publications

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

2026

Efficient Distributed Pedestrian Inertial SLAM for Indoor Multi-Pedestrian Localization

Yan Cui, Zhi Xiong, Xiaodong Li, and 2 more authors

IEEE Transactions on Mobile Computing, 2026

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FedDD: Combating Federated Noisy Label Learning with Intra-and Inter-Distributional Difference

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

IEEE Transactions on Circuits and Systems for Video Technology, 2026

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Federated Active Learning Under Extreme Non-IID and Global Class Imbalance

Chen-Chen Zong and Sheng-Jun Huang

In Proceedings of the Computer Vision and Pattern Recognition Conference, 2026

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Revisiting Unknowns: Towards Effective and Efficient Open-Set Active Learning

Chen-Chen Zong, Yu-Qi Chi, Xie-Yang Wang, and 2 more authors

In Proceedings of the Computer Vision and Pattern Recognition Conference, 2026

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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

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2025

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

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Inconsistency-Based Federated Active Learning

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

In IJCAI, 2025

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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

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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

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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

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

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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

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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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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

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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

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2023

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

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2021

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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