A Candidate Forwarder Set Based Channel Assignment for Opportunistic Routing in Multi-radio Wireless Mesh Networks. - Shiming He; Dafang Zhang 001; Kun Xie 001; Xia-an Bi; Hong Qiao; Ji Zhang; Bin Zeng 001 (CWSN, 2012)

Signature Restoration for Enhancing Robustness of FPGA IP Designs. - Jing Long; Dafang Zhang 001; Wei Liang 005; Xia-an Bi (Int. J. Inf. Secur. Priv., 2015)

A Novel Secure Coding-Based Approach for Multi-cast Transmission. - Zuoting Ning; Dafang Zhang 001; Kun Xie 001; Xia-an Bi (HPCC/SmartCity/DSS, 2016)

Population dynamic evolutionary algorithm for virtual routers running on multiprocessors system. - Xia-an Bi; Qi Sun (ICNC-FSKD, 2017)

Clustering Boundary Cutting for Packet Classification Based on Distribution Density. - Xia-an Bi; Yanwen Zhou; Jianping Yu (ISPA/IUCC, 2017)

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)

Analysis of Alzheimer's Disease Based on the Random Neural Network Cluster in fMRI. - Xia-an Bi; Qin Jiang; Qi Sun; Qing Shu; Yingchao Liu (Frontiers Neuroinformatics, 2018)

The Genetic-Evolutionary Random Support Vector Machine Cluster Analysis in Autism Spectrum Disorder. - Xia-an Bi; Yingchao Liu; Qi Sun; Xianhao Luo; Haiyan Tan; Jie Chen; Nianyin Zeng (IEEE Access, 2019)

Branch tire packet classification algorithm based on single-linkage clustering. - Xia-an Bi; Xianhao Luo; Qi Sun (Math. Comput. Simul., 2019)

Morbigenous brain region and gene detection with a genetically evolved random neural network cluster approach in late mild cognitive impairment. - Xia-an Bi; Yingchao Liu; Yiming Xie; Xi Hu; Qinghua Jiang (Bioinform., 2020)

Multimodal Data Analysis of Alzheimer's Disease Based on Clustering Evolutionary Random Forest. - Xia-an Bi; Xi Hu; Hao Wu; Yang Wang (IEEE J. Biomed. Health Informatics, 2020)

An Efficient WRF Framework for Discovering Risk Genes and Abnormal Brain Regions in Parkinson's Disease Based on Imaging Genetics Data. - Xia-An Bi; Zhao-Xu Xing; Rui-Hui Xu; Xi Hu (J. Comput. Sci. Technol., 2021)

A novel CERNNE approach for predicting Parkinson's Disease-associated genes and brain regions based on multimodal imaging genetics data. - Xia-an Bi; Xi Hu; Yiming Xie; Hao Wu (Medical Image Anal., 2021)

Detecting Risk Gene and Pathogenic Brain Region in EMCI Using a Novel GERF Algorithm Based on Brain Imaging and Genetic Data. - Xia-an Bi; Wenyan Zhou; Lou Li; Zhao-Xu Xing (IEEE J. Biomed. Health Informatics, 2021)

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)

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)

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)

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 001; Luyun Xu (Briefings Bioinform., 2022)

Clustering-Evolutionary Random Support Vector Machine Ensemble for fMRI-Based Asperger Syndrome Diagnosis. - Xia-an Bi; Hao Wu; Xi Hu; Yu Fu; Shaoliang Peng (Comput. J., 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)

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)

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 001; Zhengliang Liu; Tianming Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 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)

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 001; Zhengliang Liu; Xiang Li 001; Tianming Liu 001 (IEEE Trans. Medical Imaging, 2024)

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 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

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)

FHG-GAN: Fuzzy Hypergraph Generative Adversarial Network With Large Foundation Models for Alzheimer's Disease Risk Prediction. - Xia-An Bi; Zicheng Yang; Dayou Chen; Jie Wang; Zhao-Xu Xing; Luyun Xu (IEEE Trans. Fuzzy Syst., 2025)