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Songcan Chen

21 papers at tracked venues · 13 at CORE A* · active 2024–2026

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Venues

AAAI ×11IJCAI ×5AISTATS ×2ECAI ×1ICML ×1NeurIPS ×1

Frequent coauthors

Jiexi Liu
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Yunyun Wang
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Chuanxing Geng
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Feihu Huang
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Chaohua Li
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Jinpeng Zheng
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Xinrui Wang
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Shiji Zhao
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Jiaqiang Zhang
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Zijian Tao
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Haifeng Yang
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Xinrui Wang
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Papers

  1. Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning
    AAAI 2026 ·
    Jiexi Liu
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  2. HGLTR: Hierarchical Knowledge Injection for Calibrating Pre-trained Models in Long-Tail Recognition
    AAAI 2026 ·
    Jinpeng Zheng
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  3. The Finer the Better: Towards Granular-aware Open-set Domain Generalization
    AAAI 2026 ·
    Yunyun Wang
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  4. Beyond Myopia: Enhancing Few-Shot Open-Set Recognition via Hyperopia Distillation
    ECAI 2025 ·
    Chuanxing Geng
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  5. Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning
    ICML 2025 ·
    Xinrui Wang
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  6. DM-POSA: Enhancing Open-World Test-Time Adaptation with Dual-Mode Matching and Prompt-Based Open Set Adaptation
    IJCAI 2025 ·
    Shiji Zhao
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  7. Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization
    AISTATS 2025 ·
    Feihu Huang
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  8. Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference
    AAAI 2025 ·
    Jiaqiang Zhang
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  9. LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data
    IJCAI 2025 ·
    Chuanxing Geng
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  10. MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse
    AAAI 2025 ·
    Zijian Tao
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  11. ProMEA: Prompt-driven Expansion and Alignment for Single Domain Generalization
    IJCAI 2025 ·
    Yunyun Wang
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  12. TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis
    AAAI 2025 ·
    Jiexi Liu
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  13. Unlocking Better Closed-Set Alignment Based on Neural Collapse for Open-Set Recognition
    AAAI 2025 ·
    Chaohua Li
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  14. Adaptive Federated Minimax Optimization with Lower Complexities
    AISTATS 2024 ·
    Feihu Huang
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  15. All Beings Are Equal in Open Set Recognition
    AAAI 2024 ·
    Chaohua Li
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  16. Dynamic against Dynamic: An Open-Set Self-Learning Framework
    IJCAI 2024 ·
    Haifeng Yang
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  17. Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning
    NeurIPS 2024 ·
    Xinrui Wang
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  18. Mixup-Induced Domain Extrapolation for Domain Generalization
    AAAI 2024 ·
    Meng Cao
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  19. No Regularization Is Needed: Efficient and Effective Incomplete Label Distribution Learning
    IJCAI 2024 ·
    Xiang Li
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  20. TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning
    AAAI 2024 ·
    Jiexi Liu
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  21. Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning
    AAAI 2024 ·
    Wenhai Wan
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