Class-Incremental Learning via Dual Augmentation. - Fei Zhu 004; Zhen Cheng 003; Xu-Yao Zhang; Cheng-Lin Liu 001 (NeurIPS, 2021)

Rethinking Confidence Calibration for Failure Prediction. - Fei Zhu 004; Zhen Cheng 003; Xu-Yao Zhang; Cheng-Lin Liu 001 (ECCV (25), 2022)

OpenMix: Exploring Outlier Samples for Misclassification Detection. - Fei Zhu 004; Zhen Cheng 003; Xu-Yao Zhang; Cheng-Lin Liu 001 (CVPR, 2023)

Adversarial training with distribution normalization and margin balance. - Zhen Cheng 003; Fei Zhu 004; Xu-Yao Zhang; Cheng-Lin Liu 001 (Pattern Recognit., 2023)

Imitating the oracle: Towards calibrated model for class incremental learning. - Fei Zhu 004; Zhen Cheng 003; Xu-Yao Zhang; Cheng-Lin Liu 001 (Neural Networks, 2023)

RCL: Reliable Continual Learning for Unified Failure Detection. - Fei Zhu 004; Zhen Cheng 003; Xu-Yao Zhang; Cheng-Lin Liu 001; Zhaoxiang Zhang 001 (CVPR, 2024)

Open-world Machine Learning: A Review and New Outlooks. - Fei Zhu 004; Shijie Ma; Zhen Cheng 003; Xu-Yao Zhang; Zhaoxiang Zhang 001; Cheng-Lin Liu 001 (CoRR, 2024)

Enhancing Outlier Knowledge for Few-Shot Out-of-Distribution Detection with Extensible Local Prompts. - Fanhu Zeng; Zhen Cheng 003; Fei Zhu 004; Xu-Yao Zhang (CoRR, 2024)

Revisiting Confidence Estimation: Towards Reliable Failure Prediction. - Fei Zhu 004; Xu-Yao Zhang; Zhen Cheng 003; Cheng-Lin Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Unified Classification and Rejection: A One-versus-all Framework. - Zhen Cheng 003; Xu-Yao Zhang; Cheng-Lin Liu 001 (Mach. Intell. Res., 2024)

Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection. - Fanhu Zeng; Zhen Cheng 003; Fei Zhu 004; Hongxin Wei; Xu-Yao Zhang (ICLR, 2025)

Towards trustworthy dataset distillation. - Shijie Ma; Fei Zhu 004; Zhen Cheng 003; Xu-Yao Zhang (Pattern Recognit., 2025)

Towards Efficient and General-Purpose Few-Shot Misclassification Detection for Vision-Language Models. - Fanhu Zeng; Zhen Cheng 003; Fei Zhu 004; Xu-Yao Zhang (CoRR, 2025)

Breaking the Limits of Reliable Prediction via Generated Data. - Zhen Cheng 003; Fei Zhu 004; Xu-Yao Zhang; Chenglin Liu 001 (Int. J. Comput. Vis., 2025)

Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection. - Zhen Cheng 003; Fei Zhu 004; Xu-Yao Zhang; Cheng-Lin Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning. - Fei Zhu 004; Xu-Yao Zhang; Zhen Cheng 003; Cheng-Lin Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)