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Selected Peer-Reviewed Publications
Communication-Optimal Distributed Dynamic Graph Clustering ,End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion Top-down Indoor Localization with Wi-Fi Fingerprints using Deep Q-network ,Large-scale Automatic Depression Screening Using Meta-data from Wi-Fi Infrastructure ,Fusion Location Data for Depression Prediction ,Inferring Phenotypes from Substance Use via Collaborative Matrix Completion ,Reforming Generative Autoencoders via Goodness-of-Fit Hypothesis Testing ,Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning ,Latent Sparse Modeling of Longitudinal Multi-dimensional Data ,Collaborative Phenotype Inference from Comorbid Substance Use Disorders and Genotypes ,VIGAN: Missing View Imputation with Generative Adversaial Networks ,Identifying and Quantifying Nonlinear Structured Relationships in Complex Manufactural Systems ,Fusing Location Data for Depression Prediction ,Classification of Neurological Gait Disorders Using Multi-task Feature Learning ,A Sparse Inductive Model for Matrix Completion with Side Information ,here . A more efficient proof will be published in a journal version.Behavior vs. Introspection: Refining Prediction of Clinical Depression via Smartphone Sensing Data ,A Cross-species Bi-clustering Approach to Identifying Conserved Co-regulated Genes ,Bi-convex Optimization to Learn Classifiers from Multiple Biomedical Annotations ,Multi-view Bi-clustering to Identify Smartphone Sensing Features Indicative of Depression ,Machine Learning Identification of EEG Features Predicting Working Memory Performance in Schizophrenia and Healthy Adults ,Quantifying Feed Efficiency of Dairy Cattle for Genome-wide Association Analysis ,An Effective Method to Identify Heritable Components from Multivariate Phenotypes ,github .Multiplicative Multi-Task Feature Learning ,Refining Multivariate Disease Phenotypes for High Chip Heritability ,here .Announcement: A lot of typeset/edit errors were created in the production process of BMC Medical Genomics that affect the scientific content of this paper. Hence, we suggest readers to ignore the online version from the journal website.Longitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome Prediction ,Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization ,Spatio-temporal Modeling of EEG Data for Understanding Working Memory ,ICML Workshop on Statistics, Machine Learning and Neuroscience , 2015.Learning Classifiers from Dual Annotation Ambiguity via a Min-Max Framework ,Detecting Tympanostomy Tubes from Otoscopic Images via Offline and Online Training ,On Multiplicative Multi-Task Feature Learning ,Identifying Heritable Composite Traits from Multivariate Phenotypes with Genome-wide SNPs ,A Sparse Integrative Cluster Analysis for Understanding Soybean Phenotypes ,A Viewpoint of Security for Digital Health Care: What’s There? What Works? What’s Needed? ,Transcriptional Profiles of Bovine In Vivo Pre-implantation Development ,Translating Effective Paper-based Disease Management into Electronic Medical Systems ,Multi-view Singular Value Decomposition for Disease Subtyping and Genetic Associations ,here .Multi-view Biclustering for Genotype-Phenotype Association Studies of Complex Diseases ,Quadratic Optimization to Identify Highly Heritable Quantitative Traits from Complex Phenotypic Features ,Comparing the Utility of Homogeneous Subtypes of Cocaine Use and Related Behaviors with DSM-IV Cocaine Dependence as Traits for Association Analysis ,Dopamine D1 Receptor Gene Variation Modulates Opioid Dependence Risk by Affecting Transition to Addiction ,Multiview Comodeling to Improve Genetic Association of Complex Disease Phenotypes ,A Machine Learning Approach to College Drinking Prediction and Risk Factor Identification ,Efficient Techniques for Genotype-Phenotype Correlational Analysis ,A Multi-Objective Program for Quantitative Subtyping of Clinically Relevant Phenotypes ,Improved Methods to Identify Stable, Highly Heritable Subtypes of Opioid Use and Related Behaviors ,1-Norm Support Vector Machine for College Drinking Risk Factor Identification ,An Intelligent Web-based Decision Support Tool for Enhancing Asthma Guideline Adherence ,Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach ,AdaBoost on Low-Rank PSD Matrices for Metric Learning ,Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images ,Matrix-Variate and Higher-Order Probabilistic Projections ,Correcting Misalignment of Automatic 3D Detection by Classification: Ileo-cecal Valve False Positive Reduction in CT Colonography ,Stratified Learning of Local Anatomical Context for Lung Nodules in CT Images ,Hierarchical Learning for Tubular Structure Parsing in Medical Imaging: A Study on Coronary Arteries Using 3D CT Angiography ,A Two-Level Approach Towards Semantic Colon Segmentation: Removing Extra-colonic Findings ,A Min-Max Framework of Cascaded Classifier with Multiple Instance Learning for Computer Aided Diagnosis ,An Improved Multi-task Learning Approach with Applications in Medical Diagnosis ,Bayesian Multiple Instance Learning: Automatic Feature Selection and Inductive Transfer ,Local Characteristic Features for Computer Aided Detection of Pulmonary Embolism in CT Angiography ,Stratified Regularity Measures with Jensen-Shannon Divergence ,Large Scale Diagnostic Code Classification for Medical Patient Records ,Automatic Medical Coding of Patient Records via Weighted Ridge Regression ,LungCAD: A Clinically Approved, Machine Learning System for Lung Cancer Detection ,A Mathematical Programming Formulation for Sparse Collaborative Computer Aided Diagnosis ,Joint Optimization of Cascaded Classifiers for Computer Aided Detection ,Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure ,Computer Aided Detection of Pulmonary Embolism with Tobogganing and Multiple Instance Classification in CT Pulmonary Angiography ,Robust Parametric Modeling Approach Based on Domain Knowledge for Computer Aided Detection of Vertebrae Column Metastases in MRI ,Automated Heart Abnormality Detection Using Sparse Linear Classifiers ,An early version appeared in Special session on “Application of Machine Learning in Medicine and Biology” of The 4th International Conference on Machine Learning and Applications (ICMLA), 2005.On the Medical Frontier: the 2006 KDD Cup Competition ,Probabilistic Joint Feature Selection for Multi-task Learning ,Learning Classifiers When the Training Data is not IID ,Efficient Model Selection for Regularized Linear Discriminant Analysis ,Automatic View Recognition for Cardiac Ultrasound Images ,Computer Aided Detection via Asymmetric Cascade of Sparse Hyperplane Classifiers ,MILES: Multiple-Instance Learning via Embedded Instance Selection ,Active Learning via Transductive Experimental Design ,Semi-supervised Mixture of Kernels via LPBoost Methods ,A Sparse Support Vector Machine Approach to Region-based Image Categorization ,Sparse Fisher Discriminant Analysis for Computer Aided Detection ,Clustering by Maximizing Sum-of-squared Separation Distance ,Support Vector Classification with Input Data Uncertainty ,Column-Generation Boosting Methods for Mixture of Kernels ,A Fast Iterative Algorithm for Fisher Discriminant using Heterogeneous Kernels ,Regression Error Characteristic Curves ,Multi-Objective Programming in SVMs ,Learning with Rigorous Support Vector Machines ,A Geometric Approach to Support Vector Regression ,Dimensionality Reduction via Sparse Support Vector Machines ,Prediction of Protein Retention Times in Anion-exchange Chromatography Systems Using Support Vector Machines ,Descriptor Generation, Selection and Model Building in Quantitative Structure-Property Analysis,
Duality, Geometry, and Support Vector Regression ,Calibrating the Adaptive Learning Rate to Improve Convergence of ADAM ,Stochastic Privacy-Preserving Methods for Nonconvex Sparse Learning ,Perceived Stress, Self-Efficiency, and the Cerebral Morphometric Markers in Binge-drinking Young Adults ,An Efficient Tensor Regression with Latent Sparse Regularization ,Machine Learning Analysis of Aggregated Cocaine Treatment Studies to Understand the Efficacy of Modafinil ,