Jieping Ye

According to our database1, Jieping Ye authored at least 276 papers between 2000 and 2019.

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Bibliography

2019
A Unified Model for Joint Normalization and Differential Gene Expression Detection in RNA-Seq Data.
IEEE/ACM Trans. Comput. Biology Bioinform., 2019

Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data.
IEEE Trans. Biomed. Engineering, 2019

A Distributed Computing Platform for fMRI Big Data Analytics.
IEEE Trans. Big Data, 2019

Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning.
Proceedings of the World Wide Web Conference, 2019

Cooperation-Aware Task Assignment in Spatial Crowdsourcing.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018
Identifying Genetic Risk Factors for Alzheimer's Disease via Shared Tree-Guided Feature Learning Across Multiple Tasks.
IEEE Trans. Knowl. Data Eng., 2018

Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi-Source Data.
IEEE Trans. Knowl. Data Eng., 2018

Multifeature, Sparse-Based Approach for Defects Detection and Classification in Semiconductor Units.
IEEE Trans. Automation Science and Engineering, 2018

Order Dispatch in Price-aware Ridesharing.
PVLDB, 2018

A Unified Approach to Route Planning for Shared Mobility.
PVLDB, 2018

Safe Feature Screening for Generalized LASSO.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach.
Proceedings of the 2018 International Conference on Management of Data, 2018

Taxi or Hitchhiking: Predicting Passenger's Preferred Service on Ride Sharing Platforms.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Big Data at Didi Chuxing.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Multi-Task Learning based Survival Analysis for Predicting Alzheimer's Disease Progression with Multi-Source Block-wise Missing Data.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Large-Scale Targeted Marketing by Supervised PageRank with Seeds.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Learning to Estimate the Travel Time.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

TINET: Learning Invariant Networks via Knowledge Transfer.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Learning Adversarial Networks for Semi-Supervised Text Classification via Policy Gradient.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Multi-task Representation Learning for Travel Time Estimation.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Human-Centric Urban Transit Evaluation and Planning.
Proceedings of the IEEE International Conference on Data Mining, 2018

Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching.
Proceedings of the IEEE International Conference on Data Mining, 2018

Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining.
Proceedings of the IEEE International Conference on Big Data, 2018

Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Margin Based PU Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting.
IEEE Trans. Knowl. Data Eng., 2017

Flexible Online Task Assignment in Real-Time Spatial Data.
PVLDB, 2017

Task fMRI data analysis based on supervised stochastic coordinate coding.
Medical Image Analysis, 2017

Pruning Decision Trees via Max-Heap Projection.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Computational Drug Discovery with Dyadic Positive-Unlabeled Learning.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

A Taxi Order Dispatch Model based On Combinatorial Optimization.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Template-guided Functional Network Identification via Supervised Dictionary Learning.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Multi-source Multi-target Dictionary Learning for Prediction of Cognitive Decline.
Proceedings of the Information Processing in Medical Imaging, 2017

Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction.
Proceedings of the 34th International Conference on Machine Learning, 2017

Robust Self-Tuning Sparse Subspace Clustering.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Multi-task Survival Analysis.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

DeepSD: Supply-Demand Prediction for Online Car-Hailing Services Using Deep Neural Networks.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016
Jointly Modeling Label and Feature Heterogeneity in Medical Informatics.
TKDD, 2016

Guest Editors' Introduction: Special issue on deep learning with applications to visual representation and analysis.
Sig. Proc.: Image Comm., 2016

LSSLP - Local structure sensitive label propagation.
Inf. Sci., 2016

Multidimensional folding for sinusoidal order selection.
Digital Signal Processing, 2016

Detection of number of components in CANDECOMP/PARAFAC models via minimum description length.
Digital Signal Processing, 2016

A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Embedded sparse representation of fMRI data via group-wise dictionary optimization.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Annealed Sparsity via Adaptive and Dynamic Shrinking.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Absolute Fused Lasso and Its Application to Genome-Wide Association Studies.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Predict Risk of Relapse for Patients with Multiple Stages of Treatment of Depression.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

A Multi-Task Learning Formulation for Survival Analysis.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Parallel Lasso Screening for Big Data Optimization.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Modeling functional network dynamics via multi-scale dictionary learning and network continuums.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Fast Laplace Approximation for Sparse Bayesian Spike and Slab Models.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Multi-feature sparse-based defect detection and classification in semiconductor units.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Transfer Learning for Survival Analysis via Efficient L2, 1-Norm Regularized Cox Regression.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

2015
Persistent Homology in Sparse Regression and Its Application to Brain Morphometry.
IEEE Trans. Med. Imaging, 2015

A Reconstruction Error Based Framework for Multi-Label and Multi-View Learning.
IEEE Trans. Knowl. Data Eng., 2015

Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function.
IEEE Trans. Biomed. Engineering, 2015

Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion.
SIAM J. Scientific Computing, 2015

Fused Multiple Graphical Lasso.
SIAM Journal on Optimization, 2015

Fused Lasso Screening Rules via the Monotonicity of Subdifferentials.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Simultaneous pursuit of sparseness and rank structures for matrix decomposition.
J. Mach. Learn. Res., 2015

Lasso screening rules via dual polytope projection.
J. Mach. Learn. Res., 2015

Parallel Architecture With Resistive Crosspoint Array for Dictionary Learning Acceleration.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2015

Deep convolutional neural networks for annotating gene expression patterns in the mouse brain.
BMC Bioinformatics, 2015

Efficient nonconvex sparse group feature selection via continuous and discrete optimization.
Artif. Intell., 2015

Automated Gene Expression Pattern Annotation in the Mouse Brain.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

Melancholic Depression Prediction by Identifying Representative Features in Metabolic and Microarray Profiles with Missing Values.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

Session Introduction.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

HONOR: Hybrid Optimization for NOn-convex Regularized problems.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Recognizing Social Constructs from Textual Conversation.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Coupled Support Vector Machines for Supervised Domain Adaptation.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Modeling Task FMRI Data via Supervised Stochastic Coordinate Coding.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Multi-Task Learning for Spatio-Temporal Event Forecasting.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Structural Graphical Lasso for Learning Mouse Brain Connectivity.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Transfer Learning for Bilingual Content Classification.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Unified and Contrasting Cuts in Multiple Graphs: Application to Medical Imaging Segmentation.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Boosting classification accuracy of diffusion MRI derived brain networks for the subtypes of mild cognitive impairment using higher order singular value decomposition.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Detecting genetic risk factors for Alzheimer's disease in whole genome sequence data via Lasso screening.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices.
Proceedings of the 32nd International Conference on Machine Learning, 2015

A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Efficient Approximate Solutions to Mutual Information Based Global Feature Selection.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Mitigating Effects of Non-ideal Synaptic Device Characteristics for On-chip Learning.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

Technology-design co-optimization of resistive cross-point array for accelerating learning algorithms on chip.
Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

2014
Bi-level multi-source learning for heterogeneous block-wise missing data.
NeuroImage, 2014

Analysis of sampling techniques for imbalanced data: An n = 648 ADNI study.
NeuroImage, 2014

Automated annotation of developmental stages of Drosophila embryos in images containing spatial patterns of expression.
Bioinformatics, 2014

myFX: a turn-key software for laboratory desktops to analyze spatial patterns of gene expression in Drosophila embryos.
Bioinformatics, 2014

Sparse Generalized Functional Linear Model for Predicting Remission Status of Depression Patients.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

Session introduction.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

A Safe Screening Rule for Sparse Logistic Regression.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Evaluating the predictive power of multivariate tensor-based morphometry in Alzheimer's disease progression via convex fused sparse group Lasso.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

From micro to macro: data driven phenotyping by densification of longitudinal electronic medical records.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Simultaneous feature and feature group selection through hard thresholding.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

An efficient algorithm for weak hierarchical lasso.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Efficient multi-task feature learning with calibration.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Scaling SVM and Least Absolute Deviations via Exact Data Reduction.
Proceedings of the 31th International Conference on Machine Learning, 2014

A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models.
Proceedings of the 31th International Conference on Machine Learning, 2014

Rank-One Matrix Pursuit for Matrix Completion.
Proceedings of the 31th International Conference on Machine Learning, 2014

Safe Screening with Variational Inequalities and Its Application to Lasso.
Proceedings of the 31th International Conference on Machine Learning, 2014

Geodesic Distance Function Learning via Heat Flow on Vector Fields.
Proceedings of the 31th International Conference on Machine Learning, 2014

Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint.
Proceedings of the 31th International Conference on Machine Learning, 2014

Image Cosegmentation via Multi-task Learning.
Proceedings of the British Machine Vision Conference, 2014

Neurophysics-inspired parallel architecture with resistive crosspoint array for dictionary learning.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

Parallel Programming of Resistive Cross-point Array for Synaptic Plasticity.
Proceedings of the 5th Annual International Conference on Biologically Inspired Cognitive Architectures, 2014

Low-Rank and Sparse Multi-task Learning.
Proceedings of the Low-Rank and Sparse Modeling for Visual Analysis, 2014

2013
A framework for interactive image color editing.
The Visual Computer, 2013

On Similarity Preserving Feature Selection.
IEEE Trans. Knowl. Data Eng., 2013

A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

A Convex Formulation for Learning a Shared Predictive Structure from Multiple Tasks.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Modeling disease progression via multi-task learning.
NeuroImage, 2013

Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis.
NeuroImage, 2013

Image-level and group-level models for Drosophila gene expression pattern annotation.
BMC Bioinformatics, 2013

Patient Risk Prediction Model via Top-k Stability Selection.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Multi-objective Multi-view Spectral Clustering via Pareto Optimization.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Session introduction.
Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

Lasso Screening Rules via Dual Polytope Projection.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

FeaFiner: biomarker identification from medical data through feature generalization and selection.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

An efficient ADMM algorithm for multidimensional anisotropic total variation regularization problems.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Multi-source learning with block-wise missing data for Alzheimer's disease prediction.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Querying discriminative and representative samples for batch mode active learning.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Robust principal component analysis via capped norms.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Active Learning from Relative Queries.
Proceedings of the IJCAI 2013, 2013

Efficient Sparse Group Feature Selection via Nonconvex Optimization.
Proceedings of the 30th International Conference on Machine Learning, 2013

A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems.
Proceedings of the 30th International Conference on Machine Learning, 2013

Joint Transfer and Batch-mode Active Learning.
Proceedings of the 30th International Conference on Machine Learning, 2013

Guaranteed Sparse Recovery under Linear Transformation.
Proceedings of the 30th International Conference on Machine Learning, 2013

Active Matrix Completion.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Multisource domain adaptation and its application to early detection of fatigue.
TKDD, 2012

Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning.
IEEE/ACM Trans. Comput. Biology Bioinform., 2012

A Subject-Independent Method for Automatically Grading Electromyographic Features During a Fatiguing Contraction.
IEEE Trans. Biomed. Engineering, 2012

Sparse methods for biomedical data.
SIGKDD Explorations, 2012

Sparse non-negative tensor factorization using columnwise coordinate descent.
Pattern Recognition, 2012

Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data.
NeuroImage, 2012

A Multi-Stage Framework for Dantzig Selector and LASSO.
J. Mach. Learn. Res., 2012

Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval.
BMC Bioinformatics, 2012

Exploring spatial patterns of gene expression from Fruit Fly embryogenesis on the iPhone.
Bioinformatics, 2012

Generalization Bounds for Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Multi-task Vector Field Learning.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Multi-Stage Multi-Task Feature Learning.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Modeling disease progression via fused sparse group lasso.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Feature grouping and selection over an undirected graph.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Optimal exact least squares rank minimization.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Accelerated singular value thresholding for matrix completion.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Robust multi-task feature learning.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Batch mode active sampling based on marginal probability distribution matching.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Matrix completion by Truncated Nuclear Norm Regularization.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Perspective Analysis for Online Debates.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
Efficient Sparse Generalized Multiple Kernel Learning.
IEEE Trans. Neural Networks, 2011

Tuberculosis Surveillance by Analyzing Google Trends.
IEEE Trans. Biomed. Engineering, 2011

Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Matrix-variate and higher-order probabilistic projections.
Data Min. Knowl. Discov., 2011

Machine Learning Approaches for the Neuroimaging Study of Alzheimer's Disease.
IEEE Computer, 2011

FlyExpress: visual mining of spatiotemporal patterns for genes and publications in Drosophila embryogenesis.
Bioinformatics, 2011

Clustered Multi-Task Learning Via Alternating Structure Optimization.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Efficient Methods for Overlapping Group Lasso.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

A Two-Stage Weighting Framework for Multi-Source Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Projection onto A Nonnegative Max-Heap.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

A multi-task learning formulation for predicting disease progression.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Integrating low-rank and group-sparse structures for robust multi-task learning.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Multi-source domain adaptation and its application to early detection of fatigue.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Transfer Learning Framework for Early Detection of Fatigue Using Non-invasive Surface Electromyogram Signals (SEMG).
Proceedings of the Computational Physiology, 2011

2010
A shared-subspace learning framework for multi-label classification.
TKDD, 2010

Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning.
SIAM Journal on Optimization, 2010

Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation.
NeuroImage, 2010

Multiple structure alignment and consensus identification for proteins.
BMC Bioinformatics, 2010

Moreau-Yosida Regularization for Grouped Tree Structure Learning.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Multi-Stage Dantzig Selector.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

A scalable two-stage approach for a class of dimensionality reduction techniques.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

An efficient algorithm for a class of fused lasso problems.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Learning incoherent sparse and low-rank patterns from multiple tasks.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Kernel Learning for Efficiency Maximization in the Conformal Predictions Framework.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009
Biological Image Analysis via Matrix Approximation.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Interest Pixel Mining.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Compressed Facade Displacement Maps.
IEEE Trans. Vis. Comput. Graph., 2009

A Small Sphere and Large Margin Approach for Novelty Detection Using Training Data with Outliers.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

A bag-of-words approach for Drosophila gene expression pattern annotation.
BMC Bioinformatics, 2009

Multi-Task Feature Learning Via Efficient l2, 1-Norm Minimization.
Proceedings of the UAI 2009, 2009

Efficient Recovery of Jointly Sparse Vectors.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Mining discrete patterns via binary matrix factorization.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Large-scale sparse logistic regression.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Drosophila gene expression pattern annotation using sparse features and term-term interactions.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Multiclass Probabilistic Kernel Discriminant Analysis.
Proceedings of the IJCAI 2009, 2009

On Multiple Kernel Learning with Multiple Labels.
Proceedings of the IJCAI 2009, 2009

On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares.
Proceedings of the IJCAI 2009, 2009

Learning the Optimal Neighborhood Kernel for Classification.
Proceedings of the IJCAI 2009, 2009

DrosophilaGene Expression Pattern Annotation through Multi-Instance Multi-Label Learning.
Proceedings of the IJCAI 2009, 2009

Linear Dimensionality Reduction for Multi-label Classification.
Proceedings of the IJCAI 2009, 2009

Online learning by ellipsoid method.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Non-monotonic feature selection.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

A least squares formulation for a class of generalized eigenvalue problems in machine learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Efficient Euclidean projections in linear time.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

An accelerated gradient method for trace norm minimization.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

A convex formulation for learning shared structures from multiple tasks.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Tensor completion for estimating missing values in visual data.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008
Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection.
IEEE Trans. Neural Networks, 2008

Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study.
IEEE Trans. Knowl. Data Eng., 2008

Developmental stage annotation of Drosophila gene expression pattern images via an entire solution path for LDA.
TKDD, 2008

Interest point detection using imbalance oriented selection.
Pattern Recognition, 2008

Multi-class Discriminant Kernel Learning via Convex Programming.
J. Mach. Learn. Res., 2008

Comments on the Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion.
J. Mach. Learn. Res., 2008

An evaluation of identity representability of facial expressions using feature distributions.
Neurocomputing, 2008

Adaptive diffusion kernel learning from biological networks for protein function prediction.
BMC Bioinformatics, 2008

Automated annotation of Drosophila gene expression patterns using a controlled vocabulary.
Bioinformatics, 2008

Multi-label Multiple Kernel Learning.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Identifying biologically relevant genes via multiple heterogeneous data sources.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Heterogeneous data fusion for alzheimer's disease study.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Hypergraph spectral learning for multi-label classification.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Extracting shared subspace for multi-label classification.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Learning subspace kernels for classification.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

A least squares formulation for canonical correlation analysis.
Proceedings of the Machine Learning, 2008

Training SVM with indefinite kernels.
Proceedings of the Machine Learning, 2008

A unified framework for generalized Linear Discriminant Analysis.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
SVM versus Least Squares SVM.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Discriminative K-means for Clustering.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Nonlinear adaptive distance metric learning for clustering.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Discriminant kernel and regularization parameter learning via semidefinite programming.
Proceedings of the Machine Learning, 2007

Least squares linear discriminant analysis.
Proceedings of the Machine Learning, 2007

Adaptive Distance Metric Learning for Clustering.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Feature Reduction via Generalized Uncorrelated Linear Discriminant Analysis.
IEEE Trans. Knowl. Data Eng., 2006

Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis.
J. Mach. Learn. Res., 2006

Multiple Structure Alignment and Consensus Identification for Proteins.
Proceedings of the Algorithms in Bioinformatics, 6th International Workshop, 2006

CPM: A Covariance-preserving Projection Method.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Regularized discriminant analysis for high dimensional, low sample size data.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Adaptive Appearance Based Face Recognition.
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

Null space versus orthogonal linear discriminant analysis.
Proceedings of the Machine Learning, 2006

Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Integrating Spatial and Discriminant Strength for Feature Selection and Linear Dimensionality Reduction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

Efficient model selection for regularized linear discriminant analysis.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005
A Two-Stage Linear Discriminant Analysis via QR-Decomposition.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems.
J. Mach. Learn. Res., 2005

2-Dimensional Singular Value Decomposition for 2D Maps and Images.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

2004
Using Uncorrelated Discriminant Analysis for Tissue Classification with Gene Expression Data.
IEEE/ACM Trans. Comput. Biology Bioinform., 2004

LDA/QR: an efficient and effective dimension reduction algorithm and its theoretical foundation.
Pattern Recognition, 2004

An Optimization Criterion for Generalized Discriminant Analysis on Undersampled Problems.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

Approximate Multiple Protein Structure Alignment Using the Sum-of-Pairs Distance.
Journal of Computational Biology, 2004

Pairwise Protein Structure Alignment Based on an Orientation-independent Backbone Representation.
J. Bioinformatics and Computational Biology, 2004

Two-Dimensional Linear Discriminant Analysis.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Efficient Kernel Discriminant Analysis via QR Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

IDR/QR: an incremental dimension reduction algorithm via QR decomposition.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

GPCA: an efficient dimension reduction scheme for image compression and retrieval.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Feature extraction via generalized uncorrelated linear discriminant analysis.
Proceedings of the Machine Learning, 2004

Generalized low rank approximations of matrices.
Proceedings of the Machine Learning, 2004

Linear Projection Methods in Face Recognition under Unconstrained Illuminations: A Comparative Study.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
Pairwise Protein Structure Alignment Based on an Orientation-Independent Representation of the Backbone Geometry.
Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003

A new optimization criterion for generalized discriminant analysis on undersampled problems.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Spatial Interest Pixels (SIPs): Useful Low-Level Features of Visual Media Data.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2000
Efficient approximation of minimum energy curves with interpolatory constraints.
Applied Mathematics and Computation, 2000

Approximation of minimum energy curves.
Applied Mathematics and Computation, 2000


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