Bo Wang
Orcid: 0000-0002-4983-7288Affiliations:
- Harbin Engineering University, College of Computer Science and Technology, China
- Qiqihar University, College of Computer and Control, China (former)
According to our database1,
Bo Wang authored at least 13 papers
between 2020 and 2026.
Collaborative distances:
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Timeline
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Bibliography
2026
Predicting microbe-disease association based on multi-kernel autoencoder and singular value decomposition.
Int. J. Mach. Learn. Cybern., April, 2026
GFRATCMDA: Predicting human microbe-disease associations based on factorized random attention network and feature contrastive coding.
Biomed. Signal Process. Control., 2026
Microbe-Drug association prediction based on attention networks and improved Inductive matrix Completion.
Biomed. Signal Process. Control., 2026
2025
Predicting potential microbe-disease associations based on heterogeneous graph attention network and deep sparse autoencoder.
Eng. Appl. Artif. Intell., 2025
Predicting metabolite-disease associations based on dynamic adaptive feature learning architecture.
Comput. Methods Programs Biomed., 2025
Adaptive dynamic K-nearest neighbors and context-aware similarity optimization for microbe-disease association prediction.
Comput. Electr. Eng., 2025
Enhancing microbe-disease association prediction via multi-view graph convolution and latent feature learning.
Comput. Biol. Chem., 2025
VAE-GANMDA: A microbe-drug association prediction model integrating variational autoencoders and generative adversarial networks.
Artif. Intell. Medicine, 2025
2024
J. Circuits Syst. Comput., January, 2024
2022
A Homomorphic Encryption Based Location Privacy Preservation Scheme for Crowdsensing Tasks Allocation.
Wirel. Pers. Commun., 2022
2021
Automatic Detection of Invasive Ductal Carcinoma Based on the Fusion of Multi-Scale Residual Convolutional Neural Network and SVM.
IEEE Access, 2021
Principal Component Regression Analysis for lncRNA-Disease Association Prediction Based on Pathological Stage Data.
IEEE Access, 2021
2020
Logistic Regression Analysis for LncRNA-Disease Association Prediction Based on Random Forest and Clinical Stage Data.
IEEE Access, 2020