Yuheng Jia

Venues

Frequent coauthors

Papers

1. CuMA: Aligning LLMs with Sparse Cultural Values via Demographic-Aware Mixture of Adapters
   ACL 2026 ·

   Ao Sun

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2. DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning
   AAAI 2026 ·

   Bo Han

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3. ESMC: MLLM-Based Embedding Selection for Explainable Multiple Clustering
   AAAI 2026 ·

   Xinyue Wang

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4. Towards Better IncomLDL: We Are Unaware of Hidden Labels in Advance
   AAAI 2026 ·

   Jiecheng Jiang

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5. A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
   ICML 2025 ·

   Yaxin Hou

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6. Boosting Class Representation via Semantically Related Instances for Robust Long-Tailed Learning with Noisy Labels
   ICCV 2025 ·

   Yuhang Li

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7. Calibrated Disambiguation for Partial Multi-label Learning
   AAAI 2025 ·

   Zhuoming Li

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8. Complementary Label Learning with Positive Label Guessing and Negative Label Enhancement
   ICLR 2025 ·

   Yuhang Li

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9. ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering
   ICLR 2025 ·

   Zhixin Li

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10. Concentration Distribution Learning from Label Distributions
    ICML 2025 ·

    Jiawei Tang

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11. Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence
    ACL 2025 ·

    Jinghan He

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12. Generalization Performance of Ensemble Clustering: From Theory to Algorithm
    ICML 2025 ·

    Xu Zhang

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13. Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning
    NeurIPS 2025 ·

    Yaxin Hou

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14. Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning
    IJCAI 2025 ·

    Zhiqiang Kou

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15. Learning from Sample Stability for Deep Clustering
    ICML 2025 ·

    Zhixin Li

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16. Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label Learning
    SIGKDD 2025 ·

    Fuchao Yang

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17. Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning
    ICLR 2025 ·

    Xiaorui Peng

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18. Partial Label Clustering
    IJCAI 2025 ·

    Yutong Xie

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19. RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels
    NeurIPS 2025 ·

    Zhiqiang Kou

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20. Robust Label Proportions Learning
    NeurIPS 2025 ·

    Jueyu Chen

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21. Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation
    EMNLP 2025 ·

    Zhenglin Hua

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22. Towards Calibrated Deep Clustering Network
    ICLR 2025 · Yuheng Jia
23. You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering
    NeurIPS 2025 ·

    Hanyang Li

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24. Exploiting Multi-Label Correlation in Label Distribution Learning
    IJCAI 2024 ·

    Zhiqiang Kou

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25. FairMatch: Promoting Partial Label Learning by Unlabeled Samples
    SIGKDD 2024 ·

    Jiahao Jiang

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26. Label Distribution Learning from Logical Label
    IJCAI 2024 · Yuheng Jia
27. Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation
    AAAI 2024 · Yuheng Jia
28. Noisy Label Removal for Partial Multi-Label Learning
    SIGKDD 2024 ·

    Fuchao Yang

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