Area of research
Sociology and Political Science · Artificial Intelligence
Research interest
Research interests include Computer science, Preference, Fuse (electrical), Sentiment analysis, Natural language processing, and Hydraulic conductivity.
AMLCDR: An Adaptive Meta-Learning Model for Cross-Domain Recommendation by Aligning Preference Distributions
Dual variational graph contrastive learning for social recommendation
Single & cross: A graph-enhanced framework for cross-domain recommendation with transfer learning
Privacy-preserving clustering federated learning for non-IID data
Hybrid cross-modal interaction learning for multimodal sentiment analysis
Empirical analysis and modelling social network user interaction behavior and time characteristics based on selection preference
Stable expression and control parameters in the numerical simulation of unsaturated flow
Combining two methods for the measurement of hydraulic conductivity over a wide suction range
Attention-based Sentiment Reasoner for aspect-based sentiment analysis
Fused matrix factorization with multi-tag, social and geographical influences for POI recommendation
Classification of Incomplete Data Based on Evidence Theory and an Extreme Learning Machine in Wireless Sensor Networks
A weighted adaptation method on learning user preference profile