Luyun Xu
Orcid: 0009-0003-5516-7668
According to our database1,
Luyun Xu authored at least 23 papers
between 2015 and 2026.
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Bibliography
2026
Alzheimer's Disease Risk Prediction and Pathogeny Extraction Using Fuzzy Graph Evolutionary Generative Adversarial Network.
IEEE Trans. Neural Networks Learn. Syst., May, 2026
DALNN: Dual Attention Learning Neural Network for Diagnosis of Autism Spectrum Disorders and Exploration of Lesion Brain Regions.
IEEE Trans. Comput. Soc. Syst., February, 2026
Agent Propagation Generative Adversarial Networks with large foundation models for Alzheimer's disease risk prediction.
Pattern Recognit., 2026
Profile-preserving phase-field model for surfactant transport and adsorption-desorption in two-phase flow systems.
J. Comput. Phys., 2026
2025
CPST-GAN: Conditional Probabilistic State Transition Generative Adversarial Network With the Biomedical Large Foundation Models.
IEEE Trans. Neural Networks Learn. Syst., October, 2025
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., October, 2025
FHG-GAN: Fuzzy Hypergraph Generative Adversarial Network With Large Foundation Models for Alzheimer's Disease Risk Prediction.
IEEE Trans. Fuzzy Syst., August, 2025
Brain-Inspired Fuzzy Graph Convolution Network for Alzheimer's Disease Diagnosis Based on Imaging Genetics Data.
IEEE Trans. Fuzzy Syst., June, 2025
Community Graph Convolution Neural Network for Alzheimer's Disease Classification and Pathogenetic Factors Identification.
IEEE Trans. Neural Networks Learn. Syst., February, 2025
Multi-Level Learning and Interactive Fusion Algorithm Combined with Large Foundation Models for Alzheimer's Disease Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2024
CE-GAN: Community Evolutionary Generative Adversarial Network for Alzheimer's Disease Risk Prediction.
IEEE Trans. Medical Imaging, November, 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
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
2017
How does knowledge network affect a firm's explorative innovation? The contingent role of R&D collaborations.
Technol. Anal. Strateg. Manag., 2017
Effects of asymmetric knowledge spillovers on the stability of horizontal and vertical R&D cooperation.
Comput. Math. Organ. Theory, 2017
2016
J. Intell. Fuzzy Syst., 2016
2015
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015