Chen-Chen Zong

According to our database, Chen-Chen Zong authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Unified Open Adapter for Open-World Noisy Label Learning: Data-Centric and Learning-Based Insights.

Chen-Chen Zong, Penghui Yang, Ming-Kun Xie, Sheng-Jun Huang

IEEE Trans. Circuits Syst. Video Technol., August, 2025

Learning with Partial Labels from Conflict-Free and Semi-Supervised Perspective.

Chen-Chen Zong, Sheng-Jun Huang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach.

Chen-Chen Zong, Sheng-Jun Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head.

Penghui Yang, Chen-Chen Zong, Sheng-Jun Huang, Lei Feng, Bo An

CoRR, 2024

CACL: Community-Aware Heterogeneous Graph Contrastive Learning for Social Media Bot Detection.

Sirry Chen, Shuo Feng, Songsong Liang, Chen-Chen Zong, Jing Li, Piji Li

CoRR, 2024

Asymmetric Beta Loss for Evidence-Based Safe Semi-Supervised Multi-Label Learning.

Hao-Zhe Liu, Ming-Kun Xie, Chen-Chen Zong, Sheng-Jun Huang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation.

Ye-Wen Wang, Chen-Chen Zong, Ming-Kun Xie, Sheng-Jun Huang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Bidirectional Uncertainty-Based Active Learning for Open-Set Annotation.

Chen-Chen Zong, Ye-Wen Wang, Kun-Peng Ning, Haibo Ye, Sheng-Jun Huang

Proceedings of the Computer Vision - ECCV 2024, 2024

CACL: Community-Aware Heterogeneous Graph Contrastive Learning for Social Media Bot Detection.

Sirry Chen, Shuo Feng, Songsong Liang, Chen-Chen Zong, Jing Li, Piji Li

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Dirichlet-Based Prediction Calibration for Learning with Noisy Labels.

Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie, Sheng-Jun Huang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multi-Label Knowledge Distillation.

Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Noise-Robust Bidirectional Learning with Dynamic Sample Reweighting.

Chen-Chen Zong, Zheng-Tao Cao, Hong-Tao Guo, Yun Du, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang

CoRR, 2022

2021

Asynchronous Active Learning with Distributed Label Querying.

Sheng-Jun Huang, Chen-Chen Zong, Kun-Peng Ning, Haibo Ye

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021