Sheng-Jun Huang

Venues

Frequent coauthors

Papers

1. MultiMedBench: A Scenario-Aware Benchmark for Evaluating Knowledge Editing in Medical VQA
   AAAI 2026 ·

   Shengtao Wen

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2. Reflect Then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion
   AAAI 2026 ·

   Dong Zhao

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3. Conservative Query and Adaptive Regularization for Offline RL under Uncertainty Estimation
   ECAI 2025 ·

   Li-Rong Zhou

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4. 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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5. Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head
   SIGKDD 2025 ·

   Penghui Yang

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6. Efficient Heterogeneity-Aware Federated Active Data Selection
   ICML 2025 ·

   Ying-Peng Tang

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7. FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks
   IJCAI 2025 ·

   Binbin Ding

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8. Graph-guided Cross-composition Feature Disentanglement for Compositional Zero-shot Learning
   ACL 2025 ·

   Yuxia Geng

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9. Improving Generalization of Deep Neural Networks by Optimum Shifting
   AAAI 2025 ·

   Yuyan Zhou

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10. Inconsistency-Based Federated Active Learning
    IJCAI 2025 ·

    Chen-Chen Zong

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11. Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL
    ICML 2025 ·

    Qin-Wen Luo

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12. MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse
    AAAI 2025 ·

    Zijian Tao

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13. Representation-Level Counterfactual Calibration for Debiased Zero-Shot Recognition
    NeurIPS 2025 ·

    Pei Peng

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14. Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach
    CVPR 2025 ·

    Chen-Chen Zong

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15. StructSR: Refuse Spurious Details in Real-World Image Super-Resolution
    AAAI 2025 ·

    Yachao Li

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16. Asymmetric Beta Loss for Evidence-Based Safe Semi-Supervised Multi-Label Learning
    SIGKDD 2024 ·

    Hao-Zhe Liu

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17. Bidirectional Uncertainty-Based Active Learning for Open-Set Annotation
    ECCV 2024 ·

    Chen-Chen Zong

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18. Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations
    IJCAI 2024 ·

    Ye Li

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19. Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
    ICML 2024 ·

    Ming-Kun Xie

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20. Dirichlet-Based Prediction Calibration for Learning with Noisy Labels
    AAAI 2024 ·

    Chen-Chen Zong

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21. Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-supervised Multi-label Learning
    ECCV 2024 ·

    Jiahao Xiao

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22. NanoAdapt: Mitigating Negative Transfer in Test Time Adaptation with Extremely Small Batch Sizes
    IJCAI 2024 ·

    Shiji Zhao

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23. One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models
    ICLR 2024 · Sheng-Jun Huang
24. Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL
    NeurIPS 2024 ·

    Qin-Wen Luo

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25. Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning
    AAAI 2024 ·

    Wenhai Wan

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