Discriminative filter based regression learning for facial expression recognition. - Zizhao Zhang; Yan Yan 001; Hanzi Wang (ICIP, 2013)

Robust Muscle Cell Quantification Using Structured Edge Detection and Hierarchical Segmentation. - Fujun Liu; Fuyong Xing; Zizhao Zhang; Mason McGough; Lin Yang 002 (MICCAI (3), 2015)

SemiContour: A Semi-Supervised Learning Approach for Contour Detection. - Zizhao Zhang; Fuyong Xing; Xiaoshuang Shi; Lin Yang 002 (CVPR, 2016)

Kernel-Based Supervised Discrete Hashing for Image Retrieval. - Xiaoshuang Shi; Fuyong Xing; Jinzheng Cai; Zizhao Zhang; Yuanpu Xie; Lin Yang 002 (ECCV (7), 2016)

Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks. - Jinzheng Cai; Le Lu 001; Zizhao Zhang; Fuyong Xing; Lin Yang 002; Qian Yin (MICCAI (2), 2016)

Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation. - Yuanpu Xie; Zizhao Zhang; Manish Sapkota; Lin Yang 002 (MICCAI (2), 2016)

Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation. - Fuyong Xing; Xiaoshuang Shi; Zizhao Zhang; Jinzheng Cai; Yuanpu Xie; Lin Yang 002 (MICCAI (3), 2016)

MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network. - Zizhao Zhang; Yuanpu Xie; Fuyong Xing; Mason McGough; Lin Yang 002 (CVPR, 2017)

TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References. - Zizhao Zhang; Pingjun Chen; Manish Sapkota; Lin Yang 002 (MICCAI (3), 2017)

Revisiting Graph Construction for Fast Image Segmentation. - Zizhao Zhang; Fuyong Xing; Xiaoshuang Shi; Lin Yang 002 (CoRR, 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 002 (CoRR, 2017)

EMD Metric Learning. - Zizhao Zhang; Yubo Zhang; Xibin Zhao; Yue Gao 002 (AAAI, 2018)

GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition. - Yifan Feng 001; Zizhao Zhang; Xibin Zhao; Rongrong Ji; Yue Gao 002 (CVPR, 2018)

Photographic Text-to-Image Synthesis With a Hierarchically-Nested Adversarial Network. - Zizhao Zhang; Yuanpu Xie; Lin Yang (CVPR, 2018)

Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network. - Zizhao Zhang; Lin Yang 002; Yefeng Zheng 001 (CVPR, 2018)

Dynamic Hypergraph Structure Learning. - Zizhao Zhang; Haojie Lin; Yue Gao 002 (IJCAI, 2018)

Cross Diffusion on Multi-hypergraph for Multi-modal 3D Object Recognition. - Zizhao Zhang; Haojie Lin; Junjie Zhu; Xibin Zhao; Yue Gao 002 (PCM (1), 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; et al. (CoRR, 2018)

Breast mass classification via deeply integrating the contextual information from multi-view data. - Hongyu Wang 007; Jun Feng 003; Zizhao Zhang; Hai Su; Lei Cui 004; Hua He; Li Liu (Pattern Recognit., 2018)

Revisiting graph construction for fast image segmentation. - Zizhao Zhang; Fuyong Xing; Hanzi Wang; Yan Yan 001; Ying Huang; Xiaoshuang Shi; Lin Yang 002 (Pattern Recognit., 2018)

Inductive Multi-Hypergraph Learning and Its Application on View-Based 3D Object Classification. - Zizhao Zhang; Haojie Lin; Xibin Zhao; Rongrong Ji; Yue Gao 002 (IEEE Trans. Image Process., 2018)

Hypergraph Neural Networks. - Yifan Feng 001; Haoxuan You; Zizhao Zhang; Rongrong Ji; Yue Gao 002 (AAAI, 2019)

Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition. - Zizhao Zhang; Adriana Romero; Matthew J. Muckley; Pascal Vincent; Lin Yang 002; Michal Drozdzal (CVPR, 2019)

High throughput automatic muscle image segmentation using parallel framework. - Lei Cui 004; Jun Feng 003; Zizhao Zhang; Lin Yang 002 (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 002 (BMC Bioinform., 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 002 (BMC Bioinform., 2019)

IEG: Robust Neural Network Training to Tackle Severe Label Noise. - Zizhao Zhang; Han Zhang 010; Sercan Ömer Arik; Honglak Lee; Tomas Pfister (CoRR, 2019)

Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network. - Jinzheng Cai; Zizhao Zhang; Lei Cui 004; Yefeng Zheng 001; Lin Yang 002 (Medical Image Anal., 2019)

Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. - Zizhao Zhang; Pingjun Chen; Mason McGough; Fuyong Xing; Chunbao Wang 002; Marilyn Bui; Yuanpu Xie; Manish Sapkota; Lei Cui 004; Jaspreet Singh Dhillon; Nazeel Ahmad; Farah K. Khalil; et al. (Nat. Mach. Intell., 2019)

Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. - Zizhao Zhang; Pingjun Chen; Mason McGough; Fuyong Xing; Chunbao Wang 002; Marilyn Bui; Yuanpu Xie; Manish Sapkota; Lei Cui 004; Jasreman Dhillon; Nazeel Ahmad; Farah K. Khalil; et al. (Nat. Mach. Intell., 2019)

Exploring High-Order Correlations for Industry Anomaly Detection. - Nan Wang 015; Zizhao Zhang; Xibin Zhao; Quan Miao; Rongrong Ji; Yue Gao 002 (IEEE Trans. Ind. Electron., 2019)

Hypergraph-Induced Convolutional Networks for Visual Classification. - Heyuan Shi; Yubo Zhang; Zizhao Zhang; Nan Ma; Xibin Zhao; Yue Gao 002; Jiaguang Sun 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Loss-Based Attention for Deep Multiple Instance Learning. - Xiaoshuang Shi; Fuyong Xing; Yuanpu Xie; Zizhao Zhang; Lei Cui 004; Lin Yang 002 (AAAI, 2020)

Distilling Effective Supervision From Severe Label Noise. - Zizhao Zhang; Han Zhang 010; Sercan Ömer Arik; Honglak Lee; Tomas Pfister (CVPR, 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 (ECCV (10), 2020)

Distance-Based Learning from Errors for Confidence Calibration. - Chen Xing; Sercan Ömer Arik; Zizhao Zhang; Tomas Pfister (ICLR, 2020)

Consistency Regularization for Generative Adversarial Networks. - Han Zhang 010; Zizhao Zhang; Augustus Odena; Honglak Lee (ICLR, 2020)

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. - Kihyuk Sohn; David Berthelot; Nicholas Carlini; Zizhao Zhang; Han Zhang 010; Colin Raffel; Ekin Dogus Cubuk; Alexey Kurakin; Chun-Liang Li (NeurIPS, 2020)

A Simple Semi-Supervised Learning Framework for Object Detection. - Kihyuk Sohn; Zizhao Zhang; Chun-Liang Li; Han Zhang 010; Chen-Yu Lee; Tomas Pfister (CoRR, 2020)

Image Augmentations for GAN Training. - Zhengli Zhao; Zizhao Zhang; Ting Chen 001; Sameer Singh 001; Han Zhang 010 (CoRR, 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)

Low-resolution facial expression recognition: A filter learning perspective. - Yan Yan 001; Zizhao Zhang; Si Chen 002; Hanzi Wang (Signal Process., 2020)

Improved Consistency Regularization for GANs. - Zhengli Zhao; Sameer Singh 001; Honglak Lee; Zizhao Zhang; Augustus Odena; Han Zhang 010 (AAAI, 2021)

Diagnosis of Childhood Autism Using Multi-modal Functional Connectivity via Dynamic Hypergraph Learning. - Zizhao Zhang; Jian Liu; Baojuan Li; Yue Gao 002 (CICAI, 2021)

Learning Fast Sample Re-weighting Without Reward Data. - Zizhao Zhang; Tomas Pfister (ICCV, 2021)

PseudoSeg: Designing Pseudo Labels for Semantic Segmentation. - Yuliang Zou; Zizhao Zhang; Han Zhang 010; Chun-Liang Li; Xiao Bian; Jia-Bin Huang 001; Tomas Pfister (ICLR, 2021)

Improved Transformer for High-Resolution GANs. - Long Zhao 003; Zizhao Zhang; Ting Chen 001; Dimitris N. Metaxas; Han Zhang 010 (NeurIPS, 2021)

Aggregating Nested Transformers. - Zizhao Zhang; Han Zhang 010; Long Zhao 003; Ting Chen 001; Tomas Pfister (CoRR, 2021)

Text-Guided Neural Network Training for Image Recognition in Natural Scenes and Medicine. - Zizhao Zhang; Pingjun Chen; Xiaoshuang Shi; Lin Yang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 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)

A Scalable Optimization Mechanism for Pairwise Based Discrete Hashing. - Xiaoshuang Shi; Fuyong Xing; Zizhao Zhang; Manish Sapkota; Zhenhua Guo 001; Lin Yang 002 (IEEE Trans. Image Process., 2021)

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 001; Tomas Pfister (AAAI, 2022)

Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding. - Zizhao Zhang; Han Zhang 010; Long Zhao 003; Ting Chen 001; Sercan Ö. Arik; Tomas Pfister (AAAI, 2022)

Learning to Prompt for Continual Learning. - Zifeng Wang 002; Zizhao Zhang; Chen-Yu Lee; Han Zhang 010; Ruoxi Sun 002; Xiaoqi Ren; Guolong Su; Vincent Perot; Jennifer G. Dy; Tomas Pfister (CVPR, 2022)

DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning. - Zifeng Wang 002; Zizhao Zhang; Sayna Ebrahimi; Ruoxi Sun 002; Han Zhang 010; Chen-Yu Lee; Xiaoqi Ren; Guolong Su; Vincent Perot; Jennifer G. Dy; Tomas Pfister (ECCV (26), 2022)

Learning Instance-Specific Adaptation for Cross-Domain Segmentation. - Yuliang Zou; Zizhao Zhang; Chun-Liang Li; Han Zhang 010; Tomas Pfister; Jia-Bin Huang 001 (ECCV (33), 2022)

Exploit Customer Life-time Value with Memoryless Experiments. - Zizhao Zhang; Yifei Zhao; Guangda Huzhang (CoRR, 2022)

Deep Hypergraph Structure Learning. - Zizhao Zhang; Yifan Feng 001; Shihui Ying; Yue Gao 002 (CoRR, 2022)

Hypergraph Learning: Methods and Practices. - Yue Gao 002; Zizhao Zhang; Haojie Lin; Xibin Zhao; Shaoyi Du; Changqing Zou (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Kullback-Leibler Divergence Metric Learning. - Shuyi Ji; Zizhao Zhang; Shihui Ying; Liejun Wang; Xibin Zhao; Yue Gao 002 (IEEE Trans. Cybern., 2022)

QueryForm: A Simple Zero-shot Form Entity Query Framework. - Zifeng Wang 002; Zizhao Zhang; Jacob Devlin; Chen-Yu Lee; Guolong Su; Hao Zhang; Jennifer G. Dy; Vincent Perot; Tomas Pfister (ACL (Findings), 2023)

ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map Construction. - Jingyi Yu; Zizhao Zhang; Shengfu Xia; Jizhang Sang (CoRL, 2023)

AutoGT: Automated Graph Transformer Architecture Search. - Zizhao Zhang; Xin Wang 019; Chaoyu Guan; Ziwei Zhang 001; Haoyang Li 001; Wenwu Zhu 001 (ICLR, 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 (WACV, 2023)

StraIT: Non-autoregressive Generation with Stratified Image Transformer. - Shengju Qian; Huiwen Chang; Yuanzhen Li; Zizhao Zhang; Jiaya Jia; Han Zhang 010 (CoRR, 2023)

Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning. - Zhuowei Li 002; Long Zhao 003; Zizhao Zhang; Han Zhang 010; Di Liu 003; Ting Liu 005; Dimitris N. Metaxas (CoRR, 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., 2023)

UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation. - Xin Yu 010; Qi Yang 004; 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; et al. (Medical Image Anal., 2023)

CodecLM: Aligning Language Models with Tailored Synthetic Data. - Zifeng Wang 002; Chun-Liang Li; Vincent Perot; Long T. Le; Jin Miao; Zizhao Zhang; Chen-Yu Lee; Tomas Pfister (NAACL-HLT (Findings), 2024)

RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation. - Dongyu Ru; Lin Qiu; Xiangkun Hu; Tianhang Zhang; Peng Shi 010; Shuaichen Chang; Cheng Jiayang; Cunxiang Wang; Shichao Sun; Huanyu Li 010; Zizhao Zhang; Binjie Wang; et al. (NeurIPS, 2024)

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs. - Minjie Wang; Quan Gan; David Wipf; Zheng Zhang 001; Christos Faloutsos; Weinan Zhang 001; Muhan Zhang; Zhenkun Cai; Jiahang Li 002; Zunyao Mao; Yakun Song; Jianheng Tang; et al. (NeurIPS, 2024)

MMPGCN: Multi-hop Message Passing Graph Convolutional Network for Knowledge Graph Completion. - Jian Wang; Zizhao Zhang; Qi He; You Zhou; Qi Pan (SMC, 2024)

Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning. - Zhuowei Li 002; Long Zhao 003; Zizhao Zhang; Han Zhang 010; Di Liu 003; Ting Liu 005; Dimitris N. Metaxas (WACV, 2024)

Large Language Model Assisted Experiment Design with Generative Human-Behavior Agents. - Haoyu Liu; Yifu Tang; Zizhao Zhang; Zeyu Zheng; Tingyu Zhu (WSC, 2024)

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs. - Minjie Wang; Quan Gan; David Wipf; Zhenkun Cai; Ning Li 029; Jianheng Tang; Yanlin Zhang; Zizhao Zhang; Zunyao Mao; Yakun Song; Yanbo Wang; Jiahang Li 002; et al. (CoRR, 2024)

OpenResearcher: Unleashing AI for Accelerated Scientific Research. - Yuxiang Zheng; Shichao Sun; Lin Qiu; Dongyu Ru; Cheng Jiayang; Xuefeng Li 003; Jifan Lin; Binjie Wang; Yun Luo; Renjie Pan 001; Yang Xu 010; Qingkai Min; et al. (CoRR, 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., 2024)

SkillVerse : Assessing and Enhancing LLMs with Tree Evaluation. - Yufei Tian; Jiao Sun; Nanyun Peng 001; Zizhao Zhang (ACL (1), 2025)

Research on constructing and reasoning the collision knowledge graph of autonomous navigation ship based on enhanced BERT model. - Zizhao Zhang; Xinyue Yang; Liping Sun; Yu Sun; Jichuan Kang (Expert Syst. Appl., 2025)

The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input. - Alon Jacovi; Andrew Wang; Chris Alberti; Connie Tao; Jon Lipovetz; Kate Olszewska; Lukas Haas; Michelle Liu; Nate Keating; Adam Bloniarz; Carl Saroufim; Corey Fry; et al. (CoRR, 2025)

Graph-Structured Data Analysis of Component Failure in Autonomous Cargo Ships Based on Feature Fusion. - Zizhao Zhang; Tianxiang Zhao 004; Yu Sun; Liping Sun; Jichuan Kang (CoRR, 2025)

Deep Researcher with Test-Time Diffusion. - Rujun Han; Yanfei Chen; Zoey CuiZhu; Lesly Miculicich; Guan Sun; Yuanjun Bi; Weiming Wen; Hui Wan; Chunfeng Wen; Solène Maître; George Lee; Vishy Tirumalashetty; et al. (CoRR, 2025)