Zizhao Zhang

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 97

Top Topics

Image Segmentation

Supervised Learning

Cancer Diagnosis

Top Venues

Publications

Elvis Han Cui, Zizhao Zhang, Weng Kee Wong
Optimal designs for nonlinear mixed-effects models using competitive swarm optimizer with mutated agents. Stat. Comput. 34 (5) (2024)
Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning. WACV (2024)
Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs. CoRR (2024)
Zifeng Wang, Chun-Liang Li, Vincent Perot, Long T. Le, Jin Miao, Zizhao Zhang, Chen-Yu Lee, Tomas Pfister
CodecLM: Aligning Language Models with Tailored Synthetic Data. CoRR (2024)
Ying Chen, Yiqi Huang, Zizhao Zhang, Zhen Wang, Bo Liu, Conghui Liu, Cong Huang, Shuangyu Dong, Xuejiao Pu, Fanghao Wan, Xi Qiao, Wanqiang Qian
Plant image recognition with deep learning: A review. Comput. Electron. Agric. 212 (2023)
Elvis Han Cui, Zizhao Zhang, Culsome Junwen Chen, Weng Kee Wong
Metaheuristic Algorithms in Artificial Intelligence with Applications to Bioinformatics, Biostatistics, Ecology and, the Manufacturing Industries. CoRR (2023)
Jingyi Yu, Zizhao Zhang, Shengfu Xia, Jizhang Sang
ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map Construction. CoRL (2023)
Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister
QueryForm: A Simple Zero-shot Form Entity Query Framework. ACL (Findings) (2023)
Zizhao Zhang, Xin Wang, Chaoyu Guan, Ziwei Zhang, Haoyang Li, Wenwu Zhu
AutoGT: Automated Graph Transformer Architecture Search. ICLR (2023)
Shengju Qian, Huiwen Chang, Yuanzhen Li, Zizhao Zhang, Jiaya Jia, Han Zhang
StraIT: Non-autoregressive Generation with Stratified Image Transformer. CoRR (2023)
Zizhao Zhang, Yi Yang, Lutong Zou, He Wen, Tao Feng, Jiaxuan You
RDBench: ML Benchmark for Relational Databases. CoRR (2023)
Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai, Riqiang Gao, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation. Medical Image Anal. 90 (2023)
Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas
Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning. CoRR (2023)
Justin Lazarow, Kihyuk Sohn, Chen-Yu Lee, Chun-Liang Li, Zizhao Zhang, Tomas Pfister
Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised Learning. WACV (2023)
Jingyi Yu, Zizhao Zhang, Shengfu Xia, Jizhang Sang
ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map Construction. CoRR (2023)
Xin Liu, Rong-Xian Yue, Zizhao Zhang, Weng Kee Wong
Correction: G-optimal designs for hierarchical linear models: an equivalence theorem and a nature-inspired meta-heuristic algorithm. Soft Comput. 26 (17) (2022)
Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning. CoRR (2022)
Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister
Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts. AAAI (2022)
Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister
QueryForm: A Simple Zero-shot Form Entity Query Framework. CoRR (2022)
Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning. ECCV (26) (2022)
Shuyi Ji, Zizhao Zhang, Shihui Ying, Liejun Wang, Xibin Zhao, Yue Gao
Kullback-Leibler Divergence Metric Learning. IEEE Trans. Cybern. 52 (4) (2022)
Yue Gao, Zizhao Zhang, Haojie Lin, Xibin Zhao, Shaoyi Du, Changqing Zou
Hypergraph Learning: Methods and Practices. IEEE Trans. Pattern Anal. Mach. Intell. 44 (5) (2022)
Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Sercan Ö. Arik, Tomas Pfister
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding. AAAI (2022)
Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang
Learning Instance-Specific Adaptation for Cross-Domain Segmentation. ECCV (33) (2022)
Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai, Riqiang Gao, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang
UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation. CoRR (2022)
Zizhao Zhang, Yifan Feng, Shihui Ying, Yue Gao
Deep Hypergraph Structure Learning. CoRR (2022)
Zizhao Zhang, Yifei Zhao, Guangda Huzhang
Exploit Customer Life-time Value with Memoryless Experiments. CoRR (2022)
Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang
Learning Instance-Specific Adaptation for Cross-Domain Segmentation. CoRR (2022)
Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
Learning to Prompt for Continual Learning. CVPR (2022)
Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation. ICLR (2021)
Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts. CoRR (2021)
Long Zhao, Zizhao Zhang, Ting Chen, Dimitris N. Metaxas, Han Zhang
Improved Transformer for High-Resolution GANs. NeurIPS (2021)
Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang
Improved Consistency Regularization for GANs. AAAI (2021)
Zizhao Zhang, Jian Liu, Baojuan Li, Yue Gao
Diagnosis of Childhood Autism Using Multi-modal Functional Connectivity via Dynamic Hypergraph Learning. CICAI (2021)
Zizhao Zhang, Pingjun Chen, Xiaoshuang Shi, Lin Yang
Text-Guided Neural Network Training for Image Recognition in Natural Scenes and Medicine. IEEE Trans. Pattern Anal. Mach. Intell. 43 (5) (2021)
Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
Learning to Prompt for Continual Learning. CoRR (2021)
Xiaoshuang Shi, Fuyong Xing, Zizhao Zhang, Manish Sapkota, Zhenhua Guo, Lin Yang
A Scalable Optimization Mechanism for Pairwise Based Discrete Hashing. IEEE Trans. Image Process. 30 (2021)
Long Zhao, Zizhao Zhang, Ting Chen, Dimitris N. Metaxas, Han Zhang
Improved Transformer for High-Resolution GANs. CoRR (2021)
Zizhao Zhang, Tomas Pfister
Learning Fast Sample Re-weighting Without Reward Data. ICCV (2021)
Xin Liu, Rong-Xian Yue, Zizhao Zhang, Weng Kee Wong
G-optimal designs for hierarchical linear models: an equivalence theorem and a nature-inspired meta-heuristic algorithm. Soft Comput. 25 (21) (2021)
Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Tomas Pfister
Aggregating Nested Transformers. CoRR (2021)
Zizhao Zhang, Tomas Pfister
Learning Fast Sample Re-weighting Without Reward Data. CoRR (2021)
Chen Xing, Sercan Ömer Arik, Zizhao Zhang, Tomas Pfister
Distance-Based Learning from Errors for Confidence Calibration. ICLR (2020)
Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan Ömer Arik, Larry S. Davis, Tomas Pfister
Consistency-Based Semi-supervised Active Learning: Towards Minimizing Labeling Cost. ECCV (10) (2020)
Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Zizhao Zhang, Lei Cui, Lin Yang
Loss-Based Attention for Deep Multiple Instance Learning. AAAI (2020)
Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang
Improved Consistency Regularization for GANs. CoRR (2020)
Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister
Distilling Effective Supervision From Severe Label Noise. CVPR (2020)
Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li, Han Zhang, Chen-Yu Lee, Tomas Pfister
A Simple Semi-Supervised Learning Framework for Object Detection. CoRR (2020)
Yan Yan, Zizhao Zhang, Si Chen, Hanzi Wang
Low-resolution facial expression recognition: A filter learning perspective. Signal Process. 169 (2020)
Zizhao Zhang, Weng Kee Wong, Kay Chen Tan
Competitive swarm optimizer with mutated agents for finding optimal designs for nonlinear regression models with multiple interacting factors. Memetic Comput. 12 (3) (2020)
Kihyuk Sohn, David Berthelot, Chun-Liang Li, Zizhao Zhang, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Han Zhang, Colin Raffel
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. CoRR (2020)
Han Zhang, Zizhao Zhang, Augustus Odena, Honglak Lee
Consistency Regularization for Generative Adversarial Networks. ICLR (2020)
Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation. CoRR (2020)
Zhengli Zhao, Zizhao Zhang, Ting Chen, Sameer Singh, Han Zhang
Image Augmentations for GAN Training. CoRR (2020)
Kihyuk Sohn, David Berthelot, Nicholas Carlini, Zizhao Zhang, Han Zhang, Colin Raffel, Ekin Dogus Cubuk, Alexey Kurakin, Chun-Liang Li
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. NeurIPS (2020)
Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao
Hypergraph Neural Networks. AAAI (2019)
Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister
IEG: Robust Neural Network Training to Tackle Severe Label Noise. CoRR (2019)
Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan Ömer Arik, Larry S. Davis, Tomas Pfister
Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost. CoRR (2019)
Heyuan Shi, Yubo Zhang, Zizhao Zhang, Nan Ma, Xibin Zhao, Yue Gao, Jiaguang Sun
Hypergraph-Induced Convolutional Networks for Visual Classification. IEEE Trans. Neural Networks Learn. Syst. 30 (10) (2019)
Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition. CoRR (2019)
Lei Cui, Jun Feng, Zizhao Zhang, Lin Yang
High throughput automatic muscle image segmentation using parallel framework. BMC Bioinform. 20 (1) (2019)
Nan Wang, Zizhao Zhang, Xibin Zhao, Quan Miao, Rongrong Ji, Yue Gao
Exploring High-Order Correlations for Industry Anomaly Detection. IEEE Trans. Ind. Electron. 66 (12) (2019)
Zizhao Zhang, Pingjun Chen, Mason McGough, Fuyong Xing, Chunbao Wang, Marilyn Bui, Yuanpu Xie, Manish Sapkota, Lei Cui, Jasreman Dhillon, Nazeel Ahmad, Farah K. Khalil, Shohreh I. Dickinson, Xiaoshuang Shi, Fujun Liu, Hai Su, Jinzheng Cai, Lin Yang
Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. 1 (6) (2019)
Han Zhang, Zizhao Zhang, Augustus Odena, Honglak Lee
Consistency Regularization for Generative Adversarial Networks. CoRR (2019)
Chen Xing, Sercan Ömer Arik, Zizhao Zhang, Tomas Pfister
Distance-Based Learning from Errors for Confidence Calibration. CoRR (2019)
Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal
Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition. CVPR (2019)
Fuyong Xing, Yuanpu Xie, Xiaoshuang Shi, Pingjun Chen, Zizhao Zhang, Lin Yang
Correction to: Towards pixel-to-pixel deep nucleus detection in microscopy images. BMC Bioinform. 20 (1) (2019)
Zizhao Zhang, Pingjun Chen, Mason McGough, Fuyong Xing, Chunbao Wang, Marilyn Bui, Yuanpu Xie, Manish Sapkota, Lei Cui, Jasreman Dhillon, Nazeel Ahmad, Farah K. Khalil, Shohreh I. Dickinson, Xiaoshuang Shi, Fujun Liu, Hai Su, Jinzheng Cai, Lin Yang
Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. 1 (8) (2019)
Fuyong Xing, Yuanpu Xie, Xiaoshuang Shi, Pingjun Chen, Zizhao Zhang, Lin Yang
Towards pixel-to-pixel deep nucleus detection in microscopy images. BMC Bioinform. 20 (1) (2019)
Zizhao Zhang, Pingjun Chen, Mason McGough, Fuyong Xing, Chunbao Wang, Marilyn Bui, Yuanpu Xie, Manish Sapkota, Lei Cui, Jaspreet Singh Dhillon, Nazeel Ahmad, Farah K. Khalil, Shohreh I. Dickinson, Xiaoshuang Shi, Fujun Liu, Hai Su, Jinzheng Cai, Lin Yang
Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. 1 (5) (2019)
Jinzheng Cai, Zizhao Zhang, Lei Cui, Yefeng Zheng, Lin Yang
Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network. Medical Image Anal. 52 (2019)
Jure Zbontar, Florian Knoll, Anuroop Sriram, Matthew J. Muckley, Mary Bruno, Aaron Defazio, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Michael G. Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, Nafissa Yakubova, Erich Owens, C. Lawrence Zitnick, Michael P. Recht, Daniel K. Sodickson, Yvonne W. Lui
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. CoRR (2018)
Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao
Hypergraph Neural Networks. CoRR (2018)
Yifan Feng, Zizhao Zhang, Xibin Zhao, Rongrong Ji, Yue Gao
GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition. CVPR (2018)
Zizhao Zhang, Haojie Lin, Yue Gao
Dynamic Hypergraph Structure Learning. IJCAI (2018)
Zizhao Zhang, Yuanpu Xie, Lin Yang
Photographic Text-to-Image Synthesis With a Hierarchically-Nested Adversarial Network. CVPR (2018)
Hongyu Wang, Jun Feng, Zizhao Zhang, Hai Su, Lei Cui, Hua He, Li Liu
Breast mass classification via deeply integrating the contextual information from multi-view data. Pattern Recognit. 80 (2018)
Zizhao Zhang, Yuanpu Xie, Lin Yang
Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network. CoRR (2018)
Zizhao Zhang, Haojie Lin, Xibin Zhao, Rongrong Ji, Yue Gao
Inductive Multi-Hypergraph Learning and Its Application on View-Based 3D Object Classification. IEEE Trans. Image Process. 27 (12) (2018)
Xiaoshuang Shi, Fuyong Xing, Zizhao Zhang, Manish Sapkota, Zhenhua Guo, Lin Yang
A Scalable Optimization Mechanism for Pairwise based Discrete Hashing. CoRR (2018)
Zizhao Zhang, Haojie Lin, Junjie Zhu, Xibin Zhao, Yue Gao
Cross Diffusion on Multi-hypergraph for Multi-modal 3D Object Recognition. PCM (1) (2018)
Zizhao Zhang, Lin Yang, Yefeng Zheng
Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network. CoRR (2018)
Zizhao Zhang, Lin Yang, Yefeng Zheng
Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network. CVPR (2018)
Zizhao Zhang, Fuyong Xing, Hanzi Wang, Yan Yan, Ying Huang, Xiaoshuang Shi, Lin Yang
Revisiting graph construction for fast image segmentation. Pattern Recognit. 78 (2018)
Zizhao Zhang, Yubo Zhang, Xibin Zhao, Yue Gao
EMD Metric Learning. AAAI (2018)
Zizhao Zhang, Fuyong Xing, Hai Su, Xiaoshuang Shi, Lin Yang
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection. CoRR (2017)
Zizhao Zhang, Yuanpu Xie, Fuyong Xing, Mason McGough, Lin Yang
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network. CoRR (2017)
Zizhao Zhang, Yuanpu Xie, Fuyong Xing, Mason McGough, Lin Yang
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network. CVPR (2017)
Zizhao Zhang, Pingjun Chen, Manish Sapkota, Lin Yang
TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References. CoRR (2017)
Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang
Revisiting Graph Construction for Fast Image Segmentation. CoRR (2017)
Zizhao Zhang, Pingjun Chen, Manish Sapkota, Lin Yang
TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References. MICCAI (3) (2017)
Yuanpu Xie, Zizhao Zhang, Manish Sapkota, Lin Yang
Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation. MICCAI (2) (2016)
Xiaoshuang Shi, Fuyong Xing, Jinzheng Cai, Zizhao Zhang, Yuanpu Xie, Lin Yang
Kernel-Based Supervised Discrete Hashing for Image Retrieval. ECCV (7) (2016)
Jinzheng Cai, Le Lu, Zizhao Zhang, Fuyong Xing, Lin Yang, Qian Yin
Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks. MICCAI (2) (2016)
Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang
SemiContour: A Semi-supervised Learning Approach for Contour Detection. CoRR (2016)
Fuyong Xing, Xiaoshuang Shi, Zizhao Zhang, Jinzheng Cai, Yuanpu Xie, Lin Yang
Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation. MICCAI (3) (2016)
Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang
SemiContour: A Semi-Supervised Learning Approach for Contour Detection. CVPR (2016)
Fujun Liu, Fuyong Xing, Zizhao Zhang, Mason McGough, Lin Yang
Robust Muscle Cell Quantification Using Structured Edge Detection and Hierarchical Segmentation. MICCAI (3) (2015)
Zizhao Zhang, Yan Yan, Hanzi Wang
Discriminative filter based regression learning for facial expression recognition. ICIP (2013)