Yitao Peng - RankMe

12 papers Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FeaInfNet: Diagnosis of Medical Images With Feature-Driven Inference and Visual Explanations. IEEE J. Biomed. Health Informatics Yitao Peng, Lianghua He, Die Hu, Yihang Liu, Longzhen Yang, Shaohua Shang
2025	J	`jnl`	One Prototype Is Enough: Single-Prototype Activation for Interpretable Image Classification. CoRR Yitao Peng, Lianghua He, Die Hu
2025	J	`jnl`	Variational Transformer: A Framework Beyond the Tradeoff Between Accuracy and Diversity for Image Captioning. IEEE Trans. Neural Networks Learn. Syst. Longzhen Yang, Lianghua He, Die Hu, Yihang Liu, Yitao Peng, Hongzhou Chen, MengChu Zhou
2024	J	`jnl`	Decoupling Deep Learning for Enhanced Image Recognition Interpretability. ACM Trans. Multim. Comput. Commun. Appl. Yitao Peng, Lianghua He, Die Hu, Yihang Liu, Longzhen Yang, Shaohua Shang
2024	J	`jnl`	Hierarchical Dynamic Masks for Visual Explanation of Neural Networks. IEEE Trans. Multim. Yitao Peng, Lianghua He, Die Hu, Yihang Liu, Longzhen Yang, Shaohua Shang
2024	—	`conf`	Hierarchical Salient Patch Identification for Interpretable Fundus Disease Localization. BIBM Yitao Peng, Lianghua He, Die Hu
2024	J	`jnl`	Hierarchical Salient Patch Identification for Interpretable Fundus Disease Localization. CoRR Yitao Peng, Lianghua He, Die Hu
2023	J	`jnl`	FeaInfNet: Diagnosis in Medical Image with Feature-Driven Inference and Visual Explanations. CoRR Yitao Peng, Lianghua He, Die Hu, Yihang Liu, Longzhen Yang, Shaohua Shang
2023	J	`jnl`	Hierarchical Dynamic Masks for Visual Explanation of Neural Networks. CoRR Yitao Peng, Longzhen Yang, Yihang Liu, Lianghua He
2022	J	`jnl`	DProtoNet: Decoupling Prototype Activation via Multiple Dynamic Masks. CoRR Yitao Peng, Yihang Liu, Longzhen Yang, Lianghua He
2022	J	`jnl`	MDM: Visual Explanations for Neural Networks via Multiple Dynamic Mask. CoRR Yitao Peng, Longzhen Yang, Yihang Liu, Lianghua He
2022	J	`jnl`	Variational Transformer: A Framework Beyond the Trade-off between Accuracy and Diversity for Image Captioning. CoRR Longzhen Yang, Shaohua Shang, Yihang Liu, Yitao Peng, Lianghua He