Interests
- Data Mining
- Machine Learning
- Social Network Analysis
- Recommender Systems
Latest
- Recognizing unseen objects via multimodal intensive knowledge graph propagation
- Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform
- Exploring large language model for graph data understanding in online job recommendations
- Supporting Your Idea Reasonably: A Knowledge-Aware Topic Reasoning Strategy for Citation Recommendation
- Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective
- A general tail item representation enhancement framework for sequential recommendation
- Unlocking the Potential of Large Language Models for Explainable Recommendations
- Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems
- Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering
- Communication-efficient federated learning with stagewise training strategy
- KMF: knowledge-aware multi-faceted representation learning for zero-shot node classification
- Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback
- A survey on large language models for recommendation
- Learning the explainable semantic relations via unified graph topic-disentangled neural networks
- FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification
- TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders