Binwu Wang

Venues

Frequent coauthors

Papers

1. Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models
   ACL 2026 ·

   Zhiqing Cui

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2. QuiZSF: A Retrieval-Augmented Framework for Zero-Shot Time Series Forecasting
   WWW 2026 ·

   Shichao Ma

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3. U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions
   AAAI 2026 ·

   Guanjun Wang

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4. We Need a More Robust Classifier: Dual Causal Learning Empowers Domain-Incremental Time Series Classification
   WWW 2026 ·

   Zhipeng Liu

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5. BiST: A Lightweight and Efficient Bi-directional Model for Spatiotemporal Prediction
   VLDB 2025 ·

   Jiaming Ma

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6. Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting
   IJCAI 2025 ·

   Jiaming Ma

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7. DisMS-TS: Eliminating Redundant Multi-scale Features for Time Series Classification
   ACM MM 2025 ·

   Zhipeng Liu

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8. Less but More: Linear Adaptive Graph Learning Empowering Spatiotemporal Forecasting
   NeurIPS 2025 ·

   Jiaming Ma

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9. Many Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent Cooperation
   NeurIPS 2025 ·

   Qihe Huang

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10. MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling
    NeurIPS 2025 ·

    Jiaming Ma

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11. Robust Spatio-Temporal Centralized Interaction for OOD Learning
    ICML 2025 ·

    Jiaming Ma

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12. Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning
    ICLR 2024 · Binwu Wang
13. LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems
    NeurIPS 2024 ·

    Pengkun Wang

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14. Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity
    IJCAI 2024 · Binwu Wang
15. STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts
    SIGKDD 2024 · Binwu Wang
16. Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective
    AAAI 2024 · Binwu Wang
17. When Imbalance Meets Imbalance: Structure-driven Learning for Imbalanced Graph Classification
    WWW 2024 ·

    Wei Xu

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