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Zizhao Zhang

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My PhD research focus was computer vision and deep learning, especially their applicaitons in medical imaging and healthcare.

Papers48 papers

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Consistency Regularization for Generative Adversarial Networks

Han Zhang,Zizhao Zhang,Augustus Odena,Honglak Lee

ICLR, (2020)

Cited by8EIBibtex

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Kihyuk Sohn,David Berthelot,Nicholas Carlini,Zizhao Zhang,Han Zhang,Colin A Raffel,Ekin Dogus Cubuk,Alexey Kurakin, Chun-Liang Li

NeurIPS 2020, (2020)

Bibtex

Kullback-Leibler Divergence Metric Learning

Shuyi Ji,Zizhao Zhang, Shihui Ying, Liejun Wang,Xibin Zhao,Yue Gao

IEEE transactions on cybernetics, (2020)

WOSBibtex

Distilling Effective Supervision From Severe Label Noise

Zizhao Zhang, Han Zhang,Sercan Ö. Arik,Honglak Lee,Tomas Pfister

CVPR, pp.9291-9300, (2020)

EIBibtex

A Simple Semi-Supervised Learning Framework for Object Detection

Sohn Kihyuk,Zhang Zizhao, Li Chun-Liang, Zhang Han,Lee Chen-Yu, Pfister Tomas

Bibtex

Improved Consistency Regularization for GANs

Zhao Zhengli, Singh Sameer,Lee Honglak,Zhang Zizhao,Odena Augustus, Zhang Han

Bibtex

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Sohn Kihyuk,Berthelot David,Li Chun-Liang,Zhang Zizhao,Carlini Nicholas,Cubuk Ekin D.,Kurakin Alex,Zhang Han,Raffel Colin

Cited by75Bibtex

Low-resolution Facial Expression Recognition: A Filter Learning Perspective

Yan Yan,Zizhao Zhang,Si Chen,Hanzi Wang

(2020): 107370

Cited by1EIBibtex

fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning

Florian Knoll, Jure Zbontar, Anuroop Sriram, Matthew J Muckley,Mary Bruno,Aaron Defazio, Marc Parente, Krzysztof J Geras, Joe Katsnelson,Hersh Chandarana,Zizhao Zhang, Michal Drozdzalv

Radiology. Artificial intelligence, no. 1 (2020)

Cited by8WOSBibtex

Distance-Based Learning from Errors for Confidence Calibration

Chen Xing,Sercan Arik,Zizhao Zhang, Tomas Pfister

ICLR, (2020)

EIBibtex

Loss-based Attention for Deep Multiple Instance Learning

Xiaoshuang Shi,Fuyong Xing, Yuanpu Xie,Zizhao Zhang,Lei Cui,Lin Yang

national conference on artificial intelligence, (2020)

Bibtex

PseudoSeg: Designing Pseudo Labels for Semantic Segmentation

Yuliang Zou,Zizhao Zhang,Han Zhang, Chun-Liang Li, Xiao Bian,Jia-Bin Huang, Tomas Pfister

Bibtex

IEG: Robust Neural Network Training to Tackle Severe Label Noise

Zhang Zizhao, Zhang Han,Arik Sercan O.,Lee Honglak, Pfister Tomas

Bibtex

Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost

Gao Mingfei,Zhang Zizhao,Yu Guo,Arik Sercan O.,Davis Larry S.,Pfister Tomas

Bibtex

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Zbontar Jure,Knoll Florian, Sriram Anuroop, Murrell Tullie, Huang Zhengnan, Muckley Matthew J.,Defazio Aaron, Stern Ruben, Johnson Patricia,Bruno Mary, Parente Marc,Geras Krzysztof J.

Bibtex

Correction to: Towards pixel-to-pixel deep nucleus detection in microscopy images

Fuyong Xing, Yuanpu Xie,Xiaoshuang Shi, Pingjun Chen,Zizhao Zhang,Lin Yang

BMC Bioinformatics, no. 1 (2019): 1-1

EIBibtex

Text-guided Neural Network Training for Image Recognition in Natural Scenes and Medicine

Zizhao Zhang, Pingjun Chen,Xiaoshuang Shi,Lin Yang

IEEE transactions on pattern analysis and machine intelligence, pp.1-1, (2019)

Cited by4WOSBibtex

Towards pixel-to-pixel deep nucleus detection in microscopy images

Fuyong Xing, Yuanpu Xie,Xiaoshuang Shi, Pingjun Chen,Zizhao Zhang,Lin Yang

BMC Bioinformatics, no. 1 (2019): 1-16

Cited by6WOSEIBibtex

Hypergraph Neural Networks

Yifan Feng,Haoxuan You,Zizhao Zhang,Rongrong Ji,Yue Gao

AAAI, (2019)

Cited by44EIBibtex

Exploring High-Order Correlations for Industry Anomaly Detection

Nan Wang,Zizhao Zhang,Xibin Zhao, Quan Miao,Rongrong Ji, Yue Gao

IEEE Transactions on Industrial Electronics, no. 12 (2019): 9682-9691

Cited by2EIWOSBibtex

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