Chen-Chen Zong

22 papers A* 6A 1Misc 1Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Federated Active Learning Under Extreme Non-IID and Global Class Imbalance.
CoRR
Chen-Chen Zong, Sheng-Jun Huang
2026 J jnl
Revisiting Unknowns: Towards Effective and Efficient Open-Set Active Learning.
CoRR
Chen-Chen Zong, Yu-Qi Chi, Xie-Yang Wang, Yan Cui, Sheng-Jun Huang
2025 J jnl
A Unified Open Adapter for Open-World Noisy Label Learning: Data-Centric and Learning-Based Insights.
IEEE Trans. Circuits Syst. Video Technol.
Chen-Chen Zong, Penghui Yang, Ming-Kun Xie, Sheng-Jun Huang
2025 — conf
Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head.
KDD (2)
Penghui Yang, Chen-Chen Zong, Sheng-Jun Huang, Lei Feng, Bo An
2025 A* conf
Inconsistency-Based Federated Active Learning.
IJCAI
Chen-Chen Zong, Tong Jin, Sheng-Jun Huang
2025 Misc conf
Learning with Partial Labels from Conflict-Free and Semi-Supervised Perspective.
ICASSP
Chen-Chen Zong, Sheng-Jun Huang
2025 A* conf
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach.
CVPR
Chen-Chen Zong, Sheng-Jun Huang
2025 J jnl
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach.
CoRR
Chen-Chen Zong, Sheng-Jun Huang
2024 A* conf
Asymmetric Beta Loss for Evidence-Based Safe Semi-Supervised Multi-Label Learning.
KDD
Hao-Zhe Liu, Ming-Kun Xie, Chen-Chen Zong, Sheng-Jun Huang
2024 J jnl
Bidirectional Uncertainty-Based Active Learning for Open Set Annotation.
CoRR
Chen-Chen Zong, Ye-Wen Wang, Kun-Peng Ning, Haibo Ye, Sheng-Jun Huang
2024 — conf
Bidirectional Uncertainty-Based Active Learning for Open-Set Annotation.
ECCV (28)
Chen-Chen Zong, Ye-Wen Wang, Kun-Peng Ning, Haibo Ye, Sheng-Jun Huang
2024 — conf
CACL: Community-Aware Heterogeneous Graph Contrastive Learning for Social Media Bot Detection.
ACL (Findings)
Sirry Chen, Shuo Feng, Songsong Liang, Chen-Chen Zong, Jing Li, Piji Li
2024 J jnl
CACL: Community-Aware Heterogeneous Graph Contrastive Learning for Social Media Bot Detection.
CoRR
Sirry Chen, Shuo Feng, Songsong Liang, Chen-Chen Zong, Jing Li, Piji Li
2024 A conf
Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation.
ICME
Ye-Wen Wang, Chen-Chen Zong, Ming-Kun Xie, Sheng-Jun Huang
2024 J jnl
Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation.
CoRR
Ye-Wen Wang, Chen-Chen Zong, Ming-Kun Xie, Sheng-Jun Huang
2024 A* conf
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels.
AAAI
Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie, Sheng-Jun Huang
2024 J jnl
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels.
CoRR
Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie, Sheng-Jun Huang
2024 J jnl
Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head.
CoRR
Penghui Yang, Chen-Chen Zong, Sheng-Jun Huang, Lei Feng, Bo An
2023 A* conf
Multi-Label Knowledge Distillation.
ICCV
Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
2023 J jnl
Multi-Label Knowledge Distillation.
CoRR
Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
2022 J jnl
Noise-Robust Bidirectional Learning with Dynamic Sample Reweighting.
CoRR
Chen-Chen Zong, Zheng-Tao Cao, Hong-Tao Guo, Yun Du, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang
2021 A* conf
Asynchronous Active Learning with Distributed Label Querying.
IJCAI
Sheng-Jun Huang, Chen-Chen Zong, Kun-Peng Ning, Haibo Ye