PPaperPicks

Sheng-Jun Huang

25 papers at tracked venues · 17 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-7673-5367 ↗

Venues

AAAI ×7IJCAI ×5ICML ×3ECCV ×2NeurIPS ×2SIGKDD ×2ACL ×1CVPR ×1ECAI ×1ICLR ×1

Frequent coauthors

Ming-Kun Xie
×8
Chen-Chen Zong
×6
Shao-Yuan Li
×4
Ye-Wen Wang
×4
Xiang Chen
×3
Qin-Wen Luo
×3
Songcan Chen
×3
Yadong Wang
×2
Dong Liang
×2
Chuanxing Geng
×2
Shiji Zhao
×2
Penghui Yang
×2

Papers

  1. MultiMedBench: A Scenario-Aware Benchmark for Evaluating Knowledge Editing in Medical VQA
    AAAI 2026 ·
    Shengtao Wen
    ,
    Haodong Chen
    ,
    Yadong Wang
    ,
    Zhongying Pan
    ,
    Xiang Chen
    ,
    Yu Tian
    ,
    Bo Qian
    ,
    Dong Liang
    , Sheng-Jun Huang
  2. Reflect Then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion
    AAAI 2026 ·
    Dong Zhao
    ,
    Yadong Wang
    ,
    Xiang Chen
    ,
    Chenxi Wang
    ,
    Hongliang Dai
    ,
    Chuanxing Geng
    ,
    Shengzhong Zhang
    ,
    Shaoyuan Li
    , Sheng-Jun Huang
  3. Conservative Query and Adaptive Regularization for Offline RL under Uncertainty Estimation
    ECAI 2025 ·
    Li-Rong Zhou
    ,
    Qin-Wen Luo
    , Sheng-Jun Huang
  4. DM-POSA: Enhancing Open-World Test-Time Adaptation with Dual-Mode Matching and Prompt-Based Open Set Adaptation
    IJCAI 2025 ·
    Shiji Zhao
    ,
    Shao-Yuan Li
    ,
    Chuanxing Geng
    , Sheng-Jun Huang,
    Songcan Chen
  5. Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head
    SIGKDD 2025 ·
    Penghui Yang
    ,
    Chen-Chen Zong
    , Sheng-Jun Huang,
    Lei Feng
    ,
    Bo An
  6. Efficient Heterogeneity-Aware Federated Active Data Selection
    ICML 2025 ·
    Ying-Peng Tang
    ,
    Chao Ren
    ,
    Xiaoli Tang
    , Sheng-Jun Huang,
    Lizhen Cui
    ,
    Han Yu
  7. FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks
    IJCAI 2025 ·
    Binbin Ding
    ,
    Penghui Yang
    , Sheng-Jun Huang
  8. Graph-guided Cross-composition Feature Disentanglement for Compositional Zero-shot Learning
    ACL 2025 ·
    Yuxia Geng
    ,
    Runkai Zhu
    ,
    Jiaoyan Chen
    ,
    Jintai Chen
    ,
    Xiang Chen
    ,
    Zhuo Chen
    ,
    Shuofei Qiao
    ,
    Yuxiang Wang
    ,
    Xiaoliang Xu
    , Sheng-Jun Huang
  9. Improving Generalization of Deep Neural Networks by Optimum Shifting
    AAAI 2025 ·
    Yuyan Zhou
    ,
    Ye Li
    ,
    Lei Feng
    , Sheng-Jun Huang
  10. Inconsistency-Based Federated Active Learning
    IJCAI 2025 ·
    Chen-Chen Zong
    ,
    Tong Jin
    , Sheng-Jun Huang
  11. Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL
    ICML 2025 ·
    Qin-Wen Luo
    ,
    Ming-Kun Xie
    ,
    Ye-Wen Wang
    , Sheng-Jun Huang
  12. MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse
    AAAI 2025 ·
    Zijian Tao
    ,
    Shao-Yuan Li
    ,
    Wenhai Wan
    ,
    Jinpeng Zheng
    ,
    Jia-Yao Chen
    ,
    Yuchen Li
    , Sheng-Jun Huang,
    Songcan Chen
  13. Representation-Level Counterfactual Calibration for Debiased Zero-Shot Recognition
    NeurIPS 2025 ·
    Pei Peng
    ,
    Ming-Kun Xie
    ,
    Hang Hao
    ,
    Tong Jin
    , Sheng-Jun Huang
  14. Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach
    CVPR 2025 ·
    Chen-Chen Zong
    , Sheng-Jun Huang
  15. StructSR: Refuse Spurious Details in Real-World Image Super-Resolution
    AAAI 2025 ·
    Yachao Li
    ,
    Dong Liang
    ,
    Tianyu Ding
    , Sheng-Jun Huang
  16. Asymmetric Beta Loss for Evidence-Based Safe Semi-Supervised Multi-Label Learning
    SIGKDD 2024 ·
    Hao-Zhe Liu
    ,
    Ming-Kun Xie
    ,
    Chen-Chen Zong
    , Sheng-Jun Huang
  17. Bidirectional Uncertainty-Based Active Learning for Open-Set Annotation
    ECCV 2024 ·
    Chen-Chen Zong
    ,
    Ye-Wen Wang
    ,
    Kun-Peng Ning
    ,
    Haibo Ye
    , Sheng-Jun Huang
  18. Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations
    IJCAI 2024 ·
    Ye Li
    ,
    Siqi Chen
    ,
    Bin Shan
    , Sheng-Jun Huang
  19. Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
    ICML 2024 ·
    Ming-Kun Xie
    ,
    Jiahao Xiao
    ,
    Pei Peng
    ,
    Gang Niu
    ,
    Masashi Sugiyama
    , Sheng-Jun Huang
  20. Dirichlet-Based Prediction Calibration for Learning with Noisy Labels
    AAAI 2024 ·
    Chen-Chen Zong
    ,
    Ye-Wen Wang
    ,
    Ming-Kun Xie
    , Sheng-Jun Huang
  21. Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-supervised Multi-label Learning
    ECCV 2024 ·
    Jiahao Xiao
    ,
    Ming-Kun Xie
    ,
    Heng-Bo Fan
    ,
    Gang Niu
    ,
    Masashi Sugiyama
    , Sheng-Jun Huang
  22. NanoAdapt: Mitigating Negative Transfer in Test Time Adaptation with Extremely Small Batch Sizes
    IJCAI 2024 ·
    Shiji Zhao
    ,
    Shao-Yuan Li
    , Sheng-Jun Huang
  23. One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models
    ICLR 2024 · Sheng-Jun Huang,
    Yi Li
    ,
    Yiming Sun
    ,
    Ying-Peng Tang
  24. Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL
    NeurIPS 2024 ·
    Qin-Wen Luo
    ,
    Ming-Kun Xie
    ,
    Ye-Wen Wang
    , Sheng-Jun Huang
  25. Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning
    AAAI 2024 ·
    Wenhai Wan
    ,
    Xinrui Wang
    ,
    Ming-Kun Xie
    ,
    Shao-Yuan Li
    , Sheng-Jun Huang,
    Songcan Chen