Variational Transformer: A Framework Beyond the Trade-off between Accuracy and Diversity for Image Captioning. - Longzhen Yang; Shaohua Shang; Yihang Liu; Yitao Peng; Lianghua He (CoRR, 2022)

MDM: Visual Explanations for Neural Networks via Multiple Dynamic Mask. - Yitao Peng; Longzhen Yang; Yihang Liu; Lianghua He (CoRR, 2022)

DProtoNet: Decoupling Prototype Activation via Multiple Dynamic Masks. - Yitao Peng; Yihang Liu; Longzhen Yang; Lianghua He (CoRR, 2022)

Hierarchical Dynamic Masks for Visual Explanation of Neural Networks. - Yitao Peng; Longzhen Yang; Yihang Liu; Lianghua He (CoRR, 2023)

FeaInfNet: Diagnosis in Medical Image with Feature-Driven Inference and Visual Explanations. - Yitao Peng; Lianghua He; Die Hu 002; Yihang Liu; Longzhen Yang; Shaohua Shang (CoRR, 2023)

Hierarchical Salient Patch Identification for Interpretable Fundus Disease Localization. - Yitao Peng; Lianghua He; Die Hu 002 (BIBM, 2024)

Hierarchical Dynamic Masks for Visual Explanation of Neural Networks. - Yitao Peng; Lianghua He; Die Hu 002; Yihang Liu; Longzhen Yang; Shaohua Shang (IEEE Trans. Multim., 2024)

Decoupling Deep Learning for Enhanced Image Recognition Interpretability. - Yitao Peng; Lianghua He; Die Hu 002; Yihang Liu; Longzhen Yang; Shaohua Shang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Variational Transformer: A Framework Beyond the Tradeoff Between Accuracy and Diversity for Image Captioning. - Longzhen Yang; Lianghua He; Die Hu 002; Yihang Liu; Yitao Peng; Hongzhou Chen; MengChu Zhou (IEEE Trans. Neural Networks Learn. Syst., 2025)

One Prototype Is Enough: Single-Prototype Activation for Interpretable Image Classification. - Yitao Peng; Lianghua He; Die Hu 002 (CoRR, 2025)

FeaInfNet: Diagnosis of Medical Images With Feature-Driven Inference and Visual Explanations. - Yitao Peng; Lianghua He; Die Hu 002; Yihang Liu; Longzhen Yang; Shaohua Shang (IEEE J. Biomed. Health Informatics, 2025)