Zhen Cheng

Orcid: 0000-0003-0114-7269

Affiliations:
  • Chinese Academy of Sciences, Institute of Automation, State Key Laboratory of Multimodal Artificial Intelligence Systems, Beijing, China (PhD 2024)


According to our database1, Zhen Cheng authored at least 16 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2025

Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection.
IEEE Trans. Neural Networks Learn. Syst., June, 2025

Breaking the Limits of Reliable Prediction via Generated Data.
Int. J. Comput. Vis., March, 2025

Towards Efficient and General-Purpose Few-Shot Misclassification Detection for Vision-Language Models.
CoRR, March, 2025

Towards trustworthy dataset distillation.
Pattern Recognit., 2025

Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Unified Classification and Rejection: A One-versus-all Framework.
Mach. Intell. Res., October, 2024

Revisiting Confidence Estimation: Towards Reliable Failure Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Enhancing Outlier Knowledge for Few-Shot Out-of-Distribution Detection with Extensible Local Prompts.
CoRR, 2024

Open-world Machine Learning: A Review and New Outlooks.
CoRR, 2024

RCL: Reliable Continual Learning for Unified Failure Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Imitating the oracle: Towards calibrated model for class incremental learning.
Neural Networks, July, 2023

Adversarial training with distribution normalization and margin balance.
Pattern Recognit., April, 2023

OpenMix: Exploring Outlier Samples for Misclassification Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Rethinking Confidence Calibration for Failure Prediction.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Class-Incremental Learning via Dual Augmentation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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