Xiaowen Hu
Orcid: 0000-0002-4577-3360
According to our database1,
Xiaowen Hu
authored at least 35 papers
between 2013 and 2025.
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Bibliography
2025
Resampling approach for imbalanced data classification based on class instance density per feature value intervals.
Inf. Sci., 2025
2024
DeepFusionCDR: Employing Multi-Omics Integration and Molecule-Specific Transformers for Enhanced Prediction of Cancer Drug Responses.
IEEE J. Biomed. Health Informatics, October, 2024
AntiViralDL: Computational Antiviral Drug Repurposing Using Graph Neural Network and Self-Supervised Learning.
IEEE J. Biomed. Health Informatics, January, 2024
Which standard classification algorithm has more stable performance for imbalanced network traffic data?
Soft Comput., January, 2024
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
Eng. Appl. Artif. Intell., 2024
FIAO: Feature Information Aggregation Oversampling for imbalanced data classification.
Appl. Soft Comput., 2024
2023
HGCLMDA: Predicting mRNA-Drug Sensitivity Associations via Hypergraph Contrastive Learning.
J. Chem. Inf. Model., September, 2023
A comprehensive review and evaluation of graph neural networks for non-coding RNA and complex disease associations.
Briefings Bioinform., September, 2023
ABLNCPP: Attention Mechanism-Based Bidirectional Long Short-Term Memory for Noncoding RNA Coding Potential Prediction.
J. Chem. Inf. Model., June, 2023
HGNNLDA: Predicting lncRNA-Drug Sensitivity Associations via a Dual Channel Hypergraph Neural Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
J. Electronic Imaging, 2023
EVMTracer: Dynamic Analysis of the Parallelization and Redundancy Potential in the Ethereum Virtual Machine.
IEEE Access, 2023
PTDA-SWGCL: Predicting tRNA-Disease Associations using Supplementarily Weighted Graph Contrastive Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
CLPiDA: A Contrastive Learning Approach for Predicting Potential PiRNA-Disease Associations.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
TGC-ARG: Predicting Antibiotic Resistance through Transformer-based Modeling and Contrastive Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Exploring noncoding RNAs in thyroid cancer using a graph convolutional network approach.
Comput. Biol. Medicine, 2022
Correlative analysis of lung CT findings in patients with Birt-Hogg-Dubé Syndrome and the occurrence of spontaneous pneumothorax: a preliminary study.
BMC Medical Imaging, 2022
A Method for Analyzing the Performance Impact of Imbalanced Binary Data on Machine Learning Models.
Axioms, 2022
Proceedings of the Logic-Based Program Synthesis and Transformation, 2022
2021
Proceedings of the PLDI '21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021
Proceedings of the Programming Languages and Systems - 19th Asian Symposium, 2021
2020
Cultivar Discrimination of Single Alfalfa (Medicago sativa L.) Seed via Multispectral Imaging Combined with Multivariate Analysis.
Sensors, 2020
Proceedings of the 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, 2020
2019
Relative Power Analysis of Magnetoencephalography During Resting State in Patients with Glioma.
J. Medical Imaging Health Informatics, 2019
J. Adv. Comput. Intell. Intell. Informatics, 2019
2018
Modeling the Effect of Interest Rate Uncertainty on Residents' Consumption - Based on a DSGE Model Embedded Stochastic Volatility.
J. Adv. Comput. Intell. Intell. Informatics, 2018
2017
Entrepreneurial Marketing and New Venture Performance: The Mediating Effects of Ambidextrous Innovation.
J. Adv. Comput. Intell. Intell. Informatics, 2017
J. Adv. Comput. Intell. Intell. Informatics, 2017
2015
Coordination of Monetary and Exchange Rate Policy in China: Market Interest Rate Approach.
J. Adv. Comput. Intell. Intell. Informatics, 2015
Understanding the Influence of Interest Rate Liberalization on Economic Structure and Monetary Policy.
J. Adv. Comput. Intell. Intell. Informatics, 2015
2014
J. Adv. Comput. Intell. Intell. Informatics, 2014
2013
Cooperative Spectrum Sensing Algorithm Based on CS-SLIM Iterative Minimization Sparse Learning.
Int. J. Distributed Sens. Networks, 2013
IEEE Commun. Lett., 2013