Publications (40)
Multi-Stage Multi-Task Feature Learning
Pinghua Gong, Jieping Ye, Changshui Zhang
Scaling SVM and Least Absolute Deviations via Exact Data Reduction
Jie Wang, Peter Wonka, Jieping Ye
Sparse Trace Norm Regularization
Jianhui Chen, Jieping Ye
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning
Minne Li, Zhiwei, Qin +7
Efficient L1/Lq Norm Regularization
Jun Liu, Jieping Ye
Multi-Task Feature Learning Via Efficient l2,1-Norm Minimization
Jun Liu, Shuiwang Ji, Jieping Ye
Coupled Support Vector Machines for Supervised Domain Adaptation
Hemanth Venkateswara, Prasanth Lade, Jieping Ye +1
Optimizing Online Matching for Ride-Sourcing Services with Multi-Agent Deep Reinforcement Learning
Jintao Ke, Feng Xiao, Hai Yang +1
A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing
Ming Lin, Jieping Ye
The Second Order Linear Model
Ming Lin, Shuang Qiu, Bin Hong +1
Seeing the Forest from the Trees in Two Looks: Matrix Sketching by Cascaded Bilateral Sampling
Kai Zhang, Chuanren Liu, Jie Zhang +3
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction
Huaxiu Yao, Fei Wu, Jintao Ke +6
Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee
Ming Lin, Shuang Qiu, Jieping Ye +5
Efficient Sparse Group Feature Selection via Nonconvex Optimization
Shuo Xiang, Xiaotong Shen, Jieping Ye
Stochastic Coordinate Coding and Its Application for Drosophila Gene Expression Pattern Annotation
Binbin Lin, Qingyang Li, Qian Sun +4
Persistent Homology in Sparse Regression and its Application to Brain Morphometry
Moo K. Chung, Jamie L. Hanson, Jieping Ye +2
Large-scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions
Qingyang Li, Tao Yang, Liang Zhan +6
Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining
Ishan Jindal, Zhiwei Qin, Xuewen Chen +2
Dictionary LASSO: Guaranteed Sparse Recovery under Linear Transformation
Ji Liu, Lei Yuan, Jieping Ye
GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning
Shupeng Gui, Xiangliang Zhang, Shuang Qiu +3
A Safe Screening Rule for Sparse Logistic Regression
Jie Wang, Jiayu Zhou, Jun Liu +2
Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices
Jie Wang, Jieping Ye
Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics
Milad Makkie, Xiang Li, Binbin Lin +4
Lasso Screening Rules via Dual Polytope Projection
Jie Wang, Peter Wonka, Jieping Ye
Generalization Bounds for Domain Adaptation
Chao Zhang, Lei Zhang, Jieping Ye
Fast Overlapping Group Lasso
Jun Liu, Jieping Ye
Fused Multiple Graphical Lasso
Sen Yang, Zhaosong Lu, Xiaotong Shen +2
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets
Jie Wang, Jieping Ye
A Unified Model for Differential Expression Analysis of RNA-seq Data via L1-Penalized Linear Regression
Kefei Liu, Jieping Ye, Yang Yang +2
A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip
Ishan Jindal, Tony, Qin +3
Efficient Approximate Solutions to Mutual Information Based Global Feature Selection
Hemanth Venkateswara, Prasanth Lade, Binbin Lin +2
Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint
Ji Liu, Ryohei Fujimaki, Jieping Ye
Identifying Genetic Risk Factors via Sparse Group Lasso with Group Graph Structure
Tao Yang, Paul Thompson, Sihai Zhao +1
Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images
Jie Zhang, Qingyang Li, Richard J. Caselli +2
Safe Screening With Variational Inequalities and Its Application to LASSO
Jun Liu, Zheng Zhao, Jie Wang +1
Efficient Mixed-Norm Regularization: Algorithms and Safe Screening Methods
Jie Wang, Jun Liu, Jieping Ye
Geodesic Distance Function Learning via Heat Flow on Vector Fields
Binbin Lin, Ji Yang, Xiaofei He +1
Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression
Qingyang Li, Dajiang Zhu, Jie Zhang +6
Generalization Bounds for Representative Domain Adaptation
Chao Zhang, Lei Zhang, Wei Fan +1
Nonconvex One-bit Single-label Multi-label Learning
Shuang Qiu, Tingjin Luo, Jieping Ye +1