PPaperPicks

Yuheng Jia

28 papers at tracked venues · 23 at CORE A* · active 2024–2026

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Venues

AAAI ×5ICLR ×4ICML ×4IJCAI ×4NeurIPS ×4SIGKDD ×3ACL ×2EMNLP ×1ICCV ×1

Frequent coauthors

Hui Liu
×11
Junhui Hou
×11
Jiawei Tang
×4
Fuchao Yang
×4
Yaxin Hou
×3
Jiahao Jiang
×3
Zhiqiang Kou
×3
Jing Wang
×3
Xin Geng
×3
Xiaoyu Wang
×2
Bo Han
×2
Zhuoming Li
×2

Papers

  1. CuMA: Aligning LLMs with Sparse Cultural Values via Demographic-Aware Mixture of Adapters
    ACL 2026 ·
    Ao Sun
    ,
    Xiaoyu Wang
    ,
    Zhe Tan
    ,
    Yu Li
    ,
    Jiachen Zhu
    , Yuheng Jia,
    Shu Su
  2. DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning
    AAAI 2026 ·
    Bo Han
    ,
    Zhuoming Li
    ,
    Xiaoyu Wang
    ,
    Yaxin Hou
    ,
    Hui Liu
    ,
    Junhui Hou
    , Yuheng Jia
  3. ESMC: MLLM-Based Embedding Selection for Explainable Multiple Clustering
    AAAI 2026 ·
    Xinyue Wang
    , Yuheng Jia,
    Hui Liu
    ,
    Junhui Hou
  4. Towards Better IncomLDL: We Are Unaware of Hidden Labels in Advance
    AAAI 2026 ·
    Jiecheng Jiang
    ,
    Jiawei Tang
    ,
    Jiahao Jiang
    ,
    Hui Liu
    ,
    Junhui Hou
    , Yuheng Jia
  5. A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
    ICML 2025 ·
    Yaxin Hou
    , Yuheng Jia
  6. Boosting Class Representation via Semantically Related Instances for Robust Long-Tailed Learning with Noisy Labels
    ICCV 2025 ·
    Yuhang Li
    ,
    Zhuying Li
    , Yuheng Jia
  7. Calibrated Disambiguation for Partial Multi-label Learning
    AAAI 2025 ·
    Zhuoming Li
    , Yuheng Jia,
    Mi Yu
    ,
    Zicong Miao
  8. Complementary Label Learning with Positive Label Guessing and Negative Label Enhancement
    ICLR 2025 ·
    Yuhang Li
    ,
    Zhuying Li
    , Yuheng Jia
  9. ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering
    ICLR 2025 ·
    Zhixin Li
    , Yuheng Jia
  10. Concentration Distribution Learning from Label Distributions
    ICML 2025 ·
    Jiawei Tang
    , Yuheng Jia
  11. Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence
    ACL 2025 ·
    Jinghan He
    ,
    Kuan Zhu
    ,
    Haiyun Guo
    ,
    Junfeng Fang
    ,
    Zhenglin Hua
    , Yuheng Jia,
    Ming Tang
    ,
    Tat-Seng Chua
    ,
    Jinqiao Wang
  12. Generalization Performance of Ensemble Clustering: From Theory to Algorithm
    ICML 2025 ·
    Xu Zhang
    ,
    Haoye Qiu
    ,
    Weixuan Liang
    ,
    Hui Liu
    ,
    Junhui Hou
    , Yuheng Jia
  13. Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning
    NeurIPS 2025 ·
    Yaxin Hou
    ,
    Bo Han
    , Yuheng Jia,
    Hui Liu
    ,
    Junhui Hou
  14. Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning
    IJCAI 2025 ·
    Zhiqiang Kou
    ,
    Si Qin
    ,
    Hailin Wang
    ,
    Jing Wang
    ,
    Ming-Kun Xie
    ,
    Shuo Chen
    , Yuheng Jia,
    Tongliang Liu
    ,
    Masashi Sugiyama
    ,
    Xin Geng
  15. Learning from Sample Stability for Deep Clustering
    ICML 2025 ·
    Zhixin Li
    , Yuheng Jia,
    Hui Liu
    ,
    Junhui Hou
  16. Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label Learning
    SIGKDD 2025 ·
    Fuchao Yang
    ,
    Jianhong Cheng
    ,
    Hui Liu
    ,
    Yongqiang Dong
    , Yuheng Jia,
    Junhui Hou
  17. Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning
    ICLR 2025 ·
    Xiaorui Peng
    , Yuheng Jia,
    Fuchao Yang
    ,
    Ran Wang
    ,
    Min-Ling Zhang
  18. Partial Label Clustering
    IJCAI 2025 ·
    Yutong Xie
    ,
    Fuchao Yang
    , Yuheng Jia
  19. RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels
    NeurIPS 2025 ·
    Zhiqiang Kou
    ,
    Yucheng Xie
    ,
    Hailin Wang
    ,
    Junyang Chen
    ,
    Jing Wang
    ,
    Ming-Kun Xie
    ,
    Shuo Chen
    , Yuheng Jia,
    Tongliang Liu
    ,
    Xin Geng
  20. Robust Label Proportions Learning
    NeurIPS 2025 ·
    Jueyu Chen
    ,
    Wantao Wen
    ,
    Yeqiang Wang
    ,
    Erliang Lin
    ,
    Yemin Wang
    , Yuheng Jia
  21. Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation
    EMNLP 2025 ·
    Zhenglin Hua
    ,
    Jinghan He
    ,
    Zijun Yao
    ,
    Tianxu Han
    ,
    Haiyun Guo
    , Yuheng Jia,
    Junfeng Fang
  22. Towards Calibrated Deep Clustering Network
    ICLR 2025 · Yuheng Jia,
    Jianhong Cheng
    ,
    Hui Liu
    ,
    Junhui Hou
  23. You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering
    NeurIPS 2025 ·
    Hanyang Li
    , Yuheng Jia,
    Hui Liu
    ,
    Junhui Hou
  24. Exploiting Multi-Label Correlation in Label Distribution Learning
    IJCAI 2024 ·
    Zhiqiang Kou
    ,
    Jing Wang
    ,
    Jiawei Tang
    , Yuheng Jia,
    Boyu Shi
    ,
    Xin Geng
  25. FairMatch: Promoting Partial Label Learning by Unlabeled Samples
    SIGKDD 2024 ·
    Jiahao Jiang
    , Yuheng Jia,
    Hui Liu
    ,
    Junhui Hou
  26. Label Distribution Learning from Logical Label
    IJCAI 2024 · Yuheng Jia,
    Jiawei Tang
    ,
    Jiahao Jiang
  27. Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation
    AAAI 2024 · Yuheng Jia,
    Xiaorui Peng
    ,
    Ran Wang
    ,
    Min-Ling Zhang
  28. Noisy Label Removal for Partial Multi-Label Learning
    SIGKDD 2024 ·
    Fuchao Yang
    , Yuheng Jia,
    Hui Liu
    ,
    Yongqiang Dong
    ,
    Junhui Hou