Daoqiang Zhang

Daoqiang Zhang, Dinggang Shen, Kenji Suzuki, 2015, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

Semi-Supervised Multimodal Relevance Vector Regression Improves Cognitive Performance Estimation from Imaging and Biological Biomarkers

Daoqiang Zhang, Dinggang Shen, Bo Cheng, 2013, Neuroinformatics.

Depth-Adaptive Discriminant Projection with Optimal Transport

Daoqiang Zhang, Peng Wan, 2020, PRCV.

Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network

Daoqiang Zhang, Luping Zhou, Jiashuang Huang, 2019, MICCAI.

Tongue Image Segmentation via Thresholding and Gray Projection

Daoqiang Zhang, Zuoyong Li, Weixia Liu, 2019, KSII Trans. Internet Inf. Syst..

Efficient Pseudoinverse Linear Discriminant Analysis and its Nonlinear Form for Face Recognition

Daoqiang Zhang, Xiaoyang Tan, Jun Liu, 2007, Int. J. Pattern Recognit. Artif. Intell..

Detecting differential transcript usage across multiple conditions for RNA-seq data based on the smoothed LDA model

Daoqiang Zhang, Xuejun Liu, Jing Li, 2021, Frontiers Comput. Sci..

Frequent and Discriminative Subnetwork Mining for Mild Cognitive Impairment Classification

Daoqiang Zhang, Biao Jie, Fei Fei, 2014, Brain Connect..

Human Brain and Artificial Intelligence: First International Workshop, HBAI 2019, Held in Conjunction with IJCAI 2019, Macao, China, August 12, 2019, Revised Selected Papers

Daoqiang Zhang, Krishna M. Sivalingam, Alfredo Cuzzocrea, 2019, HBAI@IJCAI.

Transport-Based Joint Distribution Alignment for Multi-site Autism Spectrum Disorder Diagnosis Using Resting-State fMRI

Daoqiang Zhang, Peng Wan, Junyi Zhang, 2020, MICCAI.

Enhanced (PC)2 A for face recognition with one training image per person

Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen, 2004, Pattern Recognit. Lett..

Hybrid neural network and C4.5 for misuse detection

Daoqiang Zhang, Zhisong Pan, Songcan Chen, 2003, Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693).

Diagnosis-Guided Multi-modal Feature Selection for Prognosis Prediction of Lung Squamous Cell Carcinoma

Daoqiang Zhang, Zhi Han, Jun Cheng, 2019, MICCAI.

Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis

Daoqiang Zhang, Dinggang Shen, Ehsan Adeli, 2016, IEEE Transactions on Biomedical Engineering.

Deep active learning for nucleus classification in pathology images

Daoqiang Zhang, Liang Sun, Wei Shao, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

The New Graph Kernels on Connectivity Networks for Identification of MCI

Daoqiang Zhang, Chen Zu, Biao Jie, 2014, MLINI@NIPS.

Multi Type Variable Optimization Method of Transmission Tower Truss Structure Based on Ant Colony Algorithm

Daoqiang Zhang, Kai Qin, Yongfen Wu, 2016 .

Inherent Structure-Guided Multi-view Learning for Alzheimer's Disease and Mild Cognitive Impairment Classification

Daoqiang Zhang, Dinggang Shen, Mingxia Liu, 2015, MLMI.

Bagging Constraint Score for feature selection with pairwise constraints

Daoqiang Zhang, Dan Sun, Daoqiang Zhang, 2010, Pattern Recognit..

Fuzzy-Kernel Learning Vector Quantization

Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen, 2004, ISNN.

Locality sensitive C-means clustering algorithms

Daoqiang Zhang, Pengfei Huang, Daoqiang Zhang, 2010, Neurocomputing.

Reliability Guided Forward and Backward Patch-Based Method for Multi-atlas Segmentation

Daoqiang Zhang, Chen Zu, Liang Sun, 2015, Patch-MI@MICCAI.

Unified Brain Network with Functional and Structural Data

Daoqiang Zhang, Jing Yang, Rui Zhang, 2020, MICCAI.

Decoding Visual Stimuli in Human Brain by Using Anatomical Pattern Analysis on fMRI Images pdf

Daoqiang Zhang, Muhammad Yousefnezhad, 2016, BICS.

(2D)2PCA: Two-directional two-dimensional PCA for efficient face representation and recognition

Daoqiang Zhang, Zhi-Hua Zhou, Daoqiang Zhang, 2005, Neurocomputing.

Efficient and robust feature extraction by maximum margin criterion

Daoqiang Zhang, Xiaoyang Tan, Songcan Chen, 2003, IEEE Transactions on Neural Networks.

Hierarchical Structured Sparse Learning for Schizophrenia Identification

Daoqiang Zhang, Li Shen, Mingliang Wang, 2019, Neuroinformatics.

Latent correlation embedded discriminative multi-modal data fusion

Daoqiang Zhang, Zheng Zhang, Qi Zhu, 2020, Signal Process..

Semi-Supervised Dimensionality Reduction ∗

Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen, 2007 .

Hybrid Functional Brain Network With First-Order and Second-Order Information for Computer-Aided Diagnosis of Schizophrenia

Daoqiang Zhang, Donghai Guan, Jiashuang Huang, 2019, Front. Neurosci..

A Graph-Based Decoding Model for Incomplete fMRI Functional Alignment pdf

Daoqiang Zhang, Fang Chen, Weida Li, 2019 .

Tree-Guided Sparse Coding for Brain Disease Classification

Daoqiang Zhang, Dinggang Shen, Manhua Liu, 2012, MICCAI.

Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment

Daoqiang Zhang, Dinggang Shen, Mingxia Liu, 2016, IEEE Transactions on Medical Imaging.

Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation

Daoqiang Zhang, Dinggang Shen, Guorong Wu, 2012, MBIA.

Semi-supervised Kernel-Based Fuzzy C-Means

Daoqiang Zhang, Songcan Chen, Keren Tan, 2004, ICONIP.

Hyper-connectivity of functional networks for brain disease diagnosis

Daoqiang Zhang, Dinggang Shen, Chong-Yaw Wee, 2016, Medical Image Anal..

Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition

Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen, 2005, AMFG.

MultiCost: Multi-stage Cost-sensitive Classification of Alzheimer's Disease

Daoqiang Zhang, Dinggang Shen, Daoqiang Zhang, 2011, MLMI.

Semi-Automatic Segmentation of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso

Yinghuan Shi, Shu Liao, Yaozong Gao, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease

Daoqiang Zhang, Shannon L. Risacher, Andrew J. Saykin, 2016, PSB.

ASMFS: Adaptive-Similarity-based Multi-modality Feature Selection for Classification of Alzheimer's Disease pdf

Daoqiang Zhang, Yan Wang, Chen Zu, 2020, Pattern Recognit..

Robust fuzzy relational classifier incorporating the soft class labels

Daoqiang Zhang, Songcan Chen, Weiling Cai, 2007, Pattern Recognit. Lett..

Improving the Robustness of ‘Online Agglomerative Clustering Method’ Based on Kernel-Induce Distance Measures

Daoqiang Zhang, Songcan Chen, Keren Tan, 2005, Neural Processing Letters.

Semisupervised Kernel Matrix Learning by Kernel Propagation

Daoqiang Zhang, Songcan Chen, Xuesong Yin, 2010, IEEE Transactions on Neural Networks.

Identifying Informative Imaging Biomarkers via Tree Structured Sparse Learning for AD Diagnosis

Daoqiang Zhang, Dinggang Shen, Manhua Liu, 2013, Neuroinformatics.

Constraint Projections for Ensemble Learning

Daoqiang Zhang, Qiang Yang, Zhi-Hua Zhou, 2008, AAAI.

Multimodal manifold-regularized transfer learning for MCI conversion prediction

Daoqiang Zhang, Dinggang Shen, Bo Cheng, 2013, Brain Imaging and Behavior.

Fast image compression using matrix K-L transform

Daoqiang Zhang, Songcan Chen, 2005, Neurocomputing.

Representing Image Matrices: Eigenimages Versus Eigenvectors

Daoqiang Zhang, Jun Liu, Songcan Chen, 2005, ISNN.

Group Sparsity Constrained Automatic Brain Label Propagation

Shu Liao, Daoqiang Zhang, Dinggang Shen, 2012, MLMI.

Decoding visual stimuli in human brain by using Anatomical Pattern Analysis on fMRI images

Daoqiang Zhang, Muhammad Yousefnezhad, 2016 .

Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph

Daoqiang Zhang, Dinggang Shen, Yue Gao, 2016, MLMI@MICCAI.

Combining Multiple Network Features for Mild Cognitive Impairment Classification

Daoqiang Zhang, Biao Jie, Lipeng Wang, 2014, 2014 IEEE International Conference on Data Mining Workshop.

Investor-Imitator: A Framework for Trading Knowledge Extraction

Daoqiang Zhang, Tie-Yan Liu, Yi Ding, 2018, KDD.

Ordinal Patterns for Connectivity Networks in Brain Disease Diagnosis

Daoqiang Zhang, Mingxia Liu, Biao Jie, 2016, MICCAI.

Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector

Daoqiang Zhang, Jun Liu, Songcan Chen, 2008, IEEE Transactions on Neural Networks.

Two-Stage Cost-Sensitive Learning for Software Defect Prediction

Daoqiang Zhang, Mingxia Liu, Linsong Miao, 2014, IEEE Transactions on Reliability.

A novel ensemble construction method for multi-view data using random cross-view correlation between within-class examples

Daoqiang Zhang, Jianchun Zhang, Daoqiang Zhang, 2011, Pattern Recognit..

View‐centralized multi‐atlas classification for Alzheimer's disease diagnosis

Daoqiang Zhang, Dinggang Shen, Mingxia Liu, 2015, Human brain mapping.

Node Based Row-Filter Convolutional Neural Network for Brain Network Classification

Daoqiang Zhang, Jiashuang Huang, Bingcheng Mao, 2018, PRICAI.

Two-Dimensional Bayesian Subspace Analysis for Face Recognition

Daoqiang Zhang, 2007, ISNN.

Identification of MCI individuals using structural and functional connectivity networks

Daoqiang Zhang, Dinggang Shen, Pew-Thian Yap, 2012, NeuroImage.

Identification of Individuals with MCI via Multimodality Connectivity Networks

Daoqiang Zhang, Dinggang Shen, Lihong Wang, 2011, MICCAI.

Multi-Region Correlation Based Functional Brain Network for Disease Diagnosis and Cognitive States Detection

Daoqiang Zhang, Mingxia Liu, Jiuwen Zhu, 2018, IEEE Access.

WoCE: A framework for Clustering Ensemble by Exploiting the Wisdom of Crowds Theory

Daoqiang Zhang, Muhammad Yousefnezhad, Sheng-Jun Huang, 2016, IEEE Transactions on Cybernetics.

Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning

Daoqiang Zhang, Li Shen, Xiaohui Yao, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Entropy-Inspired Competitive Clustering Algorithms

Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen, 2007, Int. J. Softw. Informatics.

Deep Rényi entropy graph kernel

Daoqiang Zhang, Lu Bai, Xiaoyi Jiang, 2021, Pattern Recognit..

Gradient-based Representational Similarity Analysis with Searchlight for Analyzing fMRI Data pdf

Daoqiang Zhang, Muhammad Yousefnezhad, Ning Yuan, 2018, PRCV.

Semi-supervised clustering with metric learning: An adaptive kernel method

Daoqiang Zhang, Songcan Chen, Xuesong Yin, 2010, Pattern Recognit..

Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification

Daoqiang Zhang, Biao Jie, Mingxia Liu, 2020, MLMI@MICCAI.

Semisupervised Dimensionality Reduction With Pairwise Constraints for Hyperspectral Image Classification

Daoqiang Zhang, Shiguo Chen, Daoqiang Zhang, 2011, IEEE Geoscience and Remote Sensing Letters.

Deep Hyperalignment

Daoqiang Zhang, Muhammad Yousefnezhad, Daoqiang Zhang, 2017, NIPS.