Feiyang Yang

21 papers A* 2Misc 3Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient 3D medical image segmentation via Single-Slice Scribble Annotations: A near unsupervised approach.
Biomed. Signal Process. Control.
Peihong Teng, Shaonan Yu, Binyu Zhang, Feiyang Yang, Tianyang Zhang, Bo Wang, Yiqing Yang, Guifeng Liu
2026 J jnl
Large language models enhance reinforcement learning for public health resource allocation.
Appl. Soft Comput.
Hao Yang, Chijun Zhang, Feiyang Yang, Zeynep Ertem, Xinwei Zhang, Qi Wang, Wenze Guan, Haoyang Wang
2026 J jnl
Prompt-to-policy: Leveraging large language models to guide deep reinforcement learning in public health emergencies.
Comput. Methods Programs Biomed.
Hao Yang, Chijun Zhang, Feiyang Yang, Xinwei Zhang, Yugang Zhao, He Sun
2026 J jnl
RL-CoSeg: A reinforcement learning-based collaborative localization and segmentation framework for medical image.
Expert Syst. Appl.
Feilong Xu, Feiyang Yang, Xiaoli Zhang, Zhaojun Liu
2026 J jnl
Toward bias-resilient radiology report generation: Hierarchical contrastive learning and adaptive knowledge graph integration.
Knowl. Based Syst.
Bo Wang, Deming Guo, Feiyang Yang, Hongda Zhang, Peihong Teng, Adriano Tavares, Hao Xu
2025 A* conf
A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image Segmentation.
AAAI
Feilong Xu, Feiyang Yang, Xiongfei Li, Xiaoli Zhang
2025 A* conf
Cross-Counter-Repeat Attention for Enhanced Understanding of Visual Semantics in Radiology Report Generation.
ACM Multimedia
Xiaolei Bo, Feiyang Yang, Feilong Xu, Xiaoli Zhang
2025 J jnl
DMCMFuse: A dual-phase model via multi-dimensional cross-scanning state space model for multi-modality medical image fusion.
Displays
Hang Zhao, Zitong Wang, Chenyang Li, Rui Zhu, Feiyang Yang
2025 J jnl
HKRG: Hierarchical knowledge integration for radiology report generation.
Expert Syst. Appl.
Bo Wang, Peihong Teng, Hongda Zhang, Feiyang Yang, Zeyu Wang, Xingcheng Yi, Tianyang Zhang, Chunhui Wang, Adriano Jose Tavares, Hao Xu
2025 J jnl
MMSeg: A novel multi-task learning framework for class imbalance and label scarcity in medical image segmentation.
Knowl. Based Syst.
Feiyang Yang, Xiongfei Li, Bo Wang, Tianyang Zhang, Xinyi Yu, Xingcheng Yi, Rui Zhu
2025 J jnl
Overcoming the challenges of multi-modal medical image sharing: A novel data distillation strategy via contrastive learning.
Neurocomputing
Taoli Du, Wenhui Li, Zeyu Wang, Feiyang Yang, Peihong Teng, Xingcheng Yi, Hongyu Chen, Zixuan Wang, Ping Zhang, Tianyang Zhang
2025 J jnl
UMSCS: A Novel Unpaired Multimodal Image Segmentation Method Via Cross-Modality Generative and Semi-supervised Learning.
Int. J. Comput. Vis.
Feiyang Yang, Xiongfei Li, Bo Wang, Peihong Teng, Guifeng Liu
2024 J jnl
MRL-Seg: Overcoming Imbalance in Medical Image Segmentation With Multi-Step Reinforcement Learning.
IEEE J. Biomed. Health Informatics
Feiyang Yang, Xiongfei Li, Haoran Duan, Feilong Xu, Yawen Huang, Xiaoli Zhang, Yang Long, Yefeng Zheng
2024 J jnl
MediDRNet: Tackling category imbalance in diabetic retinopathy classification with dual-branch learning and prototypical contrastive learning.
Comput. Methods Programs Biomed.
Siying Teng, Bo Wang, Feiyang Yang, Xingcheng Yi, Xinmin Zhang, Yabin Sun
2024 Misc conf
Multi-Task Self-Supervised Learning for Medical Image Segmentation.
ICASSP
Bo Wang, Hang Zhao, Xiongfei Li, Mingjie Tian, Bo Huang, Feiyang Yang
2024 J jnl
Multi-modal medical image fusion via three-scale decomposition and structure similarity balanced optimization.
Biomed. Signal Process. Control.
Hang Zhao, Xiaoli Zhang, Zitong Wang, Feiyang Yang, Rui Zhu
2024 Misc conf
Patch-Level Knowledge Distillation and Regularization for Missing Modality Medical Image Segmentation.
ICASSP
Ruilin Wang, Xiongfei Li, Mingjie Tian, Feiyang Yang, Xiaoli Zhang
2022 J jnl
Distributed finite-time optimisation for multi-agent systems via event-triggered aperiodically intermittent communication.
Int. J. Syst. Sci.
Feiyang Yang, Zhiyong Yu, Haijun Jiang
2021 — conf
Incorporating Translation Quality Estimation into Chinese-Korean Neural Machine Translation.
CCL
Feiyu Li, Yahui Zhao, Feiyang Yang, Rongyi Cui
2020 Misc conf
Cross-Language Generative Automatic Summarization Based on Attention Mechanism.
WISA
Feiyang Yang, Rongyi Cui, Zhiwei Yi, Yahui Zhao
2020 — conf
Recognition Method of Important Words in Korean Text Based on Reinforcement Learning.
CNCL
Feiyang Yang, Yahui Zhao, Rongyi Cui