Zizhao Zhang

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 Gemini at Google.  

Selected Publications

[ACL'23] QueryForm: A Simple Zero-shot Form Entity Query Framework, Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer Dy, Vincent Perot, Tomas Pfister

[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)

[CVPR'22] Learning to Prompt for Continual Learning, Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer Dy, Tomas Pfister (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

[NeurIPS'21] Improved Transformer for High-Resolution GANs, Long Zhao, Zizhao Zhang, Ting Chen, Dimitris N. Metaxas, Han Zhang (code)

[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)

Before 2020