Jieping Ye

发表

Linear Convergence of Variance-Reduced Stochastic Gradient without Strong Convexity

Pinghua Gong, Jieping Ye, 2014 .

An accelerated gradient method for trace norm minimization

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

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.

Generalization Bounds for Domain Adaptation

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

Joint Transfer and Batch-mode Active Learning

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

Large-scale sparse logistic regression

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

Task fMRI data analysis based on supervised stochastic coordinate coding

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

A multi-task learning formulation for predicting disease progression

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

Two-Dimensional Singular Value Decomposition ( 2 DSVD ) for 2 D Maps and Images

C. Ding, Jieping Ye, 2005 .

Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data

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

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

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

Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data

Jieping Ye, V. Lobanov, V. Narayan, 2012, BMC Neurology.

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.

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

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

Hypergraph spectral learning for multi-label classification

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

Efficient Methods for Overlapping Group Lasso

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

Two-Dimensional Linear Discriminant Analysis

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

Multi-task Vector Field Learning

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

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.

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

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

Clustered Multi-Task Learning Via Alternating Structure Optimization

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

Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach

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

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

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

An efficient algorithm for a class of fused lasso problems

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

Safe Screening With Variational Inequalities and Its Applicaiton to LASSO pdf

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

Multi-Stage MultiTask Feature Learning ∗

Pinghua Gong, Jieping Ye, Changshui Zhang, 2012 .

Generalized Low Rank Approximations of Matrices

Jieping Ye, Jieping Ye, 2004, Machine Learning.

An efficient ADMM algorithm for multidimensional anisotropic total variation regularization problems

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

Robust multi-task feature learning

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

Generalized Low Rank Approximations of Matrices

Jieping Ye, Jieping Ye, 2005, Machine Learning.

Evolutionary diagnosis method for variants in personal exomes

Vanessa E. Gray, Maxwell D. Sanderford, Jieping Ye, 2012, Nature Methods.

Evolution‐informed modeling improves outcome prediction for cancers

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

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..

Compressive Sensing for Computer Vision and Image Processing by Naveen Kulkarni A Thesis Presented in Partial Fulfillment of the Requirements for the Degree Master of Science Approved May 2011 by the Graduate Supervisory Committee: Baoxin Li, Chair

Arunabha Sen, Jieping Ye, Baoxin Li, 2022 .

Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,125 Individuals from the ADNI and OASIS Databases

Yalin Wang, Jieping Ye, P. Thompson, 2020, bioRxiv.

Comparison of nine tractography algorithms for detecting abnormal structural brain networks in Alzheimer’s disease

Cassandra D. Leonardo, Yalin Wang, Jieping Ye, 2015, Front. Aging Neurosci..

Discover Temporal Dynamics of Biomarkers in Predictive Modeling with Longitudinal Data

Jieping Ye, Jimeng Sun, Fei Wang, 2013 .

Jieping Ye, T. Xiong, R. Janardan, 2004, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Offline and Online Adaboost for Detecting Anatomic Structures by Hong Wu A Thesis Presented in Partial Fulfillment of the Requirements for the Degree Master of Science Approved July 2011 by the Graduate Supervisory Committee: Jianming Liang, Chair

Jieping Ye, Jianming Liang, Nima Tajbakhsh, 2011 .

FlyExpress 7: An Integrated Discovery Platform To Study Coexpressed Genes Using in Situ Hybridization Images in Drosophila

Rob J. Kulathinal, Maxwell D. Sanderford, Jieping Ye, 2017, G3: Genes, Genomes, Genetics.

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

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

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).

Learning subspace kernels for classification

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

Querying For Relevant People In Online Social Networks by Ke Xu A Thesis Presented in Partial Fulfillment of the Requirements for the Degree Master of Science Approved November 2010 by the Graduate Supervisory Committee: Hari Sundaram, Chair

Jieping Ye, Aisling Kelliher, 2010 .

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.

Discriminant Kernel Learning Discriminant Kernel Learning via Convex Programming

Jieping Ye, 2007 .

Matrix Inequalities: A Symbolic Procedure to Determine Convexity Automatically

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

Metabolomic biosignature differentiates melancholic depressive patients from healthy controls

Jieping Ye, V. Narayan, Tao Yang, 2016, BMC Genomics.

A Unified Model for Differential Expression Analysis of RNA-seq Data via L1-Penalized Linear Regression

Jieping Ye, Li Shen, Hui Jiang, 2016, 1610.04078.

Drosophila Stage Annotation using Sparse Learning Method

Jieping Ye, G. Farin, Baoxin Li, 2012 .

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.

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.

In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle

Jieping Ye, Kaan Kara, Cédric Renggli, 2022, SIGMOD Conference.

Stochastic Gradient Descent without Full Data Shuffle

Jieping Ye, Kaan Kara, Cédric Renggli, 2022, ArXiv.

Tuberculosis Surveillance by Analyzing

Jieping Ye, Xichuan Zhou, Yujie Feng, 2011 .

Evaluation of lattice light shift at mid 10$^{-19}$ uncertainty for a shallow lattice Sr optical clock

Jieping Ye, T. Bothwell, A. Aeppli, 2022, 2210.16374.

Excess noise in highly reflective crystalline mirror coatings

Jieping Ye, E. Oelker, F. Riehle, 2022, 2210.15671.

Tenfold reduction of Brownian noise in high-reflectivity optical coatings

Wei Zhang, Markus Aspelmeyer, Garrett D. Cole, 2013, Nature Photonics.

Querying Discriminative and Representative Samples for Batch Mode Active Learning

Jieping Ye, Z. Wang, 2015, ACM Trans. Knowl. Discov. Data.

Direct comparison of two spin squeezed optical clocks below the quantum projection noise limit

Jieping Ye, C. Kennedy, D. Kedar, 2022, 2211.08621.

Phosphosilicate Fiber-Based Low Quantum Defect Raman Fiber Laser with Ultrahigh Spectral Purity

Jieping Ye, Jiangming Xu, Yang Zhang, 2022, Nanomaterials.

Sparse trace norm regularization

Jieping Ye, Jianhui Chen, 2013, Computational Statistics.

Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks

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

Technology-Design C Array for Acceler

Jieping Ye, Jae-sun Seo, Pai-Yu Chen, 2015 .

Dictionary LASSO: Guaranteed Sparse Recovery under Linear Transformation

Jieping Ye, Lei Yuan, Ji Liu, 2013, 1305.0047.

Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals From the ADNI and OASIS Databases

Yalin Wang, Jieping Ye, P. Thompson, 2020, bioRxiv.

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).

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).

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

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

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.

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

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

Federated Morphometry Feature Selection for Hippocampal Morphometry Associated Beta-Amyloid and Tau Pathology

Yalin Wang, Jieping Ye, P. Thompson, 2021, bioRxiv.

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

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

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

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

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

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

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

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

Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data

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

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

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

Sparse Inverse Covariance Analysis of human brain for Alzheimer's disease study

G. Alexander, Jieping Ye, Jun Liu, 2009, 2009 ICME International Conference on Complex Medical Engineering.

Heterogeneous data fusion for alzheimer's disease study

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

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).

Robust Self-Tuning Sparse Subspace Clustering

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

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

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

AHINE: Adaptive Heterogeneous Information Network Embedding

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

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.

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.

Regularized discriminant analysis for high dimensional, low sample size data

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

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

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

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).

Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation

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

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

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

Computational Drug Discovery with Dyadic Positive-Unlabeled Learning

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

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

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

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

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

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.

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.

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

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

Multi-label Multiple Kernel Learning

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

Automated annotation of Drosophila gene expression patterns using a controlled vocabulary

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

A Synopsis Based Approach for Itemset Frequency Estimation over Massive Multi-Transaction Stream

Gao Cong, Zhen Hai, Ying Zhang, 2021, ACM Trans. Knowl. Discov. Data.

A Distributed Computing Platform for fMRI Big Data Analytics

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

Simultaneous pursuit of sparseness and rank structures for matrix decomposition

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

Robust principal component analysis via capped norms

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

Matrix completion by Truncated Nuclear Norm Regularization

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

A Unified Approach to Route Planning for Shared Mobility

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

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.

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.

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

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

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.

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

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

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

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

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

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

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

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

A geometric viewpoint of manifold learning

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

Geodesic Distance Function Learning via Heat Flow on Vector Fields

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

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

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

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

LSSLP - Local structure sensitive label propagation

Yao Zhao, Zhenfeng Zhu, Jieping Ye, 2016, Inf. Sci..

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.

Adaptive Distance Metric Learning for Clustering

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

Multi-task Survival Analysis

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

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

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

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

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

Tandem pumping architecture enabled high power random fiber laser with near-diffraction-limited beam quality

Jieping Ye, P. Zhou, Jinbao Chen, 2018, Science China Technological Sciences.

Multisource domain adaptation and its application to early detection of fatigue

Jieping Ye, R. Chattopadhyay, I. Davidson, 2012, TKDD.

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

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

Multi-source domain adaptation and its application to early detection of fatigue

Sethuraman Panchanathan, Jieping Ye, Ian Davidson, 2011, KDD.

Fast Laplace Approximation for Sparse Bayesian Spike and Slab Models

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

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.

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

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

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

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

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

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

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

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

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).

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

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

Order Dispatch in Price-aware Ridesharing

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

A Taxi Order Dispatch Model based On Combinatorial Optimization

Jieping Ye, Tao Hu, Junying Zhang, 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.

Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning

Liang Zhao, Naren Ramakrishnan, Feng Chen, 2021, ACM Trans. Knowl. Discov. Data.

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

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

Least squares linear discriminant analysis

Jieping Ye, Jieping Ye, 2007, ICML '07.

Fused Lasso Screening Rules via the Monotonicity of Subdifferentials

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

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

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

Scaling SVM and Least Absolute Deviations via Exact Data Reduction

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

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

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

A shared-subspace learning framework for multi-label classification

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

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

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

Efficient approximation of minimum energy curves with interpolatory constraints

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

Automatic Dialogue Summary Generation for Customer Service

Jieping Ye, Chunyi Liu, Peng Wang, 2019, KDD.

Discriminant Analysis for Dimensionality Reduction: An Overview of Recent Developments

Jieping Ye, Shuiwang Ji, Jieping Ye, 2010 .

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).

Modeling disease progression via multi-task learning

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

Modeling disease progression via fused sparse group lasso

Jiayu Zhou, Jieping Ye, Jun Liu, 2012, KDD.

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.

A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models

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

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

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

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.

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

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

Efficient L1/Lq Norm Regularization pdf

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

Feature grouping and selection over an undirected graph

Jieping Ye, Peter Wonka, Sen Yang, 2012, KDD.

Pairwise Protein Structure Alignment Based on an Orientation-independent Backbone Representation

Jieping Ye, Songtao Liu, Ravi Janardan, 2004, J. Bioinform. Comput. Biol..

Multiple structure alignment and consensus identification for proteins

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

IDR/QR: an incremental dimension reduction algorithm via QR decomposition

Hui Xiong, Jieping Ye, Vipin Kumar, 2004, IEEE Transactions on Knowledge and Data Engineering.

Accelerating Progress Towards Practical Quantum Advantage: A National Science Foundation Project Scoping Workshop

Aaron J. Miller, Tammie L. Borders, J. R. Lowell, 2022 .

A quantum network of clocks

Jieping Ye, L. Jiang, M. Lukin, 2013, Nature Physics.

Efficient Sparse Generalized Multiple Kernel Learning

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

Deep Multi-Task Learning with Adversarial-and-Cooperative Nets

Jieping Ye, Jingrui He, Hanghang Tong, 2019, IJCAI.

A survey on machine learning from few samples

Pinghua Gong, Jieping Ye, Jiang Lu, 2020, Pattern Recognit..

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

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

Object Detection in 20 Years: A Survey pdf

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

D2-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios pdf

Bo Jiang, Jieping Ye, Ying Lu, 2019, ArXiv.

Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding

Y. Wang, P. M. Thompson, J. Zhang, 2021, Medical Image Anal..

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.

Moreau-Yosida Regularization for Grouped Tree Structure Learning

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

Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation

Jing Li, Jieping Ye, Adam Fleisher, 2010, NeuroImage.

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

Jieping Ye, Yanzhi Wang, Xiaolong Ma, 2019, AAAI.

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.

Network Reconstruction Based on Evolutionary-Game Data via Compressive Sensing

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

Multi-class Discriminant Kernel Learning via Convex Programming

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

Adaptive diffusion kernel learning from biological networks for protein function prediction

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

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

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

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

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

Accelerating Progress Towards Practical Quantum Advantage: The Quantum Technology Demonstration Project Roadmap

Aaron J. Miller, Tammie L. Borders, J. R. Lowell, 2022, 2210.14757.

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

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

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.

Finite Domain Constraint Solver Learning

Jieping Ye, Shuiwang Ji, Liang Sun, 2009, IJCAI.

A two-stage linear discriminant analysis via QR-decomposition

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

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.

Sparse methods for biomedical data

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

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.

Tuberculosis Surveillance by Analyzing Google Trends

Jieping Ye, Xichuan Zhou, Yujie Feng, 2011, IEEE Transactions on Biomedical Engineering.

Rank-One Matrix Pursuit for Matrix Completion

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

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).

Efficient multi-task feature learning with calibration

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

Multi-stage multi-task feature learning

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

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

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

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.

Linear Dimensionality Reduction for Multi-label Classification

Jieping Ye, Shuiwang Ji, 2009, IJCAI.

Automatic Detection of Alzheimer's Disease Using Spontaneous Speech Only

Jieping Ye, Jiayu Zhou, Fengyi Tang, 2021, Interspeech.

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

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

Persistent Homology in Sparse Regression and Its Application to Brain Morphometry

Moo K. Chung, Jieping Ye, Jamie L. Hanson, 2014, IEEE Transactions on Medical Imaging.

A transfer learning approach for network modeling

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

SVM versus Least Squares SVM

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

Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks

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

Pure silica fiber Raman gain enabled high-power low-quantum defect fiber laser

Jieping Ye, Jiangming Xu, Yang Zhang, 2023, Optics & Laser Technology.

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

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

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

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

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

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

A Safe Screening Rule for Sparse Logistic Regression

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

Learning to Estimate the Travel Time

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

Multi-task Representation Learning for Travel Time Estimation

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

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

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

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.

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

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

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

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

Parallel Lasso Screening for Big Data Optimization

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

Annealed Sparsity via Adaptive and Dynamic Shrinking

Yuan Qi, Jieping Ye, Haifeng Chen, 2016, KDD.

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

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

A Multi-Task Learning Formulation for Survival Analysis

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

Structural Graphical Lasso for Learning Mouse Brain Connectivity

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

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

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

Efficient nonconvex sparse group feature selection via continuous and discrete optimization

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

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).

Automated Gene Expression Pattern Annotation in the Mouse Brain

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

Simultaneous feature and feature group selection through hard thresholding

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

Generalization Bounds for Representative Domain Adaptation pdf

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

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

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

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.

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

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

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

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

Projection onto A Nonnegative Max-Heap

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

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

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

Learning incoherent sparse and low-rank patterns from multiple tasks

Jieping Ye, Jianhui Chen, Ji Liu, 2010 .

Pruning Decision Trees via Max-Heap Projection

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

Patient Risk Prediction Model via Top-k Stability Selection

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

Disease-Specific Risk Prediction through Stability Selection using Electronic Health Records

Jieping Ye, Jimeng Sun, Jiayu Zhou, 2012 .

Fast Overlapping Group Lasso pdf

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

Should patients with diabetes be encouraged to integrate social media into their care plan?

Jieping Ye, Jingrui He, C. Cook, 2018, Future science OA.

Modeling Task FMRI Data via Supervised Stochastic Coordinate Coding

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

Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function

Jieping Ye, Jinglei Lv, Tuo Zhang, 2015, IEEE Transactions on Biomedical Engineering.

Transfer Learning for Bilingual Content Classification

Anmol Bhasin, Jieping Ye, Qian Sun, 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-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.

A universal distribution law of network detour ratios

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

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.

Multi-Task Learning for Spatio-Temporal Event Forecasting

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

Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark

Jieping Ye, Hongtao Lu, Mingyuan Tao, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Querying discriminative and representative samples for batch mode active learning

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

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

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

Discriminative K-means for Clustering

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

Scalable Distributed Hashing for Approximate Nearest Neighbor Search

Jieping Ye, Yuan Cao, Jie Gui, 2021, IEEE Transactions on Image Processing.

Metabolomic biosignature differentiates melancholic depressive patients from healthy controls

Jieping Ye, V. Narayan, Tao Yang, 2016, BMC Genomics.

Sparse trace norm regularization

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

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.

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.

Compressed Facade Displacement Maps

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

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

Fei Wang, Jieping Ye, Ian Davidson, 2022 .

Evaluation of Lattice Light Shift at Low 10^{-19} Uncertainty for a Shallow Lattice Sr Optical Clock.

Jieping Ye, T. Bothwell, A. Aeppli, 2022, Physical review letters.

TINET: Learning Invariant Networks via Knowledge Transfer

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

Multi-source Multi-target Dictionary Learning for Prediction of Cognitive Decline

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

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

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

Efficient Sparse Group Feature Selection via Nonconvex Optimization

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

Human-Centric Urban Transit Evaluation and Planning

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

Active Matrix Completion

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

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

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

Low-Rank and Sparse Multi-task Learning

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

Guaranteed Sparse Recovery under Linear Transformation

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

A Multi-Stage Framework for Dantzig Selector and LASSO

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

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.

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

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

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.

HONOR: Hybrid Optimization for NOn-convex Regularized problems

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

Multiclass Probabilistic Kernel Discriminant Analysis

Huan Liu, Kari Torkkola, Amit Mandvikar, 2009, IJCAI.

Recognizing Social Constructs from Textual Conversation

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

Interest point detection using imbalance oriented selection

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

Extracting shared subspace for multi-label classification

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

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.

Training SVM with indefinite kernels

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

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

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

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

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

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

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

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).

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).

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

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

Self-Learning Symmetric Multi-view Probabilistic Clustering

Jieping Ye, Jun Liu, Rongxin Jiang, 2023, ArXiv.

Multi-Stage MultiTask Feature Learning ∗

Pinghua Gong, Jieping Ye, Changshui Zhang, 2012 .

Cavity opto-mechanics using an optically levitated nanosphere

D. E. Chang, O. Painter, P. Zoller, 2009, Proceedings of the National Academy of Sciences.

Non-monotonic feature selection

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

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

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).

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).

Feature Reduction via Generalized Uncorrelated Linear Discriminant Analysis

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

Batch mode active sampling based on marginal probability distribution matching

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

Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting

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

Sparse non-negative tensor factorization using columnwise coordinate descent

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

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

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

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

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

Revealing the dynamics of intensity fluctuation transfer in random Raman fiber laser

Jieping Ye, Hanwei Zhang, P. Zhou, 2022, Photonics Research.

ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide

Thomas E. Nichols, I. Deary, C. Francks, 2015, NeuroImage.

Biological Image Analysis via Matrix Approximation

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

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

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

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

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

A framework for interactive image color editing

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

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

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

A least squares formulation for canonical correlation analysis

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

Flexible Online Task Assignment in Real-Time Spatial Data

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

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.

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).

Multi-objective Multi-view Spectral Clustering via Pareto Optimization

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

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

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

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

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

Session Introduction

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

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..

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).

A Unified Model for Joint Normalization and Differential Gene Expression Detection in RNA-Seq Data

Jieping Ye, Kefei Liu, Yang Yang, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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.

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

Zhi-Hua Zhou, Jieping Ye, Shuiwang Ji, 2009, IEEE/ACM Transactions on Computational Biology & Bioinformatics.

Discriminant kernel and regularization parameter learning via semidefinite programming

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

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

Zhi-Hua Zhou, Jieping Ye, Shuiwang Ji, 2009, IEEE/ACM Transactions on Computational Biology & Bioinformatics.

Modeling disease progression via multi-task learning

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

Matrix-variate and higher-order probabilistic projections

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

Margin Based PU Learning

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

Efficient Kernel Discriminant Analysis via QR Decomposition

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

Feature extraction via generalized uncorrelated linear discriminant analysis

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

BDIOCTL: Obligations and the Specification of Agent Behavior

Jieping Ye, Jianhui Chen, Lei Tang, 2009, IJCAI.

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

Yalin Wang, Jieping Ye, Jiayu Zhou, 2014, NeuroImage.

Generalized Low Rank Approximations of Matrices

Jieping Ye, 2004, Machine Learning.

CPM: A Covariance-preserving Projection Method

Jieping Ye, Tao Xiong, Ravi Janardan, 2006, SDM.

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.

Coupled Support Vector Machines for Supervised Domain Adaptation

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

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.

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

Yalin Wang, Jieping Ye, Wei Fan, 2014, NeuroImage.

Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function

Jieping Ye, Xi Jiang, Lei Guo, 2015, IEEE Transactions on Biomedical Engineering.

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

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

Robust principal component analysis via capped norms

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

Identifying biologically relevant genes via multiple heterogeneous data sources

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

DBUS: Human Driving Behavior Understanding System

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

Approximation of minimum energy curves

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

Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion

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

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

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

The Second Order Linear Model

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

Tackling Long-tailed Distribution Issue in Graph Neural Networks via Normalization

Jieping Ye, Irwin King, Langzhang Liang, 2022, 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, 2003, Third IEEE International Conference on Data Mining.

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).

Image Cosegmentation via Multi-task Learning

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

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

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

Jointly Modeling Label and Feature Heterogeneity in Medical Informatics

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

Learning the Optimal Neighborhood Kernel for Classification

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

Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias

Jieping Ye, Defu Lian, Zhihao Shi, 2023, ArXiv.

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

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

Efficient model selection for regularized linear discriminant analysis

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

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

Zhi-Hua Zhou, Jieping Ye, Shuiwang Ji, 2009, KDD.

Full observation of single-atom dynamics in cavity QED

Jieping Ye, H. Mabuchi, H. Kimble, 1998, quant-ph/9805076.