Daoqiang Zhang

489 papers A* 22A 5B 7C 1Misc 6Journal 309Unranked 134

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Graph Neural Networks. IEEE Access Xinyang Zhang, Shengrong Li, Haoran Li, Peiliang Gong, Jiahua Shi, Jun Shen, Chunwei Tian, Daoqiang Zhang, Qi Zhu
2026	J	`jnl`	Adaptation Follow Human Attention: Gaze-Assisted Medical Segment Anything Model. IEEE Trans. Circuits Syst. Video Technol. Rongjun Ge, Ruiyi Li, Chong Wang, Yuxin Liu, Heng Zhu, Jean-Louis Coatrieux, Daoqiang Zhang, Jian Lu, Yang Chen, Shuo Li, Yuting He
2026	J	`jnl`	Addressing data annotation scarcity in Brain Tumor Segmentation on 3D MRI scan Using a Semi-Supervised Teacher-Student Framework. CoRR Jiaming Liu, Cheng Ding, Daoqiang Zhang
2026	J	`jnl`	Advancing Cancer Prognosis with Hierarchical Fusion of Genomic, Proteomic and Pathology Imaging Data from a Systems Biology Perspective. CoRR Junjie Zhou, Bao Xue, Meiling Wang, Wei Shao, Daoqiang Zhang
2026	J	`jnl`	Authorize-on-Demand: Dynamic Authorization with Legality-Aware Intellectual Property Protection for VLMs. CoRR Lianyu Wang, Meng Wang, Huazhu Fu, Daoqiang Zhang
2026	J	`jnl`	CT-Conditioned Diffusion Prior with Physics-Constrained Sampling for PET Super-Resolution. CoRR Liutao Yang, Zi Wang, Peiyuan Jing, Xiaowen Wang, Javier A. Montoya-Zegarra, Kuangyu Shi, Daoqiang Zhang, Guang Yang
2026	J	`jnl`	EEG-CLIP: A transformer-based framework for EEG-guided image generation. Neural Networks Xuhao Cao, Peiliang Gong, Liying Zhang, Daoqiang Zhang
2026	J	`jnl`	Evidentially Calibrated Source-Free Time-Series Domain Adaptation With Temporal Imputation. IEEE Trans. Knowl. Data Eng. Mohamed Ragab, Peiliang Gong, Emadeldeen Eldele, Wenyu Zhang, Min Wu, Chuan-Sheng Foo, Daoqiang Zhang, Xiaoli Li, Zhenghua Chen
2026	J	`jnl`	Exploring cognitive workload recognition using CogRepLKNet with EEG-fMRI. Neural Networks Yang Shao, Yueying Zhou, Xuyun Wen, Peiliang Gong, Qun Dai, Daoqiang Zhang
2026	J	`jnl`	Graph-level contrastive learning with self-aware and cross-sample topology augmentation for brain disorder diagnosis using rs-fMRI. Neural Networks Hao Zhang, Xiaoyun Liu, Shuo Huang, Yue Ma, Yonggui Yuan, Daoqiang Zhang, Li Zhang
2026	J	`jnl`	Heterogeneous Modality Dynamic Trustworthy Fusion Network for Cross-Subject Sleep Stage Classification. IEEE Trans. Emerg. Top. Comput. Intell. Kun Wang, Qi Zhu, Junyong Zhao, Chuhang Zheng, Wei Shao, Daoqiang Zhang
2026	J	`jnl`	Hyper-network curvature: A new representation method for high-order brain network analysis. Pattern Recognit. Kai Ma, Tianyu Du, Qi Zhu, Xuyun Wen, Jiashuang Huang, Xibei Yang, Daoqiang Zhang
2026	J	`jnl`	Identification of Genetic Risk Factors Based on Disease Progression Derived From Modeling Longitudinal Phenotype Latent Pattern Representation. IEEE Trans. Medical Imaging Meiling Wang, Wei Shao, Daoqiang Zhang, Qingshan Liu
2026	J	`jnl`	In-Hospital Stroke Prediction from PPG-Derived Hemodynamic Features. CoRR Jiaming Liu, Cheng Ding, Daoqiang Zhang
2026	J	`jnl`	InstructIVF: Degradation-aware fusion of infrared and visible images guided by diverse textual instructions. Inf. Fusion Wenxia Yin, Xinyi Zeng, Xi Wu, Daoqiang Zhang, Yan Wang
2026	J	`jnl`	Mutual learning for joint disease detection and severity prediction reveals multimodal pathogenesis for neurodegenerative disorders. Bioinform. Jin Zhang, Yixin Ji, Jinhua Liu, Wenrui Cui, Xiaohui Yao, Hongdong Li, Daoqiang Zhang, Alzheimer's Disease Neuroimaging Initiative
2026	J	`jnl`	Open-Set Active Learning for Nucleus Detection From the Histopathological Images. IEEE Trans. Medical Imaging Jiao Tang, Yagao Yue, Wei Chu, Mingliang Wang, Yulin Wang, Peng Wan, Andrey S. Krylov, Wei Shao, Daoqiang Zhang
2026	J	`jnl`	Pdnet: progressive cross-stage feature enhancement and dual-model feature fusion for ophthalmic disease classification. Vis. Comput. Fujiang Li, Changle Zheng, Daoqiang Zhang, Bo Qian
2026	J	`jnl`	ProtoMTG: Prototypical Multi-Task Learning for the Generation of Multiple Stained Immunohistochemical Images. IEEE Trans. Medical Imaging Junjie Zhou, Andrey S. Krylov, Jianpeng Sheng, Qi Zhu, Wei Shao, Daoqiang Zhang
2026	J	`jnl`	Sliced Wasserstein graph kernel for measuring global topological similarity of brain functional networks. Pattern Recognit. Kai Ma, Qi Zhu, Xuyun Wen, Xibei Yang, Daoqiang Zhang
2026	J	`jnl`	Smart CSWin-UNet: Integrating prototype attention gate and mixture-of-experts skip connections for medical image segmentation. Neurocomputing Chuanbo Feng, Xinchu Lu, Jing Qin, Daoqiang Zhang, Xiaoke Hao
2026	J	`jnl`	Spatio-Temporal Hypergraph Attention Networks for Brain Disease Analysis. IEEE Trans. Image Process. Chaojun Li, Peiliang Gong, Shengrong Li, Chunwei Tian, Yinbo Yu, Ran Wang, Daoqiang Zhang, Qi Zhu
2026	J	`jnl`	Toward Trustworthy Multi-View Representation With Fine-Grained Explainability Embeddings. IEEE Trans. Medical Imaging Jin Zhang, Yan Yang, Muheng Shang, Lei Guo, Daoqiang Zhang, Lei Du
2026	J	`jnl`	Trustworthy Multi-Modal Ultrasound Fusion via Uncertainty Calibration and Conflict Resolution. IEEE Trans. Medical Imaging Peng Wan, Limei Wei, Shukang Zhang, Haiyan Xue, Wei Shao, Wentao Kong, Daoqiang Zhang
2026	J	`jnl`	Unsupervised domain adaptation via style-aware self-intermediate domain. Pattern Recognit. Lianyu Wang, Meng Wang, Daoqiang Zhang, Huazhu Fu
2025	J	`jnl`	A Hierarchical Graph Convolutional Network With Infomax-Guided Graph Embedding for Population-Based ASD Detection. IEEE J. Biomed. Health Informatics Xiaoke Hao, Mingming Ma, Jiaqing Tao, Jiahui Cao, Jing Qin, Feng Liu, Daoqiang Zhang, Dong Ming
2025	J	`jnl`	AGBN-Transformer: Anatomy-guided brain network transformer for schizophrenia diagnosis. Biomed. Signal Process. Control. Jiashuang Huang, Mingliang Wang, Hengrong Ju, Weiping Ding, Daoqiang Zhang
2025	Misc	`conf`	Adaptive-Similarity-Based Brain Dynamic Functional Connectivity with Spatial-Temporal Attention and Domain Adaptation for Schizophrenia Diagnosis. ICASSP Yixin Ji, Vince D. Calhoun, Rongtao Jiang, Daoqiang Zhang, Shile Qi
2025	J	`jnl`	Attention Detection Using EEG Signals and Machine Learning: A Review. Int. J. Autom. Comput. Qianru Sun, Yueying Zhou, Peiliang Gong, Daoqiang Zhang
2025	—	`conf`	Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation. KDD (1) Peiliang Gong, Mohamed Ragab, Min Wu, Zhenghua Chen, Yongyi Su, Xiaoli Li, Daoqiang Zhang
2025	J	`jnl`	Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation. CoRR Peiliang Gong, Mohamed Ragab, Min Wu, Zhenghua Chen, Yongyi Su, Xiaoli Li, Daoqiang Zhang
2025	—	`conf`	BDANet: A Binary-Dimensional Aware Network with Multi-Wise Attention for Cognitive Workload Recognition. BCI Yang Shao, Yueying Zhou, Daoqiang Zhang
2025	—	`conf`	Brain Network Mamba: A Bi-Directional State-Space Model for Brain Network Analysis on rs-fMRI. MLMI@MICCAI Li Zhang, Shuo Huang, Di Ma, Daoqiang Zhang
2025	A	`conf`	BrainX: A Universal Brain Decoding Framework with Feature Disentanglement and Neuro-Geometric Representation Learning. CIKM Zheng Cui, Dong Nie, Pengcheng Xue, Xia Wu, Daoqiang Zhang, Xuyun Wen
2025	J	`jnl`	Bridging Distribution Gaps in Time Series Foundation Model Pretraining with Prototype-Guided Normalization. CoRR Peiliang Gong, Emadeldeen Eldele, Min Wu, Zhenghua Chen, Xiao-Li Li, Daoqiang Zhang
2025	J	`jnl`	COME: Dual Structure-Semantic Learning with Collaborative MoE for Universal Lesion Detection Across Heterogeneous Ultrasound Datasets. CoRR Lingyu Chen, Yawen Zeng, Yue Wang, Peng Wan, Guochen Ning, Hongen Liao, Daoqiang Zhang, Fang Chen
2025	J	`jnl`	CT-SDM: A Sampling Diffusion Model for Sparse-View CT Reconstruction Across Various Sampling Rates. IEEE Trans. Medical Imaging Liutao Yang, Jiahao Huang, Guang Yang, Daoqiang Zhang
2025	J	`jnl`	Confound Controlled Multimodal Neuroimaging Data Fusion and Its Application to Developmental Disorders. IEEE Trans. Image Process. Chuang Liang, Rogers F. Silva, Tülay Adali, Rongtao Jiang, Daoqiang Zhang, Shile Qi, Vince D. Calhoun
2025	Misc	`conf`	Cooperative and Competitive Functional Connectivity Based on Improved Ising Model. ICASSP Gengqian Wei, Chuang Liang, Tülay Adali, Rongtao Jiang, Daoqiang Zhang, Vince D. Calhoun, Shile Qi
2025	—	`conf`	Cost-Effective Active Learning for Nucleus Detection Using Crowdsourced Annotations with Dynamic Weighting Adjustment. MICCAI (13) Jiao Tang, Yuankun Zu, Qi Zhu, Peng Wan, Daoqiang Zhang, Wei Shao
2025	A*	`conf`	DAMM-Diffusion: Learning Divergence-Aware Multi-Modal Diffusion Model for Nanoparticles Distribution Prediction. CVPR Junjie Zhou, Shouju Wang, Yuxia Tang, Qi Zhu, Daoqiang Zhang, Wei Shao
2025	J	`jnl`	DAMM-Diffusion: Learning Divergence-Aware Multi-Modal Diffusion Model for Nanoparticles Distribution Prediction. CoRR Junjie Zhou, Shouju Wang, Yuxia Tang, Qi Zhu, Daoqiang Zhang, Wei Shao
2025	J	`jnl`	Deep Ring-Wise Block Network for Joint Association Analysis and Alzheimer's Disease Diagnosis With Interpretability. IEEE Trans. Comput. Biol. Bioinform. Meiling Wang, Wei Shao, Daoqiang Zhang, Qingshan Liu
2025	J	`jnl`	DemuxTrans: Transformer and temporal convolution network for accurate barcode demultiplexing in nanopore sequencing. Bioinform. Liyuan Shu, Deyu Zhuang, Jiao Tang, Junyong Zhao, Wei Shao, Xiaoyu Guan, Daoqiang Zhang
2025	J	`jnl`	Discovering Differential Imaging Genetic Modules via Multimodal Fusion-Based Hypergraph Transductive Learning in Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging Meiling Wang, Liang Sun, Wei Shao, Daoqiang Zhang
2025	J	`jnl`	Disentangled Representation Learning for Robust Brainprint Recognition. IEEE Trans. Inf. Forensics Secur. Chuhang Zheng, Qi Zhu, Lunke Fei, Shengrong Li, Xiangping Bryce Zhai, David Zhang, Daoqiang Zhang
2025	J	`jnl`	Edge-enhanced semi-supervised vertical convolutional neural network for tubular structure segmentation: Application to medical images. Pattern Recognit. Junyong Zhao, Liang Sun, Zhi Sun, Yanling Fu, Wei Shao, Xin Zhou, Haipeng Si, Daoqiang Zhang
2025	A*	`conf`	Efficient Deformable Convolutional Prompt for Continual Test-Time Adaptation in Medical Image Segmentation. AAAI Shiyu Liu, Daoqiang Zhang, Xiaoke Hao
2025	J	`jnl`	Enhancing global sensitivity and uncertainty quantification in medical image reconstruction with Monte Carlo arbitrary-masked mamba. Medical Image Anal. Jiahao Huang, Liutao Yang, Fanwen Wang, Yinzhe Wu, Yang Nan, Weiwen Wu, Chengyan Wang, Kuangyu Shi, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang
2025	—	`conf`	F ISBI Junyong Zhao, Tian Lin, Meng Wang, Liang Sun, Haoyu Chen, Daoqiang Zhang, Huazhu Fu
2025	Misc	`conf`	Gaze-Assisted Human-Centric Domain Adaptation for Cardiac Ultrasound Image Segmentation. ICASSP Ruiyi Li, Yuting He, Rongjun Ge, Chong Wang, Daoqiang Zhang, Yang Chen, Shuo Li
2025	J	`jnl`	Gaze-Assisted Human-Centric Domain Adaptation for Cardiac Ultrasound Image Segmentation. CoRR Ruiyi Li, Yuting He, Rongjun Ge, Chong Wang, Daoqiang Zhang, Yang Chen, Shuo Li
2025	A*	`conf`	HeLo: Heterogeneous Multi-Modal Fusion with Label Correlation for Emotion Distribution Learning. ACM Multimedia Chuhang Zheng, Chunwei Tian, Jie Wen, Daoqiang Zhang, Qi Zhu
2025	J	`jnl`	HeLo: Heterogeneous Multi-Modal Fusion with Label Correlation for Emotion Distribution Learning. CoRR Chuhang Zheng, Chunwei Tian, Jie Wen, Daoqiang Zhang, Qi Zhu
2025	J	`jnl`	Human gaze-based dual teacher guidance learning for semi-supervised medical image segmentation. Neural Networks Rongjun Ge, Chong Wang, Yuxin Liu, Chunqiang Lu, Cong Xia, Yehui Jiang, Fangyi Xu, Yinsu Zhu, Daoqiang Zhang, Chengyu Liu, Yang Chen, Shuo Li, Yuting He
2025	J	`jnl`	Identifying Longitudinal Intermediate Phenotypes Between Genotypes and Clinical Score via Exclusive Relationship-Induced Association Analysis in Alzheimer's Disease. IEEE Trans. Cogn. Dev. Syst. Meiling Wang, Wei Shao, Shuo Huang, Daoqiang Zhang
2025	J	`jnl`	Interpretable Dynamic Brain Network Analysis With Functional and Structural Priors. IEEE Trans. Medical Imaging Shengrong Li, Qi Zhu, Chunwei Tian, Wei Shao, Daoqiang Zhang
2025	—	`conf`	LTSE: Language-Guided Tissue Referring Segmentation in Pathology Images with Adaptive Expert Mixture. MICCAI (6) Jiao Tang, Bo Qian, Peng Wan, Wei Shao, Daoqiang Zhang
2025	J	`jnl`	Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction. IEEE Trans. Instrum. Meas. Liutao Yang, Jiahao Huang, Yingying Fang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang
2025	J	`jnl`	Local structural-functional coupling with counterfactual explanations for epilepsy prediction. NeuroImage Jiashuang Huang, Shaolong Wei, Zhen Gao, Shu Jiang, Mingliang Wang, Liang Sun, Weiping Ding, Daoqiang Zhang
2025	J	`jnl`	Long-Interval Spatio-Temporal Graph Convolution for Brain Disease Diagnosis. IEEE Trans. Instrum. Meas. Shengrong Li, Qi Zhu, Donghai Guan, Bo Shen, Li Zhang, Yixin Ji, Shile Qi, Daoqiang Zhang
2025	J	`jnl`	MA-SAM: A Multi-Atlas Guided SAM Using Pseudo Mask Prompts Without Manual Annotation for Spine Image Segmentation. IEEE Trans. Medical Imaging Dingwei Fan, Junyong Zhao, Chunlin Li, Xinlong Wang, Ronghan Zhang, Qi Zhu, Mingliang Wang, Haipeng Si, Daoqiang Zhang, Liang Sun
2025	J	`jnl`	MAPLE: Multi-scale Attribute-enhanced Prompt Learning for Few-shot Whole Slide Image Classification. CoRR Junjie Zhou, Wei Shao, Yagao Yue, Wei Mu, Peng Wan, Qi Zhu, Daoqiang Zhang
2025	—	`conf`	MPIDS: Multi-Group Perturbation Based Individualized Differential Structural Brain Network. ISBI Zixin Huang, Yijie Zhang, Tülay Adali, Rongtao Jiang, Daoqiang Zhang, Vince D. Calhoun, Shile Qi
2025	—	`conf`	MambaNano: Dual-Branch Mamba Framework Achieves Single-Molecule Resolution m6A Detection in Nanopore Direct RNA Sequencing. BIBM Deyu Zhuang, Liyuan Shu, Xiaoyu Guan, Daoqiang Zhang
2025	J	`jnl`	Multi-Modal Brain Network Fusion for Intelligent Diagnostic Devices. IEEE Trans. Consumer Electron. Shengrong Li, Qi Zhu, Liang Sun, Kai Ma, Yixin Ji, Shile Qi, Daoqiang Zhang
2025	J	`jnl`	Multi-Modal Cross-Subject Emotion Feature Alignment and Recognition With EEG and Eye Movements. IEEE Trans. Affect. Comput. Qi Zhu, Ting Zhu, Lunke Fei, Chuhang Zheng, Wei Shao, David Zhang, Daoqiang Zhang
2025	J	`jnl`	Multi-channel spatio-temporal graph attention contrastive network for brain disease diagnosis. NeuroImage Chaojun Li, Kai Ma, Shengrong Li, Xiangshui Meng, Ran Wang, Daoqiang Zhang, Qi Zhu
2025	—	`conf`	Multi-expert Collaboration and Knowledge Enhancement Network for Multimodal Emotion Recognition. MICCAI (1) Kun Wang, Junyong Zhao, Liying Zhang, Qi Zhu, Daoqiang Zhang
2025	A*	`conf`	Multi-modal Topology-embedded Graph Learning for Spatially Resolved Genes Prediction from Pathology Images with Prior Gene Similarity Information. CVPR Hang Shi, Changxi Chi, Peng Wan, Daoqiang Zhang, Wei Shao
2025	—	`conf`	Multi-view Graph Contrastive Learning with Dynamic Self-aware and Cross-Sample Topology Augmentation for Brain Disorder Diagnosis. MICCAI (12) Hao Zhang, Xiaoyun Liu, Shuo Huang, Yonggui Yuan, Daoqiang Zhang, Li Zhang
2025	J	`jnl`	Multimodal Data Fusion in Neuroscience: Promises, challenges, and future directions [Special Issue on Accelerating Brain Discovery Through Data Science and Neurotechnology]. IEEE Signal Process. Mag. Chuang Liang, Rogers F. Silva, Tülay Adali, Rongtao Jiang, Daoqiang Zhang, Shile Qi, Vince D. Calhoun
2025	J	`jnl`	Mutual-assistance learning for trustworthy biomarker discovery and disease prediction. Briefings Bioinform. Jin Zhang, Yan Yang, Muheng Shang, Lei Guo, Daoqiang Zhang, Lei Du
2025	J	`jnl`	PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning. CoRR Junjie Zhou, Yingli Zuo, Feng Shi, Peng Wan, Qi Zhu, Daoqiang Zhang, Wei Shao
2025	Misc	`conf`	Reference-Guided Parallel Independent Component Analysis: Estimating Cognition Associated Multimodal Patterns In Schizophrenia. ICASSP Jingxian Hu, Chuang Liang, Tülay Adali, Qi Zhu, Daoqiang Zhang, Rongtao Jiang, Vince D. Calhoun, Shile Qi
2025	A*	`conf`	Robust Multimodal Survival Prediction with Conditional Latent Differentiation Variational AutoEncoder. CVPR Junjie Zhou, Jiao Tang, Yingli Zuo, Peng Wan, Daoqiang Zhang, Wei Shao
2025	J	`jnl`	Robust Multimodal Survival Prediction with the Latent Differentiation Conditional Variational AutoEncoder. CoRR Junjie Zhou, Jiao Tang, Yingli Zuo, Peng Wan, Daoqiang Zhang, Wei Shao
2025	J	`jnl`	Speech Imagery Decoding Using EEG Signals and Deep Learning: A Survey. IEEE Trans. Cogn. Dev. Syst. Liying Zhang, Yueying Zhou, Peiliang Gong, Daoqiang Zhang
2025	J	`jnl`	TAFL: Task-Agnostic Feature Learner for Efficient Adaptation to Unseen Clinical Tasks Based on Whole-Slide Histopathological Images. IEEE Trans. Medical Imaging Yingli Zuo, Lianyu Wang, Jianxin Liu, Shichang Feng, Yulin Wang, Qi Zhu, Wei Shao, Daoqiang Zhang
2025	J	`jnl`	TAHAG: Two-Stage Domain Adaptation With Hybrid Adaptive Graph Learning for EEG Emotion Recognition. IEEE Trans. Affect. Comput. Peiliang Gong, Yueying Zhou, Shuo Huang, Pengpai Wang, Daoqiang Zhang
2025	—	`conf`	THIDS: Triplet High-Order Individual Differential Structural Brain Network. ISBI Dailin Wen, Chunzhi Zhao, Tülay Adali, Daoqiang Zhang, Vince D. Calhoun, Shile Qi
2025	—	`conf`	Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation. KDD (2) Peiliang Gong, Yucheng Wang, Min Wu, Zhenghua Chen, Xiaoli Li, Daoqiang Zhang
2025	J	`jnl`	Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation. CoRR Peiliang Gong, Yucheng Wang, Min Wu, Zhenghua Chen, Xiaoli Li, Daoqiang Zhang
2025	J	`jnl`	Thinking Like Sonographers: Human-Centered CNN Models for Gout Diagnosis From Musculoskeletal Ultrasound. IEEE Trans. Biomed. Eng. Lingyu Chen, Zhi Cao, Weijing Zhang, Xin Tang, Di Zhao, Daoqiang Zhang, Hongen Liao, Fang Chen
2025	J	`jnl`	Trustworthy causal biomarker discovery: a multiomics brain imaging genetics-based approach. Bioinform. Jin Zhang, Yan Yang, Muheng Shang, Lei Guo, Daoqiang Zhang, Lei Du, Alzheimer's Disease Neuroimaging Initiative
2025	J	`jnl`	Uncertainty-Driven Edge Prompt Generation Network for Medical Image Segmentation. IEEE Trans. Medical Imaging Junyong Zhao, Liang Sun, Dingwei Fan, Kun Wang, Haipeng Si, Huazhu Fu, Daoqiang Zhang
2025	A*	`conf`	Vision-Language Model IP Protection via Prompt-based Learning. CVPR Lianyu Wang, Meng Wang, Huazhu Fu, Daoqiang Zhang
2025	J	`jnl`	Vision-Language Model IP Protection via Prompt-based Learning. CoRR Lianyu Wang, Meng Wang, Huazhu Fu, Daoqiang Zhang
2024	—	`conf`	A Co-contrastive Learning Method to Fuse Multi-modal Phenotypes and Identify Genetic Risk Variations. BCB Muheng Shang, Yan Yang, Jin Zhang, Daoqiang Zhang, Lei Du
2024	—	`conf`	A Dual-Branch Riemannian Learning Network for EEG Speech Imagery Decoding. ICONIP (11) Liying Zhang, Peiliang Gong, Qianru Sun, Yueying Zhou, Qi Zhu, Daoqiang Zhang
2024	—	`conf`	A Framework on Imaging and Phenotype Information Hierarchical Graph Convolutional Networks for Identification of Autism Spectrum Disorder. ISBI Xiaoke Hao, Mingming Ma, Yingchun Guo, Jiawang Li, Jing Qin, Daoqiang Zhang
2024	J	`jnl`	A Generalized Full-to-Partial Registration Framework of 3D Point Sets for Computer-Aided Orthopedic Surgery. IEEE Trans. Biomed. Eng. Fang Chen, Qingjie Du, Jing-xin Zhao, Zhe Zhao, Daoqiang Zhang, Hongen Liao
2024	—	`conf`	AISA-DG: Automatic Implicit Style-Augmented Domain Generalization on Optic Disc/Cup Segmentation. ISBI Lianyu Wang, Dingwei Fan, Meng Wang, Daoqiang Zhang
2024	J	`jnl`	Automated individual cortical parcellation via consensus graph representation learning. NeuroImage Xuyun Wen, Mengting Yang, Shile Qi, Xia Wu, Daoqiang Zhang
2024	J	`jnl`	CT-SDM: A Sampling Diffusion Model for Sparse-View CT Reconstruction across All Sampling Rates. CoRR Liutao Yang, Jiahao Huang, Guang Yang, Daoqiang Zhang
2024	—	`conf`	Characterizing the Histology Spatial Intersections Between Tumor-Infiltrating Lymphocytes and Tumors for Survival Prediction of Cancers Via Graph Contrastive Learning. MLMI@MICCAI (2) Yangyang Shi, Qi Zhu, Yingli Zuo, Peng Wan, Daoqiang Zhang, Wei Shao
2024	J	`jnl`	Complementary Labels Learning with Augmented Classes. Knowl. Based Syst. Zhongnian Li, Mengting Xu, Xinzheng Xu, Daoqiang Zhang
2024	—	`conf`	Correlation-Adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis. MICCAI (5) Peng Wan, Shukang Zhang, Wei Shao, Junyong Zhao, Yinkai Yang, Wentao Kong, Haiyan Xue, Daoqiang Zhang
2024	J	`jnl`	D-MHGCN: An End-to-End Individual Behavioral Prediction Model Using Dual Multi-Hop Graph Convolutional Network. IEEE J. Biomed. Health Informatics Xuyun Wen, Qumei Cao, Yunxi Zhao, Xia Wu, Daoqiang Zhang
2024	J	`jnl`	Discriminative Domain Adaption Network for Simultaneously Removing Batch Effects and Annotating Cell Types in Single-Cell RNA-Seq. IEEE ACM Trans. Comput. Biol. Bioinform. Qi Zhu, Aizhen Li, Zheng Zhang, Chuhang Zheng, Junyong Zhao, Jin-Xing Liu, Daoqiang Zhang, Wei Shao
2024	—	`conf`	Disentangling Disease-sensitive Multimodal Neuroimaging Phenotypes and Related Genetic Factors: A Multimodal Study of ADNI Cohort. BIBM Jin Zhang, Minjianan Zhang, Lei Guo, Daoqiang Zhang, Lei Du
2024	J	`jnl`	Do as Sonographers Think: Contrast-Enhanced Ultrasound for Thyroid Nodules Diagnosis via Microvascular Infiltrative Awareness. IEEE Trans. Medical Imaging Fang Chen, Haojie Han, Peng Wan, Lingyu Chen, Wentao Kong, Hongen Liao, Baojie Wen, Chunrui Liu, Daoqiang Zhang
2024	J	`jnl`	Dynamic Confidence-Aware Multi-Modal Emotion Recognition. IEEE Trans. Affect. Comput. Qi Zhu, Chuhang Zheng, Zheng Zhang, Wei Shao, Daoqiang Zhang
2024	J	`jnl`	Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba. CoRR Jiahao Huang, Liutao Yang, Fanwen Wang, Yang Nan, Weiwen Wu, Chengyan Wang, Kuangyu Shi, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang
2024	J	`jnl`	Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation. CoRR Mohamed Ragab, Peiliang Gong, Emadeldeen Eldele, Wenyu Zhang, Min Wu, Chuan-Sheng Foo, Daoqiang Zhang, Xiaoli Li, Zhenghua Chen
2024	—	`conf`	Follow Sonographers' Visual Scan-Path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound. MICCAI (1) Xin Tang, Zhi Cao, Weijing Zhang, Di Zhao, Hongen Liao, Daoqiang Zhang, Fang Chen
2024	—	`conf`	GPR-SCSANet: Unequal-Length Time Series Normalization with Split-Channel Residual Convolution and Self-Attention for Brain Age Prediction. BIBM Fangling Sun, Chuang Liang, Tülay Adali, Daoqiang Zhang, Rongtao Jiang, Vince D. Calhoun, Shile Qi
2024	J	`jnl`	Global-local consistent semi-supervised segmentation of histopathological image with different perturbations. Pattern Recognit. Xi Guan, Qi Zhu, Liang Sun, Junyong Zhao, Daoqiang Zhang, Peng Wan, Wei Shao
2024	—	`conf`	Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation. MICCAI (1) Lingyu Chen, Yue Wang, Zhe Zhao, Hongen Liao, Daoqiang Zhang, Haojie Han, Fang Chen
2024	J	`jnl`	Hypergraph convolutional network for longitudinal data analysis in Alzheimer's disease. Comput. Biol. Medicine Xiaoke Hao, Jiawang Li, Mingming Ma, Jing Qin, Daoqiang Zhang, Feng Liu
2024	J	`jnl`	InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle. IEEE Trans. Neural Networks Learn. Syst. Mengting Xu, Tao Zhang, Zhongnian Li, Daoqiang Zhang
2024	J	`jnl`	Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction. CoRR Liutao Yang, Jiahao Huang, Yingying Fang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang
2024	—	`conf`	Localization and Angle Estimation of Capsule Robots in Ultrasound Images Using Spatially Adaptive Gaussian Distribution. BIBM Yue Wang, Lingyu Chen, Haojie Han, Daoqiang Zhang, Hongen Liao, Fang Chen
2024	J	`jnl`	MAS-CL: An End-to-End Multi-Atlas Supervised Contrastive Learning Framework for Brain ROI Segmentation. IEEE Trans. Image Process. Liang Sun, Yanling Fu, Junyong Zhao, Wei Shao, Qi Zhu, Daoqiang Zhang
2024	J	`jnl`	MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification. Artif. Intell. Medicine Jiashuang Huang, Xiaoyu Qi, Xueyun Cheng, Mingliang Wang, Hengrong Ju, Weiping Ding, Daoqiang Zhang
2024	J	`jnl`	MSEF-Net: Multi-scale edge fusion network for lumbosacral plexus segmentation with MR image. Artif. Intell. Medicine Junyong Zhao, Liang Sun, Zhi Sun, Xin Zhou, Haipeng Si, Daoqiang Zhang
2024	—	`conf`	MSTI-Former: A Multi-Scale Spatial-Temporal Information Enhanced Transformer for Attentive State Classification. ISBI Qianru Sun, Lianyu Wang, Liying Zhang, Peiliang Gong, Yueying Zhou, Daoqiang Zhang
2024	J	`jnl`	MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation. CoRR Jiahao Huang, Liutao Yang, Fanwen Wang, Yinzhe Wu, Yang Nan, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang
2024	J	`jnl`	Multi-Cluster Self-Paced Diverse Learning and Feature Fusion for Autism Spectrum Disorder Identification With Resting-State fMRI. IEEE Trans. Emerg. Top. Comput. Intell. Xiaoke Hao, Jingyi Wang, Zilong He, Yingchun Guo, Ming Yu, Feng Liu, Jing Qin, Daoqiang Zhang
2024	J	`jnl`	Multi-Instance Multi-Task Learning for Joint Clinical Outcome and Genomic Profile Predictions From the Histopathological Images. IEEE Trans. Medical Imaging Wei Shao, Hang Shi, Jianxin Liu, Yingli Zuo, Liang Sun, Tiansong Xia, Wanyuan Chen, Peng Wan, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang
2024	—	`conf`	OSAL-ND: Open-Set Active Learning for Nucleus Detection. MICCAI (4) Jiao Tang, Yagao Yue, Peng Wan, Mingliang Wang, Daoqiang Zhang, Wei Shao
2024	J	`jnl`	Ordinal Pattern Tree: A New Representation Method for Brain Network Analysis. IEEE Trans. Medical Imaging Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang
2024	J	`jnl`	Say No to Freeloader: Protecting Intellectual Property of Your Deep Model. CoRR Lianyu Wang, Meng Wang, Huazhu Fu, Daoqiang Zhang
2024	J	`jnl`	Say No to Freeloader: Protecting Intellectual Property of Your Deep Model. IEEE Trans. Pattern Anal. Mach. Intell. Lianyu Wang, Meng Wang, Huazhu Fu, Daoqiang Zhang
2024	J	`jnl`	Spatially Resolved Gene Expression Prediction from Histology via Multi-view Graph Contrastive Learning with HSIC-bottleneck Regularization. CoRR Changxi Chi, Hang Shi, Qi Zhu, Daoqiang Zhang, Wei Shao
2024	J	`jnl`	Spatio-Temporal Graph Hubness Propagation Model for Dynamic Brain Network Classification. IEEE Trans. Medical Imaging Qi Zhu, Shengrong Li, Xiangshui Meng, Qiang Xu, Zhiqiang Zhang, Wei Shao, Daoqiang Zhang
2024	J	`jnl`	T-S2Inet: Transformer-based sequence-to-image network for accurate nanopore sequence recognition. Bioinform. Xiaoyu Guan, Wei Shao, Daoqiang Zhang
2024	—	`conf`	TARDRL: Task-Aware Reconstruction for Dynamic Representation Learning of fMRI. MICCAI (11) Yunxi Zhao, Dong Nie, Geng Chen, Xia Wu, Daoqiang Zhang, Xuyun Wen
2024	J	`jnl`	TFAC-Net: A Temporal-Frequential Attentional Convolutional Network for Driver Drowsiness Recognition With Single-Channel EEG. IEEE Trans. Intell. Transp. Syst. Peiliang Gong, Pengpai Wang, Yueying Zhou, Xuyun Wen, Daoqiang Zhang
2024	A*	`conf`	Tumor Micro-Environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-Slide Pathological Images. CVPR Wei Shao, Yangyang Shi, Daoqiang Zhang, Junjie Zhou, Peng Wan
2024	—	`conf`	WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI. MICCAI (11) Pengcheng Xue, Dong Nie, Meijiao Zhu, Ming Yang, Han Zhang, Daoqiang Zhang, Xuyun Wen
2023	J	`jnl`	A Cognitive-Driven Ordinal Preservation for Multimodal Imbalanced Brain Disease Diagnosis. IEEE Trans. Cogn. Dev. Syst. Qi Zhu, Ting Zhu, Rui Zhang, Haizhou Ye, Kai Sun, Yong Xu, Daoqiang Zhang
2023	—	`conf`	A Multi-View Clustering-Based Method for Individual and Group Cortical Parcellations with Resting-State fMRI. ISBI Mengting Yang, Li-Ming Hsu, Shile Qi, Daoqiang Zhang, Xuyun Wen
2023	A*	`conf`	ASTDF-Net: Attention-Based Spatial-Temporal Dual-Stream Fusion Network for EEG-Based Emotion Recognition. ACM Multimedia Peiliang Gong, Ziyu Jia, Pengpai Wang, Yueying Zhou, Daoqiang Zhang
2023	J	`jnl`	Active learning for efficient analysis of high-throughput nanopore data. Bioinform. Xiaoyu Guan, Zhongnian Li, Yueying Zhou, Wei Shao, Daoqiang Zhang
2023	—	`conf`	Anatomical-Functional Fusion Network for Lesion Segmentation Using Dual-View CEUS. ADMA (2) Peng Wan, Chunrui Liu, Daoqiang Zhang
2023	J	`jnl`	Anatomy preserving GAN for realistic simulation of intraoperative liver ultrasound images. Comput. Methods Programs Biomed. Lingyu Chen, Hongen Liao, Wentao Kong, Daoqiang Zhang, Fang Chen
2023	J	`jnl`	CXR-Net: A Multitask Deep Learning Network for Explainable and Accurate Diagnosis of COVID-19 Pneumonia From Chest X-Ray Images. IEEE J. Biomed. Health Informatics Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Nina Dempsey, Symeon Lechareas, Ascanio Tridente, Haoming Chen, Stephen White, Daoqiang Zhang
2023	J	`jnl`	Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors From Pathological Images and Multi-Omics Data. IEEE Trans. Medical Imaging Wei Shao, Yingli Zuo, Yangyang Shi, Yawen Wu, Jiao Tang, Junyong Zhao, Liang Sun, Zixiao Lu, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang
2023	J	`jnl`	Contactless Palmprint Image Recognition Across Smartphones With Self-Paced CycleGAN. IEEE Trans. Inf. Forensics Secur. Qi Zhu, Guangnan Xin, Lunke Fei, Dong Liang, Zheng Zhang, Daoqiang Zhang, David Zhang
2023	J	`jnl`	Cross-Subject Cognitive Workload Recognition Based on EEG and Deep Domain Adaptation. IEEE Trans. Instrum. Meas. Yueying Zhou, Pengpai Wang, Peiliang Gong, Fulin Wei, Xuyun Wen, Xia Wu, Daoqiang Zhang
2023	—	`conf`	DACTransNet: A Hybrid CNN-Transformer Network for Histopathological Image Classification of Pancreatic Cancer. CICAI (2) Yongqing Kou, Cong Xia, Yiping Jiao, Daoqiang Zhang, Rongjun Ge
2023	J	`jnl`	Decoding the Continuous Motion Imagery Trajectories of Upper Limb Skeleton Points for EEG-Based Brain-Computer Interface. IEEE Trans. Instrum. Meas. Pengpai Wang, Peiliang Gong, Yueying Zhou, Xuyun Wen, Daoqiang Zhang
2023	J	`jnl`	Deep Multi-Modal Discriminative and Interpretability Network for Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging Qi Zhu, Bingliang Xu, Jiashuang Huang, Heyang Wang, Ruting Xu, Wei Shao, Daoqiang Zhang
2023	J	`jnl`	Deep Semi-Supervised Ultrasound Image Segmentation by Using a Shadow Aware Network With Boundary Refinement. IEEE Trans. Medical Imaging Fang Chen, Lingyu Chen, Wentao Kong, Weijing Zhang, Pengfei Zheng, Liang Sun, Daoqiang Zhang, Hongen Liao
2023	J	`jnl`	Dynamic Perfusion Representation and Aggregation Network for Nodule Segmentation Using Contrast-Enhanced US. IEEE J. Biomed. Health Informatics Peng Wan, Haiyan Xue, Chunrui Liu, Fang Chen, Wentao Kong, Daoqiang Zhang
2023	—	`conf`	Eye-Guided Dual-Path Network for Multi-organ Segmentation of Abdomen. MICCAI (7) Chong Wang, Daoqiang Zhang, Rongjun Ge
2023	J	`jnl`	FAM3L: Feature-Aware Multi-Modal Metric Learning for Integrative Survival Analysis of Human Cancers. IEEE Trans. Medical Imaging Wei Shao, Jianxin Liu, Yingli Zuo, Shile Qi, Honghai Hong, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang
2023	J	`jnl`	Frequency constraint-based adversarial attack on deep neural networks for medical image classification. Comput. Biol. Medicine Fang Chen, Jian Wang, Han Liu, Wentao Kong, Zhe Zhao, Longfei Ma, Hongen Liao, Daoqiang Zhang
2023	J	`jnl`	Hypergraph-regularized multimodal learning by graph diffusion for imaging genetics based Alzheimer's Disease diagnosis. Medical Image Anal. Meiling Wang, Wei Shao, Shuo Huang, Daoqiang Zhang
2023	J	`jnl`	Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics. IEEE Trans. Biomed. Eng. Xiaoke Hao, Qihao Tan, Yingchun Guo, Yunjia Xiao, Ming Yu, Meiling Wang, Jing Qin, Daoqiang Zhang, Alzheimer's Disease Neuroimaging Initiative
2023	J	`jnl`	Immunohistochemical Index Prediction of Breast Cancer by Using Hybrid Ultrasound Data. IEEE Trans. Biomed. Eng. Fang Chen, Haojie Han, Guochen Ning, Baojie Wen, Hongen Liao, Wentao Kong, Daoqiang Zhang
2023	—	`conf`	JCCS-PFGM: A Novel Circle-Supervision Based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition. MICCAI (10) Rongjun Ge, Yuting He, Cong Xia, Daoqiang Zhang
2023	J	`jnl`	Joint Segmentation and Differential Diagnosis of Thyroid Nodule in Contrast-Enhanced Ultrasound Images. IEEE Trans. Biomed. Eng. Fang Chen, Haojie Han, Peng Wan, Hongen Liao, Chunrui Liu, Daoqiang Zhang
2023	J	`jnl`	Layer-wise partitioning and merging for efficient and scalable deep learning. Future Gener. Comput. Syst. Samson B. Akintoye, Liangxiu Han, Huw Lloyd, X. Zhang, Darren Dancey, Haoming Chen, Daoqiang Zhang
2023	J	`jnl`	Low-Dose CT Denoising via Sinogram Inner-Structure Transformer. IEEE Trans. Medical Imaging Liutao Yang, Zhongnian Li, Rongjun Ge, Junyong Zhao, Haipeng Si, Daoqiang Zhang
2023	J	`jnl`	Machine Learning for Brain Imaging Genomics Methods: A Review. Int. J. Autom. Comput. Mei-Ling Wang, Wei Shao, Xiaoke Hao, Daoqiang Zhang
2023	A*	`conf`	Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection. CVPR Lianyu Wang, Meng Wang, Daoqiang Zhang, Huazhu Fu
2023	J	`jnl`	Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection. CoRR Lianyu Wang, Meng Wang, Daoqiang Zhang, Huazhu Fu
2023	J	`jnl`	Multi-Discriminator Active Adversarial Network for Multi-Center Brain Disease Diagnosis. IEEE Trans. Big Data Qi Zhu, Qiming Yang, Mingming Wang, Xiangyu Xu, Yuwu Lu, Wei Shao, Daoqiang Zhang
2023	J	`jnl`	Multi-Modal Non-Euclidean Brain Network Analysis With Community Detection and Convolutional Autoencoder. IEEE Trans. Emerg. Top. Comput. Intell. Qi Zhu, Jing Yang, Shuihua Wang, Daoqiang Zhang, Zheng Zhang
2023	J	`jnl`	Multi-Spectral Palmprints Joint Attack and Defense With Adversarial Examples Learning. IEEE Trans. Inf. Forensics Secur. Qi Zhu, Yuze Zhou, Lunke Fei, Daoqiang Zhang, David Zhang
2023	—	`conf`	Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation. MICCAI (1) Yili Lin, Dong Nie, Yuting Liu, Ming Yang, Daoqiang Zhang, Xuyun Wen
2023	J	`jnl`	Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction. Pattern Recognit. Liang Sun, Wei Shao, Qi Zhu, Meiling Wang, Gang Li, Daoqiang Zhang
2023	—	`conf`	Multi-task Multi-instance Learning for Jointly Diagnosis and Prognosis of Early-Stage Breast Invasive Carcinoma from Whole-Slide Pathological Images. IPMI Jianxin Liu, Rongjun Ge, Peng Wan, Qi Zhu, Daoqiang Zhang, Wei Shao
2023	J	`jnl`	Multimodal Self-Paced Locality-Preserving Learning for Diagnosis of Alzheimer's Disease. IEEE Trans. Cogn. Dev. Syst. Xiaoke Hao, Ruxue Wang, Yingchun Guo, Yunjia Xiao, Ming Yu, Meiling Wang, Weibin Chen, Daoqiang Zhang
2023	J	`jnl`	Optimal transport based pyramid graph kernel for autism spectrum disorder diagnosis. Pattern Recognit. Kai Ma, Shuo Huang, Peng Wan, Daoqiang Zhang
2023	—	`conf`	PSDD-Net: A Dual-Domain Framework for Pancreatic Cancer Image Segmentation with Multi-scale Local-Dense Net. CICAI (2) Dongying Yang, Cong Xia, Ge Tian, Daoqiang Zhang, Rongjun Ge
2023	J	`jnl`	Pairwise feature-based generative adversarial network for incomplete multi-modal Alzheimer's disease diagnosis. Vis. Comput. Haizhou Ye, Qi Zhu, Yuan Yao, Yichao Jin, Daoqiang Zhang
2023	—	`conf`	Positive Definite Wasserstein Graph Kernel for Brain Disease Diagnosis. MICCAI (5) Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang
2023	J	`jnl`	Precise angle estimation of capsule robot in ultrasound using heatmap guided two-stage network. Comput. Methods Programs Biomed. Fang Chen, Lingyu Chen, Tianze Xu, Haoran Ye, Hongen Liao, Daoqiang Zhang
2023	—	`conf`	Prior-Driven Dynamic Brain Networks for Multi-modal Emotion Recognition. MICCAI (8) Chuhang Zheng, Wei Shao, Daoqiang Zhang, Qi Zhu
2023	J	`jnl`	SD-CNN: A static-dynamic convolutional neural network for functional brain networks. Medical Image Anal. Jiashuang Huang, Mingliang Wang, Hengrong Ju, Zhenquan Shi, Weiping Ding, Daoqiang Zhang
2023	J	`jnl`	Self-Supervised Federated Adaptation for Multi-Site Brain Disease Diagnosis. IEEE Trans. Big Data Qiming Yang, Qi Zhu, Mingming Wang, Wei Shao, Zheng Zhang, Daoqiang Zhang
2023	J	`jnl`	Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images. IEEE Trans. Emerg. Top. Comput. Intell. Qi Zhu, Yuze Zhou, Yuan Yao, Liang Sun, Feng Shi, Wei Shao, Daoqiang Zhang, Dinggang Shen
2023	J	`jnl`	T-MGCL: Molecule Graph Contrastive Learning Based on Transformer for Molecular Property Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Xiaoyu Guan, Daoqiang Zhang
2023	—	`conf`	TSM: Three-Stream Mix For Unsupervised Medical Image Registration. BIBM Zhen Gu, Daoqiang Zhang, Fang Chen, Peng Wan, Lingyu Chen
2023	—	`conf`	Thinking Like Sonographers: A Deep CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound. MICCAI (6) Zhi Cao, Weijing Zhang, Keke Chen, Di Zhao, Daoqiang Zhang, Hongen Liao, Fang Chen
2023	—	`conf`	Thyroid Nodule Diagnosis in Dynamic Contrast-Enhanced Ultrasound via Microvessel Infiltration Awareness. MICCAI (6) Haojie Han, Hongen Liao, Daoqiang Zhang, Wentao Kong, Fang Chen
2023	—	`conf`	Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors. MICCAI (6) Yawen Wu, Yingli Zuo, Qi Zhu, Jianpeng Sheng, Daoqiang Zhang, Wei Shao
2023	J	`jnl`	Transport-Based Anatomical-Functional Metric Learning for Liver Tumor Recognition Using Dual-View Dynamic CEUS Imaging. IEEE Trans. Biomed. Eng. Peng Wan, Haiyan Xue, Chunrui Liu, Fang Chen, Wei Shao, Jing Qin, Wentao Kong, Daoqiang Zhang
2023	J	`jnl`	Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification. CoRR Meng Wang, Tian Lin, Lianyu Wang, Aidi Lin, Ke Zou, Xinxing Xu, Yi Zhou, Yuanyuan Peng, Qingquan Meng, Yiming Qian, Guoyao Deng, Zhiqun Wu, Junhong Chen, Jianhong Lin, Mingzhi Zhang, Weifang Zhu, Changqing Zhang, Xinjian Chen, Daoqiang Zhang, Rick Siow Mong Goh, Yong Liu, Chi Pui Pang, Haoyu Chen, Huazhu Fu
2023	J	`jnl`	sMRI-PatchNet: A Novel Efficient Explainable Patch-Based Deep Learning Network for Alzheimer's Disease Diagnosis With Structural MRI. IEEE Access Xin Zhang, Liangxiu Han, Lianghao Han, Haoming Chen, Darren Dancey, Daoqiang Zhang
2023	J	`jnl`	sMRI-PatchNet: A novel explainable patch-based deep learning network for Alzheimer's disease diagnosis and discriminative atrophy localisation with Structural MRI. CoRR Xin Zhang, Liangxiu Han, Lianghao Han, Haoming Chen, Darren Dancey, Daoqiang Zhang
2022	—	`conf`	3D MRI Cardiac Segmentation Under Respiratory Motion Artifacts. STACOM@MICCAI Yongqing Kou, Rongjun Ge, Daoqiang Zhang
2022	J	`jnl`	A Graph Convolutional Multiple Instance Learning on a Hypersphere Manifold Approach for Diagnosing Chronic Obstructive Pulmonary Disease in CT Images. IEEE J. Biomed. Health Informatics Ling Chen, Qixing Feng, Xi Yin, Xiangde Min, Lei Shi, Defu Yang, Yen-Wei Chen, Daoqiang Zhang, Wentao Zhu
2022	J	`jnl`	A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning. IEEE Access Samson B. Akintoye, Liangxiu Han, Xin Zhang, Haoming Chen, Daoqiang Zhang
2022	—	`conf`	A Multi-Scale Multi-Hop Graph Convolution Network for Predicting Fluid Intelligence via Functional Connectivity. BIBM Xuyun Wen, Qumei Cao, Daoqiang Zhang
2022	J	`jnl`	ASMFS: Adaptive-similarity-based multi-modality feature selection for classification of Alzheimer's disease. Pattern Recognit. Yuang Shi, Chen Zu, Mei Hong, Luping Zhou, Lei Wang, Xi Wu, Jiliu Zhou, Daoqiang Zhang, Yan Wang
2022	J	`jnl`	An Explainable 3D Residual Self-Attention Deep Neural Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI. IEEE J. Biomed. Health Informatics Xin Zhang, Liangxiu Han, Wenyong Zhu, Liang Sun, Daoqiang Zhang
2022	J	`jnl`	Annotation-guided encoder-decoder network for bone extraction in ultrasound-assisted orthopedic surgery. Comput. Biol. Medicine Fang Chen, Peng Xu, Yanting Xie, Daoqiang Zhang, Hongen Liao, Zhe Zhao
2022	J	`jnl`	Cognitive Workload Recognition Using EEG Signals and Machine Learning: A Review. IEEE Trans. Cogn. Dev. Syst. Yueying Zhou, Shuo Huang, Ziming Xu, Pengpai Wang, Xia Wu, Daoqiang Zhang
2022	J	`jnl`	Complementary Labels Learning with Augmented Classes. CoRR Zhongnian Li, Jian Zhang, Mengting Xu, Xinzheng Xu, Daoqiang Zhang
2022	J	`jnl`	Consistent connectome landscape mining for cross-site brain disease identification using functional MRI. Medical Image Anal. Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Mingxia Liu, Qingshan Liu
2022	—	`conf`	DDPNet: A Novel Dual-Domain Parallel Network for Low-Dose CT Reconstruction. MICCAI (6) Rongjun Ge, Yuting He, Cong Xia, Hailong Sun, Yikun Zhang, Dianlin Hu, Sijie Chen, Yang Chen, Shuo Li, Daoqiang Zhang
2022	—	`conf`	Deep Domain Adaptation for EEG-Based Cross-Subject Cognitive Workload Recognition. ICONIP (5) Yueying Zhou, Pengpai Wang, Peiliang Gong, Yanling Liu, Xuyun Wen, Xia Wu, Daoqiang Zhang
2022	—	`conf`	Dictionary-Induced Manifold Learning for Incomplete Multi-modal Fusion. APWeb/WAIM (2) Bingliang Xu, Haizhou Ye, Zheng Zhang, Daoqiang Zhang, Qi Zhu
2022	J	`jnl`	Editorial: Multi-site neuroimage analysis: Domain adaptation and batch effects. Frontiers Neuroinformatics Muhammad Yousefnezhad, Daoqiang Zhang, Andrew J. Greenshaw, Russell Greiner
2022	—	`conf`	Efficient Metric Learning with Graph Transformer for Accurate Colorectal Cancer Staging. BHI Zongxiang Pei, Daoqiang Zhang, Wei Shao
2022	J	`jnl`	Efficient lower-limb segmentation for large-scale volumetric CT by using projection view and voxel group attention. Medical Biol. Eng. Comput. Fang Chen, Yanting Xie, Peng Xu, Zhe Zhao, Daoqiang Zhang, Hongen Liao
2022	J	`jnl`	Functional Brain Connectivity Hyper-Network Embedded with Structural Information for Epilepsy Diagnosis. Int. J. Image Graph. Geng Zhang, Qi Zhu, Jing Yang, Ruting Xu, Zhiqiang Zhang, Daoqiang Zhang
2022	—	`conf`	Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors. MICCAI (2) Yingli Zuo, Yawen Wu, Zixiao Lu, Qi Zhu, Kun Huang, Daoqiang Zhang, Wei Shao
2022	J	`jnl`	Identify connectome between genotypes and brain network phenotypes via deep self-reconstruction sparse canonical correlation analysis. Bioinform. Meiling Wang, Wei Shao, Xiaoke Hao, Shuo Huang, Daoqiang Zhang
2022	J	`jnl`	Incomplete multi-modal brain image fusion for epilepsy classification. Inf. Sci. Qi Zhu, Huijie Li, Haizhou Ye, Zhiqiang Zhang, Ran Wang, Zizhu Fan, Daoqiang Zhang
2022	J	`jnl`	InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle. CoRR Mengting Xu, Tao Zhang, Zhongnian Li, Daoqiang Zhang
2022	—	`conf`	Integrative Analysis of Multi-view Histopathological Image Features for the Diagnosis of Lung Cancer. CICAI (2) Zongxiang Pei, Yingli Zuo, Liang Sun, Meiling Wang, Daoqiang Zhang, Wei Shao
2022	J	`jnl`	Layer-Wise Partitioning and Merging for Efficient and Scalable Deep Learning. CoRR Samson B. Akintoye, Liangxiu Han, Huw Lloyd, Xin Zhang, Darren Dancey, Haoming Chen, Daoqiang Zhang
2022	A*	`conf`	Learning Projection Views for Sparse-View CT Reconstruction. ACM Multimedia Liutao Yang, Rongjun Ge, Shichang Feng, Daoqiang Zhang
2022	J	`jnl`	Learning from Positive and Unlabeled Data with Augmented Classes. CoRR Zhongnian Li, Liutao Yang, Zhongchen Ma, Tongfeng Sun, Xinzheng Xu, Daoqiang Zhang
2022	J	`jnl`	Low-Dose CT Denoising via Sinogram Inner-Structure Transformer. CoRR Liutao Yang, Zhongnian Li, Rongjun Ge, Junyong Zhao, Haipeng Si, Daoqiang Zhang
2022	J	`jnl`	MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attack. IEEE Trans. Medical Imaging Mengting Xu, Tao Zhang, Daoqiang Zhang
2022	J	`jnl`	Multiband decomposition and spectral discriminative analysis for motor imagery BCI via deep neural network. Frontiers Comput. Sci. Pengpai Wang, Mingliang Wang, Yueying Zhou, Ziming Xu, Daoqiang Zhang
2022	J	`jnl`	Multimodal Triplet Attention Network for Brain Disease Diagnosis. IEEE Trans. Medical Imaging Qi Zhu, Heyang Wang, Bingliang Xu, Zhiqiang Zhang, Wei Shao, Daoqiang Zhang
2022	—	`conf`	Optimal Transport Based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis. MICCAI (3) Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang
2022	J	`jnl`	RE-3DLVNet: Refined estimation of the left ventricle volume via interactive 3D segmentation and reinforced quantification. Knowl. Based Syst. Rongjun Ge, Cong Xia, Yuting He, Hailong Sun, Daoqiang Zhang, Guanyu Yang, Wentao Xiang, Jinjun Shi, Limin Luo, Yinsu Zhu, Shuo Li, Yang Chen
2022	—	`conf`	Region-Based Dense Adversarial Generation for Medical Image Segmentation. CICAI (3) Ao Shen, Liang Sun, Mengting Xu, Daoqiang Zhang
2022	J	`jnl`	Residual-atrous attention network for lumbosacral plexus segmentation with MR image. Comput. Medical Imaging Graph. Junyong Zhao, Liang Sun, Xin Zhou, Shuo Huang, Haipeng Si, Daoqiang Zhang
2022	J	`jnl`	S2Snet: deep learning for low molecular weight RNA identification with nanopore. Briefings Bioinform. Xiaoyu Guan, Yuqin Wang, Wei Shao, Zhongnian Li, Shuo Huang, Daoqiang Zhang
2022	J	`jnl`	Scale-Invariant Adversarial Attack for Evaluating and Enhancing Adversarial Defenses. CoRR Mengting Xu, Tao Zhang, Zhongnian Li, Daoqiang Zhang
2022	J	`jnl`	Stacked Topological Preserving Dynamic Brain Networks Representation and Classification. IEEE Trans. Medical Imaging Qi Zhu, Ruting Xu, Ran Wang, Xijia Xu, Zhiqiang Zhang, Daoqiang Zhang
2022	B	`conf`	TcT: Temporal and channel Transformer for EEG-based Emotion Recognition. CBMS Yanling Liu, Yueying Zhou, Daoqiang Zhang
2022	J	`jnl`	Temporal Information-Guided Generative Adversarial Networks for Stimuli Image Reconstruction From Human Brain Activities. IEEE Trans. Cogn. Dev. Syst. Shuo Huang, Liang Sun, Muhammad Yousefnezhad, Meiling Wang, Daoqiang Zhang
2022	J	`jnl`	TypeSeg: A type-aware encoder-decoder network for multi-type ultrasound images co-segmentation. Comput. Methods Programs Biomed. Fang Chen, Haoran Ye, Daoqiang Zhang, Hongen Liao
2022	—	`conf`	Uncertainty-aware Cascade Network for Ultrasound Image Segmentation with Ambiguous Boundary. MICCAI (4) Yanting Xie, Hongen Liao, Daoqiang Zhang, Fang Chen
2022	J	`jnl`	Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain. CoRR Lianyu Wang, Meng Wang, Daoqiang Zhang, Huazhu Fu
2022	J	`jnl`	X-CTRSNet: 3D cervical vertebra CT reconstruction and segmentation directly from 2D X-ray images. Knowl. Based Syst. Rongjun Ge, Yuting He, Cong Xia, Chenchu Xu, Weiya Sun, Guanyu Yang, Junru Li, Zhihua Wang, Hailing Yu, Daoqiang Zhang, Yang Chen, Limin Luo, Shuo Li, Yinsu Zhu
2021	—	`conf`	A Consistency Regularization for Certified Robust Neural Networks. CICAI (2) Mengting Xu, Tao Zhang, Zhongnian Li, Daoqiang Zhang
2021	J	`jnl`	A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning. CoRR Samson B. Akintoye, Liangxiu Han, Xin Zhang, Haoming Chen, Daoqiang Zhang
2021	—	`conf`	A Multi-Layer Random Walk Method for Local Dynamic Community Detection in Brain Functional Network. BIBM Xuyun Wen, Daoqiang Zhang
2021	—	`conf`	A Multilayer Maximum Spanning Tree Kernel For Brain Networks. ISBI Xiaoxin Wang, Xuyun Wen, Kai Ma, Daoqiang Zhang
2021	J	`jnl`	An effective recognition approach for contactless palmprint. Vis. Comput. Nuoya Xu, Qi Zhu, Xiangyu Xu, Daoqiang Zhang
2021	J	`jnl`	Deep Representational Similarity Learning for Analyzing Neural Signatures in Task-based fMRI Dataset. Neuroinformatics Muhammad Yousefnezhad, Jeffrey Sawalha, Alessandro Selvitella, Daoqiang Zhang
2021	J	`jnl`	Deep Rényi entropy graph kernel. Pattern Recognit. Lixiang Xu, Lu Bai, Xiaoyi Jiang, Ming Tan, Daoqiang Zhang, Bin Luo
2021	—	`conf`	Deep Self-Reconstruction Sparse Canonical Correlation Analysis For Brain Imaging Genetics. ISBI Meiling Wang, Wei Shao, Shuo Huang, Daoqiang Zhang
2021	J	`jnl`	Detecting differential transcript usage across multiple conditions for RNA-seq data based on the smoothed LDA model. Frontiers Comput. Sci. Jing Li, Xuejun Liu, Daoqiang Zhang
2021	J	`jnl`	Dual Attention Multi-Instance Deep Learning for Alzheimer's Disease Diagnosis With Structural MRI. IEEE Trans. Medical Imaging Wenyong Zhu, Liang Sun, Jiashuang Huang, Liangxiu Han, Daoqiang Zhang
2021	—	`conf`	Dual-Attention Network for Acute Pancreatitis Lesion Detection with CT Images. MICAD Jinyi Zhang, Daoqiang Zhang
2021	B	`conf`	Fs-Net: Filter Selection Network For Hyperspectral Reconstruction. ICIP Liutao Yang, Zhongnian Li, Zongxiang Pei, Daoqiang Zhang
2021	J	`jnl`	GACDN: generative adversarial feature completion and diagnosis network for COVID-19. BMC Medical Imaging Qi Zhu, Haizhou Ye, Liang Sun, Zhongnian Li, Ran Wang, Feng Shi, Dinggang Shen, Daoqiang Zhang
2021	—	`conf`	GBCI: Adaptive Frequency Band Learning for Gender Recognition in Brain-Computer Interfaces. CICAI Pengpai Wang, Yueying Zhou, Zhongnian Li, Daoqiang Zhang
2021	B	`conf`	Graph-In-Graph Convolutional Networks For Brain Disease Diagnosis. ICIP Haiyu Zhou, Daoqiang Zhang
2021	J	`jnl`	Guest Editorial Multi-Modal Computing for Biomedical Intelligence Systems. IEEE J. Biomed. Health Informatics Guoyan Zheng, Daoqiang Zhang, Wenbing Zhao
2021	J	`jnl`	Hierarchical Temporal Attention Network for Thyroid Nodule Recognition Using Dynamic CEUS Imaging. IEEE Trans. Medical Imaging Peng Wan, Fang Chen, Chunrui Liu, Wentao Kong, Daoqiang Zhang
2021	J	`jnl`	Identify Complex Imaging Genetic Patterns via Fusion Self-Expressive Network Analysis. IEEE Trans. Medical Imaging Meiling Wang, Wei Shao, Xiaoke Hao, Daoqiang Zhang
2021	J	`jnl`	Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. Meiling Wang, Wei Shao, Xiaoke Hao, Li Shen, Daoqiang Zhang
2021	—	`conf`	Identifying Quantitative and Explanatory Tumor Indexes from Dynamic Contrast Enhanced Ultrasound. MICCAI (8) Peng Wan, Chunrui Liu, Fang Chen, Jing Qin, Daoqiang Zhang
2021	—	`conf`	Image-Based 3D Ultrasound Reconstruction with Optical Flow via Pyramid Warping Network. EMBC Yanting Xie, Hongen Liao, Daoqiang Zhang, Lei Zhou, Fang Chen
2021	J	`jnl`	MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attack. CoRR Mengting Xu, Tao Zhang, Daoqiang Zhang
2021	J	`jnl`	Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI. Medical Image Anal. Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang
2021	A	`conf`	Sign-aware Perturbations Regression. SDM Zhongnian Li, Tao Zhang, Wei Shao, Songcan Chen, Daoqiang Zhang
2021	J	`jnl`	Supervised Hyperalignment for Multisubject fMRI Data Alignment. IEEE Trans. Cogn. Dev. Syst. Muhammad Yousefnezhad, Alessandro Selvitella, Liangxiu Han, Daoqiang Zhang
2021	J	`jnl`	Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack. CoRR Mengting Xu, Tao Zhang, Zhongnian Li, Mingxia Liu, Daoqiang Zhang
2021	J	`jnl`	Towards evaluating the robustness of deep diagnostic models by adversarial attack. Medical Image Anal. Mengting Xu, Tao Zhang, Zhongnian Li, Mingxia Liu, Daoqiang Zhang
2021	J	`jnl`	Visual-guided attentive attributes embedding for zero-shot learning. Neural Networks Rui Zhang, Qi Zhu, Xiangyu Xu, Daoqiang Zhang, Sheng-Jun Huang
2021	J	`jnl`	fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review. Int. J. Autom. Comput. Shuo Huang, Wei Shao, Mei-Ling Wang, Daoqiang Zhang
2020	J	`jnl`	A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis. CoRR Li Zhang, Mingliang Wang, Mingxia Liu, Daoqiang Zhang
2020	J	`jnl`	A novel node-level structure embedding and alignment representation of structural networks for brain disease analysis. Medical Image Anal. Jiashuang Huang, Mingliang Wang, Xijia Xu, Biao Jie, Daoqiang Zhang
2020	J	`jnl`	ASMFS: Adaptive-Similarity-based Multi-modality Feature Selection for Classification of Alzheimer's Disease. CoRR Yuang Shi, Chen Zu, Mei Hong, Luping Zhou, Lei Wang, Xi Wu, Jiliu Zhou, Daoqiang Zhang, Yan Wang
2020	J	`jnl`	Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT. IEEE J. Biomed. Health Informatics Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Bin Song, Wanchun Gao, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, He Sui, Daoqiang Zhang, Dinggang Shen
2020	J	`jnl`	Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. CoRR Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, Wanchun Gao, He Sui, Daoqiang Zhang, Dinggang Shen
2020	J	`jnl`	Adaptive feature weighting for robust Lp-norm sparse representation with application to biometric image classification. Int. J. Mach. Learn. Cybern. Qi Zhu, Nuoya Xu, Sheng-Jun Huang, Jianjun Qian, Daoqiang Zhang
2020	J	`jnl`	An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRI. CoRR Xin Zhang, Liangxiu Han, Wenyong Zhu, Liang Sun, Daoqiang Zhang
2020	J	`jnl`	Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images. IEEE Trans. Medical Imaging Liang Sun, Wei Shao, Daoqiang Zhang, Mingxia Liu
2020	J	`jnl`	Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis. IEEE Trans. Medical Imaging Jiashuang Huang, Luping Zhou, Lei Wang, Daoqiang Zhang
2020	J	`jnl`	Automatic estimation of morphological characteristics of proximal tibia for precise plate treatment using model matching. Comput. Medical Imaging Graph. Fang Chen, Zhe Zhao, Jia Liu, Xiwen Cui, Daoqiang Zhang, Xiu-yun Su, Jing-xin Zhao, Peifu Tang, Hongen Liao
2020	—	`conf`	CEUS-Net: Lesion Segmentation in Dynamic Contrast-Enhanced Ultrasound with Feature-Reweighted Attention Mechanism. ISBI Peng Wan, Fang Chen, Xiaowei Zhu, Chunrui Liu, Yidan Zhang, Wentao Kong, Daoqiang Zhang
2020	J	`jnl`	Coherent Pattern in Multi-Layer Brain Networks: Application to Epilepsy Identification. IEEE J. Biomed. Health Informatics Jiashuang Huang, Qi Zhu, Mingliang Wang, Luping Zhou, Zhiqiang Zhang, Daoqiang Zhang
2020	—	`conf`	Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification. MLMI@MICCAI Chunxiang Feng, Biao Jie, Xintao Ding, Daoqiang Zhang, Mingxia Liu
2020	J	`jnl`	Cross-spectral palmprint recognition with low-rank canonical correlation analysis. Multim. Tools Appl. Qi Zhu, Nuoya Xu, Zheng Zhang, Donghai Guan, Ran Wang, Daoqiang Zhang
2020	J	`jnl`	Deep Representational Similarity Learning for analyzing neural signatures in task-based fMRI dataset. CoRR Muhammad Yousefnezhad, Jeffrey Sawalha, Alessandro Selvitella, Daoqiang Zhang
2020	—	`conf`	Depth-Adaptive Discriminant Projection with Optimal Transport. PRCV (2) Peng Wan, Daoqiang Zhang
2020	—	`conf`	Exploiting Saliency in Attention Based Convolutional Neural Network for Classification of Vertical Root Fractures. ICPR Workshops (1) Zhenxing Xu, Peng Wan, Gulibire Aihemaiti, Daoqiang Zhang
2020	J	`jnl`	Gait acquisition and analysis system for osteoarthritis based on hybrid prediction model. Comput. Medical Imaging Graph. Fang Chen, Xiwen Cui, Zhe Zhao, Daoqiang Zhang, Cong Ma, Xinran Zhang, Hongen Liao
2020	A*	`conf`	Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data. AAAI Weida Li, Mingxia Liu, Fang Chen, Daoqiang Zhang
2020	—	`conf`	Hierarchical Representation Learning of Dynamic Brain Networks for Schizophrenia Diagnosis. PRCV (2) Jiashuang Huang, Xu Li, Mingliang Wang, Daoqiang Zhang
2020	J	`jnl`	Hierarchical Structured Sparse Learning for Schizophrenia Identification. Neuroinformatics Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Li Shen, Xijia Xu, Daoqiang Zhang, Mingxia Liu
2020	J	`jnl`	High-Order Feature Learning for Multi-Atlas Based Label Fusion: Application to Brain Segmentation With MRI. IEEE Trans. Image Process. Liang Sun, Wei Shao, Mingliang Wang, Daoqiang Zhang, Mingxia Liu
2020	J	`jnl`	Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease. Comput. Medical Imaging Graph. Wei Shao, Yao Peng, Chen Zu, Mingliang Wang, Daoqiang Zhang
2020	J	`jnl`	IEEE Access Special Section Editorial: Scalable Deep Learning for Big Data. IEEE Access Liangxiu Han, Daoqiang Zhang, Omer F. Rana, Yi Pan, Sohail Jabbar, Mazin Yousif, Moayad Aloqaily
2020	J	`jnl`	Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation. IEEE Trans. Medical Imaging Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
2020	J	`jnl`	Improved 3D Catheter Shape Estimation Using Ultrasound Imaging for Endovascular Navigation: A Further Study. IEEE J. Biomed. Health Informatics Fang Chen, Jia Liu, Xinran Zhang, Daoqiang Zhang, Hongen Liao
2020	J	`jnl`	Improving the Certified Robustness of Neural Networks via Consistency Regularization. CoRR Mengting Xu, Tao Zhang, Zhongnian Li, Wei Shao, Daoqiang Zhang
2020	J	`jnl`	Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis. IEEE Trans. Medical Imaging Wei Shao, Kun Huang, Zhi Han, Jun Cheng, Liang Cheng, Tongxin Wang, Liang Sun, Zixiao Lu, Jie Zhang, Daoqiang Zhang
2020	J	`jnl`	LGSLRR: Towards fusing discriminative ordinal local and global structured low-rank representation for image recognition. Inf. Sci. Qi Zhu, Rui Zhang, Sheng-Jun Huang, Zheng Zhang, Daoqiang Zhang
2020	J	`jnl`	Latent correlation embedded discriminative multi-modal data fusion. Signal Process. Qi Zhu, Xiangyu Xu, Ning Yuan, Zheng Zhang, Donghai Guan, Sheng-Jun Huang, Daoqiang Zhang
2020	A*	`conf`	MRI Measurement Matrix Learning via Correlation Reweighting. ACM Multimedia Zhongnian Li, Tao Zhang, Ruoyu Chen, Daoqiang Zhang
2020	J	`jnl`	Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease. Medical Image Anal. Xiaoke Hao, Yongjin Bao, Yingchun Guo, Ming Yu, Daoqiang Zhang, Shannon L. Risacher, Andrew J. Saykin, Xiaohui Yao, Li Shen
2020	J	`jnl`	Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers. Medical Image Anal. Wei Shao, Tongxin Wang, Liang Sun, Tianhan Dong, Zhi Han, Zhi Huang, Jie Zhang, Daoqiang Zhang, Kun Huang
2020	J	`jnl`	Nyström Subspace Learning for Large-scale SVMs. CoRR Weida Li, Mingxia Liu, Daoqiang Zhang
2020	J	`jnl`	Ordinal Pattern Kernel for Brain Connectivity Network Classification. CoRR Kai Ma, Biao Jie, Wei Shao, Daoqiang Zhang
2020	—	`conf`	Perceived Image Reconstruction from Human Brain Activity via Time-Series Information Guided Generative Adversarial Networks. ICONIP (5) Shuo Huang, Liang Sun, Muhammad Yousefnezhad, Meiling Wang, Daoqiang Zhang
2020	J	`jnl`	Querying Representative and Informative Super-Pixels for Filament Segmentation in Bioimages. IEEE ACM Trans. Comput. Biol. Bioinform. Wei Shao, Sheng-Jun Huang, Mingxia Liu, Daoqiang Zhang
2020	A*	`conf`	Shared Space Transfer Learning for analyzing multi-site fMRI data. NeurIPS Muhammad Yousefnezhad, Alessandro Selvitella, Daoqiang Zhang, Andrew J. Greenshaw, Russell Greiner
2020	J	`jnl`	Shared Space Transfer Learning for analyzing multi-site fMRI data. CoRR Muhammad Yousefnezhad, Alessandro Selvitella, Daoqiang Zhang, Andrew J. Greenshaw, Russell Greiner
2020	J	`jnl`	Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network. IEEE Trans. Biomed. Eng. Mingliang Wang, Chunfeng Lian, Dongren Yao, Daoqiang Zhang, Mingxia Liu, Dinggang Shen
2020	J	`jnl`	Supervised Hyperalignment for multi-subject fMRI data alignment. CoRR Muhammad Yousefnezhad, Alessandro Selvitella, Liangxiu Han, Daoqiang Zhang
2020	J	`jnl`	Tissue Structure Updating for In Situ Augmented Reality Navigation Using Calibrated Ultrasound and Two-Level Surface Warping. IEEE Trans. Biomed. Eng. Fang Chen, Xiwen Cui, Jia Liu, Boxuan Han, Xinran Zhang, Daoqiang Zhang, Hongen Liao
2020	J	`jnl`	Transport based Graph Kernels. CoRR Kai Ma, Peng Wan, Daoqiang Zhang
2020	—	`conf`	Transport-Based Joint Distribution Alignment for Multi-site Autism Spectrum Disorder Diagnosis Using Resting-State fMRI. MICCAI (2) Junyi Zhang, Peng Wan, Daoqiang Zhang
2020	—	`conf`	Unified Brain Network with Functional and Structural Data. MICCAI (7) Jing Yang, Qi Zhu, Rui Zhang, Jiashuang Huang, Daoqiang Zhang
2019	J	`jnl`	A Graph-Based Decoding Model for Incomplete Multi-Subject fMRI Functional Alignment. CoRR Weida Li, Fang Chen, Daoqiang Zhang
2019	—	`conf`	A New Network Traffic Identification Base on Deep Factorization Machine. IScIDE (2) Zhenxing Xu, Junyi Zhang, Daoqiang Zhang, Hanyu Wei
2019	—	`conf`	Adaptive Joint Attention with Reinforcement Training for Convolutional Image Caption. HBAI@IJCAI Ruoyu Chen, Zhongnian Li, Daoqiang Zhang
2019	—	`conf`	Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis. GLMI@MICCAI Zhengdong Wang, Biao Jie, Weixin Bian, Daoqiang Zhang, Dinggang Shen, Mingxia Liu
2019	—	`conf`	Diagnosis-Guided Multi-modal Feature Selection for Prognosis Prediction of Lung Squamous Cell Carcinoma. MICCAI (4) Wei Shao, Tongxin Wang, Zhi Huang, Jun Cheng, Zhi Han, Daoqiang Zhang, Kun Huang
2019	J	`jnl`	Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease. Bioinform. Meiling Wang, Xiaoke Hao, Jiashuang Huang, Wei Shao, Daoqiang Zhang
2019	A*	`conf`	Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification. AAAI Mingliang Wang, Jiashuang Huang, Mingxia Liu, Daoqiang Zhang
2019	—	`conf`	Graph Hyperalignment for Multi-subject fMRI Functional Alignment. GLMI@MICCAI Weida Li, Fang Chen, Daoqiang Zhang
2019	—	`ed.`	Graph Learning in Medical Imaging - First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings GLMI@MICCAI Daoqiang Zhang, Luping Zhou, Biao Jie, Mingxia Liu
2019	—	`ed.`	Human Brain and Artificial Intelligence - First International Workshop, HBAI 2019, Held in Conjunction with IJCAI 2019, Macao, China, August 12, 2019, Revised Selected Papers HBAI@IJCAI An Zeng, Dan Pan, Tianyong Hao, Daoqiang Zhang, Yiyu Shi, Xiaowei Song
2019	J	`jnl`	Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Xiaoke Hao, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Jintai Yu, Huifu Wang, Lan Tan, Li Shen, Daoqiang Zhang
2019	J	`jnl`	Identifying Resting-State Multifrequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification. IEEE J. Biomed. Health Informatics Jiashuang Huang, Qi Zhu, Xiaoke Hao, Xiaomeng Shi, Shuzhan Gao, Xijia Xu, Daoqiang Zhang
2019	—	`conf`	Improved Procedures for Training Primal Wasserstein GANs. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Tao Zhang, Zhongnian Li, Qi Zhu, Daoqiang Zhang
2019	—	`conf`	Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network. MICCAI (3) Jiashuang Huang, Luping Zhou, Lei Wang, Daoqiang Zhang
2019	J	`jnl`	Multi-Objective Cognitive Model: a Supervised Approach for Multi-subject fMRI Analysis. Neuroinformatics Muhammad Yousefnezhad, Daoqiang Zhang
2019	J	`jnl`	Multi-modal AD classification via self-paced latent correlation analysis. Neurocomputing Qi Zhu, Ning Yuan, Jiashuang Huang, Xiaoke Hao, Daoqiang Zhang
2019	—	`conf`	Multi-modality Low-Rank Learning Fused First-Order and Second-Order Information for Computer-Aided Diagnosis of Schizophrenia. IScIDE (2) Huijie Li, Qi Zhu, Rui Zhang, Daoqiang Zhang
2019	J	`jnl`	Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data. Medical Image Anal. Mingliang Wang, Daoqiang Zhang, Dinggang Shen, Mingxia Liu
2019	J	`jnl`	Reliability-based robust multi-atlas label fusion for brain MRI segmentation. Artif. Intell. Medicine Liang Sun, Chen Zu, Wei Shao, Junye Guang, Daoqiang Zhang, Mingxia Liu
2019	—	`conf`	Residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology Images. MLMI@MICCAI Junwei Li, Wei Shao, Zhongnian Li, Weida Li, Daoqiang Zhang
2019	A*	`conf`	SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction. AAAI Zhongnian Li, Tao Zhang, Peng Wan, Daoqiang Zhang
2019	J	`jnl`	SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction. CoRR Zhongnian Li, Tao Zhang, Daoqiang Zhang
2019	J	`jnl`	Tongue Image Segmentation via Thresholding and Gray Projection. KSII Trans. Internet Inf. Syst. Weixia Liu, Jinmei Hu, Zuoyong Li, Zuchang Zhang, Zhongli Ma, Daoqiang Zhang
2019	J	`jnl`	Tongue image segmentation via color decomposition and thresholding. Concurr. Comput. Pract. Exp. Zuoyong Li, Zhaochai Yu, Weixia Liu, Yong Xu, Daoqiang Zhang, Yong Cheng
2019	J	`jnl`	Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network. NeuroImage Liang Sun, Daoqiang Zhang, Chunfeng Lian, Li Wang, Zhengwang Wu, Wei Shao, Weili Lin, Dinggang Shen, Gang Li
2019	—	`conf`	Unsupervised Domain Adaptation for Multi-Center Autism Spectrum Disorder Identification. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI You Jiang, Zhongnian Li, Daoqiang Zhang
2018	J	`jnl`	An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-Images. IEEE ACM Trans. Comput. Biol. Bioinform. Wei Shao, Mingxia Liu, Ying-Ying Xu, Hong-Bin Shen, Daoqiang Zhang
2018	J	`jnl`	Anatomical Pattern Analysis for Decoding Visual Stimuli in Human Brains. Cogn. Comput. Muhammad Yousefnezhad, Daoqiang Zhang
2018	J	`jnl`	Context Awareness Group Buying in D2D Networks: A Coalition Formation Game-Theoretic Approach. IEEE Trans. Veh. Technol. Yuli Zhang, Yuhua Xu, Qihui Wu, Yunpeng Luo, Yitao Xu, Xueqiang Chen, Alagan Anpalagan, Daoqiang Zhang
2018	—	`conf`	Deep active learning for nucleus classification in pathology images. ISBI Wei Shao, Liang Sun, Daoqiang Zhang
2018	—	`conf`	Gradient Hyperalignment for Multi-subject fMRI Data Alignment. PRICAI (1) Tonglin Xu, Muhammad Yousefnezhad, Daoqiang Zhang
2018	J	`jnl`	Gradient Hyperalignment for multi-subject fMRI data alignment. CoRR Tonglin Xu, Muhammad Yousefnezhad, Daoqiang Zhang
2018	—	`conf`	Gradient-Based Representational Similarity Analysis with Searchlight for Analyzing fMRI Data. PRCV (3) Xiaoliang Sheng, Muhammad Yousefnezhad, Tonglin Xu, Ning Yuan, Daoqiang Zhang
2018	J	`jnl`	Gradient-based Representational Similarity Analysis with Searchlight for Analyzing fMRI Data. CoRR Xiaoliang Sheng, Muhammad Yousefnezhad, Tonglin Xu, Ning Yuan, Daoqiang Zhang
2018	A*	`conf`	Investor-Imitator: A Framework for Trading Knowledge Extraction. KDD Yi Ding, Weiqing Liu, Jiang Bian, Daoqiang Zhang, Tie-Yan Liu
2018	—	`conf`	Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification. MICCAI (1) Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Dinggang Shen, Mingxia Liu
2018	J	`jnl`	Multi-Objective Cognitive Model: a supervised approach for multi-subject fMRI analysis. CoRR Muhammad Yousefnezhad, Daoqiang Zhang
2018	J	`jnl`	Multi-Region Correlation Based Functional Brain Network for Disease Diagnosis and Cognitive States Detection. IEEE Access Qi Zhu, Jiuwen Zhu, Mingxia Liu, Xijia Xu, Daoqiang Zhang
2018	—	`conf`	Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's disease. ISBI Chen Zu, Yan Wang, Luping Zhou, Lei Wang, Daoqiang Zhang
2018	—	`conf`	Node Based Row-Filter Convolutional Neural Network for Brain Network Classification. PRICAI (1) Bingcheng Mao, Jiashuang Huang, Daoqiang Zhang
2018	—	`conf`	Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer. MICCAI (2) Wei Shao, Jun Cheng, Liang Sun, Zhi Han, Qianjin Feng, Daoqiang Zhang, Kun Huang
2018	J	`jnl`	Ordinal Pattern: A New Descriptor for Brain Connectivity Networks. IEEE Trans. Medical Imaging Daoqiang Zhang, Jiashuang Huang, Biao Jie, Junqiang Du, Liyang Tu, Mingxia Liu
2018	J	`jnl`	Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis. IEEE Trans. Image Process. Biao Jie, Mingxia Liu, Daoqiang Zhang, Dinggang Shen
2018	—	`conf`	Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net. MLMI@MICCAI Liang Sun, Daoqiang Zhang, Li Wang, Wei Shao, Zengsi Chen, Weili Lin, Dinggang Shen, Gang Li
2018	J	`jnl`	WoCE: A framework for Clustering Ensemble by Exploiting the Wisdom of Crowds Theory. IEEE Trans. Cybern. Muhammad Yousefnezhad, Sheng-Jun Huang, Daoqiang Zhang
2017	J	`jnl`	Anatomical Pattern Analysis for decoding visual stimuli in human brains. CoRR Muhammad Yousefnezhad, Daoqiang Zhang
2017	—	`conf`	Deep Hyperalignment. NIPS Muhammad Yousefnezhad, Daoqiang Zhang
2017	J	`jnl`	Deep Hyperalignment. CoRR Muhammad Yousefnezhad, Daoqiang Zhang
2017	J	`jnl`	Deep model-based feature extraction for predicting protein subcellular localizations from bio-images. Frontiers Comput. Sci. Wei Shao, Yi Ding, Hong-Bin Shen, Daoqiang Zhang
2017	—	`conf`	High-order boltzmann machine-based unsupervised feature learning for multi-atlas segmentation. ISBI Liang Sun, Wei Shao, Daoqiang Zhang
2017	J	`jnl`	Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis. Bioinform. Xiaoke Hao, Chanxiu Li, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Daoqiang Zhang
2017	J	`jnl`	Iterative sparsity score for feature selection and its extension for multimodal data. Neurocomputing Chen Zu, Linling Zhu, Daoqiang Zhang
2017	A*	`conf`	Local Discriminant Hyperalignment for Multi-Subject fMRI Data Alignment. AAAI Muhammad Yousefnezhad, Daoqiang Zhang
2017	A	`conf`	Margin Distribution Logistic Machine. SDM Yi Ding, Sheng-Jun Huang, Chen Zu, Daoqiang Zhang
2017	J	`jnl`	Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's Disease. Neuroinformatics Bo Cheng, Mingxia Liu, Dinggang Shen, Zuoyong Li, Daoqiang Zhang
2017	A	`conf`	Multi-Region Neural Representation: A novel model for decoding visual stimuli in human brains. SDM Muhammad Yousefnezhad, Daoqiang Zhang
2017	—	`conf`	Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease. MICCAI (3) Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Xijia Xu, Daoqiang Zhang
2017	J	`jnl`	Multi-modal dimensionality reduction using effective distance. Neurocomputing Dan Zhang, Qi Zhu, Daoqiang Zhang
2017	J	`jnl`	Robust multi-atlas label propagation by deep sparse representation. Pattern Recognit. Chen Zu, Zhengxia Wang, Daoqiang Zhang, Peipeng Liang, Yonghong Shi, Dinggang Shen, Guorong Wu
2017	J	`jnl`	Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease. IEEE Trans. Biomed. Eng. Biao Jie, Mingxia Liu, Jun Liu, Daoqiang Zhang, Dinggang Shen
2016	J	`jnl`	A learning-based CT prostate segmentation method via joint transductive feature selection and regression. Neurocomputing Yinghuan Shi, Yaozong Gao, Shu Liao, Daoqiang Zhang, Yang Gao, Dinggang Shen
2016	J	`jnl`	A new selection strategy for selective cluster ensemble based on Diversity and Independency. CoRR Muhammad Yousefnezhad, Ali Reihanian, Daoqiang Zhang, Behrouz Minaei-Bidgoli
2016	J	`jnl`	A new selection strategy for selective cluster ensemble based on Diversity and Independency. Eng. Appl. Artif. Intell. Muhammad Yousefnezhad, Ali Reihanian, Daoqiang Zhang, Behrouz Minaei-Bidgoli
2016	J	`jnl`	Canonical sparse cross-view correlation analysis. Neurocomputing Chen Zu, Daoqiang Zhang
2016	—	`conf`	Decoding Visual Stimuli in Human Brain by Using Anatomical Pattern Analysis on fMRI Images. BICS Muhammad Yousefnezhad, Daoqiang Zhang
2016	J	`jnl`	Decoding visual stimuli in human brain by using Anatomical Pattern Analysis on fMRI images. CoRR Muhammad Yousefnezhad, Daoqiang Zhang
2016	Misc	`conf`	Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease. PSB Xiaoke Hao, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen
2016	J	`jnl`	Feature selection with effective distance. Neurocomputing Mingxia Liu, Daoqiang Zhang
2016	J	`jnl`	Human cell structure-driven model construction for predicting protein subcellular location from biological images. Bioinform. Wei Shao, Mingxia Liu, Daoqiang Zhang
2016	J	`jnl`	Hyper-connectivity of functional networks for brain disease diagnosis. Medical Image Anal. Biao Jie, Chong-Yaw Wee, Dinggang Shen, Daoqiang Zhang
2016	—	`conf`	Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph. MLMI@MICCAI Chen Zu, Yue Gao, Brent C. Munsell, Minjeong Kim, Zi-Wen Peng, Yingying Zhu, Wei Gao, Daoqiang Zhang, Dinggang Shen, Guorong Wu
2016	J	`jnl`	Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease. Neuroinformatics Xiaoke Hao, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen
2016	J	`jnl`	Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis. IEEE Trans. Biomed. Eng. Mingxia Liu, Daoqiang Zhang, Ehsan Adeli, Dinggang Shen
2016	C	`ed.`	Intelligent Data Engineering and Automated Learning - IDEAL 2016 - 17th International Conference, Yangzhou, China, October 12-14, 2016, Proceedings IDEAL Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros
2016	J	`jnl`	Joint Binary Classifier Learning for ECOC-Based Multi-Class Classification. IEEE Trans. Pattern Anal. Mach. Intell. Mingxia Liu, Daoqiang Zhang, Songcan Chen, Hui Xue
2016	J	`jnl`	Local Discriminant Hyperalignment for multi-subject fMRI data alignment. CoRR Muhammad Yousefnezhad, Daoqiang Zhang
2016	J	`jnl`	Multi-Region Neural Representation: A novel model for decoding visual stimuli in human brains. CoRR Muhammad Yousefnezhad, Daoqiang Zhang
2016	J	`jnl`	Multi-view dimensionality reduction via canonical random correlation analysis. Frontiers Comput. Sci. Yanyan Zhang, Jianchun Zhang, Zhisong Pan, Daoqiang Zhang
2016	J	`jnl`	Network-based classification of ADHD patients using discriminative subnetwork selection and graph kernel PCA. Comput. Medical Imaging Graph. Junqiang Du, Lipeng Wang, Biao Jie, Daoqiang Zhang
2016	—	`conf`	Ordinal Patterns for Connectivity Networks in Brain Disease Diagnosis. MICCAI (1) Mingxia Liu, Junqiang Du, Biao Jie, Daoqiang Zhang
2016	J	`jnl`	Pairwise Constraint-Guided Sparse Learning for Feature Selection. IEEE Trans. Cybern. Mingxia Liu, Daoqiang Zhang
2016	J	`jnl`	Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment. IEEE Trans. Medical Imaging Mingxia Liu, Daoqiang Zhang, Dinggang Shen
2016	—	`conf`	Sub-network Based Kernels for Brain Network Classification. BCB Biao Jie, Mingxia Liu, Xi Jiang, Daoqiang Zhang
2016	J	`jnl`	Weighted Spectral Cluster Ensemble. CoRR Muhammad Yousefnezhad, Daoqiang Zhang
2016	J	`jnl`	WoCE: a framework for clustering ensemble by exploiting the wisdom of Crowds theory. CoRR Muhammad Yousefnezhad, Sheng-Jun Huang, Daoqiang Zhang
2015	—	`conf`	Discriminative Multi-task Feature Selection for Multi-modality Based AD/MCI Classification. PRNI Tingting Ye, Chen Zu, Biao Jie, Dinggang Shen, Daoqiang Zhang
2015	J	`jnl`	Domain Transfer Learning for MCI Conversion Prediction. IEEE Trans. Biomed. Eng. Bo Cheng, Mingxia Liu, Daoqiang Zhang, Brent C. Munsell, Dinggang Shen
2015	J	`jnl`	EditorialMachine Learning and Data Mining in Medical Imaging. IEEE J. Biomed. Health Informatics Dinggang Shen, Daoqiang Zhang, Alastair Young, Bahram Parvin
2015	—	`conf`	Inherent Structure-Guided Multi-view Learning for Alzheimer's Disease and Mild Cognitive Impairment Classification. MLMI Mingxia Liu, Daoqiang Zhang, Dinggang Shen
2015	J	`jnl`	Machine learning in medical imaging. Comput. Medical Imaging Graph. Dinggang Shen, Guorong Wu, Daoqiang Zhang, Kenji Suzuki, Fei Wang, Pingkun Yan
2015	—	`conf`	Multimodal Multi-label Transfer Learning for Early Diagnosis of Alzheimer's Disease. MLMI Bo Cheng, Mingxia Liu, Daoqiang Zhang
2015	—	`conf`	Relationship Induced Multi-atlas Learning for Alzheimer's Disease Diagnosis. MCV@MICCAI Mingxia Liu, Daoqiang Zhang, Ehsan Adeli-Mosabbeb, Dinggang Shen
2015	—	`conf`	Reliability Guided Forward and Backward Patch-Based Method for Multi-atlas Segmentation. Patch-MI@MICCAI Liang Sun, Chen Zu, Daoqiang Zhang
2015	J	`jnl`	Semi-Automatic Segmentation of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso. IEEE Trans. Pattern Anal. Mach. Intell. Yinghuan Shi, Yaozong Gao, Shu Liao, Daoqiang Zhang, Yang Gao, Dinggang Shen
2015	A*	`conf`	Weighted Spectral Cluster Ensemble. ICDM Muhammad Yousefnezhad, Daoqiang Zhang
2014	J	`jnl`	A generative probability model of joint label fusion for multi-atlas based brain segmentation. Medical Image Anal. Guorong Wu, Qian Wang, Daoqiang Zhang, Feiping Nie, Heng Huang, Dinggang Shen
2014	J	`jnl`	Attribute relation learning for zero-shot classification. Neurocomputing Mingxia Liu, Daoqiang Zhang, Songcan Chen
2014	—	`conf`	Brain Connectivity Hyper-Network for MCI Classification. MICCAI (2) Biao Jie, Dinggang Shen, Daoqiang Zhang
2014	—	`conf`	Combining Multiple Network Features for Mild Cognitive Impairment Classification. ICDM Workshops Lipeng Wang, Fei Fei, Biao Jie, Daoqiang Zhang
2014	—	`conf`	Discriminative subnetwork mining for multiple thresholded connectivity-networks-based classification of mild cognitive impairment. PRNI Fei Fei, Biao Jie, Lipeng Wang, Daoqiang Zhang
2014	J	`jnl`	Frequent and Discriminative Subnetwork Mining for Mild Cognitive Impairment Classification. Brain Connect. Fei Fei, Biao Jie, Daoqiang Zhang
2014	—	`conf`	Identifying Genetic Associations with MRI-derived Measures via Tree-Guided Sparse Learning. MICCAI (2) Xiaoke Hao, Jintai Yu, Daoqiang Zhang
2014	J	`jnl`	Identifying Informative Imaging Biomarkers via Tree Structured Sparse Learning for AD Diagnosis. Neuroinformatics Manhua Liu, Daoqiang Zhang, Dinggang Shen
2014	J	`jnl`	Integration of Network Topological and Connectivity Properties for Neuroimaging Classification. IEEE Trans. Biomed. Eng. Biao Jie, Daoqiang Zhang, Wei Gao, Qian Wang, Chong-Yaw Wee, Dinggang Shen
2014	—	`conf`	Label-Alignment-Based Multi-Task Feature Selection for Multimodal Classification of Brain Disease. MLINI@NIPS Chen Zu, Biao Jie, Songcan Chen, Daoqiang Zhang
2014	—	`ch.`	Machine Learning Techniques for AD/MCI Diagnosis and Prognosis. Machine Learning in Healthcare Informatics Dinggang Shen, Chong-Yaw Wee, Daoqiang Zhang, Luping Zhou, Pew-Thian Yap
2014	—	`ed.`	Machine Learning in Medical Imaging - 5th International Workshop, MLMI 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014. Proceedings MLMI Guorong Wu, Daoqiang Zhang, Luping Zhou
2014	J	`jnl`	Sparsity Score: a Novel Graph-Preserving Feature Selection Method. Int. J. Pattern Recognit. Artif. Intell. Mingxia Liu, Daoqiang Zhang
2014	—	`conf`	The New Graph Kernels on Connectivity Networks for Identification of MCI. MLINI@NIPS Biao Jie, Xi Jiang, Chen Zu, Daoqiang Zhang
2014	J	`jnl`	Two-Stage Cost-Sensitive Learning for Software Defect Prediction. IEEE Trans. Reliab. Mingxia Liu, Linsong Miao, Daoqiang Zhang
2013	J	`jnl`	A New Locality-Preserving Canonical Correlation Analysis Algorithm for Multi-View Dimensionality Reduction. Neural Process. Lett. Fengshan Wang, Daoqiang Zhang
2013	—	`conf`	Ensemble Universum SVM Learning for Multimodal Classification of Alzheimer's Disease. MLMI Xiaoke Hao, Daoqiang Zhang
2013	—	`conf`	Integrating Multiple Network Properties for MCI Identification. MLMI Biao Jie, Daoqiang Zhang, Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen
2013	J	`jnl`	Learning mid-perpendicular hyperplane similarity from cannot-link constraints. Neurocomputing Shan Gao, Chen Zu, Daoqiang Zhang
2013	—	`ed.`	Machine Learning in Medical Imaging - 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings MLMI Guorong Wu, Daoqiang Zhang, Dinggang Shen, Pingkun Yan, Kenji Suzuki, Fei Wang
2013	—	`conf`	Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer's Disease. MICCAI (1) Biao Jie, Daoqiang Zhang, Bo Cheng, Dinggang Shen
2013	—	`conf`	Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion. MICCAI (3) Guorong Wu, Qian Wang, Shu Liao, Daoqiang Zhang, Feiping Nie, Dinggang Shen
2013	A*	`conf`	Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso. CVPR Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen
2013	J	`jnl`	Semi-Supervised Multimodal Relevance Vector Regression Improves Cognitive Performance Estimation from Imaging and Biological Biomarkers. Neuroinformatics Bo Cheng, Daoqiang Zhang, Songcan Chen, Daniel Kaufer, Dinggang Shen
2013	—	`conf`	Sparse Multimodal Manifold-Regularized Transfer Learning for MCI Conversion Prediction. MLMI Bo Cheng, Daoqiang Zhang, Biao Jie, Dinggang Shen
2012	—	`conf`	Constrained Sparse Functional Connectivity Networks for MCI Classification. MICCAI (2) Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Lihong Wang, Dinggang Shen
2012	B	`conf`	Cost-sensitive feature selection with application in software defect prediction. ICPR Linsong Miao, Mingxia Liu, Daoqiang Zhang
2012	—	`conf`	Domain Transfer Learning for MCI Conversion Prediction. MICCAI (1) Bo Cheng, Daoqiang Zhang, Dinggang Shen
2012	J	`jnl`	Ensemble sparse classification of Alzheimer's disease. NeuroImage Manhua Liu, Daoqiang Zhang, Dinggang Shen
2012	J	`jnl`	Erratum to multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease [Neuroimage 59/2 (2012) 895-907]. NeuroImage Daoqiang Zhang, Dinggang Shen
2012	—	`conf`	Group Sparsity Constrained Automatic Brain Label Propagation. MLMI Shu Liao, Daoqiang Zhang, Pew-Thian Yap, Guorong Wu, Dinggang Shen
2012	—	`conf`	Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer's Disease. MLMI Manhua Liu, Daoqiang Zhang, Pew-Thian Yap, Dinggang Shen
2012	J	`jnl`	Identification of MCI individuals using structural and functional connectivity networks. NeuroImage Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Kevin Denny, Jeffrey N. Browndyke, Guy G. Potter, Kathleen Welsh-Bohmer, Lihong Wang, Dinggang Shen
2012	—	`conf`	Iterative Laplacian Score for Feature Selection. CCPR Linling Zhu, Linsong Miao, Daoqiang Zhang
2012	—	`conf`	Learning Attribute Relation in Attribute-Based Zero-Shot Classification. IScIDE Mingxia Liu, Songcan Chen, Daoqiang Zhang
2012	J	`jnl`	Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease. NeuroImage Daoqiang Zhang, Dinggang Shen
2012	—	`conf`	Semi-Supervised Sparse Label Fusion for Multi-atlas Based Segmentation. CCPR Qimiao Guo, Daoqiang Zhang
2012	—	`conf`	Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation. MBIA Daoqiang Zhang, Qimiao Guo, Guorong Wu, Dinggang Shen
2012	—	`conf`	Sparsity Preserving Canonical Correlation Analysis. CCPR Chen Zu, Daoqiang Zhang
2012	B	`conf`	Sparsity Score: A new filter feature selection method based on graph. ICPR Mingxia Liu, Dan Sun, Daoqiang Zhang
2012	—	`conf`	Structural Feature Selection for Connectivity Network-Based MCI Diagnosis. MBIA Biao Jie, Daoqiang Zhang, Chong-Yaw Wee, Dinggang Shen
2012	—	`conf`	Temporally-Constrained Group Sparse Learning for Longitudinal Data Analysis. MICCAI (3) Daoqiang Zhang, Jun Liu, Dinggang Shen
2012	—	`conf`	Transductive Prostate Segmentation for CT Image Guided Radiotherapy. MLMI Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen
2012	—	`conf`	Tree-Guided Sparse Coding for Brain Disease Classification. MICCAI (3) Manhua Liu, Daoqiang Zhang, Pew-Thian Yap, Dinggang Shen
2011	J	`jnl`	A novel ensemble construction method for multi-view data using random cross-view correlation between within-class examples. Pattern Recognit. Jianchun Zhang, Daoqiang Zhang
2011	—	`conf`	Confidence-Guided Sequential Label Fusion for Multi-atlas Based Segmentation. MICCAI (3) Daoqiang Zhang, Guorong Wu, Hongjun Jia, Dinggang Shen
2011	—	`conf`	Identification of Individuals with MCI via Multimodality Connectivity Networks. MICCAI (2) Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Kevin Denny, Lihong Wang, Dinggang Shen
2011	—	`conf`	Multi-Modal Multi-Task Learning for Joint Prediction of Clinical Scores in Alzheimer's Disease. MBIA Daoqiang Zhang, Dinggang Shen
2011	—	`conf`	MultiCost: Multi-stage Cost-sensitive Classification of Alzheimer's Disease. MLMI Daoqiang Zhang, Dinggang Shen
2011	J	`jnl`	Multimodal classification of Alzheimer's disease and mild cognitive impairment. NeuroImage Daoqiang Zhang, Yaping Wang, Luping Zhou, Hong Yuan, Dinggang Shen
2011	—	`conf`	Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression. MLMI Bo Cheng, Daoqiang Zhang, Songcan Chen, Dinggang Shen
2011	—	`conf`	Semi-supervised multimodal classification of alzheimer's disease. ISBI Daoqiang Zhang, Dinggang Shen
2011	J	`jnl`	Semisupervised Dimensionality Reduction With Pairwise Constraints for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. Shiguo Chen, Daoqiang Zhang
2010	J	`jnl`	A New Canonical Correlation Analysis Algorithm with Local Discrimination. Neural Process. Lett. Yan Peng, Daoqiang Zhang, Jianchun Zhang
2010	J	`jnl`	A multiobjective simultaneous learning framework for clustering and classification. IEEE Trans. Neural Networks Weiling Cai, Songcan Chen, Daoqiang Zhang
2010	J	`jnl`	Bagging Constraint Score for feature selection with pairwise constraints. Pattern Recognit. Dan Sun, Daoqiang Zhang
2010	Misc	`conf`	Canonical random correlation analysis. SAC Jianchun Zhang, Daoqiang Zhang
2010	J	`jnl`	Locality sensitive C-means clustering algorithms. Neurocomputing Pengfei Huang, Daoqiang Zhang
2010	J	`jnl`	Semi-supervised clustering with metric learning: An adaptive kernel method. Pattern Recognit. Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zhang
2010	J	`jnl`	Semisupervised Kernel Matrix Learning by Kernel Propagation. IEEE Trans. Neural Networks Enliang Hu, Songcan Chen, Daoqiang Zhang, Xuesong Yin
2009	J	`jnl`	A New Discriminant Principal Component Analysis Method with Partial Supervision. Neural Process. Lett. Dan Sun, Daoqiang Zhang
2009	J	`jnl`	A simultaneous learning framework for clustering and classification. Pattern Recognit. Weiling Cai, Songcan Chen, Daoqiang Zhang
2009	A*	`conf`	An Efficient Nonnegative Matrix Factorization Approach in Flexible Kernel Space. IJCAI Daoqiang Zhang, Wanquan Liu
2009	J	`jnl`	marginFace: A novel face recognition method by average neighborhood margin maximization. Pattern Recognit. Fei Wang, Xin Wang, Daoqiang Zhang, Changshui Zhang, Tao Li
2008	A*	`conf`	Constraint Projections for Ensemble Learning. AAAI Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Qiang Yang
2008	J	`jnl`	Constraint Score: A new filter method for feature selection with pairwise constraints. Pattern Recognit. Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
2008	J	`jnl`	Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector. IEEE Trans. Neural Networks Zhe Wang, Songcan Chen, Jun Liu, Daoqiang Zhang
2007	J	`jnl`	Comments on "Efficient and Robust Feature Extraction by Maximum Margin Criterion". IEEE Trans. Neural Networks Jun Liu, Songcan Chen, Xiaoyang Tan, Daoqiang Zhang
2007	J	`jnl`	Efficient Pseudoinverse Linear Discriminant Analysis and its Nonlinear Form for Face Recognition. Int. J. Pattern Recognit. Artif. Intell. Jun Liu, Songcan Chen, Xiaoyang Tan, Daoqiang Zhang
2007	J	`jnl`	Entropy-Inspired Competitive Clustering Algorithms. Int. J. Softw. Informatics Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
2007	J	`jnl`	Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation. Pattern Recognit. Weiling Cai, Songcan Chen, Daoqiang Zhang
2007	J	`jnl`	Robust fuzzy relational classifier incorporating the soft class labels. Pattern Recognit. Lett. Weiling Cai, Songcan Chen, Daoqiang Zhang
2007	A	`conf`	Semi-Supervised Dimensionality Reduction. SDM Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
2007	—	`conf`	Two-Dimensional Bayesian Subspace Analysis for Face Recognition. ISNN (2) Daoqiang Zhang
2006	A*	`conf`	Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels. ICDM Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
2006	J	`jnl`	Diagonal principal component analysis for face recognition. Pattern Recognit. Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
2006	J	`jnl`	Learning the kernel parameters in kernel minimum distance classifier. Pattern Recognit. Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
2006	B	`conf`	Non-negative Matrix Factorization on Kernels. PRICAI Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
2006	—	`conf`	Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns. SSPR/SPR Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
2005	J	`jnl`	(2D) Neurocomputing Daoqiang Zhang, Zhi-Hua Zhou
2005	J	`jnl`	A new face recognition method based on SVD perturbation for single example image per person. Appl. Math. Comput. Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
2005	J	`jnl`	Fast image compression using matrix K-L transform. Neurocomputing Daoqiang Zhang, Songcan Chen
2005	J	`jnl`	Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA. Pattern Recognit. Lett. Songcan Chen, Yulian Zhu, Daoqiang Zhang, Jing-Yu Yang
2005	J	`jnl`	Improving the Robustness of 'Online Agglomerative Clustering Method' Based on Kernel-Induce Distance Measures. Neural Process. Lett. Daoqiang Zhang, Songcan Chen, Keren Tan
2005	—	`conf`	Representing Image Matrices: Eigenimages Versus Eigenvectors. ISNN (2) Daoqiang Zhang, Songcan Chen, Jun Liu
2005	—	`conf`	Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition. AMFG Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
2004	J	`jnl`	A comment on "Alternative c-means clustering algorithms". Pattern Recognit. Daoqiang Zhang, Songcan Chen
2004	J	`jnl`	A novel kernelized fuzzy C-means algorithm with application in medical image segmentation. Artif. Intell. Medicine Daoqiang Zhang, Songcan Chen
2004	J	`jnl`	Enhanced (PC) Pattern Recognit. Lett. Songcan Chen, Daoqiang Zhang, Zhi-Hua Zhou
2004	—	`conf`	Fuzzy-Kernel Learning Vector Quantization. ISNN (1) Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
2004	—	`conf`	Robust Image Denoising Using Kernel-Induced Measures. ICPR (4) Keren Tan, Songcan Chen, Daoqiang Zhang
2004	J	`jnl`	Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure. IEEE Trans. Syst. Man Cybern. Part B Songcan Chen, Daoqiang Zhang
2004	B	`conf`	Semi-supervised Kernel-Based Fuzzy C-Means. ICONIP Daoqiang Zhang, Keren Tan, Songcan Chen
2003	J	`jnl`	Clustering Incomplete Data Using Kernel-Based Fuzzy C-means Algorithm. Neural Process. Lett. Daoqiang Zhang, Songcan Chen