Zhen Cheng

23 papers A* 4Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection.
IEEE Trans. Neural Networks Learn. Syst.
Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu
2025 J jnl
Breaking the Limits of Reliable Prediction via Generated Data.
Int. J. Comput. Vis.
Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Chenglin Liu
2025 A* conf
Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection.
ICLR
Fanhu Zeng, Zhen Cheng, Fei Zhu, Hongxin Wei, Xu-Yao Zhang
2025 J jnl
PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng-Lin Liu
2025 J jnl
Towards Efficient and General-Purpose Few-Shot Misclassification Detection for Vision-Language Models.
CoRR
Fanhu Zeng, Zhen Cheng, Fei Zhu, Xu-Yao Zhang
2025 J jnl
Towards trustworthy dataset distillation.
Pattern Recognit.
Shijie Ma, Fei Zhu, Zhen Cheng, Xu-Yao Zhang
2024 J jnl
Enhancing Outlier Knowledge for Few-Shot Out-of-Distribution Detection with Extensible Local Prompts.
CoRR
Fanhu Zeng, Zhen Cheng, Fei Zhu, Xu-Yao Zhang
2024 J jnl
Open-world Machine Learning: A Review and New Outlooks.
CoRR
Fei Zhu, Shijie Ma, Zhen Cheng, Xu-Yao Zhang, Zhaoxiang Zhang, Cheng-Lin Liu
2024 J jnl
PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning.
CoRR
Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng-Lin Liu
2024 A* conf
RCL: Reliable Continual Learning for Unified Failure Detection.
CVPR
Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu, Zhaoxiang Zhang
2024 J jnl
Revisiting Confidence Estimation: Towards Reliable Failure Prediction.
CoRR
Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng-Lin Liu
2024 J jnl
Revisiting Confidence Estimation: Towards Reliable Failure Prediction.
IEEE Trans. Pattern Anal. Mach. Intell.
Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng-Lin Liu
2024 J jnl
Unified Classification and Rejection: A One-versus-all Framework.
Mach. Intell. Res.
Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu
2023 J jnl
Adversarial training with distribution normalization and margin balance.
Pattern Recognit.
Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu
2023 J jnl
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection.
CoRR
Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu
2023 J jnl
Imitating the oracle: Towards calibrated model for class incremental learning.
Neural Networks
Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu
2023 A* conf
OpenMix: Exploring Outlier Samples for Misclassification Detection.
CVPR
Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu
2023 J jnl
OpenMix: Exploring Outlier Samples for Misclassification Detection.
CoRR
Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu
2023 J jnl
Rethinking Confidence Calibration for Failure Prediction.
CoRR
Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu
2023 J jnl
Towards Trustworthy Dataset Distillation.
CoRR
Shijie Ma, Fei Zhu, Zhen Cheng, Xu-Yao Zhang
2023 J jnl
Unified Classification and Rejection: A One-versus-All Framework.
CoRR
Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu
2022 — conf
Rethinking Confidence Calibration for Failure Prediction.
ECCV (25)
Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu
2021 A* conf
Class-Incremental Learning via Dual Augmentation.
NeurIPS
Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu