Huaiyu Wan

Venues

Frequent coauthors

Papers

1. FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts
   SIGKDD 2026 ·

   Yiji Zhao

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2. RIPCN: A Road Impedance Principal Component Network for Probabilistic Traffic Flow Forecasting
   SIGKDD 2026 ·

   Haochen Lv

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3. SAMoRA: Semantic-Aware Mixture of LoRA Experts for Task-Adaptive Learning
   ACL 2026 ·

   Boyan Shi

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4. STK-Adapter: Incorporating Evolving Graph and Event Chain for Temporal Knowledge Graph Extrapolation
   ACL 2026 ·

   Shuyuan Zhao

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5. Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation
   AAAI 2026 ·

   Xiaowei Mao

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6. Think How Your Teammates Think: Active Inference Can Benefit Decentralized Execution
   AAAI 2026 ·

   Hao Wu

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7. Zipage: Maintain High Request Concurrency for LLM Reasoning through Compressed PagedAttention
   ACL 2026 ·

   Mengqi Liao

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8. A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph Reasoning
   ACL 2025 ·

   Zhiyu Zhang

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9. Balancing Imbalance: Data-Scarce Urban Flow Prediction via Spatio-Temporal Balanced Transfer Learning
   IJCAI 2025 ·

   Xinyan Hao

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10. CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework
    AAAI 2025 ·

    Wei Chen

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11. DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
    AAAI 2025 ·

    Xiaowei Mao

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12. Enhancing Efficiency and Exploration in Reinforcement Learning for LLMs
    EMNLP 2025 ·

    Mengqi Liao

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13. HMoRA: Making LLMs More Effective with Hierarchical Mixture of LoRA Experts
    ICLR 2025 ·

    Mengqi Liao

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14. PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models
    NeurIPS 2025 ·

    Tonglong Wei

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15. STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM
    AAAI 2025 ·

    Yiheng Huang

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16. Spatial-Temporal Knowledge Distillation for Takeaway Recommendation
    AAAI 2025 ·

    Shuyuan Zhao

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17. TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories
    IJCAI 2025 ·

    Zeyu Zhou

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18. TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model
    NeurIPS 2025 ·

    Yichen Liu

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19. TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability
    NeurIPS 2025 ·

    Tonglong Wei

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20. DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data
    NeurIPS 2024 ·

    Hanyang Chen

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21. LaDe: The First Comprehensive Last-mile Express Dataset from Industry
    SIGKDD 2024 ·

    Lixia Wu

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22. Local-Global History-Aware Contrastive Learning for Temporal Knowledge Graph Reasoning
    ICDE 2024 ·

    Wei Chen

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23. Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models
    NeurIPS 2024 ·

    Letian Gong

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24. PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting
    NeurIPS 2024 ·

    Yuxin Jia

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