I completed my PhD since 2019. 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 machine learning and computer vision research at Google.
I am actively looking for self-motivated interns to explore advanced research topics (e.g. data-centric AI). Contact me if you are interested (starting time is flexiable).
[ECCV'22] DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning, Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer Dy, Tomas Pfister (code)
[ECCV'22] Learning Instance-Specific Adaptation for Cross-Domain Segmentation, Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang (project page) (code)
[AAAI'22] Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding, Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Sercan O Arik, Tomas Pfister (code and models) (pytorch code in timm), Oral Presentation
[AAAI'22] Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts, Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister
[ICCV'21] Learning Fast Sample Re-weighting Without Reward Data, Zizhao Zhang, Tomas Pfister (code)
[ICLR'21] PseudoSeg: Designing Pseudo Labels for Semantic Segmentation, Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister (code)
[AAAI'21] Improved Consistency Regularization for GANs, Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang
[NeurIPS'20] 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)
[ECCV'20] Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost, Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan O Arik, Larry S Davis, Tomas Pfister
[CVPR'20] Distilling Effective Supervision from Severe Label Noise, Zizhao Zhang, Han Zhang, Sercan O Arik, Honglak Lee, Tomas Pfister (code)
[ICLR'20] Consistency Regularization for Generative Adversarial Networks, Han Zhang, Zizhao Zhang, Augustus Odena, Honglak Lee
[ICLR'20] Distance-Based Learning from Errors for Confidence Calibration, Chen Xing, Sercan Arik, Zizhao Zhang, Tomas Pfister (code)
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