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- Time Series Analysis
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- Improving Time Series Forecasting via Instance-aware Post-hoc Revision
- A Hybrid Multi-Factor Framework for Dynamic Intraoperative Hypotension Prediction
- Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting
- Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems
- Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce
- Preference Trajectory Modeling via Flow Matching for Sequential Recommendation
- TimeDART: A Diffusion Autoregressive Transformer for Self-supervised Time Series Representation
- A Comprehensive Survey of Time Series Forecasting: Concepts, Challenges, and Future Directions
- InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling
- Advancing Time Series Classification with Multimodal Language Modeling
- Generative Pretrained Hierarchical Transformer for Time Series Forecasting
- Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective
- A general tail item representation enhancement framework for sequential recommendation
- Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems
- FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification
- TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders