Xiaowen Hu
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
- Xiaowen Huang
- Xiaowen Huang 001 (Beijing Jiaotong University, School of Computer Science and Technology, China)
- Xiaowen Huang 002 (Donghua University, College of Information Science and Technology, Shanghai, China)
- Xiaowen Huang 003 (Renmin University of China, School of Information, Beijing, China)
Bibliography
2025
MMDDI-SSE: A Novel Multi-Modal Feature Fusion Model With Static Subgraph Embedding for Drug-Drug Interaction Event Prediction.
IEEE J. Biomed. Health Informatics, August, 2025
AGCLNDA: Enhancing the Prediction of ncRNA-Drug Resistance Association Using Adaptive Graph Contrastive Learning.
IEEE J. Biomed. Health Informatics, June, 2025
CoRR, March, 2025
Fed-UGI: Federated Undersampling Learning Framework With Gini Impurity for Imbalanced Network Intrusion Detection.
IEEE Trans. Inf. Forensics Secur., 2025
Heterogeneous Graph Contrastive Learning with Graph Diffusion for Drug Repositioning.
J. Chem. Inf. Model., 2025
Unraveling Disease-Associated PIWI-Interacting RNAs with a Contrastive Learning Methods.
J. Chem. Inf. Model., 2025
Resampling approach for imbalanced data classification based on class instance density per feature value intervals.
Inf. Sci., 2025
UFIDSF: An undersampling approach based on feature importance and double side filter for imbalanced data classification.
Future Gener. Comput. Syst., 2025
DTI-BGCGCN: A novel bipartite graph-based cluster graph convolutional network for drug-target interaction prediction in modern and traditional chinese medicine.
Comput. Biol. Chem., 2025
Proceedings of the Progress in Cryptology - AFRICACRYPT 2025, 2025
2024
DeepTGIN: a novel hybrid multimodal approach using transformers and graph isomorphism networks for protein-ligand binding affinity prediction.
J. Cheminformatics, December, 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
IGCNSDA: unraveling disease-associated snoRNAs with an interpretable graph convolutional network.
Briefings Bioinform., 2024
Briefings Bioinform., 2024
FIAO: Feature Information Aggregation Oversampling for imbalanced data classification.
Appl. Soft Comput., 2024
Proceedings of the 16th ACM SIGPLAN International Workshop on Virtual Machines and Intermediate Languages, 2024
Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024
HGTRDA: Enhancing Prediction of ncRNA-Mediated Drug Resistance with Hypergraph Transformer.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
MMDDI-MGPFF: Multi-Modal Drug Representation Learning with Molecular Graph and Pharmacological Feature Fusion for Drug-Drug Interaction Event Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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