Area of research
Artificial Intelligence · Statistical and Nonlinear Physics
Research interest
Research focused on Embedding and Artificial intelligence, with related work in Discriminative model, Feature selection, Link (geometry). Notable publications include 'Spotting Fake Reviews via Collective Positive-Unlabeled Learning', 'Embedding of Embedding (EOE)', and 'Cross View Link Prediction by Learning Noise-resilient Representation Consensus'.
Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion
Network Embedding via Coupled Kernelized Multi-Dimensional Array Factorization
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks
On Exploring Semantic Meanings of Links for Embedding Social Networks
Multi-task network embedding
Embedding of Embedding (EOE)
Cross View Link Prediction by Learning Noise-resilient Representation Consensus
t-BNE: Tensor-based Brain Network Embedding
Embedding Identity and Interest for Social Networks
Multi-view unsupervised feature selection by cross-diffused matrix alignment
Contaminant removal for Android malware detection systems
Multi-task Network Embedding
Constrained Active Learning for Anchor Link Prediction Across Multiple Heterogeneous Social Networks
Contaminant Removal for Android Malware Detection Systems
Online Unsupervised Multi-view Feature Selection
Unsupervised Feature Selection on Networks: A Generative View
Unsupervised Feature Selection by Preserving Stochastic Neighbors
International Conference on Artificial Intelligence and Statistics 2016cited by 18position: first
Nonlinear Joint Unsupervised Feature Selection
Community detection with partially observable links and node attributes
Semi-supervised Tensor Factorization for Brain Network Analysis
Efficient Partial Order Preserving Unsupervised Feature Selection on Networks
Spotting Fake Reviews via Collective Positive-Unlabeled Learning