Le Sun

Orcid: 0000-0002-4221-0327

Affiliations:
  • Nanjing University of Information Science and Technology, School of Computer and Software, China
  • Victoria University, Melbourne, Australia (PhD 2016)
  • Curtin University, Perth, WA, Australia (former)


According to our database1, Le Sun authored at least 55 papers between 2010 and 2024.

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

Timeline

Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2024
A Metaverse text recognition model based on character-level contrastive learning.
Appl. Soft Comput., December, 2024

A Multitask Dynamic Graph Attention Autoencoder for Imbalanced Multilabel Time Series Classification.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

DCNet: A Self-Supervised EEG Classification Framework for Improving Cognitive Computing-Enabled Smart Healthcare.
IEEE J. Biomed. Health Informatics, August, 2024

Distillate a Sparse-Meta Time Series Classifier for Open Radio Access Network-Based Cellular Vehicle-to-Everything.
IEEE Trans. Veh. Technol., July, 2024

Multi-level Graph Memory Network Cluster Convolutional Recurrent Network for traffic forecasting.
Inf. Fusion, May, 2024

Few-Shot Class-Incremental Learning for Medical Time Series Classification.
IEEE J. Biomed. Health Informatics, April, 2024

Meta-Transfer Metric Learning for Time Series Classification in 6G-Supported Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst., March, 2024

FedCPD: A Federated Learning Algorithm for Processing and Securing Distributed Heterogeneous Data in the Metaverse.
IEEE Open J. Commun. Soc., 2024

CABnet: A channel attention dual adversarial balancing network for multimodal image fusion.
Image Vis. Comput., 2024

Biometric identity recognition based on contrastive positive-unlabeled learning.
J. Inf. Secur. Appl., 2024

Fine-grained vulnerability detection for medical sensor systems.
Internet Things, 2024

Randomized attention and dual-path system for electrocardiogram identity recognition.
Eng. Appl. Artif. Intell., 2024

Energy-efficient dynamic sensor time series classification for edge health devices.
Comput. Methods Programs Biomed., 2024

Soft computing-driven infrared and visible image fusion network for security application service.
Appl. Soft Comput., 2024

2023
Class-Driven Graph Attention Network for Multi-Label Time Series Classification in Mobile Health Digital Twins.
IEEE J. Sel. Areas Commun., October, 2023

Center TextSpotter: A Novel Text Spotter for Autonomous Unmanned Vehicles.
IEEE Trans. Intell. Transp. Syst., August, 2023

MCnet: Multiscale visible image and infrared image fusion network.
Signal Process., July, 2023

A federated learning and blockchain framework for physiological signal classification based on continual learning.
Inf. Sci., June, 2023

Automatically Building Service-Based Systems With Function Relaxation.
IEEE Trans. Cybern., May, 2023

Hyper-sausage coverage function neuron model and learning algorithm for image classification.
Pattern Recognit., April, 2023

Study QoS-aware Fog Computing for Disease Diagnosis and Prognosis.
Mob. Networks Appl., April, 2023

A Scalable and Transferable Federated Learning System for Classifying Healthcare Sensor Data.
IEEE J. Biomed. Health Informatics, February, 2023

2022
PerAE: An Effective Personalized AutoEncoder for ECG-Based Biometric in Augmented Reality System.
IEEE J. Biomed. Health Informatics, 2022

LPClass: Lightweight Personalized Sensor Data Classification in Computational Social Systems.
IEEE Trans. Comput. Soc. Syst., 2022

A ResNet based multiscale feature extraction for classifying multi-variate medical time series.
KSII Trans. Internet Inf. Syst., 2022

BeatClass: A Sustainable ECG Classification System in IoT-Based eHealth.
IEEE Internet Things J., 2022

A multi-label classification system for anomaly classification in electrocardiogram.
Health Inf. Sci. Syst., 2022

Intelligent Interpretation and Classification of Multivariate Medical Time Series Based on Convolutional Neural Networks.
Proceedings of the Health Information Science - 11th International Conference, 2022

Personalized Arrhythmia Detection Based on Lightweight Autoencoder and Variational Autoencoder.
Proceedings of the Databases Theory and Applications, 2022

2021
CAB: Classifying Arrhythmias based on Imbalanced Sensor Data.
KSII Trans. Internet Inf. Syst., 2021

Multi-label Anomaly Classification Based on Electrocardiogram.
Proceedings of the Health Information Science - 10th International Conference, 2021

2020
A framework for cardiac arrhythmia detection from IoT-based ECGs.
World Wide Web, 2020

A stacked LSTM for atrial fibrillation prediction based on multivariate ECGs.
Health Inf. Sci. Syst., 2020

Corrigendum to "Study QoS Optimization and Energy Saving Techniques in Cloud, Fog, Edge, and IoT".
Complex., 2020

Study QoS Optimization and Energy Saving Techniques in Cloud, Fog, Edge, and IoT.
Complex., 2020

Fast Build Top-k Lightweight Service-Based Systems.
Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

An Advanced Two-Step DNN-Based Framework for Arrhythmia Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

A DNN for Arrhythmia Prediction Based on ECG.
Proceedings of the Health Information Science - 9th International Conference, 2020

Telemedicine System with Elements of Artificial Intelligence for Health Monitoring During COVID-19 Pandemic.
Proceedings of the Health Information Science - 9th International Conference, 2020

2019
A framework of cloud service selection with criteria interactions.
Future Gener. Comput. Syst., 2019

Hyperspectral Classification Via Low-Rank Component Induced Spatial-Spectral Kernel.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Cloud Service Description Model: An Extension of USDL for Cloud Services.
IEEE Trans. Serv. Comput., 2018

Aggregation Functions Considering Criteria Interrelationships in Fuzzy Multi-Criteria Decision Making: State-of-the-Art.
IEEE Access, 2018

D-ECG: A Dynamic Framework for Cardiac Arrhythmia Detection from IoT-Based ECGs.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

2017
Bit Query Based M-ary Tree Protocol for RFID Tags Identification.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016
Supervised Anomaly Detection in Uncertain Pseudoperiodic Data Streams.
ACM Trans. Internet Techn., 2016

Cloud-FuSeR: Fuzzy ontology and MCDM based cloud service selection.
Future Gener. Comput. Syst., 2016

Exploring Data Mining Techniques in Medical Data Streams.
Proceedings of the Databases Theory and Applications, 2016

2015
Time-critical interactive dynamic influence diagram.
Int. J. Approx. Reason., 2015

2014
Cloud service selection: State-of-the-art and future research directions.
J. Netw. Comput. Appl., 2014

A Hybrid Fuzzy Framework for Cloud Service Selection.
Proceedings of the 2014 IEEE International Conference on Web Services, 2014

Multicriteria decision making with fuzziness and criteria interdependence in cloud service selection.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2012
Survey of Service Description Languages and Their Issues in Cloud Computing.
Proceedings of the Eighth International Conference on Semantics, Knowledge and Grids, 2012

Service level agreement (SLA) assurance for cloud services: a survey from a transactional risk perspective.
Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia, 2012

2010
An Influence Diagram Approach for Multiagent Time-Critical Dynamic Decision Modeling.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010


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