Longzhen Yang - RankMe

18 papers A* 3Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EntropyPrune: Matrix Entropy Guided Visual Token Pruning for Multimodal Large Language Models. CoRR Yahong Wang, Juncheng Wu, Zhangkai Ni, Chengmei Yang, Yihang Liu, Longzhen Yang, Yuyin Zhou, Ying Wen, Lianghua He
2026	J	`jnl`	Visualization methods for explainable medical imaging diagnosis: A survey. Comput. Sci. Rev. Longzhen Yang, Yihang Liu, Lianghua He, Die Hu
2025	A*	`conf`	AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images. AAAI Yihang Liu, Lianghua He, Ying Wen, Longzhen Yang, Hongzhou Chen
2025	J	`jnl`	AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images. CoRR Yihang Liu, Lianghua He, Ying Wen, Longzhen Yang, Hongzhou Chen
2025	J	`jnl`	All You Need Are Random Visual Tokens? Demystifying Token Pruning in VLLMs. CoRR Yahong Wang, Juncheng Wu, Zhangkai Ni, Longzhen Yang, Yihang Liu, Chengmei Yang, Ying Wen, Xianfeng Tang, Hui Liu, Yuyin Zhou, Lianghua He
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	A*	`conf`	RadLAS: A Foundation Model for Interpretable Radiography Image Analysis with Lesion-Aware Self-Supervised Pre-training. ACM Multimedia Yihang Liu, Ying Wen, Longzhen Yang, Lianghua He, Heng Tao Shen
2025	A*	`conf`	Self-Supervised Anatomical Consistency Learning for Vision-Grounded Medical Report Generation. ACM Multimedia Longzhen Yang, Zhangkai Ni, Ying Wen, Yihang Liu, Lianghua He, Heng Tao Shen
2025	J	`jnl`	Self-Supervised Anatomical Consistency Learning for Vision-Grounded Medical Report Generation. CoRR Longzhen Yang, Zhangkai Ni, Ying Wen, Yihang Liu, Lianghua He, Heng Tao Shen
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	J	`jnl`	Visual Neural Decoding via Improved Visual-EEG Semantic Consistency. CoRR Hongzhou Chen, Lianghua He, Yihang Liu, Longzhen Yang
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