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Peng Han

13 papers at tracked venues · 10 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. If an LLM Were a Character, Would It Know Its Own Story? Evaluating Lifelong Learning in LLMs
  2. PORCA: Root Cause Analysis with Partially Observed Data
  3. Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation
  4. Grid and Road Expressions Are Complementary for Trajectory Representation Learning
  5. Not All Layers of LLMs Are Necessary During Inference
  6. Position-Aware Depth Decay Decoding (D³): Boosting Large Language Model Inference Efficiency
  7. ST-TAR: An Efficient Spatio-Temporal Learning Framework for Traffic Accident Risk Forecasting
  8. Seed: Bridging Sequence and Diffusion Models for Road Trajectory Generation
  9. Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering
  10. KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding
  11. Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting
  12. Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring
  13. TEAM: Topological Evolution-aware Framework for Traffic Forecasting