Xiaofeng Zhu

发表

Sparse hashing for fast multimedia search

Zi Huang, Xiaofeng Zhu, Hong Cheng, 2013, TOIS.

Multi-view Classification for Identification of Alzheimer's Disease

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2015, MLMI.

Learning k for kNN Classification

Xuelong Li, Xiaofeng Zhu, Shichao Zhang, 2017, ACM Trans. Intell. Syst. Technol..

Structured sparsity regularized multiple kernel learning for Alzheimer's disease diagnosis

Dinggang Shen, Xiaofeng Zhu, Ye Wang, 2019, Pattern Recognit..

One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace

Yang Yang, Xiaofeng Zhu, Shichao Zhang, 2017, AAAI.

POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2009, Expert Syst. Appl..

Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan

Yaozong Gao, Xiaofeng Zhu, Yanbo Chen, 2020, Medical Image Analysis.

UQMSG Experiments for TRECVID 2011

Zi Huang, Xiaofeng Zhu, Heng Tao Shen, 2011, TRECVID.

Multi-view multi-sparsity kernel reconstruction for multi-class image classification

Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, 2015, Neurocomputing.

Supervised Feature Selection by Robust Sparse Reduced-Rank Regression

Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, 2016, ADMA.

A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity

Xiaofeng Zhu, Guorong Wu, Minjeong Kim, 2017, IPMI.

Feature Selection by Joint Graph Sparse Coding

Xindong Wu, Xiaofeng Zhu, Shichao Zhang, 2013, SDM.

Dinggang Shen, Xiaofeng Zhu, Han Zhang, 2019, Pattern Recognit..

Accurate and High Throughput Cell Segmentation Method for Mouse Brain Nuclei Using Cascaded Convolutional Neural Network

Mike Conway, Xiaofeng Zhu, Qian Wang, 2017, Patch-MI@MICCAI.

Study on a bound of broadcasting time for the publishing network

Xiaofeng Zhu, Dan Wang, Lijun Yang, 2014 .

Missing data imputation by utilizing information within incomplete instances

Xiaofeng Zhu, Shichao Zhang, Zhi Jin, 2011, J. Syst. Softw..

Global and local clustering with kNN and local PCA

Lin Wu, Xiaofeng Zhu, Tao Tong, 2018, Multimedia Tools and Applications.

Suggestion Mining from Online Reviews usingRandom Multimodel Deep Learning

Xiaofeng Zhu, Feng Liu, Dingding Wang, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

Joint Identification of Network Hub Nodes by Multivariate Graph Inference

Martin Styner, Feiping Nie, Xiaofeng Zhu, 2019, MICCAI.

Research on the Statistical Method Based on Neural Network

Xiaofeng Zhu, Tiantian Feng, Xi Tian, 2015 .

Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints

Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, 2016, ADMA.

Equipment Information Management System Based on Web Services

Xiaofeng Zhu, Wu Qin, Gangguo Li, 2015 .

Corrections to "Exploiting Web Images for Semantic Video Indexing Via Robust Sample-Specific Loss"

Yue Gao, Yang Yang, Xiaofeng Zhu, 2015, IEEE Trans. Multim..

Video-to-Shot Tag Propagation by Graph Sparse Group Lasso

Xiaofeng Zhu, Jiangtao Cui, Heng Tao Shen, 2013, IEEE Transactions on Multimedia.

Optimized Parameters for Missing Data Imputation

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2006, PRICAI.

Dynamical Cournot game with bounded rationality and time delay for marginal profit

Xiaofeng Zhu, Zhanwen Ding, Shumin Jiang, 2014, Math. Comput. Simul..

Deep convolutional neural network for accurate segmentation and quantification of white matter hyperintensities

Xiaofeng Zhu, Jianxin Wang, Fang-Xiang Wu, 2020, Neurocomputing.

Low-Rank Sparse Subspace for Spectral Clustering

Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, 2019, IEEE Transactions on Knowledge and Data Engineering.

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Discriminative Dimensionality Reduction for Patch-Based Label Fusion

Oualid M. Benkarim, Dinggang Shen, Xiaofeng Zhu, 2015, MLMMI@ICML.

Robust Multi-view Learning via Half-quadratic Minimization

Xiaofeng Zhu, Wei Zheng, Yonghua Zhu, 2018, IJCAI.

Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine

Dinggang Shen, Xiaofeng Zhu, Guorong Wu, 2016, MICCAI.

Kernel-Based Multi-Imputation for Missing Data

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2006, AMT.

Low-rank unsupervised graph feature selection via feature self-representation

Xiaofeng Zhu, Shichao Zhang, Wei He, 2017, Multimedia Tools and Applications.

Finding dense and connected subgraphs in dual networks

Xiaofeng Zhu, Ruoming Jin, Xiang Zhang, 2015, 2015 IEEE 31st International Conference on Data Engineering.

Self-taught dimensionality reduction on the high-dimensional small-sized data

Zi Huang, Changsheng Xu, Yang Yang, 2013, Pattern Recognit..

GBKII: An Imputation Method for Missing Values

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2007, PAKDD.

Editorial: Deep Mining Big Social Data

Xiaofeng Zhu, Jilian Zhang, Gerard Sanroma, 2018, World Wide Web.

Direct aperture optimization using an inverse form of back‐projection

Xiaofeng Zhu, Jun Lian, Gregg Tracton, 2014, Journal of applied clinical medical physics.

Structured Sparse Kernel Learning for Imaging Genetics Based Alzheimer's Disease Diagnosis

Dinggang Shen, Xiaofeng Zhu, Yan Jin, 2016, MICCAI.

Artificial Intelligence in Radiotherapy Treatment Planning: Present and Future

Xiaofeng Zhu, Chunhao Wang, Julian C. Hong, 2019, Technology in cancer research & treatment.

Group sparse reduced rank regression for neuroimaging genetic study

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2018, World Wide Web.

Linear cross-modal hashing for efficient multimedia search

Zi Huang, Xin Zhao, Xiaofeng Zhu, 2013, ACM Multimedia.

Any-Cost Discovery: Learning Optimal Classification Rules

Chengqi Zhang, Xiaofeng Zhu, Ailing Ni, 2005, Australian Conference on Artificial Intelligence.

Sparse Discriminative Feature Selection for Multi-class Alzheimer's Disease Classification

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2014, MLMI.

Analysis of losses of permanent magnet synchronous motor with PWM supply

Renyuan Tang, Xiaofeng Zhu, Wenming Tong, 2014, 2014 17th International Conference on Electrical Machines and Systems (ICEMS).

Unsupervised feature selection for visual classification via feature-representation property

Xiaofeng Zhu, Shichao Zhang, Wei He, 2017, Neurocomputing.

An iterative approach to detect pleiotropy and perform Mendelian Randomization analysis using GWAS summary statistics

Xiaofeng Zhu, Rong Xu, Tao Wang, 2020, Bioinform..

Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis

Xiaofeng Zhu, Mingxia Liu, Yu Zhang, 2017, MLMI@MICCAI.

Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data

Dinggang Shen, Yu Zhang, Xiaofeng Zhu, 2017, MICCAI.

Pattern discovery from multi-source data

Xiaofeng Zhu, Jilian Zhang, Jie Shao, 2018, Pattern Recognit. Lett..

Exploiting Web Images for Semantic Video Indexing Via Robust Sample-Specific Loss

Yue Gao, Yang Yang, Xiaofeng Zhu, 2014, IEEE Transactions on Multimedia.

Alphabet Recognition Based on Scaled Conjugate Gradient BP Algorithm

Xiaofeng Zhu, Feiyan Zhou, 2013 .

A Sparse Embedding and Least Variance Encoding Approach to Hashing

Zi Huang, Lei Zhang, Xiaofeng Zhu, 2014, IEEE Transactions on Image Processing.

A Robust Reduced Rank Graph Regression Method for Neuroimaging Genetic Analysis

Xiaofeng Zhu, Yong Fan, Weihong Zhang, 2018, Neuroinformatics.

Learning high-dimensional multimedia data

Rongrong Ji, Xiaofeng Zhu, Zhi Jin, 2016, Multimedia Systems.

Missing Data Analysis: A Kernel-Based Multi-Imputation Approach

Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, 2009, Trans. Comput. Sci..

A Fast Markov blanket discovery algorithm

Xiaofeng Zhu, Youlong Yang, Xiaofeng Zhu, 2014, 2014 IEEE 5th International Conference on Software Engineering and Service Science.

A Novel Multi-relation Regularization Method for Regression and Classification in AD Diagnosis

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2014, MICCAI.

Frosting Weights for Better Continual Training

Xiaofeng Zhu, Feng Liu, Goce Trajcevski, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

Approaching Multi-dimensional Classification by Using Bayesian Network Chain Classifiers

Xiaofeng Zhu, Ping Zhang, Youlong Yang, 2014, 2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics.

Block-Row Sparse Multiview Multilabel Learning for Image Classification

Xuelong Li, Xiaofeng Zhu, Shichao Zhang, 2016, IEEE Transactions on Cybernetics.

Editorial learning for multimodal data

Xiaofeng Zhu, Xudong Luo, Chen Xu, 2017, Neurocomputing.

Graph PCA Hashing for Similarity Search

Xuelong Li, Xiaofeng Zhu, Zongben Xu, 2017, IEEE Transactions on Multimedia.

Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2016, IEEE Transactions on Biomedical Engineering.

Graph self-representation method for unsupervised feature selection

Xiaofeng Zhu, Shichao Zhang, Jingkuan Song, 2017, Neurocomputing.

One-Step Multi-View Spectral Clustering

Xiaofeng Zhu, Wei He, Rongyao Hu, 2019, IEEE Transactions on Knowledge and Data Engineering.

Editorial Note: Data Preprocessing for Big Multimedia Data

Xiaofeng Zhu, Xiaofeng Zhu, 2018, Multimedia tools and applications.

Spectral rotation for deep one-step clustering

Wei Zheng, Xiaofeng Zhu, Yonghua Zhu, 2020, Pattern Recognit..

A novel relational regularization feature selection method for joint regression and classification in AD diagnosis

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2017, Medical Image Anal..

Unsupervised Terminological Ontology Learning Based on Hierarchical Topic Modeling

Diego Klabjan, Xiaofeng Zhu, Patrick N. Bless, 2017, 2017 IEEE International Conference on Information Reuse and Integration (IRI).

Low-rank dimensionality reduction for multi-modality neurodegenerative disease identification

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2018, World Wide Web.

Haplotype Block Definition and Its Application

Xiaofeng Zhu, Shuanglin Zhang, Richard S. Cooper, 2003, Pacific Symposium on Biocomputing.

A Strategy for Attributes Selection in Cost-Sensitive Decision Trees Induction

Shichao Zhang, Xiaofeng Zhu, Li Liu, 2008, 2008 IEEE 8th International Conference on Computer and Information Technology Workshops.

Effective feature learning and fusion of multimodality data using stage‐wise deep neural network for dementia diagnosis

Dinggang Shen, Xiaofeng Zhu, Kim-Han Thung, 2018, Human brain mapping.

Unsupervised Feature Selection Algorithm via Local Structure Learning and Kernel Function

Shichao Zhang, Xiaofeng Zhu, Shanwen Zhang, 2018 .

Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia Diagnosis

Dinggang Shen, Xiaofeng Zhu, Kim-Han Thung, 2017, MLMI@MICCAI.

Learning for medical imaging

Rongrong Ji, Xiaofeng Zhu, Feng Lu, 2016, Neurocomputing.

Markov Chain model for the structure of the traditional publishing industry in China

Xiaofeng Zhu, Eryan Zhang, 2012 .

Unsupervised feature selection via local structure learning and sparse learning

Xiaofeng Zhu, Cong Lei, Xiaofeng Zhu, 2017, Multimedia Tools and Applications.

Deep understanding of big multimedia data

Xiaofeng Zhu, Ruili Wang, Jian Weng, 2020, Neural computing & applications (Print).

Initialization-similarity clustering algorithm

Xiaofeng Zhu, Tong Liu, Jingting Zhu, 2019, Multimedia Tools and Applications.

Characterizing dynamic functional connectivity using data-driven approaches and its application in the diagnosis of alzheimer’s disease

Xiaofeng Zhu, Guorong Wu, Paul J. Laurienti, 2019, Connectomics.

Web and Big Data: APWeb-WAIM 2019 International Workshops, KGMA and DSEA, Chengdu, China, August 1–3, 2019, Revised Selected Papers

Xiaofeng Zhu, Jingkuan Song, Xiaofeng Zhu, 2019, APWeb/WAIM Workshops.

Multi-View Visual Classification via a Mixed-Norm Regularizer

Xindong Wu, Xiaofeng Zhu, Zi Huang, 2013, PAKDD.

Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, 2013, ADMA.

Low-Rank Feature Reduction and Sample Selection for Multi-output Regression

Xiaofeng Zhu, Shichao Zhang, Lifeng Yang, 2016, ADMA.

Fast Neuroimaging-Based Retrieval for Alzheimer's Disease Analysis

Dinggang Shen, Xiaofeng Zhu, Jun Zhang, 2016, MLMI@MICCAI.

Mixed-Norm Regression for Visual Classification

Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, 2013, ADMA.

Constructing Multi-scale Connectome Atlas by Learning Graph Laplacian of Common Network

Xiaofeng Zhu, Guorong Wu, Paul J. Laurienti, 2019, MICCAI.

EINVis: A Visualization Tool for Analyzing and Exploring Genetic Interactions in Large‐Scale Association Studies

Xiaofeng Zhu, Jian Chen, Xiang Zhang, 2013, Genetic epidemiology.

Hybrid swarm intelligent parallel algorithm research based on multi-core clusters

Xiaofeng Zhu, Chang-an Yuan, Wenjing Li, 2016, Microprocess. Microsystems.

Estimating confidence intervals for structural differences between contrast groups with missing data

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2009, Expert Syst. Appl..

Low-rank hypergraph feature selection for multi-output regression

Xiaofeng Zhu, Wei Zheng, Kim-Han Thung, 2017, World wide web (Bussum).

Unsupervised feature selection by self-paced learning regularization

Xiaofeng Zhu, Wei Zheng, Yonghua Zhu, 2020, Pattern Recognit. Lett..

Graph sparse learning in multimedia data

Xiaofeng Zhu, 2013 .

Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations

Dinggang Shen, Heng Huang, Xiaofeng Zhu, 2016, MICCAI.

Missing Value Estimation for Mixed-Attribute Data Sets

Zili Zhang, Xiaofeng Zhu, Shichao Zhang, 2011, IEEE Transactions on Knowledge and Data Engineering.

Systems Biology Analyses of Gene Expression and Genome Wide Association Study Data in Obstructive Sleep Apnea

Yu Liu, Xiaofeng Zhu, Salim A. Chowdhury, 2011, Pacific Symposium on Biocomputing.

Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional Connectivity

Xiaofeng Zhu, Yong Fan, Hongming Li, 2018, AAAI.

Adaptive Hypergraph Learning for Unsupervised Feature Selection

Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, 2017, IJCAI.

Measuring the Uncertainty of Differences for Contrasting Groups

Xindong Wu, Chengqi Zhang, Xiaofeng Zhu, 2007, AAAI.

Connected graph decomposition for spectral clustering

Xiaofeng Zhu, Tingting Du, Tao Tong, 2018, Multimedia Tools and Applications.

Listwise Learning to Rank by Exploring Unique Ratings

Diego Klabjan, Xiaofeng Zhu, Xiaofeng Zhu, 2020, WSDM.

Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification

Dinggang Shen, Wei Gao, Xiaofeng Zhu, 2016, MICCAI.

Semi-parametric optimization for missing data imputation

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2007, Applied Intelligence.

High dynamic range image forensics using cnn pdf

Xiaofeng Zhu, Yongqing Huo, 2019, ArXiv.

Online human gesture recognition from motion data streams

Quan Z. Sheng, Xin Zhao, Xiaofeng Zhu, 2013, ACM Multimedia.

Interrogating local population structure for fine mapping in genome-wide association studies

Xiaofeng Zhu, Mingyao Li, Nathan Morris, 2010, Bioinform..

NIIA: Nonparametric Iterative Imputation Algorithm

Xiaofeng Zhu, Shichao Zhang, Zhi Jin, 2008, PRICAI.

Multimedia Tagging

Xiaofeng Zhu, Xiaofeng Zhu, 2018, Encyclopedia of Database Systems.

Difference Detection Between Two Contrast Sets

Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, 2006, DaWaK.

Robust SVM with adaptive graph learning

Xiaofeng Zhu, Yonghua Zhu, Rongyao Hu, 2019, World Wide Web.

Dynamic Hyper-Graph Inference Framework for Computer-Assisted Diagnosis of Neurodegenerative Diseases

Xiaofeng Zhu, Guorong Wu, Minjeong Kim, 2019, IEEE Transactions on Medical Imaging.

Dimensionality reduction by Mixed Kernel Canonical Correlation Analysis

Zi Huang, Changsheng Xu, Xiaofeng Zhu, 2012, Pattern Recognition.

An Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene‐Lifestyle Interactions Working Group

Claude Bouchard, Xiaofeng Zhu, Eric Boerwinkle, 2016, Genetic epidemiology.

Cost-Sensitive Imputing Missing Values with Ordering

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2007, AAAI.

Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2016, MLMI@MICCAI.

Toward Human in the Loop Optimization Through Game-Based Experiments

Xiaofeng Zhu, Michael Williams, Casper Harteveld, 2016, CHI PLAY.

Efficient kNN Classification With Different Numbers of Nearest Neighbors

Xiaofeng Zhu, Shichao Zhang, Ruili Wang, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Identification of Multi-scale Hierarchical Brain Functional Networks Using Deep Matrix Factorization

Xiaofeng Zhu, Yong Fan, Hongming Li, 2018, MICCAI.

Gene, pathway and network frameworks to identify epistatic interactions of single nucleotide polymorphisms derived from GWAS data

Yu Liu, Xiaofeng Zhu, Tao Feng, 2012, BMC Systems Biology.

Missing Value Imputation Based on Data Clustering

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2008, Trans. Comput. Sci..

Efficient Utilization of Missing Data in Cost-Sensitive Learning

Xiaofeng Zhu, Chengyuan Zhang, Shichao Zhang, 2019, IEEE Transactions on Knowledge and Data Engineering.

Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease

Dinggang Shen, Feiping Nie, Xiaofeng Zhu, 2016, MICCAI.

Dynamic graph learning for spectral feature selection

Xiaofeng Zhu, Wei Zheng, Yonghua Zhu, 2018, Multimedia Tools and Applications.

Video-to-shot tag allocation by weighted sparse group lasso

Zi Huang, Xiaofeng Zhu, Heng Tao Shen, 2011, MM '11.

Semantic Document Distance Measures and Unsupervised Document Revision Detection

Diego Klabjan, Xiaofeng Zhu, Patrick N. Bless, 2017, IJCNLP.

Multi-Output Regression with Tag Correlation Analysis for Effective Image Tagging

Zi Huang, Qing Zhang, Xuefei Li, 2014, DASFAA.

Multi-modality Canonical Feature Selection for Alzheimer's Disease Diagnosis

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2014, MICCAI.

Image Super-Resolution by Supervised Adaption of Patchwise Self-similarity from High-Resolution Image

Dinggang Shen, Xiaofeng Zhu, Qian Wang, 2015, Patch-MI@MICCAI.

Personalized Diagnosis for Alzheimer's Disease

Xiaofeng Zhu, Guorong Wu, Minjeong Kim, 2017, MICCAI.

Mining Dual Networks

Li Li, Xiaofeng Zhu, Ruoming Jin, 2016, ACM Trans. Knowl. Discov. Data.

Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection

Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, 2018, IEEE Transactions on Knowledge and Data Engineering.

Clustering-based Missing Value Imputation for Data Preprocessing

Shichao Zhang, Chengqi Zhang, Xiaofeng Zhu, 2006, 2006 4th IEEE International Conference on Industrial Informatics.

Multi‐modal classification of neurodegenerative disease by progressive graph‐based transductive learning

Feiping Nie, Xiaofeng Zhu, Ehsan Adeli, 2017, Medical Image Anal..

Adjustment for local ancestry in genetic association analysis of admixed populations

Xiaofeng Zhu, Chun Li, Xuexia Wang, 2011, Bioinform..

Robust Feature Selection on Incomplete Data

Xiaofeng Zhu, Wei Zheng, Shichao Zhang, 2018, IJCAI.

Robust and Discriminative Brain Genome Association Study

Xiaofeng Zhu, Dinggang Shen, 2019, MICCAI.

VarExp: Estimating variance explained by Genome-Wide GxE summary statistics

Xiaofeng Zhu, Hugues Aschard, Vincent Laville, 2017, bioRxiv.

Cost-Time Sensitive Decision Tree with Missing Values

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2007, KSEM.

A Novel Dynamic Hyper-graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases

Xiaofeng Zhu, Guorong Wu, Minjeong Kim, 2017, IPMI.

Zero-shot Image Categorization by Image Correlation Exploration

Xiaofeng Zhu, Heng Tao Shen, Jingkuan Song, 2015, ICMR.

Robust Graph Dimensionality Reduction

Xiaofeng Zhu, Shichao Zhang, Hao Yu, 2018, IJCAI.

Mining follow-up correlation patterns from time-related databases

Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, 2007, Knowledge and Information Systems.

Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers

Dinggang Shen, Heng Huang, Xiaofeng Zhu, 2017, IEEE Transactions on Big Data.

Identifying Follow-Correlation Itemset-Pairs

Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, 2006, Sixth International Conference on Data Mining (ICDM'06).

Finding susceptible and protective interaction patterns in large-scale genetic association study

Xiaofeng Zhu, Jun Pang, Xiang Zhang, 2017, Frontiers of Computer Science.

Association mapping, using a mixture model for complex traits

Xiaofeng Zhu, Hongyu Zhao, ShuangLin Zhang, 2002, Genetic epidemiology.

A unified association analysis approach for family and unrelated samples correcting for stratification.

Xiaofeng Zhu, Shengchao Li, Robert C Elston, 2008, American journal of human genetics.

Multivariate Analysis of Anthropometric Traits Using Summary Statistics of Genome-Wide Association Studies from GIANT Consortium

Xiaofeng Zhu, Xiaoyin Li, Yeunjoo E. Song, 2016, PloS one.

The landscape of recombination in African Americans

Xiaofeng Zhu, Alex P. Reiner, Jasmin Divers, 2011, Nature.

A unified GMDR method for detecting gene–gene interactions in family and unrelated samples with application to nicotine dependence

Xiaofeng Zhu, Degui Zhi, Nianjun Liu, 2013, Human Genetics.

Fluoxetine Upregulates Phosphorylated-AKT and Phosphorylated-ERK1/2 Proteins in Neural Stem Cells: Evidence for a Crosstalk between AKT and ERK1/2 Pathways

Xiaofeng Zhu, Peng Xie, Z. Cai, 2012, Journal of Molecular Neuroscience.

A classical likelihood based approach for admixture mapping using EM algorithm

Xiaofeng Zhu, Hua Tang, Hua Tang, 2006, Human Genetics.

Admixture mapping and the role of population structure for localizing disease genes.

Xiaofeng Zhu, Hua Tang, N. Risch, 2008, Advances in genetics.

A variance component based multi-marker association test using family and unrelated data

Xiaofeng Zhu, Nathan J Morris, Robert C Elston, 2013, BMC Genetics.

A Meta-Analysis Identifies New Loci Associated with Body Mass index in Individuals of African Ancestry

Xiaofeng Zhu, Olufunmilayo I. Olopade, Alex P. Reiner, 2013, Nature Genetics.

Variants in CXADR and F2RL1 are associated with blood pressure and obesity in African-Americans in regions identified through admixture mapping

Xiaofeng Zhu, Eric Boerwinkle, Hua Tang, 2012, Journal of hypertension.

Discovery of common sequences absent in the human reference genome using pooled samples from next generation sequencing

Xiaofeng Zhu, Mehmet Koyutürk, Sean Maxwell, 2014, BMC Genomics.

Genome-wide searching of rare genetic variants in WTCCC data

Xiaofeng Zhu, Xiaofeng Zhu, Tao Feng, 2010, Human Genetics.

Genetic Background of Patients from a University Medical Center in Manhattan: Implications for Personalized Medicine

Xiaofeng Zhu, Huaizhen Qin, Erwin P. Bottinger, 2011, PloS one.

Gene-centric meta-analysis in 87,736 individuals of European ancestry identifies multiple blood-pressure-related loci.

Christian Gieger, Xiaofeng Zhu, Tom R. Gaunt, 2014, American journal of human genetics.

On a semiparametric test to detect associations between quantitative traits and candidate genes using unrelated individuals

Xiaofeng Zhu, Hongyu Zhao, Hongyu Zhao, 2003, Genetic epidemiology.

Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits

Xiaofeng Zhu, Max A. Little, Richard Emsley, 2016, Nature Genetics.

Genetic Variants in Novel Pathways Influence Blood Pressure and Cardiovascular Disease Risk

Christian Gieger, Xiaofeng Zhu, Paolo Vineis, 2011, Nature.

ARTICLE Genome-wide Characterization of Shared and Distinct Genetic Components that Influence Blood Lipid Levels in Ethnically Diverse Human Populations

Xiaofeng Zhu, Charles Kooperberg, Nicholas A. Johnson, 2022 .

Statistical interaction in human genetics: how should we model it if we are looking for biological interaction?

Xiaofeng Zhu, Robert C. Elston, R. Elston, 2011, Nature Reviews Genetics.

Directional dominance on stature and cognition in diverse human populations

Laura J. Scott, Claude Bouchard, Christian Gieger, 2015, Nature.

What is the significance of difference in phenotypic variability across SNP genotypes?

Xiaofeng Zhu, Nathan Morris, R. Elston, 2013, American journal of human genetics.

Whole genome sequencing data from pedigrees suggests linkage disequilibrium among rare variants created by population admixture

Xiaofeng Zhu, Xiaofeng Zhu, Tao Feng, 2014, BMC Proceedings.

Using the Optimal Robust Receiver Operating Characteristic (ROC) Curve for Predictive Genetic Tests

Xiaofeng Zhu, Qing Lu, Sungho Won, 2010, Biometrics.

A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure.

Fernando Pires Hartwig, Claude Bouchard, Christian Gieger, 2018, American journal of human genetics.

Linkage analysis of a complex disease through use of admixed populations.

Xiaofeng Zhu, Robert C Elston, Richard S Cooper, 2004, American journal of human genetics.

Trans-ethnic Meta-analysis and Functional Annotation Illuminates the Genetic Architecture of Fasting Glucose and Insulin.

Xiaofeng Zhu, Todd L Edwards, Dana C Crawford, 2016, American journal of human genetics.

Genetic Structure, Self-identified Race/ethnicity, and Confounding in Case-control Association Studies

Xiaofeng Zhu, Eric Boerwinkle, Sharon L R Kardia, 2022 .

Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations

Xiaofeng Zhu, Tamar Sofer, Joshua C Denny, 2017, PLoS genetics.

The Association of a SNP Upstream of INSIG2 with Body Mass Index is Reproduced in Several but Not All Cohorts

Xiaofeng Zhu, Thomas Meitinger, Christoph Lange, 2007, PLoS genetics.

Capability of common SNPs to tag rare variants

Xiaofeng Zhu, Junghyun Namkung, Robert C Elston, 2011, BMC proceedings.

Genetic Associations with Obstructive Sleep Apnea Traits in Hispanic/Latino Americans.

Xiaofeng Zhu, Tamar Sofer, Raanan Arens, 2016, American journal of respiratory and critical care medicine.

Gene–gene and gene–environment interactions in ulcerative colitis

Xiaofeng Zhu, Stephan Ripke, Jean-Paul Achkar, 2013, Human Genetics.

The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals

Xiaofeng Zhu, Vladan Mijatovic, Inês Barroso, 2016, Nature Genetics.

Genome-wide comparison of African-ancestry populations from CARe and other cohorts reveals signals of natural selection.

Xiaofeng Zhu, Ingo Ruczinski, Swapan Mallick, 2011, American journal of human genetics.

Meta-analysis of correlated traits via summary statistics from GWASs with an application in hypertension.

Xiaofeng Zhu, Todd L Edwards, Wei Chen, 2015, American journal of human genetics.

Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations.

Xiaofeng Zhu, Todd L Edwards, Wei Guo, 2013, American journal of human genetics.

Haplotypes produced from rare variants in the promoter and coding regions of angiotensinogen contribute to variation in angiotensinogen levels.

Xiaofeng Zhu, Adebowale Adeyemo, Richard S Cooper, 2005, Human molecular genetics.

Genome-wide association of anthropometric traits in African- and African-derived populations.

Xiaofeng Zhu, Charles Rotimi, Kristin Ardlie, 2010, Human molecular genetics.