ren*, Ilija Bogunovic, Yuwen Xiong, Raquel Urtasun
International Conference on Machine Learning (ICML), RealML Workshop, 2020

Policy Learning Using Weak Supervision
Jingkang Wang*, Hongyi Guo*, Zhaowei Zhu, Yang Liu
arXiv preprint arXiv:2010.01748

Is Robust Neurons’ Activation Sufficient to Robustify CNNs against Adversarial Attacks?
Jingkang Wang*, Gaoyuan Zhang*, Sijia Liu
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), AdvML Workshop, 2020

BabyAI++: Towards Grounded-Language Learning beyond Memorization
Tianshi Cao*, Jingkang Wang*, Annie Zhang*, Sivabalan Manivasagam*
International Conference on Learning Representations (ICLR), BeTR-RL Workshop, 2020
[paper] [code] [media]

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]

On the Impact of Perceptual Compression on Deep Learning
Gerald Friedland, Ruoxi Jia, Jingkang Wang, Bo Li and Nathan Mundhenk.
International Conference on Multimedia Information Processing and Retrieval (MIPR), 2020.
[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
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.