Phi-Le Nguyen

Orcid: 0000-0001-6547-7641

According to our database1, Phi-Le Nguyen authored at least 117 papers between 2011 and 2024.

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

Timeline

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Bibliography

2024
Self-supervised air quality estimation with graph neural network assistance and attention enhancement.
Neural Comput. Appl., July, 2024

Achieving Multi-Time-Step Segment Routing via Traffic Prediction and Compressive Sensing Techniques.
IEEE Trans. Netw. Serv. Manag., April, 2024

A data-driven approach for high accurate spatiotemporal precipitation estimation.
Neural Comput. Appl., April, 2024

FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource-Constrained Devices Using Divide and Collaborative Training.
IEEE Trans. Netw. Serv. Manag., February, 2024

Backdoor attacks and defenses in federated learning: Survey, challenges and future research directions.
Eng. Appl. Artif. Intell., January, 2024

Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention.
Inf. Sci., 2024

GAMMA: A universal model for calibrating sensory data of multiple low-cost air monitoring devices.
Eng. Appl. Artif. Intell., 2024

CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion Approach.
CoRR, 2024

FedMAC: Tackling Partial-Modality Missing in Federated Learning with Cross-Modal Aggregation and Contrastive Regularization.
CoRR, 2024

FedCert: Federated Accuracy Certification.
CoRR, 2024

Heterogeneous Hypergraph Embedding for Recommendation Systems.
CoRR, 2024

Q-learning-based Opportunistic Communication for Real-time Mobile Air Quality Monitoring Systems.
CoRR, 2024

Fuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing.
CoRR, 2024

A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures.
CoRR, 2024

Zero-Shot Pill-Prescription Matching With Graph Convolutional Network and Contrastive Learning.
IEEE Access, 2024

Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Combating Quality Distortion in Federated Learning with Collaborative Data Selection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Enhancing the Generalization of Personalized Federated Learning with Multi-head Model and Ensemble Voting.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

A Contrastive Learning and Graph-based Approach for Missing Modalities in Multimodal Federated Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

Hierarchical Federated Learning in MEC Networks with Knowledge Distillation.
Proceedings of the International Joint Conference on Neural Networks, 2024

Boosting Offline Optimizers with Surrogate Sensitivity.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Traffic Engineering in Large-scale Networks via Multi-Agent Deep Reinforcement Learning with Joint-Training.
Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MuLeS: A Multi-Client Learning-Based MPQUIC Scheduler.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

2023
Attentional ensemble model for accurate discharge and water level prediction with training data enhancement.
Eng. Appl. Artif. Intell., November, 2023

Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks.
ACM Trans. Inf. Syst., 2023

IncepSE: Leveraging InceptionTime's performance with Squeeze and Excitation mechanism in ECG analysis.
CoRR, 2023

Learning Robust and Consistent Time Series Representations: A Dilated Inception-Based Approach.
CoRR, 2023

FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection.
CoRR, 2023

Multimodal contrastive learning for diagnosing cardiovascular diseases from electrocardiography (ECG) signals and patient metadata.
CoRR, 2023

High Accurate and Explainable Multi-Pill Detection Framework with Graph Neural Network-Assisted Multimodal Data Fusion.
CoRR, 2023

Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

A Q-Learning-based Energy Efficiency Optimization in LoRa Networks.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

Perpetual Sensor Networks with the Minimum Number of Mobile Chargers.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

A Novel Approach for Extracting Key Information from Vietnamese Prescription Images.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

IncepSE: Leveraging InceptionTime's performance with Squeeze and Excitaion mechanism in ECG analysis.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

An Evaluation of IoT Device Performance in Ethereum-Based IoT System.
Proceedings of the International Conference on Computing and Communication Technologies, 2023

FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection.
Proceedings of the International Joint Conference on Neural Networks, 2023

A Robust Document Localization Solution with Segmentation and Clustering.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023

A Gaussian Distribution Labeling Method for Speech Quality Assessment.
Proceedings of the Computational Data and Social Networks - 12th International Conference, 2023

A Q-learning-based Multipath Scheduler for Data Transmission Optimization in Heterogeneous Wireless Networks.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

SEM: A Simple Yet Efficient Model-agnostic Local Training Mechanism to Tackle Data Sparsity and Scarcity in Federated Learning.
Proceedings of the Eleventh International Symposium on Computing and Networking, CANDAR 2023, Matsue, Japan, November 28, 2023

A Deep Reinforcement Learning-Based Multi-objective Optimization for Crowdsensing-Based Air Quality Monitoring Systems.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2023

A Data-Driven Scheduling Strategy for Mobile Air Quality Monitoring Devices.
Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023

2022
Fuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing.
IEEE Trans. Netw. Serv. Manag., December, 2022

On the Global Maximization of Network Lifetime in Wireless Rechargeable Sensor Networks.
ACM Trans. Sens. Networks, November, 2022

Joint Optimization of Charging Location and Time for Network Lifetime Extension in WRSNs.
IEEE Trans. Green Commun. Netw., 2022

FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Co-Training.
CoRR, 2022

A Survey of Machine Unlearning.
CoRR, 2022

A Deep Reinforcement Learning-based Adaptive Charging Policy for Wireless Rechargeable Sensor Networks.
CoRR, 2022

FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning.
CoRR, 2022

Image-based Contextual Pill Recognition with Medical Knowledge Graph Assistance.
CoRR, 2022

Constant approximation for opportunistic sensing in mobile air quality monitoring system.
Comput. Networks, 2022

A bi-level optimized charging algorithm for energy depletion avoidance in wireless rechargeable sensor networks.
Appl. Intell., 2022

Implementation of P4-Based Schedulers for Multipath Communication.
IEEE Access, 2022

A Reinforcement Learning-based Multipath Scheduling for Heterogeneous Wireless Networks.
Proceedings of the 8th IEEE World Forum on Internet of Things, 2022

Deep Reinforcement Learning-based Offloading for Latency Minimization in 3-tier V2X Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Spatial-temporal Coverage Maximization in Vehicle-based Mobile Crowdsensing for Air Quality Monitoring.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

An Empirical Study of MPQUIC Schedulers in Mobile Wireless Networks.
Proceedings of the 11th International Symposium on Information and Communication Technology, 2022

Unsupervised Air Quality Interpolation with Attentive Graph Neural Network.
Proceedings of the 11th International Symposium on Information and Communication Technology, 2022

A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Deep Reinforcement Learning-based Charging Algorithm for Target Coverage and Connectivity in WRSNs.
Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning.
Proceedings of the 51st International Conference on Parallel Processing, 2022

A Host-based Investigation of IPv6 in Academia: The Cases of Japan and Vietnam.
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

Image-Based Contextual Pill Recognition with Medical Knowledge Graph Assistance.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2022

A Lightweight and Efficient GA-Based Model-Agnostic Feature Selection Scheme for Time Series Forecasting.
Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

Multi-stream Fusion for Class Incremental Learning in Pill Image Classification.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
Correction to: Energy-efficient routing in the proximity of a complicated hole in wireless sensor networks.
Wirel. Networks, 2021

Energy-efficient routing in the proximity of a complicated hole in wireless sensor networks.
Wirel. Networks, 2021

Empowering 5G Mobile Devices With Network Softwarization.
IEEE Trans. Netw. Serv. Manag., 2021

An On-Demand Charging for Connected Target Coverage in WRSNs Using Fuzzy Logic and Q-Learning.
Sensors, 2021

PM2.5 Prediction Using Genetic Algorithm-Based Feature Selection and Encoder-Decoder Model.
IEEE Access, 2021

QIH: An Efficient Q-Learning Inspired Hole-Bypassing Routing Protocol for WSNs.
IEEE Access, 2021

MC-OCR Challenge 2021: A Multi-modal Approach for Mobile-Captured Vietnamese Receipts Recognition.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2021

Visual-guided audio source separation: an empirical study.
Proceedings of the International Conference on Multimedia Analysis and Pattern Recognition, 2021

Usability and Aesthetics: Better Together for Automated Repair of Web Pages.
Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

Q-learning-based Opportunistic Communication for Real-time Mobile Air Quality Monitoring Systems.
Proceedings of the IEEE International Performance, 2021

Multi-time-step Segment Routing based Traffic Engineering Leveraging Traffic Prediction.
Proceedings of the 17th IFIP/IEEE International Symposium on Integrated Network Management, 2021

Fuzzy Deep Q-learning Task Offloading in Delay Constrained Vehicular Fog Computing.
Proceedings of the International Joint Conference on Neural Networks, 2021

Efficient Prediction of Discharge and Water Levels Using Ensemble Learning and Singular-Spectrum Analysis-Based Denoising.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021

GCRINT: Network Traffic Imputation Using Graph Convolutional Recurrent Neural Network.
Proceedings of the ICC 2021, 2021

Multi-Agent Multi-Armed Bandit Learning for Offloading Delay Minimization in V2X Networks.
Proceedings of the 19th IEEE International Conference on Embedded and Ubiquitous Computing, 2021

Speaker count: A new building block for speaker diarization.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

Realizing Mobile Air Quality Monitoring System: Architectural Concept and Device Prototype.
Proceedings of the 26th IEEE Asia-Pacific Conference on Communications, 2021

2020
A Path-Length Efficient, Low-Overhead, Load-Balanced Routing Protocol for Maximum Network Lifetime in Wireless Sensor Networks with Holes.
Sensors, 2020

Genetic Algorithm-based Periodic Charging Scheme for Energy Depletion Avoidance in WRSNs.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Extending Network Lifetime by Exploiting Wireless Charging in WSN.
Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, 2020

Q-learning-based, Optimized On-demand Charging Algorithm in WRSN.
Proceedings of the 19th IEEE International Symposium on Network Computing and Applications, 2020

An $\frac{e-1}{2e-1}$-Approximation Algorithm for Maximizing Coverage Capability in Mobile Air Quality Monitoring Systems.
Proceedings of the 19th IEEE International Symposium on Network Computing and Applications, 2020

A Reinforcement Learning Algorithm for Resource Provisioning in Mobile Edge Computing Network.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

SAFL: A Self-Attention Scene Text Recognizer with Focal Loss.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

A 1/2-Approximation Algorithm for Target Coverage Problem in Mobile Air Quality Monitoring Systems.
Proceedings of the IEEE Global Communications Conference, 2020

Modeling and Minimizing Latency in Three-tier V2X Networks.
Proceedings of the IEEE Global Communications Conference, 2020

Optimizing Charging Locations and Charging Time for Energy Depletion Avoidance in Wireless Rechargeable Sensor Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Node placement for connected target coverage in wireless sensor networks with dynamic sinks.
Pervasive Mob. Comput., 2019

TELPAC: A time and energy efficient protocol for locating and patching coverage holes in WSNs.
J. Netw. Comput. Appl., 2019

Development of Rules and Algorithms for Model-Driven Code Generator with UWE Approach.
Proceedings of the Advancing Technology Industrialization Through Intelligent Software Methodologies, Tools and Techniques, 2019

A Dynamic Routing Protocol for Maximizing Network Lifetime in WSNs with Holes.
Proceedings of the Tenth International Symposium on Information and Communication Technology, 2019

Generating Test Data for Blackbox Testing from UML-Based Web Engineering Content and Presentation Models.
Proceedings of the Industrial Networks and Intelligent Systems, 2019

Deep Convolutional LSTM Network-based Traffic Matrix Prediction with Partial Information.
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2019

Exploiting Q-Learning in Extending the Network Lifetime of Wireless Sensor Networks with Holes.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

Network Lifetime Maximization for Full Area Coverage in Wireless Sensor Networks.
Proceedings of the 25th Asia-Pacific Conference on Communications, 2019

2018
Routing in the Vicinity of Multiple Holes in WSNs.
Proceedings of the 5th International Conference on Information and Communication Technologies for Disaster Management, 2018

Node placement for target coverage and network connectivity in WSNs with multiple sinks.
Proceedings of the 15th IEEE Annual Consumer Communications & Networking Conference, 2018

Load balanced and constant stretch routing in the vicinity of holes in WSNs.
Proceedings of the 15th IEEE Annual Consumer Communications & Networking Conference, 2018

2017
An energy efficient and load balanced distributed routing scheme for wireless sensor networks with holes.
J. Syst. Softw., 2017

Distributed hole-bypassing protocol in WSNs with constant stretch and load balancing.
Comput. Networks, 2017

Constant stretch and load balanced routing protocol for bypassing multiple holes in wireless sensor networks.
Proceedings of the 16th IEEE International Symposium on Network Computing and Applications, 2017

A Delay-Guaranteed Geographic Routing Protocol with Hole Avoidance in WSNs.
Proceedings of the 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2017

2016
A Distributed Algorithm For Monitoring An Expanding Hole In Wireless Sensor Networks.
Informatica (Slovenia), 2016

A Time and Energy Efficient Protocol for Locating Coverage Holes in WSNs.
Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016

2015
A Distributed Protocol for Detecting and Updating Hole Boundary in Wireless Sensor Networks.
Proceedings of the Sixth International Symposium on Information and Communication Technology, 2015

2014
Load balanced routing with constant stretch for wireless sensor network with holes.
Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014

Hole Approximation-Dissemination Scheme for Bounded-Stretch Routing in Sensor Networks.
Proceedings of the IEEE International Conference on Distributed Computing in Sensor Systems, 2014

2012
ELBAR: efficient load balanced routing scheme for wireless sensor networks with holes.
Proceedings of the Symposium on Information and Communication Technology 2012, 2012

2011
Efficient approximation of routing holes in wireless sensor networks.
Proceedings of the 2011 Symposium on Information and Communication Technology, 2011


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