Zizhao Zhang

According to our database, Zizhao Zhang authored at least 76 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Optimal designs for nonlinear mixed-effects models using competitive swarm optimizer with mutated agents.

Elvis Han Cui, Zizhao Zhang, Weng Kee Wong

Stat. Comput., October, 2024

RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation.

Dongyu Ru, Lin Qiu, Xiangkun Hu, Tianhang Zhang, Peng Shi, Shuaichen Chang, Cheng Jiayang, Cunxiang Wang, Shichao Sun, Huanyu Li, Zizhao Zhang, Binjie Wang, Jiarong Jiang, Tong He, Zhiguo Wang, Pengfei Liu, Yue Zhang, Zheng Zhang

CoRR, 2024

OpenResearcher: Unleashing AI for Accelerated Scientific Research.

Yuxiang Zheng, Shichao Sun, Lin Qiu, Dongyu Ru, Cheng Jiayang, Xuefeng Li, Jifan Lin, Binjie Wang, Yun Luo, Renjie Pan, Yang Xu, Qingkai Min, Zizhao Zhang, Yiwen Wang, Wenjie Li, Pengfei Liu

CoRR, 2024

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs.

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

CoRR, 2024

Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning.

Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs.

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

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

CodecLM: Aligning Language Models with Tailored Synthetic Data.

Zifeng Wang, Chun-Liang Li, Vincent Perot, Long T. Le, Jin Miao, Zizhao Zhang, Chen-Yu Lee, Tomas Pfister

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

2023

UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation.

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

Medical Image Anal., December, 2023

Plant image recognition with deep learning: A review.

Ying Chen, Yiqi Huang, Zizhao Zhang, Zhen Wang, Bo Liu, Conghui Liu, Cong Huang, Shuangyu Dong, Xuejiao Pu, Fanghao Wan, Xi Qiao, Wanqiang Qian

Comput. Electron. Agric., September, 2023

Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning.

Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas

CoRR, 2023

StraIT: Non-autoregressive Generation with Stratified Image Transformer.

Shengju Qian, Huiwen Chang, Yuanzhen Li, Zizhao Zhang, Jiaya Jia, Han Zhang

CoRR, 2023

Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised Learning.

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

AutoGT: Automated Graph Transformer Architecture Search.

Zizhao Zhang, Xin Wang, Chaoyu Guan, Ziwei Zhang, Haoyang Li, Wenwu Zhu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map Construction.

Jingyi Yu, Zizhao Zhang, Shengfu Xia, Jizhang Sang

Proceedings of the Conference on Robot Learning, 2023

QueryForm: A Simple Zero-shot Form Entity Query Framework.

Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Kullback-Leibler Divergence Metric Learning.

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

IEEE Trans. Cybern., 2022

Correction: G-optimal designs for hierarchical linear models: an equivalence theorem and a nature-inspired meta-heuristic algorithm.

Xin Liu, Rong-Xian Yue, Zizhao Zhang, Weng Kee Wong

Soft Comput., 2022

Hypergraph Learning: Methods and Practices.

Yue Gao, Zizhao Zhang, Haojie Lin, Xibin Zhao, Shaoyi Du, Changqing Zou

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Deep Hypergraph Structure Learning.

Zizhao Zhang, Yifan Feng, Shihui Ying, Yue Gao

CoRR, 2022

Exploit Customer Life-time Value with Memoryless Experiments.

Zizhao Zhang, Yifei Zhao, Guangda Huzhang

CoRR, 2022

Learning Instance-Specific Adaptation for Cross-Domain Segmentation.

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

Proceedings of the Computer Vision - ECCV 2022, 2022

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 G. Dy, Tomas Pfister

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Prompt for Continual Learning.

Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding.

Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Sercan Ö. Arik, Tomas Pfister

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Scalable Optimization Mechanism for Pairwise Based Discrete Hashing.

Xiaoshuang Shi, Fuyong Xing, Zizhao Zhang, Manish Sapkota, Zhenhua Guo, Lin Yang

IEEE Trans. Image Process., 2021

G-optimal designs for hierarchical linear models: an equivalence theorem and a nature-inspired meta-heuristic algorithm.

Xin Liu, Rong-Xian Yue, Zizhao Zhang, Weng Kee Wong

Soft Comput., 2021

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

Zizhao Zhang, Pingjun Chen, Xiaoshuang Shi, Lin Yang

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Aggregating Nested Transformers.

Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Tomas Pfister

CoRR, 2021

Improved Transformer for High-Resolution GANs.

Long Zhao, Zizhao Zhang, Ting Chen, Dimitris N. Metaxas, Han Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

PseudoSeg: Designing Pseudo Labels for Semantic Segmentation.

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

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning Fast Sample Re-weighting Without Reward Data.

Zizhao Zhang, Tomas Pfister

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Diagnosis of Childhood Autism Using Multi-modal Functional Connectivity via Dynamic Hypergraph Learning.

Zizhao Zhang, Jian Liu, Baojuan Li, Yue Gao

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Improved Consistency Regularization for GANs.

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Low-resolution facial expression recognition: A filter learning perspective.

Yan Yan, Zizhao Zhang, Si Chen, Hanzi Wang

Signal Process., 2020

Competitive swarm optimizer with mutated agents for finding optimal designs for nonlinear regression models with multiple interacting factors.

Zizhao Zhang, Weng Kee Wong, Kay Chen Tan

Memetic Comput., 2020

Image Augmentations for GAN Training.

Zhengli Zhao, Zizhao Zhang, Ting Chen, Sameer Singh, Han Zhang

CoRR, 2020

A Simple Semi-Supervised Learning Framework for Object Detection.

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

CoRR, 2020

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence.

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Consistency Regularization for Generative Adversarial Networks.

Han Zhang, Zizhao Zhang, Augustus Odena, Honglak Lee

Proceedings of the 8th International Conference on Learning Representations, 2020

Distance-Based Learning from Errors for Confidence Calibration.

Chen Xing, Sercan Ömer Arik, Zizhao Zhang, Tomas Pfister

Proceedings of the 8th International Conference on Learning Representations, 2020

Consistency-Based Semi-supervised Active Learning: Towards Minimizing Labeling Cost.

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

Proceedings of the Computer Vision - ECCV 2020, 2020

Distilling Effective Supervision From Severe Label Noise.

Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Loss-Based Attention for Deep Multiple Instance Learning.

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Hypergraph-Induced Convolutional Networks for Visual Classification.

Heyuan Shi, Yubo Zhang, Zizhao Zhang, Nan Ma, Xibin Zhao, Yue Gao, Jiaguang Sun

IEEE Trans. Neural Networks Learn. Syst., 2019

Exploring High-Order Correlations for Industry Anomaly Detection.

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

IEEE Trans. Ind. Electron., 2019

Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning.

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

Nat. Mach. Intell., 2019

Pathologist-level interpretable whole-slide cancer diagnosis with deep learning.

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

Nat. Mach. Intell., 2019

Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network.

Jinzheng Cai, Zizhao Zhang, Lei Cui, Yefeng Zheng, Lin Yang

Medical Image Anal., 2019

IEG: Robust Neural Network Training to Tackle Severe Label Noise.

Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister

CoRR, 2019

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 Bioinform., 2019

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

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

BMC Bioinform., 2019

High throughput automatic muscle image segmentation using parallel framework.

Lei Cui, Jun Feng, Zizhao Zhang, Lin Yang

BMC Bioinform., 2019

Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition.

Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Hypergraph Neural Networks.

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

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Inductive Multi-Hypergraph Learning and Its Application on View-Based 3D Object Classification.

Zizhao Zhang, Haojie Lin, Xibin Zhao, Rongrong Ji, Yue Gao

IEEE Trans. Image Process., 2018

Revisiting graph construction for fast image segmentation.

Zizhao Zhang, Fuyong Xing, Hanzi Wang, Yan Yan, Ying Huang, Xiaoshuang Shi, Lin Yang

Pattern Recognit., 2018

Breast mass classification via deeply integrating the contextual information from multi-view data.

Hongyu Wang, Jun Feng, Zizhao Zhang, Hai Su, Lei Cui, Hua He, Li Liu

Pattern Recognit., 2018

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.

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

CoRR, 2018

Cross Diffusion on Multi-hypergraph for Multi-modal 3D Object Recognition.

Zizhao Zhang, Haojie Lin, Junjie Zhu, Xibin Zhao, Yue Gao

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Dynamic Hypergraph Structure Learning.

Zizhao Zhang, Haojie Lin, Yue Gao

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network.

Zizhao Zhang, Lin Yang, Yefeng Zheng

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Photographic Text-to-Image Synthesis With a Hierarchically-Nested Adversarial Network.

Zizhao Zhang, Yuanpu Xie, Lin Yang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition.

Yifan Feng, Zizhao Zhang, Xibin Zhao, Rongrong Ji, Yue Gao

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

EMD Metric Learning.

Zizhao Zhang, Yubo Zhang, Xibin Zhao, Yue Gao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection.

Zizhao Zhang, Fuyong Xing, Hai Su, Xiaoshuang Shi, Lin Yang

CoRR, 2017

Revisiting Graph Construction for Fast Image Segmentation.

Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang

CoRR, 2017

TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References.

Zizhao Zhang, Pingjun Chen, Manish Sapkota, Lin Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network.

Zizhao Zhang, Yuanpu Xie, Fuyong Xing, Mason McGough, Lin Yang

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation.

Fuyong Xing, Xiaoshuang Shi, Zizhao Zhang, Jinzheng Cai, Yuanpu Xie, Lin Yang

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation.

Yuanpu Xie, Zizhao Zhang, Manish Sapkota, Lin Yang

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks.

Jinzheng Cai, Le Lu, Zizhao Zhang, Fuyong Xing, Lin Yang, Qian Yin

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Kernel-Based Supervised Discrete Hashing for Image Retrieval.

Xiaoshuang Shi, Fuyong Xing, Jinzheng Cai, Zizhao Zhang, Yuanpu Xie, Lin Yang

Proceedings of the Computer Vision - ECCV 2016, 2016

SemiContour: A Semi-Supervised Learning Approach for Contour Detection.

Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Robust Muscle Cell Quantification Using Structured Edge Detection and Hierarchical Segmentation.

Fujun Liu, Fuyong Xing, Zizhao Zhang, Mason McGough, Lin Yang

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

2013

Discriminative filter based regression learning for facial expression recognition.

Zizhao Zhang, Yan Yan, Hanzi Wang

Proceedings of the IEEE International Conference on Image Processing, 2013