Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Computer science, Recommender system, Artificial intelligence, Information retrieval, Collaborative filtering, and Exploit.
Denoising Diffusion Recommender Model
PSVMA+: Exploring Multi-Granularity Semantic-Visual Adaption for Generalized Zero-Shot Learning
LightGT: A Light Graph Transformer for Multimedia Recommendation
Contrastive Learning for Cold-Start Recommendation
Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback
Heterogeneous Fusion of Semantic and Collaborative Information for Visually-Aware Food Recommendation
Attentive Moment Retrieval in Videos
Cross-modal Moment Localization in Videos
Neural Collaborative Filtering
SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning
Attentive Collaborative Filtering
Embedding Factorization Models for Jointly Recommending Items and User Generated Lists
Cross-Platform App Recommendation by Jointly Modeling Ratings and Texts