Xia-an Bi
Orcid: 0000-0002-2715-3360
According to our database1,
Xia-an Bi
authored at least 23 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
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., June, 2024
Structure Mapping Generative Adversarial Network for Multi-View Information Mapping Pattern Mining.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024
2023
Explainable and programmable hypergraph convolutional network for imaging genetics data fusion.
Inf. Fusion, December, 2023
2022
Pathogeny Detection for Mild Cognitive Impairment via Weighted Evolutionary Random Forest With Brain Imaging and Genetic Data.
IEEE J. Biomed. Health Informatics, 2022
Clustering-Evolutionary Random Support Vector Machine Ensemble for fMRI-Based Asperger Syndrome Diagnosis.
Comput. J., 2022
Feature aggregation graph convolutional network based on imaging genetic data for diagnosis and pathogeny identification of Alzheimer's disease.
Briefings Bioinform., 2022
A novel generation adversarial network framework with characteristics aggregation and diffusion for brain disease classification and feature selection.
Briefings Bioinform., 2022
IHGC-GAN: influence hypergraph convolutional generative adversarial network for risk prediction of late mild cognitive impairment based on imaging genetic data.
Briefings Bioinform., 2022
2021
Identification of differential brain regions in MCI progression via clustering-evolutionary weighted SVM ensemble algorithm.
Frontiers Comput. Sci., February, 2021
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, 2021
A novel CERNNE approach for predicting Parkinson's Disease-associated genes and brain regions based on multimodal imaging genetics data.
Medical Image Anal., 2021
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., 2021
2020
Multimodal Data Analysis of Alzheimer's Disease Based on Clustering Evolutionary Random Forest.
IEEE J. Biomed. Health Informatics, 2020
Morbigenous brain region and gene detection with a genetically evolved random neural network cluster approach in late mild cognitive impairment.
Bioinform., 2020
2019
Math. Comput. Simul., 2019
The Genetic-Evolutionary Random Support Vector Machine Cluster Analysis in Autism Spectrum Disorder.
IEEE Access, 2019
2018
Frontiers Neuroinformatics, 2018
2017
Effects of asymmetric knowledge spillovers on the stability of horizontal and vertical R&D cooperation.
Comput. Math. Organ. Theory, 2017
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017
Population dynamic evolutionary algorithm for virtual routers running on multiprocessors system.
Proceedings of the 13th International Conference on Natural Computation, 2017
2016
Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016
2015
Int. J. Inf. Secur. Priv., 2015
2012
A Candidate Forwarder Set Based Channel Assignment for Opportunistic Routing in Multi-radio Wireless Mesh Networks.
Proceedings of the Advances in Wireless Sensor Networks, 2012