Leon Wong

Orcid: 0000-0001-9937-1714

According to our database1, Leon Wong authored at least 36 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
AMDECDA: Attention Mechanism Combined With Data Ensemble Strategy for Predicting CircRNA-Disease Association.
IEEE Trans. Big Data, August, 2024

MAGCDA: A Multi-Hop Attention Graph Neural Networks Method for CircRNA-Disease Association Prediction.
IEEE J. Biomed. Health Informatics, March, 2024

GSLCDA: An Unsupervised Deep Graph Structure Learning Method for Predicting CircRNA-Disease Association.
IEEE J. Biomed. Health Informatics, March, 2024

Fusing Higher and Lower-Order Biological Information for Drug Repositioning via Graph Representation Learning.
IEEE Trans. Emerg. Top. Comput., 2024

MNESEDA: A prior-guided subgraph representation learning framework for predicting disease-related enhancers.
Knowl. Based Syst., 2024

A PiRNA-disease association model incorporating sequence multi-source information with graph convolutional networks.
Appl. Soft Comput., 2024

Rapid Deployment of DNNs for Edge Computing via Structured Pruning at Initialization.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024

2023
GKLOMLI: a link prediction model for inferring miRNA-lncRNA interactions by using Gaussian kernel-based method on network profile and linear optimization algorithm.
BMC Bioinform., December, 2023

Biomedical Knowledge Graph Embedding With Capsule Network for Multi-Label Drug-Drug Interaction Prediction.
IEEE Trans. Knowl. Data Eng., June, 2023

PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions.
IEEE J. Biomed. Health Informatics, 2023

Combining K Nearest Neighbor With Nonnegative Matrix Factorization for Predicting Circrna-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Enabling Auditable Trust in Autonomous Networks with Ethereum and IPFS.
Proceedings of the NOMS 2023, 2023

HyPA: Hybrid Horizontal Pod Autoscaling with Automated Model Updates.
Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2023

Towards Digital Network Twins: Can we Machine Learn Network Function Behaviors?
Proceedings of the 9th IEEE International Conference on Network Softwarization, 2023

Coordinated autonomous networks for remote synchronized video services with the autonomous mobility robots - prelude implementation.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2023

2022
NSECDA: Natural Semantic Enhancement for CircRNA-Disease Association Prediction.
IEEE J. Biomed. Health Informatics, 2022

Digital Twin Network: Opportunities and Challenges.
CoRR, 2022

Network Digital Twin: Context, Enabling Technologies, and Opportunities.
IEEE Commun. Mag., 2022

A machine learning framework based on multi-source feature fusion for circRNA-disease association prediction.
Briefings Bioinform., 2022

KAPETÁNIOS: Automated Kubernetes Adaptation through a Digital Twin.
Proceedings of the 13th International Conference on Network of the Future, 2022

2021
Evolutionary Autonomous Networks.
J. ICT Stand., 2021

SANE: A sequence combined attentive network embedding model for COVID-19 drug repositioning.
Appl. Soft Comput., 2021

A Multi-graph Deep Learning Model for Predicting Drug-Disease Associations.
Proceedings of the Intelligent Computing Theories and Application, 2021

Weighted Nonnegative Matrix Factorization Based on Multi-source Fusion Information for Predicting CircRNA-Disease Associations.
Proceedings of the Intelligent Computing Theories and Application, 2021

Predicting miRNA-Disease Associations via a New MeSH Headings Representation of Diseases and eXtreme Gradient Boosting.
Proceedings of the Intelligent Computing Theories and Application, 2021

2020
NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute information.
BMC Bioinform., 2020

GNMFLMI: Graph Regularized Nonnegative Matrix Factorization for Predicting LncRNA-MiRNA Interactions.
IEEE Access, 2020

Inferring Disease-Associated Piwi-Interacting RNAs via Graph Attention Networks.
Proceedings of the Intelligent Computing Theories and Application, 2020

A Novel Computational Method for Predicting LncRNA-Disease Associations from Heterogeneous Information Network with SDNE Embedding Model.
Proceedings of the Intelligent Computing Theories and Application, 2020

A Gaussian Kernel Similarity-Based Linear Optimization Model for Predicting miRNA-lncRNA Interactions.
Proceedings of the Intelligent Computing Theories and Application, 2020

A Highly Efficient Biomolecular Network Representation Model for Predicting Drug-Disease Associations.
Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020

2019
A Gated Recurrent Unit Model for Drug Repositioning by Combining Comprehensive Similarity Measures and Gaussian Interaction Profile Kernel.
Proceedings of the Intelligent Computing Theories and Application, 2019

2015
Detection of Protein-Protein Interactions from Amino Acid Sequences Using a Rotation Forest Model with a Novel PR-LPQ Descriptor.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

Predicting Protein-Protein Interactions from Amino Acid Sequences Using SaE-ELM Combined with Continuous Wavelet Descriptor and PseAA Composition.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

2006
High accuracy retrieval with multiple nested ranker.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

2002
Combination of statistical and rule-based approaches for spoken language understanding.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002


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