A New Multi-Robot Self-Determination Cooperation Method Based on Immune Agent Network. - Yunyuan Gao; Wei Wei (ICRA, 2005)

Multi-Robot Autonomous Cooperation Integrated with Immune Based Dynamic Task Allocation. - Yunyuan Gao; Wei Wei (ISDA (2), 2006)

Task Allocation Algorithm Based On Immune System For Autonomously Cooperative Multi-Robot System1. - Yunyuan Gao (Intell. Autom. Soft Comput., 2009)

Coupling Analysis of EEG Based on Simultaneous Screening - Symbolic Transfer Entropy. - Yunyuan Gao; Yingchun Zhang; Hui Xu Su; Qizhong Zhang (ICNC-FSKD, 2018)

On using supervised clustering analysis to improve classification performance. - Haitao Gan; Rui Huang 001; Zhizeng Luo; Xugang Xi; Yunyuan Gao (Inf. Sci., 2018)

Accurate Object Recognition for Unmanned Aerial Vehicle Electric Power Inspection using an Improved YOLOv2 Algorithm. - Qiang Chen; Yunyuan Gao; Yun Peng; Jianhai Zhang; Ke Sun (DSC, 2019)

Synchronous analysis of brain regions based on multi-scale permutation transfer entropy. - Yunyuan Gao; Huixu Su; Rihui Li; Yingchun Zhang (Comput. Biol. Medicine, 2019)

Bone age assessment based on deep convolution neural network incorporated with segmentation. - Yunyuan Gao; Tao Zhu; Xiaohua Xu 002 (Int. J. Comput. Assist. Radiol. Surg., 2020)

A deep subdomain associate adaptation network for cross-session and cross-subject EEG emotion recognition. - Ming Meng; Jiahao Hu; Yunyuan Gao; Wanzeng Kong; Zhizeng Luo (Biomed. Signal Process. Control., 2022)

EEG emotion recognition based on enhanced SPD matrix and manifold dimensionality reduction. - Yunyuan Gao; Xinyu Sun; Ming Meng; Yingchun Zhang (Comput. Biol. Medicine, 2022)

Hybrid EEG-fNIRS Brain Computer Interface Based on Common Spatial Pattern by Using EEG-Informed General Linear Model. - Yunyuan Gao; Biao Jia; Michael Houston; Yingchun Zhang (IEEE Trans. Instrum. Meas., 2023)

Domain Adaptive Algorithm Based on Multi-Manifold Embedded Distributed Alignment for Brain-Computer Interfaces. - Yunyuan Gao; Yici Liu; Qingshan She; Jianhai Zhang (IEEE J. Biomed. Health Informatics, 2023)

Multi-Source geometric metric transfer learning for EEG classification. - Xianxiong Zhang; Qingshan She; Tongcai Tan; Yunyuan Gao; Yuliang Ma 002; Jianhai Zhang (Biomed. Signal Process. Control., 2023)

Optimal channel and frequency band-based feature selection for motor imagery electroencephalogram classification. - Ming Meng; Zhichao Dong 002; Yunyuan Gao; Qingshan She (Int. J. Imaging Syst. Technol., 2023)

Classification of Working Memory Loads via Assessing Broken Detailed Balance of EEG-FNIRS Neurovascular Coupling Measures. - Yunyuan Gao; Hongming Liu; Feng Fang; Yingchun Zhang (IEEE Trans. Biomed. Eng., 2023)

Multi-domain feature analysis method of MI-EEG signal based on Sparse Regularity Tensor-Train decomposition. - Yunyuan Gao; Congrui Zhang; Feng Fang; Jared Cammon; Yingchun Zhang (Comput. Biol. Medicine, 2023)

EEG-based emotion recognition with cascaded convolutional recurrent neural networks. - Ming Meng; Yu Zhang 009; Yuliang Ma 002; Yunyuan Gao; Wanzeng Kong (Pattern Anal. Appl., 2023)

ULFAC-Net: Ultra-Lightweight Fully Asymmetric Convolutional Network for Skin Lesion Segmentation. - Yuliang Ma 002; Liping Wu; Yunyuan Gao; Farong Gao; Jianhai Zhang; Zhizeng Luo (IEEE J. Biomed. Health Informatics, 2023)

Formative semi-supervised learning based on adaptive combined model for brain-computer interface. - Yunyuan Gao; Mengting Li; Zhen Cao; Ming Meng (Int. J. Mach. Learn. Cybern., 2024)

Application of a multi-source multi-task weight adaptation framework for cross-domain EEG emotion recognition(MS-MWA). - Yijun Zhu; Yuliang Ma 002; Ming Meng; Zhizeng Luo; Yunyuan Gao; Mingxu Sun (Signal Image Video Process., 2024)

Emotion recognition from multichannel EEG signals based on low-rank subspace self-representation features. - Yunyuan Gao; Yunfeng Xue; Jian Gao (Biomed. Signal Process. Control., 2025)

EFDFNet: A multimodal deep fusion network based on feature disentanglement for attention state classification. - Haiqi Xu; Qingshan She; Ming Meng; Yunyuan Gao; Yingchun Zhang (Biomed. Signal Process. Control., 2025)

A novel multi-morphological representation approach for multi-source EEG signals. - Yunyuan Gao; Yici Liu; Ming Meng; Feng Fang; Michael Houston; Yingchun Zhang (Neurocomputing, 2025)

Multi-domain feature analysis of MI-EEG signals using tensor train decomposition and projected gradient Non-negative Matrix Factorization. - Yunyuan Gao; Wang Xie; Zhizeng Luo; Michael Houston; Yingchun Zhang (Neurocomputing, 2025)

MVC-former adaptation: A multi-view convolution transformer-based domain adaptation framework for cross-subject motor imagery classification. - Yining Liang; Ming Meng; Yunyuan Gao; Xugang Xi (Neurocomputing, 2025)

Decouple and Rebalance: Towards effective joint learning for EEG-fNIRS integration. - Ming Meng; Danyang Hao; Yunyuan Gao; Luya Li; Maofeng Wang; Xugang Xi (Neurocomputing, 2025)

Discriminative Adversarial Network Based on Spatial-Temporal-Graph Fusion for Motor Imagery Recognition. - Qingshan She; Tie Chen; Feng Fang; Yunyuan Gao; Yingchun Zhang (IEEE Trans. Comput. Soc. Syst., 2025)