Area of research
Artificial Intelligence · Information Systems
Research interest
Research interests include Recommender Systems and Techniques, Complex Network Analysis Techniques, Advanced Graph Neural Networks, and Network Security and Intrusion Detection.
Autoencoder-based contrastive learning for next basket recommendation
CATS: Clustering-Aggregated and Time Series for Business Customer Purchase Intention Prediction
Autoencoder-based contrastive learning for next basket recommendation
CATS: Clustering-Aggregated and Time Series for Business Customer Purchase Intention Prediction
Knowledge-Reinforced Cross-Domain Recommendation
Knowledge-Aware Graph Prompt Tuning for Cross-Domain Recommendation
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach
Knowledge-reinforced explainable next basket recommendation
Knowledge-reinforced explainable next basket recommendation
Higher-Order Smoothness Enhanced Graph Collaborative Filtering
Higher-Order Smoothness Enhanced Graph Collaborative Filtering
Hybrid-Order Anomaly Detection on Attributed Networks
G<sup>3</sup>SR: Global Graph Guided Session-Based Recommendation
Multiview Clustering via Proximity Learning in Latent Representation Space
Higher Order Connection Enhanced Community Detection in Adversarial Multiview Networks
Multi-scale broad collaborative filtering for personalized recommendation
Multi-scale broad collaborative filtering for personalized recommendation
Adversarial Spam Detector With Character Similarity Network
An Autoencoder Framework With Attention Mechanism for Cross-Domain Recommendation
Hybrid-Order Gated Graph Neural Network for Session-Based Recommendation
Deep Rating and Review Neural Network for Item Recommendation
Cross-Domain Explicit–Implicit-Mixed Collaborative Filtering Neural Network
Multiview Subspace Clustering With Grouping Effect.
DIAG: A Deep Interaction-Attribute-Generation model for user-generated item recommendation
Adversarial Spam Detector With Character Similarity Network
GHOC: A generative model for hybrid‐order community detection
Node Pair Information Preserving Network Embedding Based on Adversarial Networks.
Relaxed multi-view clustering in latent embedding space
Hybrid-Order Gated Graph Neural Network for Session-Based Recommendation