Area of research
Information Systems · Artificial Intelligence
Research interest
Research interests include Computer science, Recommender system, Artificial intelligence, Graph, Preference, and Embedding.
Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation
Variational Rectification Inference for Learning with Noisy Labels
Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models
Multi-Behavior Recommendation with Cascading Graph Convolution Networks
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation
LightGT: A Light Graph Transformer for Multimedia Recommendation
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation
Semantic-Guided Feature Distillation for Multimodal Recommendation
Disentangled Multimodal Representation Learning for Recommendation
Disentangled Graph Neural Networks for Session-Based Recommendation
Privacy-Preserving Synthetic Data Generation for Recommendation Systems
Interest-aware Message-Passing GCN for Recommendation
User Diverse Preference Modeling by Multimodal Attentive Metric Learning
Compaction and condensation of DNA mediated by the C-terminal domain of Hfq