Kuan-Chieh (Jackson) Wang

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Richard ZemelProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Jörn-Henrik JacobsenApple AI/ML ResearchVerified email at vectorinstitute.ai
Will GrathwohlResearch Scientist, DeepmindVerified email at deepmind.com
David DuvenaudAssistant Professor, University of TorontoVerified email at cs.toronto.edu
Paul VicolUniversity of Toronto & Vector InstituteVerified email at cs.toronto.edu
Thomas KipfSenior Research Scientist, Google BrainVerified email at google.com
Max WellingProfessor Machine Learning, University of AmsterdamVerified email at uva.nl
Ethan FetayaBar-Ilan UniversityVerified email at biu.ac.il
James LucasPhD Candidate, University of Toronto; Vector InstituteVerified email at cs.toronto.edu
Roger GrosseAssociate Professor, University of TorontoVerified email at cs.toronto.edu
Jixuan WangPhD, University of TorontoVerified email at cs.toronto.edu
Kevin SwerskyGoogle BrainVerified email at cs.toronto.edu
Mohammad NorouziGoogle BrainVerified email at google.com
Frank RudziczUniversity of Toronto, Department of Computer Science; Vector Institute for Artificial IntelligenceVerified email at cs.toronto.edu
Eleni TriantafillouGoogle BrainVerified email at google.com
Jens BehrmannApple AI/ML ResearchVerified email at apple.com
Marc T. LawResearch Scientist at NVIDIAVerified email at nvidia.com
Li GuNoah’s Ark Lab, Huawei CanadaVerified email at huawei.com
Xaq PitkowAssociate Professor of Computational Neuroscience, Baylor College of Medicine and Rice UniversityVerified email at rice.edu
Mengye RenNYUVerified email at nyu.edu

Kuan-Chieh (Jackson) Wang

Stanford University

Verified email at stanford.edu - Homepage

Machine Learning Computer Vision Human Motion Analysis


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Neural relational inference for interacting systems T Kipf, E Fetaya, KC Wang, M Welling, R Zemel ICML, 2018	622	2018
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One W Grathwohl, KC Wang, JH Jacobsen, D Duvenaud, M Norouzi, ... ICLR, 2019	313	2019
Lingvo: a modular and scalable framework for sequence-to-sequence modeling J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ... Tech report, 2019	157	2019
Centroid-based deep metric learning for speaker recognition J Wang, KC Wang, MT Law, F Rudzicz, M Brudno ICASSP, 2019	99	2019
Classifying NBA offensive plays using neural networks KC Wang, R Zemel Proceedings of MIT Sloan Sports Analytics Conference 4, 2016	81	2016
Learning the stein discrepancy for training and evaluating energy-based models without sampling W Grathwohl, KC Wang, JH Jacobsen, D Duvenaud, R Zemel ICML, 2020	64*	2020
Adversarial distillation of bayesian neural network posteriors KC Wang, P Vicol, J Lucas, L Gu, R Grosse, R Zemel ICML, 2018	58	2018
Understanding and mitigating exploding inverses in invertible neural networks J Behrmann, P Vicol, KC Wang, R Grosse, JH Jacobsen AISTATS, 2021	57	2021
A systematic review of ultrasound imaging as a tool for evaluating haemophilic arthropathy in children and adults CC Ligocki, A Abadeh, KC Wang, T Adams‐Webber, VS Blanchette, ... Haemophilia 23 (4), 598-612, 2017	37	2017
Evidence-based outcomes on diagnostic accuracy of quantitative ultrasound for assessment of pediatric osteoporosis—A systematic review KC Wang, KC Wang, A Amirabadi, E Cheung, E Uleryk, R Moineddin, ... Pediatric radiology 44, 1573-1587, 2014	19	2014
Variational Model Inversion Attacks KC Wang, Y Fu, K Li, AJ Khisti, R Zemel, A Makhzani NeurIPS, 2021	12	2021
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation J Wang, KC Wang, F Rudzicz, M Brudno NeurIPS, 2021	10	2021
Few-Shot Attribute Learning M Ren, E Triantafillou, KC Wang, J Lucas, J Snell, X Pitkow, AS Tolias, ...	7*	2020
Few-shot Out-of-Distribution Detection K Wang, P Vicol, E Triantafillou, R Zemel ICML Workshop on Uncertainty and Robustness in Deep Learning, 2020	5*	2020
Customizable Facial Gesture Recognition for Improved Assistive Technology KC Wang, J Wang, K Truong, R Zemel AI4SG workshop at ICLR, 2019	4	2019
Longitudinal assessment of bone loss using quantitative ultrasound in a blood‐induced arthritis rabbit model KC Wang, A Amirabadi, KC Wang, R Moineddin, R Jong, C Tomlinson, ... Haemophilia 21 (5), e402-e410, 2015	4	2015
Disentanglement and Generalization Under Correlation Shifts CM Funke, P Vicol, KC Wang, M Kümmerer, R Zemel, M Bethge CoLLA, 2021	1	2021
NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action KC Wang, Z Weng, M Xenochristou, JP Araujo, J Gu, CK Liu, S Yeung arXiv preprint arXiv:2212.13660, 2022		2022
PROB: Probabilistic Objectness for Open World Object Detection O Zohar, KC Wang, S Yeung arXiv preprint arXiv:2212.01424, 2022		2022
Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery Z Weng, KC Wang, A Kanazawa, S Yeung arXiv preprint arXiv:2206.10457, 2022		2022

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