Zhen Cheng - RankMe

23 papers A* 4Journal 18Unranked 1

Year	Rank	Type	Title / 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