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
- Advancing Time Series Classification with Multimodal Language Modeling
- Learning Transferable Time Series Classifier with Cross-Domain Pre-training from Language Model
- ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis
- Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective
- AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking
- 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
- Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback
- Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense
- 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