Longzhen Yang

According to our database, Longzhen Yang authored at least 19 papers between 2022 and 2026.

Collaborative distances:

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

2026

A General Framework for Efficient Medical Image Analysis via Shared Attention Vision Transformer.

Yihang Liu, Ying Wen, Longzhen Yang, Lianghua He, MengChu Zhou

IEEE Trans. Medical Imaging, May, 2026

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model.

Yihang Liu, Ying Wen, Jiaxiong Yang, Longzhen Yang, Lianghua He, Heng Tao Shen

CoRR, April, 2026

EntropyPrune: Matrix Entropy Guided Visual Token Pruning for Multimodal Large Language Models.

Yahong Wang, Juncheng Wu, Zhangkai Ni, Chengmei Yang, Yihang Liu, Longzhen Yang, Yuyin Zhou, Ying Wen, Lianghua He

CoRR, February, 2026

Visualization methods for explainable medical imaging diagnosis: A survey.

Longzhen Yang, Yihang Liu, Lianghua He, Die Hu

Comput. Sci. Rev., 2026

2025

All You Need Are Random Visual Tokens? Demystifying Token Pruning in VLLMs.

Yahong Wang, Juncheng Wu, Zhangkai Ni, Longzhen Yang, Yihang Liu, Chengmei Yang, Ying Wen, Xianfeng Tang, Hui Liu, Yuyin Zhou, Lianghua He

CoRR, December, 2025

FeaInfNet: Diagnosis of Medical Images With Feature-Driven Inference and Visual Explanations.

Yitao Peng, Lianghua He, Die Hu, Yihang Liu, Longzhen Yang, Shaohua Shang

IEEE J. Biomed. Health Informatics, June, 2025

Variational Transformer: A Framework Beyond the Tradeoff Between Accuracy and Diversity for Image Captioning.

Longzhen Yang, Lianghua He, Die Hu, Yihang Liu, Yitao Peng, Hongzhou Chen, MengChu Zhou

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

Self-Supervised Anatomical Consistency Learning for Vision-Grounded Medical Report Generation.

Longzhen Yang, Zhangkai Ni, Ying Wen, Yihang Liu, Lianghua He, Heng Tao Shen

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

RadLAS: A Foundation Model for Interpretable Radiography Image Analysis with Lesion-Aware Self-Supervised Pre-training.

Yihang Liu, Ying Wen, Longzhen Yang, Lianghua He, Heng Tao Shen

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

CoSMIC: Continual Self-Supervised Learning for Multi-Domain Medical Imaging Via Conditional Mutual Information Maximization.

Yihang Liu, Ying Wen, Longzhen Yang, Lianghua He, Heng Tao Shen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images.

Yihang Liu, Lianghua He, Ying Wen, Longzhen Yang, Hongzhou Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Decoupling Deep Learning for Enhanced Image Recognition Interpretability.

Yitao Peng, Lianghua He, Die Hu, Yihang Liu, Longzhen Yang, Shaohua Shang

ACM Trans. Multim. Comput. Commun. Appl., October, 2024

Hierarchical Dynamic Masks for Visual Explanation of Neural Networks.

Yitao Peng, Lianghua He, Die Hu, Yihang Liu, Longzhen Yang, Shaohua Shang

IEEE Trans. Multim., 2024

Visual Neural Decoding via Improved Visual-EEG Semantic Consistency.

Hongzhou Chen, Lianghua He, Yihang Liu, Longzhen Yang

CoRR, 2024

2023

FeaInfNet: Diagnosis in Medical Image with Feature-Driven Inference and Visual Explanations.

Yitao Peng, Lianghua He, Die Hu, Yihang Liu, Longzhen Yang, Shaohua Shang

CoRR, 2023

Hierarchical Dynamic Masks for Visual Explanation of Neural Networks.

Yitao Peng, Longzhen Yang, Yihang Liu, Lianghua He

CoRR, 2023

2022

DProtoNet: Decoupling Prototype Activation via Multiple Dynamic Masks.

Yitao Peng, Yihang Liu, Longzhen Yang, Lianghua He

CoRR, 2022

MDM: Visual Explanations for Neural Networks via Multiple Dynamic Mask.

Yitao Peng, Longzhen Yang, Yihang Liu, Lianghua He

CoRR, 2022

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