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Pengkun Wang

University of Science and Technology of China (USTC), Heifei, China

24 papers at tracked venues · 21 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-2680-4563 ↗

Venues

AAAI ×7NeurIPS ×6ICML ×3ICLR ×2IJCAI ×2CIKM ×1SIGKDD ×1VLDB ×1WWW ×1

Frequent coauthors

Zhe Zhao
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Jiaming Ma
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Binwu Wang
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Liheng Yu
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Yuan Dong
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Guanjun Wang
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Yudong Zhang
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Xucong Wang
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Wei Xu
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Papers

  1. Learning Dynamics as Feedback: An Adaptive Entropy Flow Dynamics Framework for Long-tailed Human Action Recognition
    AAAI 2026 ·
    Yuan Dong
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  2. Rethinking Crystal Symmetry Prediction: A Decoupled Perspective
    AAAI 2026 ·
    Liheng Yu
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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. Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data
    ICML 2025 ·
    Zhe Zhao
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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. COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation
    ICLR 2025 ·
    Yudong Zhang
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  7. Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting
    IJCAI 2025 ·
    Jiaming Ma
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  8. Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery
    NeurIPS 2025 ·
    Zhe Zhao
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  9. Less but More: Linear Adaptive Graph Learning Empowering Spatiotemporal Forecasting
    NeurIPS 2025 ·
    Jiaming Ma
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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. Multi-label Self Knowledge Distillation
    AAAI 2025 ·
    Xucong Wang
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  12. Robust Spatio-Temporal Centralized Interaction for OOD Learning
    ICML 2025 ·
    Jiaming Ma
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  13. STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis
    AAAI 2025 ·
    Zhe Zhao
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  14. TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition
    NeurIPS 2025 ·
    Zhe Zhao
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  15. A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks
    AAAI 2024 ·
    Zhe Zhao
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  16. Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts
    NeurIPS 2024 ·
    Zhe Zhao
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  17. Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning
    ICLR 2024 ·
    Binwu Wang
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  18. LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems
    NeurIPS 2024 · Pengkun Wang
  19. Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity
    IJCAI 2024 ·
    Binwu Wang
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  20. STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts
    SIGKDD 2024 ·
    Binwu Wang
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  21. Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective
    AAAI 2024 ·
    Binwu Wang
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  22. Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning
    ICML 2024 ·
    Zhe Zhao
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  23. When Imbalance Meets Imbalance: Structure-driven Learning for Imbalanced Graph Classification
    WWW 2024 ·
    Wei Xu
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  24. XRDMamba: Large-scale Crystal Material Space Group Identification with Selective State Space Model
    CIKM 2024 ·
    Liheng Yu
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