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Xia-an Bi
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2020 – today
- 2024
- [j20]Xia-an Bi, YangJun Huang, Zicheng Yang, Ke Chen, Zhao-Xu Xing, Luyun Xu, Xiang Li, Zhengliang Liu, Tianming Liu:
Structure Mapping Generative Adversarial Network for Multi-View Information Mapping Pattern Mining. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2252-2266 (2024) - [j19]Xia-An Bi, Zicheng Yang, YangJun Huang, Zhao-Xu Xing, Luyun Xu, Zihao Wu, Zhengliang Liu, Xiang Li, Tianming Liu:
CE-GAN: Community Evolutionary Generative Adversarial Network for Alzheimer's Disease Risk Prediction. IEEE Trans. Medical Imaging 43(11): 3663-3675 (2024) - [j18]Xia-An Bi, Yu Wang, Sheng Luo, Ke Chen, Zhao-Xu Xing, Luyun Xu:
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. 35(6): 7420-7434 (2024) - 2023
- [j17]Xia-an Bi, Sheng Luo, Siyu Jiang, Yu Wang, Zhao-Xu Xing, Luyun Xu:
Explainable and programmable hypergraph convolutional network for imaging genetics data fusion. Inf. Fusion 100: 101950 (2023) - 2022
- [j16]Xia-an Bi, Lou Li, Zizheng Wang, Yu Wang, Xun Luo, Luyun Xu:
IHGC-GAN: influence hypergraph convolutional generative adversarial network for risk prediction of late mild cognitive impairment based on imaging genetic data. Briefings Bioinform. 23(3) (2022) - [j15]Xia-an Bi, Wenyan Zhou, Sheng Luo, Yuhua Mao, Xi Hu, Bin Zeng, Luyun Xu:
Feature aggregation graph convolutional network based on imaging genetic data for diagnosis and pathogeny identification of Alzheimer's disease. Briefings Bioinform. 23(3) (2022) - [j14]Xia-an Bi, Yuhua Mao, Sheng Luo, Hao Wu, Lixia Zhang, Xun Luo, Luyun Xu:
A novel generation adversarial network framework with characteristics aggregation and diffusion for brain disease classification and feature selection. Briefings Bioinform. 23(6) (2022) - [j13]Xia-an Bi, Hao Wu, Xi Hu, Yu Fu, Shaoliang Peng:
Clustering-Evolutionary Random Support Vector Machine Ensemble for fMRI-Based Asperger Syndrome Diagnosis. Comput. J. 65(2): 251-260 (2022) - [j12]Xia-an Bi, Zhao-Xu Xing, Wenyan Zhou, Lou Li, Luyun Xu:
Pathogeny Detection for Mild Cognitive Impairment via Weighted Evolutionary Random Forest With Brain Imaging and Genetic Data. IEEE J. Biomed. Health Informatics 26(7): 3068-3079 (2022) - 2021
- [j11]Xia-an Bi, Yiming Xie, Hao Wu, Luyun Xu:
Identification of differential brain regions in MCI progression via clustering-evolutionary weighted SVM ensemble algorithm. Frontiers Comput. Sci. 15(1) (2021) - [j10]Xia-An Bi, Zhao-Xu Xing, Rui-Hui Xu, Xi Hu:
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. 36(2): 361-374 (2021) - [j9]Xia-an Bi, Xi Hu, Yiming Xie, Hao Wu:
A novel CERNNE approach for predicting Parkinson's Disease-associated genes and brain regions based on multimodal imaging genetics data. Medical Image Anal. 67: 101830 (2021) - [j8]Xia-an Bi, Wenyan Zhou, Lou Li, Zhao-Xu Xing:
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 25(8): 3019-3028 (2021) - 2020
- [j7]Xia-an Bi, Yingchao Liu, Yiming Xie, Xi Hu, Qinghua Jiang:
Morbigenous brain region and gene detection with a genetically evolved random neural network cluster approach in late mild cognitive impairment. Bioinform. 36(8): 2561-2568 (2020) - [j6]Xia-an Bi, Xi Hu, Hao Wu, Yang Wang:
Multimodal Data Analysis of Alzheimer's Disease Based on Clustering Evolutionary Random Forest. IEEE J. Biomed. Health Informatics 24(10): 2973-2983 (2020)
2010 – 2019
- 2019
- [j5]Xia-an Bi, Yingchao Liu, Qi Sun, Xianhao Luo, Haiyan Tan, Jie Chen, Nianyin Zeng:
The Genetic-Evolutionary Random Support Vector Machine Cluster Analysis in Autism Spectrum Disorder. IEEE Access 7: 30527-30535 (2019) - [j4]Xia-an Bi, Xianhao Luo, Qi Sun:
Branch tire packet classification algorithm based on single-linkage clustering. Math. Comput. Simul. 155: 78-91 (2019) - 2018
- [j3]Xia-an Bi, Qin Jiang, Qi Sun, Qing Shu, Yingchao Liu:
Analysis of Alzheimer's Disease Based on the Random Neural Network Cluster in fMRI. Frontiers Neuroinformatics 12: 60 (2018) - 2017
- [j2]Deming Zeng, Luyun Xu, Xia-an Bi:
Effects of asymmetric knowledge spillovers on the stability of horizontal and vertical R&D cooperation. Comput. Math. Organ. Theory 23(1): 32-60 (2017) - [c4]Xia-an Bi, Qi Sun:
Population dynamic evolutionary algorithm for virtual routers running on multiprocessors system. ICNC-FSKD 2017: 1018-1022 - [c3]Xia-an Bi, Yanwen Zhou, Jianping Yu:
Clustering Boundary Cutting for Packet Classification Based on Distribution Density. ISPA/IUCC 2017: 661-666 - 2016
- [c2]Zuoting Ning, Dafang Zhang, Kun Xie, Xia-an Bi:
A Novel Secure Coding-Based Approach for Multi-cast Transmission. HPCC/SmartCity/DSS 2016: 506-513 - 2015
- [j1]Jing Long, Dafang Zhang, Wei Liang, Xia-an Bi:
Signature Restoration for Enhancing Robustness of FPGA IP Designs. Int. J. Inf. Secur. Priv. 9(3): 41-56 (2015) - 2012
- [c1]Shiming He, Dafang Zhang, Kun Xie, Xia-an Bi, Hong Qiao, Ji Zhang, Bin Zeng:
A Candidate Forwarder Set Based Channel Assignment for Opportunistic Routing in Multi-radio Wireless Mesh Networks. CWSN 2012: 103-116
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last updated on 2024-12-02 21:33 CET by the dblp team
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