Xia-an Bi

32 papers Journal 27Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
DALNN: Dual Attention Learning Neural Network for Diagnosis of Autism Spectrum Disorders and Exploration of Lesion Brain Regions.
IEEE Trans. Comput. Soc. Syst.
Jinxiong Fang, Da-Fang Zhang, Kun Xie, Luyun Xu, Xia-an Bi
2026 J jnl
HSCFA: Hierarchical sparse and collaborative fusion attention with large foundation models for diagnosing Alzheimer's disease.
Inf. Fusion
Zhaoxu Xing, Da-Fang Zhang, Kun Xie, Jinxiong Fang, Xia-an Bi
2025 J jnl
Brain-Inspired Fuzzy Graph Convolution Network for Alzheimer's Disease Diagnosis Based on Imaging Genetics Data.
IEEE Trans. Fuzzy Syst.
Xia-an Bi, YangJun Huang, Wenzhuo Shen, Zicheng Yang, Yuhua Mao, Luyun Xu, Zhonghua Liu
2025 J jnl
CPST-GAN: Conditional Probabilistic State Transition Generative Adversarial Network With the Biomedical Large Foundation Models.
IEEE Trans. Neural Networks Learn. Syst.
Qiong Wang, Luyun Xu, Yinglu Shan, Wenzhuo Shen, Lou Li, Xia-an Bi, Zhonghua Liu
2025 J jnl
Community Graph Convolution Neural Network for Alzheimer's Disease Classification and Pathogenetic Factors Identification.
IEEE Trans. Neural Networks Learn. Syst.
Xia-an Bi, Ke Chen, Siyu Jiang, Sheng Luo, Wenyan Zhou, Zhao-Xu Xing, Luyun Xu, Zhengliang Liu, Tianming Liu
2025 J jnl
FHG-GAN: Fuzzy Hypergraph Generative Adversarial Network With Large Foundation Models for Alzheimer's Disease Risk Prediction.
IEEE Trans. Fuzzy Syst.
Xia-an Bi, Zicheng Yang, Dayou Chen, Jie Wang, Zhao-Xu Xing, Luyun Xu
2025 J jnl
MSAFF: Multi-Way Soft Attention Fusion Framework With the Large Foundation Models for the Diagnosis of Alzheimer's Disease.
IEEE Trans. Neural Networks Learn. Syst.
Xia-an Bi, Wenzhuo Shen, Yinglu Shan, Dayou Chen, Luyun Xu, Ke Chen, Zhonghua Liu
2025 — conf
Multi-Level Learning and Interactive Fusion Algorithm Combined with Large Foundation Models for Alzheimer's Disease Diagnosis.
BIBM
Jinxiong Fang, Da-Fang Zhang, Kun Xie, Luyun Xu, Xia-an Bi
2024 J jnl
CE-GAN: Community Evolutionary Generative Adversarial Network for Alzheimer's Disease Risk Prediction.
IEEE Trans. Medical Imaging
Xia-an Bi, Zicheng Yang, YangJun Huang, Zhao-Xu Xing, Luyun Xu, Zihao Wu, Zhengliang Liu, Xiang Li, Tianming Liu
2024 J jnl
Hypergraph Structural Information Aggregation Generative Adversarial Networks for Diagnosis and Pathogenetic Factors Identification of Alzheimer's Disease With Imaging Genetic Data.
IEEE Trans. Neural Networks Learn. Syst.
Xia-an Bi, Yu Wang, Sheng Luo, Ke Chen, Zhao-Xu Xing, Luyun Xu
2024 J jnl
Structure Mapping Generative Adversarial Network for Multi-View Information Mapping Pattern Mining.
IEEE Trans. Pattern Anal. Mach. Intell.
Xia-an Bi, YangJun Huang, Zicheng Yang, Ke Chen, Zhao-Xu Xing, Luyun Xu, Xiang Li, Zhengliang Liu, Tianming Liu
2023 J jnl
Explainable and programmable hypergraph convolutional network for imaging genetics data fusion.
Inf. Fusion
Xia-an Bi, Sheng Luo, Siyu Jiang, Yu Wang, Zhao-Xu Xing, Luyun Xu
2022 J jnl
A novel generation adversarial network framework with characteristics aggregation and diffusion for brain disease classification and feature selection.
Briefings Bioinform.
Xia-an Bi, Yuhua Mao, Sheng Luo, Hao Wu, Lixia Zhang, Xun Luo, Luyun Xu
2022 J jnl
Clustering-Evolutionary Random Support Vector Machine Ensemble for fMRI-Based Asperger Syndrome Diagnosis.
Comput. J.
Xia-an Bi, Hao Wu, Xi Hu, Yu Fu, Shaoliang Peng
2022 J jnl
Feature aggregation graph convolutional network based on imaging genetic data for diagnosis and pathogeny identification of Alzheimer's disease.
Briefings Bioinform.
Xia-an Bi, Wenyan Zhou, Sheng Luo, Yuhua Mao, Xi Hu, Bin Zeng, Luyun Xu
2022 J jnl
IHGC-GAN: influence hypergraph convolutional generative adversarial network for risk prediction of late mild cognitive impairment based on imaging genetic data.
Briefings Bioinform.
Xia-an Bi, Lou Li, Zizheng Wang, Yu Wang, Xun Luo, Luyun Xu
2022 J jnl
Pathogeny Detection for Mild Cognitive Impairment via Weighted Evolutionary Random Forest With Brain Imaging and Genetic Data.
IEEE J. Biomed. Health Informatics
Xia-an Bi, Zhao-Xu Xing, Wenyan Zhou, Lou Li, Luyun Xu
2021 J jnl
A novel CERNNE approach for predicting Parkinson's Disease-associated genes and brain regions based on multimodal imaging genetics data.
Medical Image Anal.
Xia-an Bi, Xi Hu, Yiming Xie, Hao Wu
2021 J jnl
An Efficient WRF Framework for Discovering Risk Genes and Abnormal Brain Regions in Parkinson's Disease Based on Imaging Genetics Data.
J. Comput. Sci. Technol.
Xia-an Bi, Zhao-Xu Xing, Rui-Hui Xu, Xi Hu
2021 J jnl
Detecting Risk Gene and Pathogenic Brain Region in EMCI Using a Novel GERF Algorithm Based on Brain Imaging and Genetic Data.
IEEE J. Biomed. Health Informatics
Xia-an Bi, Wenyan Zhou, Lou Li, Zhao-Xu Xing
2021 J jnl
Identification of differential brain regions in MCI progression via clustering-evolutionary weighted SVM ensemble algorithm.
Frontiers Comput. Sci.
Xia-an Bi, Yiming Xie, Hao Wu, Luyun Xu
2020 J jnl
Morbigenous brain region and gene detection with a genetically evolved random neural network cluster approach in late mild cognitive impairment.
Bioinform.
Xia-an Bi, Yingchao Liu, Yiming Xie, Xi Hu, Qinghua Jiang
2020 J jnl
Multimodal Data Analysis of Alzheimer's Disease Based on Clustering Evolutionary Random Forest.
IEEE J. Biomed. Health Informatics
Xia-an Bi, Xi Hu, Hao Wu, Yang Wang
2019 J jnl
Branch tire packet classification algorithm based on single-linkage clustering.
Math. Comput. Simul.
Xia-an Bi, Xianhao Luo, Qi Sun
2019 J jnl
The Genetic-Evolutionary Random Support Vector Machine Cluster Analysis in Autism Spectrum Disorder.
IEEE Access
Xia-an Bi, Yingchao Liu, Qi Sun, Xianhao Luo, Haiyan Tan, Jie Chen, Nianyin Zeng
2018 J jnl
Analysis of Alzheimer's Disease Based on the Random Neural Network Cluster in fMRI.
Frontiers Neuroinformatics
Xia-an Bi, Qin Jiang, Qi Sun, Qing Shu, Yingchao Liu
2017 — conf
Clustering Boundary Cutting for Packet Classification Based on Distribution Density.
ISPA/IUCC
Xia-an Bi, Yanwen Zhou, Jianping Yu
2017 J jnl
Effects of asymmetric knowledge spillovers on the stability of horizontal and vertical R&D cooperation.
Comput. Math. Organ. Theory
Deming Zeng, Luyun Xu, Xia-an Bi
2017 — conf
Population dynamic evolutionary algorithm for virtual routers running on multiprocessors system.
ICNC-FSKD
Xia-an Bi, Qi Sun
2016 — conf
A Novel Secure Coding-Based Approach for Multi-cast Transmission.
HPCC/SmartCity/DSS
Zuoting Ning, Dafang Zhang, Kun Xie, Xia-an Bi
2015 J jnl
Signature Restoration for Enhancing Robustness of FPGA IP Designs.
Int. J. Inf. Secur. Priv.
Jing Long, Dafang Zhang, Wei Liang, Xia-an Bi
2012 — conf
A Candidate Forwarder Set Based Channel Assignment for Opportunistic Routing in Multi-radio Wireless Mesh Networks.
CWSN
Shiming He, Dafang Zhang, Kun Xie, Xia-an Bi, Hong Qiao, Ji Zhang, Bin Zeng