publications

2025

1. 

   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. 

   Inconsistency-Based Federated Active Learning.

   Chen-Chen Zong, Tong Jin, and Sheng-Jun Huang

   In IJCAI, 2025

3. 

   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. 

   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. 

   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

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2024

1. 

   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. 

   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. 

   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

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4. 

   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. 

   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. 

   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. 

   Asynchronous Active Learning with Distributed Label Querying.

   Sheng-Jun Huang, Chen-Chen Zong, Kun-Peng Ning, and 1 more author

   In IJCAI, 2021

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