publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2026

  1. pmnar.png
    Positive–and–Multi-Negative Learning with Adaptive Reweighting for Noisy Labels
    Chen-Chen Zong, Yu-Qi Chi, Tong Jin, and 1 more author
    In ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026
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    Learning from Noisy Labels: A Conformal Prediction Perspective
    Yu-Qi Chi, Chen-Chen Zong, Tong Jin, and 1 more author
    In ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026
    Code

2025

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    Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head
    Penghui Yang, Chen-Chen Zong, Sheng-Jun Huang, and 2 more authors
    In Proceedings of the 31th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025
    PDF Code
  2. ifal.jpg
    Inconsistency-Based Federated Active Learning
    Chen-Chen Zong, Tong Jin, and Sheng-Jun Huang
    In IJCAI, 2025
    PDF Code
  3. EAOA.jpg
    Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach
    Chen-Chen Zong and Sheng-Jun Huang
    In Proceedings of the Computer Vision and Pattern Recognition Conference, 2025
    PDF Code
  4. OpenAda.png
    A Unified Open Adapter for Open-World Noisy Label Learning: Data-Centric and Learning-Based Insights
    Chen-Chen Zong, Peng-Hui Yang, Ming-Kun Xie, and 1 more author
    IEEE Transactions on Circuits and Systems for Video Technology, 2025
    PDF Code
  5. c-freemix.jpg
    Learning with Partial Labels from Conflict-Free and Semi-Supervised Perspective
    Chen-Chen Zong and Sheng-Jun Huang
    In ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
    PDF

2024

  1. BUAL.jpg
    Bidirectional Uncertainty-Based Active Learning for Open-Set Annotation
    Chen-Chen Zong, Ye-Wen Wang, Kun-Peng Ning, and 2 more authors
    In European Conference on Computer Vision, 2024
    PDF Code
  2. ABL.jpg
    Asymmetric Beta Loss for Evidence-Based Safe Semi-Supervised Multi-Label Learning
    Hao-Zhe Liu, Ming-Kun Xie, Chen-Chen Zong, and 1 more author
    In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
    PDF Code
  3. DCFS.jpg
    Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation
    Ye-Wen Wang, Chen-Chen Zong, Ming-Kun Xie, and 1 more author
    In 2024 IEEE International Conference on Multimedia and Expo (ICME), 2024
    PDF
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    CACL: Community-Aware Heterogeneous Graph Contrastive Learning for Social Media Bot Detection
    Sirry Chen, Shuo Feng, Liang Songsong, and 3 more authors
    In Findings of the Association for Computational Linguistics ACL 2024, 2024
    PDF Code
  5. DPC.jpg
    Dirichlet-based prediction calibration for learning with noisy labels
    Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie, and 1 more author
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2024
    PDF Code

2023

  1. LED.jpg
    Multi-label knowledge distillation
    Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, and 4 more authors
    In Proceedings of the IEEE/CVF international conference on computer vision, 2023
    PDF Code

2021

  1. AAL.jpg
    Asynchronous Active Learning with Distributed Label Querying
    Sheng-Jun Huang, Chen-Chen Zong, Kun-Peng Ning, and 1 more author
    In IJCAI, 2021
    PDF