I completed my PhD at Computer Information and Science Engineering, University of Florida. I also spent great time at Siemens Research and Facebook AI Research (FAIR). My PhD research focus was computer vision and deep learning, especially their applicaitons in medical imaging and healthcare.
I am working on AI research at Google. Please contact me if you are interested in interns in robust&efficient deep learning and computer vision.
Selected Publications & Preprints
Distilling Effective Supervision from Severe Label Noise, Zizhao Zhang, Han Zhang, Sercan O Arik, Honglak Lee, Tomas Pfister, CVPR 2020 [code]
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence, Kihyuk Sohn*, David Berthelot*, Chun-Liang Li, Zizhao Zhang, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Han Zhang, Colin Raffel [code]
Consistency Regularization for Generative Adversarial Networks, Han Zhang, Zizhao Zhang, Augustus Odena, Honglak Lee. ICLR, 2020.
Distance-Based Learning from Errors for Confidence Calibration, Chen Xing, Sercan Arik, Zizhao Zhang, Tomas Pfister, ICLR, 2020 [code]
Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost, Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan O Arik, Larry S Davis, Tomas Pfister, arXiv preprint, 2020
Pathologist-level interpretable whole-slide cancer diagnosis with deep learning
fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning
J. Zbontar, F. Knoll, A. Sriram, M. J. Muckley, M. Bruno, A. Defazio, M. Parente, K. J. Geras, J. Katsnelson, H. Chandarana, Z. Zhang, M. Drozdzal, A. Romero, M. Rabbat, P. Vincent, J. Pinkerton, D. Wang, N. Yakubova, E. Owens, C. L. Zitnick, M. P. Recht, D. K. Sodickson, Y. W. Lui, Radiology: Artificial Intelligence, 2019