| 2025 | CVPR | Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach. | Chen-Chen Zong, Sheng-Jun Huang |
| 2025 | ICASSP | Learning with Partial Labels from Conflict-Free and Semi-Supervised Perspective. | Chen-Chen Zong, Sheng-Jun Huang |
| 2025 | IJCAI | Inconsistency-Based Federated Active Learning. | Chen-Chen Zong, Tong Jin, Sheng-Jun Huang |
| 2025 | KDD | Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head. | Penghui Yang, Chen-Chen Zong, Sheng-Jun Huang, Lei Feng, Bo An |
| 2024 | AAAI | Dirichlet-Based Prediction Calibration for Learning with Noisy Labels. | Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie, Sheng-Jun Huang |
| 2024 | ACL | 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 |
| 2024 | ECCV | Bidirectional Uncertainty-Based Active Learning for Open-Set Annotation. | Chen-Chen Zong, Ye-Wen Wang, Kun-Peng Ning, Haibo Ye, Sheng-Jun Huang |
| 2024 | KDD | Asymmetric Beta Loss for Evidence-Based Safe Semi-Supervised Multi-Label Learning. | Hao-Zhe Liu, Ming-Kun Xie, Chen-Chen Zong, Sheng-Jun Huang |
| 2023 | ICCV | Multi-Label Knowledge Distillation. | Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang |
| 2021 | IJCAI | Asynchronous Active Learning with Distributed Label Querying. | Sheng-Jun Huang, Chen-Chen Zong, Kun-Peng Ning, Haibo Ye |