Jieping Ye

Latest

• SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph
• Rethinking Graph Convolutional Networks in Knowledge Graph Completion
• Masked-field Pre-training for User Intent Prediction
• Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets
• Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning
• The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms
• Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction
• Large-scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions
• A Multi-Task Learning Formulation for Survival Analysis
• Parallel Lasso Screening for Big Data Optimization
• An Efficient Algorithm For Weak Hierarchical Lasso
• Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection
• Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices
• Lasso Screening Rules via Dual Polytope Projection
• Detecting genetic risk factors for Alzheimer’s disease in whole genome sequence data via Lasso screening
• Fused Lasso Screening Rules via the Monotonicity of Subdifferentials
• A Safe Screening Rule for Sparse Logistic Regression
• Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets
• An efficient algorithm for weak hierarchical lasso
• A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models
• Safe Screening with Variational Inequalities and Its Application to Lasso
• Scaling SVM and Least Absolute Deviations via Exact Data Reduction
• Lasso Screening Rules via Dual Polytope Projection
• An Efficient ADMM Algorithm for Multidimensional Anisotropic Total Variation Regularization Problems
• Efficient Mixed-Norm Regularization: Algorithms and Safe Screening Methods
• Automatic Dialogue Summary Generation for Customer Service