Jieping Ye

Jieping Ye, Qi Li, Chandra Kambhamettu, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Parallel Lasso Screening for Big Data Optimization

Paul M. Thompson, Qingyang Li, Jieping Ye, 2016, KDD.

Guest Editors' Introduction: Special issue on deep learning with applications to visual representation and analysis

Jieping Ye, Lei Wang, Juergen Gall, 2016, Signal Process. Image Commun..

Network Reconstruction Based on Evolutionary-Game Data via Compressive Sensing

Jieping Ye, Wen-Xu Wang, Ying-Cheng Lai, 2011, Physical Review X.

Fast Laplace Approximation for Sparse Bayesian Spike and Slab Models

Yuan Qi, Jieping Ye, Yifan Yang, 2016, IJCAI.

Analysis of sampling techniques for imbalanced data: An n=648 ADNI study

Paul M. Thompson, Jiayu Zhou, Jieping Ye, 2014, NeuroImage.

Approximate Multiple Protein Structure Alignment Using the Sum-of-Pairs Distance

Jieping Ye, Ravi Janardan, Jieping Ye, 2004, J. Comput. Biol..

Discriminative K-means for Clustering

Jieping Ye, Zheng Zhao, Mingrui Wu, 2007, NIPS.

Learning subspace kernels for classification

Jieping Ye, Jianhui Chen, Qi Li, 2008, KDD.

A scalable two-stage approach for a class of dimensionality reduction techniques

Jieping Ye, Liang Sun, Betul Ceran, 2010, KDD.

Optimal exact least squares rank minimization

Jieping Ye, Xiaotong Shen, Shuo Xiang, 2012, KDD.

FlyExpress: visual mining of spatiotemporal patterns for genes and publications in Drosophila embryogenesis

Sethuraman Panchanathan, Jieping Ye, Shuiwang Ji, 2011, Bioinform..

Transfer Learning for Survival Analysis via Efficient L2,1-Norm Regularized Cox Regression

Jieping Ye, Yan Li, Chandan K. Reddy, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

An efficient algorithm for weak hierarchical lasso

Jieping Ye, Jie Wang, Yashu Liu, 2014, KDD.

Taxi or Hitchhiking: Predicting Passenger's Preferred Service on Ride Sharing Platforms

Jieping Ye, Wei Ai, Yuhui Zhang, 2018, SIGIR.

An efficient ADMM algorithm for multidimensional anisotropic total variation regularization problems

Jieping Ye, Peter Wonka, Sen Yang, 2013, KDD.

CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms

Jieping Ye, Ming Zhou, Weinan Zhang, 2019, CIKM.

Task fMRI data analysis based on supervised stochastic coordinate coding

Wei Zhang, Yu Zhao, Qingyang Li, 2017, Medical Image Anal..

Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi-Source Data

Jianxin Li, Jieping Ye, Jinpeng Huai, 2018, IEEE Transactions on Knowledge and Data Engineering.

Integrating Spatial and Discriminant Strength for Feature Selection and Linear Dimensionality Reduction

Jieping Ye, Qi Li, Chandra Kambhamettu, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

An Efficient Algorithm For Weak Hierarchical Lasso

Jieping Ye, Jie Wang, Yashu Liu, 2016, TKDD.

Multi-task Survival Analysis

Jiayu Zhou, Jieping Ye, Yan Li, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Joint Transfer and Batch-mode Active Learning

Sethuraman Panchanathan, Jieping Ye, Ian Davidson, 2013, ICML.

Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network

Jing Li, Jieping Ye, Adam Fleisher, 2011, KDD.

Where to Find Next Passengers on E-hailing Platforms? - A Markov Decision Process Approach pdf

Jieping Ye, Hongtu Zhu, Xuan Di, 2019, ArXiv.

Optimizing Online Matching for Ride-Sourcing Services with Multi-Agent Deep Reinforcement Learning pdf

Jieping Ye, Feng Xiao, Jintao Ke, 2019, ArXiv.

Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding

Jie Zhang, Paul M. Thompson, Qingyang Li, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Multidimensional folding for sinusoidal order selection

Jieping Ye, Lei Huang, Kefei Liu, 2016, Digit. Signal Process..

A framework for interactive image color editing

Jieping Ye, Peter Wonka, Ming Cui, 2012, The Visual Computer.

Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation

Jieping Ye, Zhiwei Qin, Wenjie Shang, 2019, KDD.

A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models

Qingyang Li, Jieping Ye, Peter Wonka, 2014, ICML.

A Two-Stage Weighting Framework for Multi-Source Domain Adaptation

Sethuraman Panchanathan, Jieping Ye, Qian Sun, 2011, NIPS.

Drosophila gene expression pattern annotation using sparse features and term-term interactions

Jieping Ye, Zhi-Hua Zhou, Ying-Xin Li, 2009, KDD.

Robust principal component analysis via capped norms

Jieping Ye, Qian Sun, Shuo Xiang, 2013, KDD.

Large-scale classification of major depressive disorder via distributed Lasso

Paul M. Thompson, Qingyang Li, Jieping Ye, 2017, Symposium on Medical Information Processing and Analysis.

Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval

Jieping Ye, Zhi-Hua Zhou, Yuan Jiang, 2012, BMC Bioinformatics.

Session Introduction

Jieping Ye, Chitta Baral, Jeff Kiefer, 2019, PSB.

Multi-Label Dimensionality Reduction (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Jieping Ye, Liang Sun, Shuiwang Ji, 2011 .

Online learning by ellipsoid method

Jieping Ye, Rong Jin, Liu Yang, 2009, ICML '09.

A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing

Jieping Ye, Ming Lin, 2016, NIPS.

Multi-task learning based survival analysis for multi-source block-wise missing data

Jiayu Zhou, Jieping Ye, Yan Li, 2019, Neurocomputing.

A two-stage linear discriminant analysis via QR-decomposition

Jieping Ye, Qi Li, Jieping Ye, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Subject-Independent Method for Automatically Grading Electromyographic Features During a Fatiguing Contraction

Sethuraman Panchanathan, Jieping Ye, Marco Santello, 2012, IEEE Transactions on Biomedical Engineering.

Stochastic Coordinate Coding and Its Application for Drosophila Gene Expression Pattern Annotation pdf

Qingyang Li, Jieping Ye, Qian Sun, 2014, ArXiv.

Neurophysics-inspired parallel architecture with resistive crosspoint array for dictionary learning

Shimeng Yu, Yu Cao, Jieping Ye, 2014, 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings.

Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning

Jieping Ye, Zhi-Hua Zhou, Ying-Xin Li, 2009, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Comments on the Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion

Jieping Ye, 2008, J. Mach. Learn. Res..

Spatial interest pixels (SIPs): useful low-level features of visual media data

Jieping Ye, Qi Li, Chandra Kambhamettu, 2003, Third IEEE International Conference on Data Mining.

The Sixth International Conference on Machine Learning and Applications, ICMLA 2007, Cincinnati, Ohio, USA, 13-15 December 2007

Jieping Ye, Seref Sagiroglu, Lukasz Kurgan, 2008, ICMLA.

Accelerated singular value thresholding for matrix completion

Jieping Ye, Yao Hu, Debing Zhang, 2012, KDD.

DBUS: Human Driving Behavior Understanding System

Jieping Ye, Zhengping Che, Yiping Meng, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Discriminant kernel and regularization parameter learning via semidefinite programming

Jieping Ye, Jianhui Chen, Shuiwang Ji, 2007, ICML '07.

Image Cosegmentation via Multi-task Learning

Baoxin Li, Qiang Zhang, Jiayu Zhou, 2014, BMVC.

Identifying Genetic Risk Factors via Sparse Group Lasso with Group Graph Structure pdf

Paul M. Thompson, Jieping Ye, Tao Yang, 2017, ArXiv.

Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee pdf

Jieping Ye, Rong Jin, Xiaomin Song, 2019, AAAI.

Graph-Based Semi-Supervised Learning with Non-ignorable Non-response

Jieping Ye, Hongtu Zhu, Haibo Zhou, 2019, NeurIPS.

Linear Convergence of Variance-Reduced Projected Stochastic Gradient without Strong Convexity pdf

Jieping Ye, Pinghua Gong, Pinghua Gong, 2014, ArXiv.

Efficient Approximate Solutions to Mutual Information Based Global Feature Selection

Sethuraman Panchanathan, Jieping Ye, Prasanth Lade, 2015, 2015 IEEE International Conference on Data Mining.

Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis

Jing Li, Jieping Ye, Adam Fleisher, 2011, NIPS.

Identifying Genetic Risk Factors for Alzheimer's Disease via Shared Tree-Guided Feature Learning Across Multiple Tasks

Jieping Ye, Deng Cai, Xiaofei He, 2018, IEEE Transactions on Knowledge and Data Engineering.

A bag-of-words approach for Drosophila gene expression pattern annotation

Jieping Ye, Zhi-Hua Zhou, Ying-Xin Li, 2009, BMC Bioinformatics.

Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline

Paul M. Thompson, Jie Zhang, Qingyang Li, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

A shared-subspace learning framework for multi-label classification

Jieping Ye, Lei Tang, Shuiwang Ji, 2010, TKDD.

Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets

Jieping Ye, Jie Wang, Jieping Ye, 2014, NIPS.

Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation

Sethuraman Panchanathan, Jieping Ye, Vineeth N. Balasubramanian, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Detection of number of components in CANDECOMP/PARAFAC models via minimum description length

Jieping Ye, Lei Huang, Kefei Liu, 2016, Digit. Signal Process..

Heterogeneous data fusion for alzheimer's disease study

Jing Li, Jieping Ye, Gene E. Alexander, 2008, KDD.

Low-Rank and Sparse Multi-task Learning

Jiayu Zhou, Jieping Ye, Jianhui Chen, 2014, Low-Rank and Sparse Modeling for Visual Analysis.

Multi-Stage Dantzig Selector

Jieping Ye, Peter Wonka, Ji Liu, 2010, NIPS.

Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis

Jieping Ye, Shuiwang Ji, Tao Zeng, 2020, IEEE Transactions on Big Data.

Learning to Estimate the Travel Time

Zheng Wang, Jieping Ye, Kun Fu, 2018, KDD.

Efficient Mixed-Norm Regularization: Algorithms and Safe Screening Methods pdf

Jieping Ye, Jun Liu, Jie Wang, 2013, ArXiv.

On the supply curve of ride-hailing systems

Jieping Ye, Yafeng Yin, Zhengtian Xu, 2019 .

Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment

Paul M. Thompson, Jie Zhang, Qingyang Li, 2016, MICCAI.

GPCA: an efficient dimension reduction scheme for image compression and retrieval

Jieping Ye, Qi Li, Ravi Janardan, 2004, KDD.

Computational analysis of drosophila gene expression pattern images

Jieping Ye, Shuiwang Ji, 2010 .

TEXT AND DATA MINING FOR BIOMEDICAL DISCOVERY- SESSION INTRODUCTION

Jieping Ye, Casey S. Greene, Kevin Bretonnel Cohen, 2012, PSB 2012.

Efficient model selection for regularized linear discriminant analysis

Jieping Ye, Jinbo Bi, Qi Li, 2006, CIKM '06.

Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems

Jieping Ye, Jieping Ye, 2005, J. Mach. Learn. Res..

A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems

Jieping Ye, Changshui Zhang, Jianhua Huang, 2013, ICML.

Efficient nonconvex sparse group feature selection via continuous and discrete optimization

Jieping Ye, Xiaotong Shen, Shuo Xiang, 2015, Artif. Intell..

Deep Reinforcement Learning with Applications in Transportation

Jieping Ye, Jian Tang, Zhiwei Qin, 2019, KDD.

A convex formulation for learning shared structures from multiple tasks

Jieping Ye, Lei Tang, Jianhui Chen, 2009, ICML '09.

Clustered Multi-Task Learning Via Alternating Structure Optimization

Jiayu Zhou, Jieping Ye, Jianhui Chen, 2011, NIPS.

AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates

Jieping Ye, Jian Tang, Zhiyuan Xu, 2020, AAAI.

TINET: Learning Invariant Networks via Knowledge Transfer

Jieping Ye, Chen Luo, Lu-An Tang, 2018, KDD.

Adaptive Distance Metric Learning for Clustering

Jieping Ye, Huan Liu, Zheng Zhao, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Machine Learning Approaches for the Neuroimaging Study of Alzheimer's Disease

Jing Li, Jieping Ye, Kewei Chen, 2011, Computer.

Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data

Jing Li, Jieping Ye, Adam Fleisher, 2009, NIPS.

Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence Active Learning from Relative Queries

Fei Wang, Jieping Ye, Ian Davidson, 2022 .

From micro to macro: data driven phenotyping by densification of longitudinal electronic medical records

Fei Wang, Jiayu Zhou, Jieping Ye, 2014, KDD.

Regularized discriminant analysis for high dimensional, low sample size data

Jieping Ye, Tie Wang, Jieping Ye, 2006, KDD '06.

A transfer learning approach for network modeling

Jieping Ye, Li Yao, Xia Wu, 2012, IIE transactions : industrial engineering research & development.

Object Detection in 20 Years: A Survey pdf

Jieping Ye, Zhenwei Shi, Zhengxia Zou, 2019, Proceedings of the IEEE.

Multiple Stages Classification of Alzheimer’s Disease Based on Structural Brain Networks Using Generalized Low Rank Approximations (GLRAM)

Paul M. Thompson, Jieping Ye, Yalin Wang, 2014, MICCAI 2014.

A Taxi Order Dispatch Model based On Combinatorial Optimization

Jieping Ye, Tao Hu, Junying Zhang, 2017, KDD.

Matrix-variate and higher-order probabilistic projections

Jieping Ye, Jinbo Bi, Shipeng Yu, 2011, Data Mining and Knowledge Discovery.

Guaranteed Sparse Recovery under Linear Transformation

Jieping Ye, Ji Liu, Lei Yuan, 2013, ICML.

Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis

Jieping Ye, Qian Sun, Shuiwang Ji, 2015, IEEE Transactions on Big Data.

2-Dimensional Singular Value Decomposition for 2D Maps and Images

Chris H. Q. Ding, Jieping Ye, C. Ding, 2005, SDM.

An accelerated gradient method for trace norm minimization

Jieping Ye, Shuiwang Ji, Jieping Ye, 2009, ICML '09.

A Reconstruction Error Based Framework for Multi-Label and Multi-View Learning

Jieping Ye, Ian Davidson, Buyue Qian, 2015, IEEE Transactions on Knowledge and Data Engineering.

PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions pdf

Jieping Ye, Xiangliang Zhang, Ji Liu, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Efficient Methods for Overlapping Group Lasso

Jieping Ye, Jun Liu, Lei Yuan, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-source learning with block-wise missing data for Alzheimer's disease prediction

Paul M. Thompson, Jieping Ye, Yalin Wang, 2013, KDD.

Modeling disease progression via multi-task learning

Jiayu Zhou, Jieping Ye, Jun Liu, 2013, NeuroImage.

The Fifth International Conference on Machine Learning and Applications, ICMLA 2006, Orlando, Florida, USA, 14-16 December 2006

Jieping Ye, Lukasz Kurgan, Ying Liu, 2006, ICMLA.

Automated Gene Expression Pattern Annotation in the Mouse Brain

Jieping Ye, Shuiwang Ji, Tao Zeng, 2014, Pacific Symposium on Biocomputing.

Efficient Recovery of Jointly Sparse Vectors

Jieping Ye, Liang Sun, Jianhui Chen, 2009, NIPS.

Template-guided Functional Network Identification via Supervised Dictionary Learning

Yu Zhao, Jieping Ye, Tianming Liu, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Generalization Bounds for Representative Domain Adaptation pdf

Lei Zhang, Jieping Ye, Chao Zhang, 2014, ArXiv.

Discriminant Analysis for Dimensionality Reduction: An Overview of Recent Developments

Jieping Ye, Shuiwang Ji, Jieping Ye, 2010 .

Learning the Optimal Neighborhood Kernel for Classification

Jieping Ye, Jianhui Chen, Jun Liu, 2009, IJCAI.

Scaling Up Sparse Support Vector Machine by Simultaneous Feature and Sample Reduction pdf

Jieping Ye, Deng Cai, Xiaofei He, 2016, ICML.

Margin Based PU Learning

Jieping Ye, Zongben Xu, Ming Lin, 2018, AAAI.

A new optimization criterion for generalized discriminant analysis on undersampled problems

Jieping Ye, Haesun Park, Cheong Hee Park, 2003, Third IEEE International Conference on Data Mining.

Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures

Jie Zhang, Paul M. Thompson, Qingyang Li, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip pdf

Jieping Ye, Matthew S. Nokleby, Ishan Jindal, 2017, ArXiv.

Multi-objective Multi-view Spectral Clustering via Pareto Optimization

Jieping Ye, Ian Davidson, Buyue Qian, 2013, SDM.

DeepSD: Supply-Demand Prediction for Online Car-Hailing Services Using Deep Neural Networks

Wei Cao, Jieping Ye, Dong Wang, 2017, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).

Multiple Structure Alignment and Consensus Identification for Proteins

Jieping Ye, Ravi Janardan, Ivaylo Ilinkin, 2006, WABI.

GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning pdf

Jieping Ye, Xiangliang Zhang, Ji Liu, 2018, ArXiv.

Extracting shared subspace for multi-label classification

Jieping Ye, Lei Tang, Shuiwang Ji, 2008, KDD.

Multi-Task Learning for Spatio-Temporal Event Forecasting

Jieping Ye, Chang-Tien Lu, Naren Ramakrishnan, 2015, KDD.

Predict Risk of Relapse for Patients with Multiple Stages of Treatment of Depression

Jieping Ye, Pinghua Gong, Zhi Nie, 2016, KDD.

Hypergraph spectral learning for multi-label classification

Jieping Ye, Liang Sun, Shuiwang Ji, 2008, KDD.

Kernel Learning for Efficiency Maximization in the Conformal Predictions Framework

Sethuraman Panchanathan, Jieping Ye, Vineeth N. Balasubramanian, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

POI Semantic Model with a Deep Convolutional Structure pdf

Ji Zhao, Jieping Ye, Li Ma, 2019, ArXiv.

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

Jieping Ye, Qian Sun, Ivan Montiel, 2014, Bioinform..

Moreau-Yosida Regularization for Grouped Tree Structure Learning

Jieping Ye, Jun Liu, Jieping Ye, 2010, NIPS.

Compressed Facade Displacement Maps

Jieping Ye, Peter Wonka, Anshuman Razdan, 2009, IEEE Transactions on Visualization and Computer Graphics.

Generalized Low Rank Approximations of Matrices

Jieping Ye, Jieping Ye, 2005, Machine Learning.

Learning incoherent sparse and low-rank patterns from multiple tasks

Jieping Ye, Jianhui Chen, Ji Liu, 2010 .

Matrix completion by Truncated Nuclear Norm Regularization

Xuelong Li, Jieping Ye, Yao Hu, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection

Jieping Ye, Jie Wang, Jieping Ye, 2015, NIPS.

AutoSlim: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates pdf

Jieping Ye, Zhiyuan Xu, Yanzhi Wang, 2019, ArXiv.

Jointly Modeling Label and Feature Heterogeneity in Medical Informatics

Jieping Ye, Jingrui He, Hongxia Yang, 2016, ACM Trans. Knowl. Discov. Data.

Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion

Jieping Ye, Hasan Davulcu, Ming-Jun Lai, 2014, SIAM J. Sci. Comput..

Null space versus orthogonal linear discriminant analysis

Jieping Ye, Tao Xiong, 2006, ICML '06.

Feature Reduction via Generalized Uncorrelated Linear Discriminant Analysis

Jieping Ye, Qi Li, Haesun Park, 2006, IEEE Transactions on Knowledge and Data Engineering.

Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling

Hui Xiong, Jie Zhang, Jieping Ye, 2017, KDD.

The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms

Jieping Ye, Qiang Yang, Lei Chen, 2017, KDD.

Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics

Jieping Ye, Xiang Li, Tianming Liu, 2017, 2016 IEEE International Conference on Big Data (Big Data).

Two-Dimensional Linear Discriminant Analysis

Jieping Ye, Qi Li, Ravi Janardan, 2004, NIPS.

Active Matrix Completion

Jiayu Zhou, Sethuraman Panchanathan, Jieping Ye, 2013, 2013 IEEE 13th International Conference on Data Mining.

Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle pdf

Jieping Ye, Jun Luo, Zhenming Liu, 2019, ArXiv.

Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation

Jing Li, Jieping Ye, Liang Sun, 2009, KDD.

Patch-based surface morphometry feature selection with federated group lasso regression

Paul M. Thompson, Yi Su, Jieping Ye, 2020, Symposium on Medical Information Processing and Analysis.

Fast Overlapping Group Lasso pdf

Jieping Ye, Jun Liu, Jieping Ye, 2010, ArXiv.

Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning

Jieping Ye, Chuhan Wu, Hua Chai, 2019, AAAI.

Multifeature, Sparse-Based Approach for Defects Detection and Classification in Semiconductor Units

Jieping Ye, Sen Yang, Martin W. Braun, 2018, IEEE Transactions on Automation Science and Engineering.

Pairwise protein structure alignment based on an orientation-independent representation of the backbone geometry

Jieping Ye, Songtao Liu, Ravi Janardan, 2003, Proceedings. 15th IEEE International Conference on Tools with Artificial Intelligence.

Multi-class Discriminant Kernel Learning via Convex Programming

Jieping Ye, Jianhui Chen, Shuiwang Ji, 2008, J. Mach. Learn. Res..

Multi-label Multiple Kernel Learning

Jieping Ye, Rong Jin, Liang Sun, 2008, NIPS.

Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching

Jieping Ye, Hongtu Zhu, Zhiwei Qin, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Bi-level multi-source learning for heterogeneous block-wise missing data

Paul M. Thompson, Jieping Ye, Yalin Wang, 2014, NeuroImage.

Adaptive diffusion kernel learning from biological networks for protein function prediction

Jieping Ye, Liang Sun, Shuiwang Ji, 2008, BMC Bioinformatics.

Batch mode active sampling based on marginal probability distribution matching

Sethuraman Panchanathan, Jieping Ye, Ian Davidson, 2012, TKDD.

SVM versus Least Squares SVM

Jieping Ye, Tao Xiong, Jieping Ye, 2007, AISTATS.

Sparse Generalized Functional Linear Model for Predicting Remission Status of Depression Patients

Jiayu Zhou, Jieping Ye, Gayle M. Wittenberg, 2013, Pacific Symposium on Biocomputing.

A Multi-Task Learning Formulation for Survival Analysis

Jieping Ye, Yan Li, Chandan K. Reddy, 2016, KDD.

Deep convolutional neural networks for annotating gene expression patterns in the mouse brain

Jieping Ye, Ravi Mukkamala, Shuiwang Ji, 2015, BMC Bioinformatics.

Recognizing Social Constructs from Textual Conversation

Jieping Ye, Chitta Baral, Richard B. Scherl, 2015, NAACL.

Integrating Convolutional Neural Networks and Multi-Task Dictionary Learning for Cognitive Decline Prediction with Longitudinal Images.

Jieping Ye, Jie Zhang, Yalin Wang, 2020, Journal of Alzheimer's disease : JAD.

Simultaneous feature and feature group selection through hard thresholding

Jieping Ye, Tao Yang, Shuo Xiang, 2014, KDD.

Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions pdf

Paul M. Thompson, Qingyang Li, Jieping Ye, 2016, MICCAI.

Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis

Paul M. Thompson, Arthur W. Toga, Jieping Ye, 2013, NeuroImage.

Robust Self-Tuning Sparse Subspace Clustering

Jiayu Zhou, Jieping Ye, Gao Cong, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds

Sethuraman Panchanathan, Jieping Ye, Qian Sun, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-task Vector Field Learning

Jieping Ye, Xiaofei He, Sen Yang, 2012, NIPS.

Customer behavioural modelling of order cancellation in coupled ride-sourcing and taxi markets

Jieping Ye, Dan Wang, Wei Liu, 2020, Transportation Research Part B: Methodological.

A Small Sphere and Large Margin Approach for Novelty Detection Using Training Data with Outliers

Jieping Ye, Mingrui Wu, Jieping Ye, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint

Jieping Ye, Ji Liu, Ryohei Fujimaki, 2013, ICML.

Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining

Jieping Ye, Matthew S. Nokleby, Zhiwei Qin, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Transfer Learning for Bilingual Content Classification

Anmol Bhasin, Jieping Ye, Qian Sun, 2015, KDD.

Fused Lasso Screening Rules via the Monotonicity of Subdifferentials

Jieping Ye, Wei Fan, Jie Wang, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Efficient Sparse Group Feature Selection via Nonconvex Optimization

Jieping Ye, Shuo Xiang, Xiaoshen Tong, 2012, ICML.

Transportation: A Data Driven Approach

Jieping Ye, 2019, KDD.

Tensor Completion for Estimating Missing Values in Visual Data

Jieping Ye, Peter Wonka, Ji Liu, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Image-level and group-level models for Drosophila gene expression pattern annotation

Jieping Ye, Qian Sun, Shuiwang Ji, 2013, BMC Bioinformatics.

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

Jieping Ye, Jianhui Chen, Sudhir Kumar, 2008, TKDD.

Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming

Jieping Ye, Jianhui Chen, Shuiwang Ji, 2007, KDD '07.

Multi-stage multi-task feature learning

Jieping Ye, Changshui Zhang, Pinghua Gong, 2012, J. Mach. Learn. Res..

Projection onto A Nonnegative Max-Heap

Jieping Ye, Liang Sun, Jun Liu, 2011, NIPS.

Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis

Jieping Ye, Tao Xiong, Jieping Ye, 2006, J. Mach. Learn. Res..

Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction

Jieping Ye, Xianfeng Tang, Jintao Ke, 2018, AAAI.

Tensor Completion for Estimating Missing Values in Visual Data

Jieping Ye, Peter Wonka, Ji Liu, 2013, IEEE Trans. Pattern Anal. Mach. Intell..

A Safe Screening Rule for Sparse Logistic Regression

Jiayu Zhou, Jieping Ye, Peter Wonka, 2013, NIPS.

Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data

Paul M. Thompson, Jieping Ye, Yalin Wang, 2012, KDD.

Pruning Decision Trees via Max-Heap Projection

Jieping Ye, Naren Ramakrishnan, Wei Fan, 2017, SDM.

Flexible Online Task Assignment in Real-Time Spatial Data

Jieping Ye, Lei Chen, Bolin Ding, 2017, Proc. VLDB Endow..

Batch Mode Active Sampling Based on Marginal Probability Distribution Matching

Sethuraman Panchanathan, Jieping Ye, Ian Davidson, 2013, ACM Trans. Knowl. Discov. Data.

Modeling functional network dynamics via multi-scale dictionary learning and network continuums

Jieping Ye, Jinglei Lv, Tianming Liu, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Big Data at Didi Chuxing

Jieping Ye, 2018, SIGIR.

AHINE: Adaptive Heterogeneous Information Network Embedding

Jieping Ye, Zang Li, Yucheng Lin, 2019, 2020 IEEE International Conference on Knowledge Graph (ICKG).

Rank-One Matrix Pursuit for Matrix Completion

Jieping Ye, Hasan Davulcu, Ming-Jun Lai, 2014, ICML.

Biological Image Analysis via Matrix Approximation

Jieping Ye, Sudhir Kumar, Ravi Janardan, 2009, Encyclopedia of Data Warehousing and Mining.

Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting

Jieping Ye, Xu Geng, Qiang Yang, 2019, AAAI.

Technology-design co-optimization of resistive cross-point array for accelerating learning algorithms on chip

Shimeng Yu, Yu Cao, Jieping Ye, 2015, 2015 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning

Jun Wang, Jieping Ye, Yaodong Yang, 2019, WWW.

A multi-task learning formulation for predicting disease progression

Jiayu Zhou, Jieping Ye, Jun Liu, 2011, KDD.

Large-Scale Targeted Marketing by Supervised PageRank with Seeds

Jieping Ye, Wei Tan, Jun Xie, 2018, MLDM.

Parallel Programming of Resistive Cross-point Array for Synaptic Plasticity

Shimeng Yu, Yu Cao, Jieping Ye, 2014, BICA.

Optimal Passenger-Seeking Strategy of Taxi Drivers with e-Hailing

Jieping Ye, Hongtu Zhu, Xuan Di, 2019 .

BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification

Sethuraman Panchanathan, Jieping Ye, Vineeth N. Balasubramanian, 2015, KDD.

On-Chip Sparse Learning Acceleration With CMOS and Resistive Synaptic Devices

Shimeng Yu, Yu Cao, Jieping Ye, 2015, IEEE Transactions on Nanotechnology.

Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching

Jieping Ye, Weinan Zhang, Ming Zhou, 2019, CIKM.

Robust multi-task feature learning

Jieping Ye, Changshui Zhang, Pinghua Gong, 2012, KDD.

Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning

Paul Tseng, Jieping Ye, Shuiwang Ji, 2010, SIAM J. Optim..

A Deep Value-network Based Approach for Multi-Driver Order Dispatching

Zhe Xu, Jieping Ye, Hongtu Zhu, 2019, KDD.

Human-Centric Urban Transit Evaluation and Planning

Yu Zheng, Jieping Ye, Jun Luo, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting pdf

Jieping Ye, Qiang Yang, Lingyu Zhang, 2019, Sustainability.

Melancholic Depression Prediction by Identifying Representative Features in Metabolic and Microarray Profiles with Missing Values

Qingyang Li, Jieping Ye, Gayle M. Wittenberg, 2015, Pacific Symposium on Biocomputing.

Sparse methods for biomedical data

Jieping Ye, Jun Liu, Jieping Ye, 2012, SKDD.

Hierarchical Interactions Model for Predicting Mild Cognitive Impairment (MCI) to Alzheimer's Disease (AD) Conversion

Jieping Ye, Changshui Zhang, Pinghua Gong, 2014, PloS one.

Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting

Jieping Ye, Liang Zhao, Chang-Tien Lu, 2016, KDD.

Coupled Support Vector Machines for Supervised Domain Adaptation

Sethuraman Panchanathan, Jieping Ye, Prasanth Lade, 2015, ACM Multimedia.

Modelling drivers’ working and recharging schedules in a ride-sourcing market with electric vehicles and gasoline vehicles

Jieping Ye, Jintao Ke, Xuekai Cen, 2019, Transportation Research Part E: Logistics and Transportation Review.

Parallel Architecture With Resistive Crosspoint Array for Dictionary Learning Acceleration

Shimeng Yu, Yu Cao, Jieping Ye, 2015, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis

Xiang Li, Jieping Ye, Quanzheng Li, 2017, MLMI@MICCAI.

Jieping Ye, Shuiwang Ji, Jieping Ye, 2008, IEEE Transactions on Knowledge and Data Engineering.

Spatial interest pixels (SIPs): useful low-level features of visual media data

Jieping Ye, Qi Li, Chandra Kambhamettu, 2006, Multimedia Tools and Applications.

Patient Risk Prediction Model via Top-k Stability Selection

Jimeng Sun, Jiayu Zhou, Jieping Ye, 2013, SDM.

A Convex Formulation for Learning a Shared Predictive Structure from Multiple Tasks

Jieping Ye, Lei Tang, Jianhui Chen, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Order Dispatch in Price-aware Ridesharing

Jieping Ye, Lei Chen, Libin Zheng, 2018, Proc. VLDB Endow..

Seeing the Forest from the Trees in Two Looks: Matrix Sketching by Cascaded Bilateral Sampling pdf

Hui Xiong, Jieping Ye, Eric P. Xing, 2016, ArXiv.

Learning Adversarial Networks for Semi-Supervised Text Classification via Policy Gradient

Jieping Ye, Yan Li, Jieping Ye, 2018, KDD.

Generalization Bounds for Domain Adaptation

Lei Zhang, Jieping Ye, Chao Zhang, 2012, NIPS.

Generalized Low Rank Approximations of Matrices

Jieping Ye, Jieping Ye, 2004, Machine Learning.

Multi-feature sparse-based defect detection and classification in semiconductor units

Jieping Ye, Lina J. Karam, Martin Oberkönig, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Lei Wang, Jieping Ye, Huan Liu, 2013, IEEE Transactions on Knowledge and Data Engineering.

Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis

Jieping Ye, Ian Davidson, Xiang Li, 2016, KDD.

Geodesic Distance Function Learning via Heat Flow on Vector Fields

Jieping Ye, Xiaofei He, Ji Yang, 2014, ICML.

Automated annotation of developmental stages of Drosophila embryos in images containing spatial patterns of expression

Cheng Pan, Jieping Ye, Zhi-Hua Zhou, 2013, Bioinform..

Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network pdf

Jieping Ye, Jintao Ke, Zhengfei Zheng, 2019, Transportation Research Part C: Emerging Technologies.

Adaptive Appearance Based Face Recognition

Jieping Ye, Min Li, Chandra Kambhamettu, 2008, Int. J. Artif. Intell. Tools.

CIKM 2019 Workshop on Artificial Intelligence in Transportation (AI in transportation)

Jieping Ye, Weinan Zhang, Haiming Jin, 2019, CIKM.

An optimization criterion for generalized discriminant analysis on undersampled problems

Jieping Ye, Haesun Park, Cheong Hee Park, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Integrating low-rank and group-sparse structures for robust multi-task learning

Jiayu Zhou, Jieping Ye, Jianhui Chen, 2011, KDD.

Efficient approximation of minimum energy curves with interpolatory constraints

Jieping Ye, Ruibin Qu, Jieping Ye, 2000, Appl. Math. Comput..

Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding

Jieping Ye, Jiawei Han, Chao Zhang, 2018, 2018 IEEE 34th International Conference on Data Engineering (ICDE).

Transfer Learning Framework for Early Detection of Fatigue Using Non-invasive Surface Electromyogram Signals (SEMG)

Sethuraman Panchanathan, Jieping Ye, Rita Chattopadhyay, 2011, AAAI Spring Symposium: Computational Physiology.

Identifying biologically relevant genes via multiple heterogeneous data sources

Jieping Ye, Huan Liu, Zheng Zhao, 2008, KDD.

Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression pdf

Paul M. Thompson, Jie Zhang, Qingyang Li, 2017, ArXiv.

Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis

Jieping Ye, Liang Sun, Shuiwang Ji, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Safe Screening With Variational Inequalities and Its Applicaiton to LASSO pdf

Jieping Ye, Zheng Zhao, Jun Liu, 2013, ICML.

An evaluation of identity representability of facial expressions using feature distributions

Jieping Ye, Qi Li, Chandra Kambhamettu, 2008, Neurocomputing.

Simultaneous pursuit of sparseness and rank structures for matrix decomposition

Jieping Ye, Qi Yan, Xiaotong Shen, 2015, J. Mach. Learn. Res..

Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting

Jieping Ye, Liang Zhao, Chang-Tien Lu, 2017, IEEE Transactions on Knowledge and Data Engineering.

Structural Graphical Lasso for Learning Mouse Brain Connectivity

Jieping Ye, Qian Sun, Ian Davidson, 2015, KDD.

Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease

Paul M. Thompson, Qingyang Li, Jieping Ye, 2019, HBAI@IJCAI.

Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction

Jieping Ye, Naren Ramakrishnan, John S. Brownstein, 2015, KDD.

LDA/QR: an efficient and effective dimension reduction algorithm and its theoretical foundation

Jieping Ye, Qi Li, Jieping Ye, 2004, Pattern Recognit..

FeaFiner: biomarker identification from medical data through feature generalization and selection

Fei Wang, Jimeng Sun, Jiayu Zhou, 2013, KDD.

A Unified Approach to Route Planning for Shared Mobility

Jieping Ye, Lei Chen, Zimu Zhou, 2018, Proc. VLDB Endow..

Multiple structure alignment and consensus identification for proteins

Jieping Ye, Ravi Janardan, Ivaylo Ilinkin, 2006, BMC Bioinformatics.

InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms

Bo An, Jieping Ye, Hongtu Zhu, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

HONOR: Hybrid Optimization for NOn-convex Regularized problems

Jieping Ye, Pinghua Gong, Pinghua Gong, 2015, NIPS.

Detecting genetic risk factors for Alzheimer's disease in whole genome sequence data via Lasso screening

Paul M. Thompson, Li Liu, Jieping Ye, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

A geometric viewpoint of manifold learning

Jieping Ye, Xiaofei He, Binbin Lin, 2015, Applied Informatics.

Approximation of minimum energy curves

Jieping Ye, Ruibin Qu, Jieping Ye, 2000, Appl. Math. Comput..

Unified and Contrasting Cuts in Multiple Graphs: Application to Medical Imaging Segmentation

Jieping Ye, Ian Davidson, Owen T. Carmichael, 2015, KDD.

A Distributed Computing Platform for fMRI Big Data Analytics

Jieping Ye, Tianming Liu, Xiang Li, 2019, IEEE Transactions on Big Data.

Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction

Jieping Ye, Jianhui Chen, Qi Li, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Querying discriminative and representative samples for batch mode active learning

Jieping Ye, Zheng Wang, Jieping Ye, 2013, KDD.

Modeling Task FMRI Data via Supervised Stochastic Coordinate Coding

Wei Zhang, Jieping Ye, Jinglei Lv, 2015, MICCAI.

A unified framework for generalized Linear Discriminant Analysis

Jieping Ye, Shuiwang Ji, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices

Jieping Ye, Jie Wang, Jieping Ye, 2015, ICML.

Efficient Kernel Discriminant Analysis via QR Decomposition

Jieping Ye, Qi Li, Vladimir Cherkassky, 2004, NIPS.

Scaling SVM and Least Absolute Deviations via Exact Data Reduction

Jieping Ye, Peter Wonka, Jie Wang, 2013, ICML.

Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks

Jieping Ye, Jianhui Chen, Ji Liu, 2010, TKDD.

A Multi-Stage Framework for Dantzig Selector and LASSO

Jieping Ye, Peter Wonka, Ji Liu, 2012, J. Mach. Learn. Res..

Multi-task Representation Learning for Travel Time Estimation

Zheng Wang, Yan Liu, Jieping Ye, 2018, KDD.

Large-scale sparse logistic regression

Jieping Ye, Jianhui Chen, Jun Liu, 2009, KDD.

Absolute Fused Lasso and Its Application to Genome-Wide Association Studies

Jieping Ye, Jun Liu, Tao Yang, 2016, KDD.

A least squares formulation for canonical correlation analysis

Jieping Ye, Liang Sun, Shuiwang Ji, 2008, ICML '08.

Adaptive Appearance Based Face Recognition

Jieping Ye, Min Li, Qi Li, 2006, 2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06).

Boosting classification accuracy of diffusion MRI derived brain networks for the subtypes of mild cognitive impairment using higher order singular value decomposition

Paul M. Thompson, Jiayu Zhou, Jieping Ye, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Feature extraction via generalized uncorrelated linear discriminant analysis

Jieping Ye, Qi Li, Haesun Park, 2004, ICML.

Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach

Zhe Xu, Jieping Ye, Qiang Li, 2018, KDD.

Recommendation-based Team Formation for On-demand Taxi-calling Platforms

Jieping Ye, Yan Liu, Yongxin Tong, 2019, CIKM.

An efficient algorithm for a class of fused lasso problems

Jieping Ye, Jun Liu, Lei Yuan, 2010, KDD.

Nonconvex One-bit Single-label Multi-label Learning pdf

Jieping Ye, Ming Lin, Shuang Qiu, 2017, ArXiv.

Predictive modeling of treatment resistant depression using data from STAR*D and an independent clinical study

Jieping Ye, Zhi Nie, Vaibhav A Narayan, 2018, PloS one.

Evaluating the predictive power of multivariate tensor-based morphometry in Alzheimer's disease progression via convex fused sparse group Lasso

Jiayu Zhou, Jieping Ye, Yalin Wang, 2014, Medical Imaging.

Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection

Jieping Ye, Shuiwang Ji, Jieping Ye, 2008, IEEE Transactions on Neural Networks.

Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning

Dongyun Yi, Jieping Ye, Yang Yang, 2017, KDD.

A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data

Jing Li, Jieping Ye, Adam Fleisher, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Computational Drug Discovery with Dyadic Positive-Unlabeled Learning

Ping Zhang, Fei Wang, Jieping Ye, 2017, SDM.

Multi-Task Learning based Survival Analysis for Predicting Alzheimer's Disease Progression with Multi-Source Block-wise Missing Data

Jiayu Zhou, Jieping Ye, Yan Li, 2018, SDM.

Perspective Analysis for Online Debates

Jieping Ye, Hasan Davulcu, Sukru Tikves, 2012, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

Multi-Task Feature Learning Via Efficient l2, 1-Norm Minimization pdf

Jieping Ye, Shuiwang Ji, Jun Liu, 2009, UAI.

Automated annotation of Drosophila gene expression patterns using a controlled vocabulary

Jieping Ye, Rong Jin, Liang Sun, 2008, Bioinform..

Embedded sparse representation of fMRI data via group-wise dictionary optimization

Paul M. Thompson, Jieping Ye, Dajiang Zhu, 2016, SPIE Medical Imaging.

Efficient Sparse Generalized Multiple Kernel Learning

Zenglin Xu, Jieping Ye, Michael R. Lyu, 2011, IEEE Transactions on Neural Networks.

Multi-Grained Attention Networks for Single Image Super-Resolution pdf

Jieping Ye, Hongyi Liu, Zhengxia Zou, 2019, IEEE Transactions on Circuits and Systems for Video Technology.

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30 - May 2, 2015

Jieping Ye, Suresh Venkatasubramanian, Suresh Venkatasubramanian, 2015, SDM.

Non-monotonic feature selection

Zenglin Xu, Jieping Ye, Rong Jin, 2009, ICML '09.

Efficient multi-task feature learning with calibration

Jiayu Zhou, Jieping Ye, Wei Fan, 2014, KDD.

Mitigating effects of non-ideal synaptic device characteristics for on-chip learning

Shimeng Yu, Yu Cao, Jieping Ye, 2015, 2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis

Jieping Ye, Pinghua Gong, Pinghua Gong, 2015, ICML.

Sparse non-negative tensor factorization using columnwise coordinate descent

Jieping Ye, Peter Wonka, Ji Liu, 2012, Pattern Recognit..

Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach

Jieping Ye, Lei Chen, Bowen Du, 2018, SIGMOD Conference.

Interest point detection using imbalance oriented selection

Jieping Ye, Qi Li, Chandra Kambhamettu, 2008, Pattern Recognit..

Training SVM with indefinite kernels

Jieping Ye, Jianhui Chen, Jieping Ye, 2008, ICML '08.

A least squares formulation for a class of generalized eigenvalue problems in machine learning

Jieping Ye, Liang Sun, Shuiwang Ji, 2009, ICML '09.

Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images pdf

Jie Zhang, Qingyang Li, Richard J. Caselli, 2017, ArXiv.

Exploring spatial patterns of gene expression from Fruit Fly embryogenesis on the iPhone

Jieping Ye, Sudhir Kumar, Michael McCutchan, 2012, Bioinform..

Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization

Xuelong Li, Jieping Ye, Yao Hu, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Sparse trace norm regularization

Jieping Ye, Jianhui Chen, Jieping Ye, 2012, Comput. Stat..

Boosting brain connectome classification accuracy in Alzheimer's disease using higher-order singular value decomposition

Paul M. Thompson, Jiayu Zhou, Jieping Ye, 2015, Front. Neurosci..

On the supply curve of ride-hailing systems

Jieping Ye, Yafeng Yin, Zhengtian Xu, 2020, Transportation Research Part B: Methodological.

Feature selective temporal prediction of Alzheimer's disease progression using hippocampus surface morphometry

Jiayu Zhou, Jieping Ye, Yalin Wang, 2017, Brain and behavior.

Linear projection methods in face recognition under unconstrained illuminations: a comparative study

Jieping Ye, Chandra Kambhamettu, Qi Li, 2004, CVPR 2004.

The Second Order Linear Model

Jieping Ye, Shuang Qiu, Bin Hong, 2017, 1703.00598.

A universal distribution law of network detour ratios

Hai Yang, Jieping Ye, Jintao Ke, 2018, Transportation Research Part C: Emerging Technologies.

Big Data Analytical Approaches to the NACC Dataset: Aiding Preclinical Trial Enrichment

Jieping Ye, Tao Yang, Pinghua Gong, 2017, Alzheimer disease and associated disorders.

Classification of Drosophila embryonic developmental stage range based on gene expression pattern images.

Jieping Ye, Sudhir Kumar, Qi Li, 2006, Computational systems bioinformatics. Computational Systems Bioinformatics Conference.

Matrix Inequalities: A Symbolic Procedure to Determine Convexity Automatically

Jieping Ye, Robert E. Skelton, Juan F. Camino, 2003, Integral Equations and Operator Theory.

Text and data mining for biomedical discovery.

Jieping Ye, Udo Hahn, Kevin Bretonnel Cohen, 2013, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

Evolution‐informed modeling improves outcome prediction for cancers

Jieping Ye, Tao Yang, Yung Chang, 2016, Evolutionary applications.

Dictionary LASSO: Guaranteed Sparse Recovery under Linear Transformation

Jieping Ye, Lei Yuan, Ji Liu, 2013 .