Brain-Inspired Fuzzy Graph Convolution Network for Alzheimer's Disease Diagnosis Based on Imaging Genetics Data - Xia-An Bi; YangJun Huang; Wenzhuo Shen; Zicheng Yang; Yuhua Mao; Luyun Xu; Zhonghua Liu (IEEE Trans. Fuzzy Syst., 2025)

Community Graph Convolution Neural Network for Alzheimer's Disease Classification and Pathogenetic Factors Identification - Xia-An Bi; Ke Chen; Siyu Jiang; Sheng Luo; Wenyan Zhou; Zhao-Xu Xing; Luyun Xu; Zhengliang Liu; Tianming Liu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Structure Mapping Generative Adversarial Network for Multi-View Information Mapping Pattern Mining - Xia-an Bi; YangJun Huang; Zicheng Yang; Ke Chen; Zhao-Xu Xing; Luyun Xu; Xiang Li; Zhengliang Liu; Tianming Liu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

CE-GAN: Community Evolutionary Generative Adversarial Network for Alzheimer's Disease Risk Prediction - Xia-An Bi; Zicheng Yang; YangJun Huang; Zhao-Xu Xing; Luyun Xu; Zihao Wu; Zhengliang Liu; Xiang Li; Tianming Liu (IEEE Trans. Medical Imaging, 2024)

Hypergraph Structural Information Aggregation Generative Adversarial Networks for Diagnosis and Pathogenetic Factors Identification of Alzheimer's Disease With Imaging Genetic Data - Xia-An Bi; Yu Wang; Sheng Luo; Ke Chen; Zhao-Xu Xing; Luyun Xu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Explainable and programmable hypergraph convolutional network for imaging genetics data fusion - Xia-an Bi; Sheng Luo; Siyu Jiang; Yu Wang; Zhao-Xu Xing; Luyun Xu (Inf. Fusion, 2023)

IHGC-GAN: influence hypergraph convolutional generative adversarial network for risk prediction of late mild cognitive impairment based on imaging genetic data - Xia-an Bi; Lou Li; Zizheng Wang; Yu Wang; Xun Luo; Luyun Xu (Briefings Bioinform., 2022)

Feature aggregation graph convolutional network based on imaging genetic data for diagnosis and pathogeny identification of Alzheimer's disease - Xia-an Bi; Wenyan Zhou; Sheng Luo; Yuhua Mao; Xi Hu; Bin Zeng; Luyun Xu (Briefings Bioinform., 2022)

A novel generation adversarial network framework with characteristics aggregation and diffusion for brain disease classification and feature selection - Xia-an Bi; Yuhua Mao; Sheng Luo; Hao Wu; Lixia Zhang; Xun Luo; Luyun Xu (Briefings Bioinform., 2022)

Pathogeny Detection for Mild Cognitive Impairment via Weighted Evolutionary Random Forest With Brain Imaging and Genetic Data - Xia-an Bi; Zhao-Xu Xing; Wenyan Zhou; Lou Li; Luyun Xu (IEEE J. Biomed. Health Informatics, 2022)

Identification of differential brain regions in MCI progression via clustering-evolutionary weighted SVM ensemble algorithm - Xia-an Bi; Yiming Xie; Hao Wu; Luyun Xu (Frontiers Comput. Sci., 2021)

Effects of asymmetric knowledge spillovers on the stability of horizontal and vertical R&D cooperation - Deming Zeng; Luyun Xu; Xia-an Bi (Comput. Math. Organ. Theory, 2017)

How does knowledge network affect a firm's explorative innovation? The contingent role of R&D collaborations - Luyun Xu; Jian Li; Deming Zeng (Technol. Anal. Strateg. Manag., 2017)

Multi-users S-rough sets model based on three-way decisions - He Lin; Qianyi Wang; Penghui Guo; Tao Guan; Luyun Xu (J. Intell. Fuzzy Syst., 2016)

Multi-users S-rough sets model based on three-way decisions - Luyun Xu; He Lin; Qianyi Wang; Haibo Li (12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015, Zhangjiajie, China, August 15-17, 2015, 2015)