Zhen Cheng

According to our database, Zhen Cheng authored at least 16 papers between 2021 and 2025.

Collaborative distances:

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

2025

PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning.

Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng-Lin Liu

IEEE Trans. Pattern Anal. Mach. Intell., August, 2025

Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection.

Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu

IEEE Trans. Neural Networks Learn. Syst., June, 2025

Breaking the Limits of Reliable Prediction via Generated Data.

Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Chenglin Liu

Int. J. Comput. Vis., March, 2025

Towards Efficient and General-Purpose Few-Shot Misclassification Detection for Vision-Language Models.

Fanhu Zeng, Zhen Cheng, Fei Zhu, Xu-Yao Zhang

CoRR, March, 2025

Towards trustworthy dataset distillation.

Shijie Ma, Fei Zhu, Zhen Cheng, Xu-Yao Zhang

Pattern Recognit., 2025

Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection.

Fanhu Zeng, Zhen Cheng, Fei Zhu, Hongxin Wei, Xu-Yao Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Unified Classification and Rejection: A One-versus-all Framework.

Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu

Mach. Intell. Res., October, 2024

Revisiting Confidence Estimation: Towards Reliable Failure Prediction.

Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng-Lin Liu

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Enhancing Outlier Knowledge for Few-Shot Out-of-Distribution Detection with Extensible Local Prompts.

Fanhu Zeng, Zhen Cheng, Fei Zhu, Xu-Yao Zhang

CoRR, 2024

Open-world Machine Learning: A Review and New Outlooks.

Fei Zhu, Shijie Ma, Zhen Cheng, Xu-Yao Zhang, Zhaoxiang Zhang, Cheng-Lin Liu

CoRR, 2024

RCL: Reliable Continual Learning for Unified Failure Detection.

Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu, Zhaoxiang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Imitating the oracle: Towards calibrated model for class incremental learning.

Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu

Neural Networks, July, 2023

Adversarial training with distribution normalization and margin balance.

Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu

Pattern Recognit., April, 2023

OpenMix: Exploring Outlier Samples for Misclassification Detection.

Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Rethinking Confidence Calibration for Failure Prediction.

Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Class-Incremental Learning via Dual Augmentation.

Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021