Feiyang Yang

According to our database, Feiyang Yang authored at least 15 papers between 2020 and 2025.

Collaborative distances:

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

2025

UMSCS: A Novel Unpaired Multimodal Image Segmentation Method Via Cross-Modality Generative and Semi-supervised Learning.

Feiyang Yang, Xiongfei Li, Bo Wang, Peihong Teng, Guifeng Liu

Int. J. Comput. Vis., July, 2025

MMSeg: A novel multi-task learning framework for class imbalance and label scarcity in medical image segmentation.

Feiyang Yang, Xiongfei Li, Bo Wang, Tianyang Zhang, Xinyi Yu, Xingcheng Yi, Rui Zhu

Knowl. Based Syst., 2025

Overcoming the challenges of multi-modal medical image sharing: A novel data distillation strategy via contrastive learning.

Taoli Du, Wenhui Li, Zeyu Wang, Feiyang Yang, Peihong Teng, Xingcheng Yi, Hongyu Chen, Zixuan Wang, Ping Zhang, Tianyang Zhang

Neurocomputing, 2025

HKRG: Hierarchical knowledge integration for radiology report generation.

Bo Wang, Peihong Teng, Hongda Zhang, Feiyang Yang, Zeyu Wang, Xingcheng Yi, Tianyang Zhang, Chunhui Wang, Adriano Jose Tavares, Hao Xu

Expert Syst. Appl., 2025

DMCMFuse: A dual-phase model via multi-dimensional cross-scanning state space model for multi-modality medical image fusion.

Hang Zhao, Zitong Wang, Chenyang Li, Rui Zhu, Feiyang Yang

Displays, 2025

A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image Segmentation.

Feilong Xu, Feiyang Yang, Xiongfei Li, Xiaoli Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

MRL-Seg: Overcoming Imbalance in Medical Image Segmentation With Multi-Step Reinforcement Learning.

Feiyang Yang, Xiongfei Li, Haoran Duan, Feilong Xu, Yawen Huang, Xiaoli Zhang, Yang Long, Yefeng Zheng

IEEE J. Biomed. Health Informatics, February, 2024

MediDRNet: Tackling category imbalance in diabetic retinopathy classification with dual-branch learning and prototypical contrastive learning.

Siying Teng, Bo Wang, Feiyang Yang, Xingcheng Yi, Xinmin Zhang, Yabin Sun

Comput. Methods Programs Biomed., 2024

Multi-modal medical image fusion via three-scale decomposition and structure similarity balanced optimization.

Hang Zhao, Xiaoli Zhang, Zitong Wang, Feiyang Yang, Rui Zhu

Biomed. Signal Process. Control., 2024

Multi-Task Self-Supervised Learning for Medical Image Segmentation.

Bo Wang, Hang Zhao, Xiongfei Li, Mingjie Tian, Bo Huang, Feiyang Yang

Proceedings of the IEEE International Conference on Acoustics, 2024

Patch-Level Knowledge Distillation and Regularization for Missing Modality Medical Image Segmentation.

Ruilin Wang, Xiongfei Li, Mingjie Tian, Feiyang Yang, Xiaoli Zhang

Proceedings of the IEEE International Conference on Acoustics, 2024

2022

Distributed finite-time optimisation for multi-agent systems via event-triggered aperiodically intermittent communication.

Feiyang Yang, Zhiyong Yu, Haijun Jiang

Int. J. Syst. Sci., 2022

2021

Incorporating Translation Quality Estimation into Chinese-Korean Neural Machine Translation.

Feiyu Li, Yahui Zhao, Feiyang Yang, Rongyi Cui

Proceedings of the Chinese Computational Linguistics - 20th China National Conference, 2021

2020

Recognition Method of Important Words in Korean Text Based on Reinforcement Learning.

Feiyang Yang, Yahui Zhao, Rongyi Cui

Proceedings of the Chinese Computational Linguistics - 19th China National Conference, CCL 2020, Hainan, China, October 30, 2020

Cross-Language Generative Automatic Summarization Based on Attention Mechanism.

Feiyang Yang, Rongyi Cui, Zhiwei Yi, Yahui Zhao

Proceedings of the Web Information Systems and Applications, 2020