Thien Huynh-The

Orcid: 0000-0002-9172-2935

According to our database1, Thien Huynh-The authored at least 131 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
Improved Waveform Classification for Integrated Radar-Communication 6G Systems via Convolutional Neural Networks.
IEEE Trans. Veh. Technol., September, 2024

WaveNet: Toward Waveform Classification in Integrated Radar-Communication Systems With Improved Accuracy and Reduced Complexity.
IEEE Internet Things J., July, 2024

Incentive Mechanism and Semantic Communication for Edge Computing-Assisted Metaverse.
IEEE Netw., May, 2024

Secrecy Performance of Short-Packet Communications in MultiHop IoT Networks With Imperfect CSI.
IEEE Wirel. Commun. Lett., April, 2024

Extension of physical activity recognition with 3D CNN using encrypted multiple sensory data to federated learning based on multi-key homomorphic encryption.
Comput. Methods Programs Biomed., January, 2024

Joint Partial Offloading and Resource Allocation for Parked Vehicle-Assisted Multi-Access Edge Computing.
IEEE Trans. Emerg. Top. Comput., 2024

HBSeNet: A Hybrid Bilateral Network for Accurate Semantic Segmentation of Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Explainable AI for 6G Use Cases: Technical Aspects and Research Challenges.
IEEE Open J. Commun. Soc., 2024

Enhancing Aerial Semantic Segmentation With Feature Aggregation Network for DeepLabV3+.
IEEE Geosci. Remote. Sens. Lett., 2024

Short-packet communications in wireless energy transfer full-duplex IoT networks with deep learning design.
J. Commun. Networks, 2024

Efficient LDPC Code Design based on Genetic Algorithm for IoT Applications.
EAI Endorsed Trans. Ind. Networks Intell. Syst., 2024

2023
Blockchain for the metaverse: A Review.
Future Gener. Comput. Syst., June, 2023

Distributed Cloud Computing: Architecture, Enabling Technologies, and Open Challenges.
IEEE Consumer Electron. Mag., May, 2023

Energy-Efficient Multiprocessor-Based Computation and Communication Resource Allocation in Two-Tier Federated Learning Networks.
IEEE Internet Things J., April, 2023

Efficient Convolutional Networks for Robust Automatic Modulation Classification in OFDM-Based Wireless Systems.
IEEE Syst. J., March, 2023

Short-Packet Communications in Multihop Networks With WET: Performance Analysis and Deep Learning-Aided Optimization.
IEEE Trans. Wirel. Commun., 2023

Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions.
IEEE Internet Things J., 2023

Artificial intelligence for the metaverse: A survey.
Eng. Appl. Artif. Intell., 2023

Applications of Distributed Machine Learning for the Internet-of-Things: A Comprehensive Survey.
CoRR, 2023

Metaverse for Industry 5.0 in NextG Communications: Potential Applications and Future Challenges.
CoRR, 2023

A Survey on Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions.
CoRR, 2023

Need of 6G for the Metaverse Realization.
CoRR, 2023

Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions.
IEEE Access, 2023

Outage Performance of THz-aided NOMA Systems with Spherical Stochastic Model.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Performance Analysis and Deep Learning Evaluation of URLLC Full-Duplex Energy Harvesting IoT Networks over Nakagami-m Fading Channels.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Intelligent Spectrum Sensing with ConvNet for 5G and LTE Signals Identification.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

An Efficient Deep Network for Modulation Classification in Impaired MIMO-OFDM Systems.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

LiPoSeg: A Lightweight Encoder-Decoder Network for LiDAR-based Road-Object Semantic Segmentation.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

Accurate Spectrum Sensing with Improved DeepLabV3+ for 5G-LTE Signals Identification.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

PointGANet: A Lightweight 3D Point Cloud Learning Architecture for Semantic Segmentation.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

Strategic Improvements of SqueezeSegV2 for Road-Scene Semantic Segmentation Using 3D LiDAR Point Cloud.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules.
Proceedings of the Computational Science - ICCS 2023, 2023

2022
RanNet: Learning Residual-Attention Structure in CNNs for Automatic Modulation Classification.
IEEE Wirel. Commun. Lett., 2022

Energy-Efficient Federated Learning Over UAV-Enabled Wireless Powered Communications.
IEEE Trans. Veh. Technol., 2022

Partial Computation Offloading in Parked Vehicle-Assisted Multi-Access Edge Computing: A Game-Theoretic Approach.
IEEE Trans. Veh. Technol., 2022

MIMO-OFDM Modulation Classification Using Three-Dimensional Convolutional Network.
IEEE Trans. Veh. Technol., 2022

Aerial Access Networks for Federated Learning: Applications and Challenges.
IEEE Netw., 2022

Underwater Acoustic Target Classification Based on Dense Convolutional Neural Network.
IEEE Geosci. Remote. Sens. Lett., 2022

Incentive techniques for the Internet of Things: A survey.
J. Netw. Comput. Appl., 2022

MoDANet: Multi-Task Deep Network for Joint Automatic Modulation Classification and Direction of Arrival Estimation.
IEEE Commun. Lett., 2022

Deep learning for deepfakes creation and detection: A survey.
Comput. Vis. Image Underst., 2022

Edge Computing for Semantic Communication Enabled Metaverse: An Incentive Mechanism Design.
CoRR, 2022

Fusion of Federated Learning and Industrial Internet of Things: A survey.
Comput. Networks, 2022

Signal Preprocessing Technique With Noise-Tolerant for RF-Based UAV Signal Classification.
IEEE Access, 2022

RF-UAVNet: High-Performance Convolutional Network for RF-Based Drone Surveillance Systems.
IEEE Access, 2022

Automatic Modulation Classification with Low-Cost Attention Network for Impaired OFDM Signals.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

2D Skeleton-based Action Recognition Using Action-Snippets and Sequential Deep Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

A Vision of Distributed Cloud Computing.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

UAV-enabled Wireless Powered Communication for Energy-Efficient Federated Learning.
Proceedings of the IEEE International Conference on Communications, 2022

An Efficient Deep CNN Design for EH Short-Packet Communications in Multihop Cognitive IoT Networks.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Accurate LPI Radar Waveform Recognition With CWD-TFA for Deep Convolutional Network.
IEEE Wirel. Commun. Lett., 2021

UAV Communications for Sustainable Federated Learning.
IEEE Trans. Veh. Technol., 2021

Short-Packet Communications in Wireless-Powered Cognitive IoT Networks: Performance Analysis and Deep Learning Evaluation.
IEEE Trans. Veh. Technol., 2021

RFDOA-Net: An Efficient ConvNet for RF-Based DOA Estimation in UAV Surveillance Systems.
IEEE Trans. Veh. Technol., 2021

Toward efficient and intelligent video analytics with visual privacy protection for large-scale surveillance.
J. Supercomput., 2021

Convolutional Network With Twofold Feature Augmentation for Diabetic Retinopathy Recognition From Multi-Modal Images.
IEEE J. Biomed. Health Informatics, 2021

A Deep-Neural-Network-Based Relay Selection Scheme in Wireless-Powered Cognitive IoT Networks.
IEEE Internet Things J., 2021

Physical Activity Recognition With Statistical-Deep Fusion Model Using Multiple Sensory Data for Smart Health.
IEEE Internet Things J., 2021

Accurate Deep CNN-Based Waveform Recognition for Intelligent Radar Systems.
IEEE Commun. Lett., 2021

Explainable AI for B5G/6G: Technical Aspects, Use Cases, and Research Challenges.
CoRR, 2021

Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions.
CoRR, 2021

Fusion of Federated Learning and Industrial Internet of Things: A Survey.
CoRR, 2021

Intelligent Radio Signal Processing: A Survey.
IEEE Access, 2021

Automatic Modulation Classification: A Deep Architecture Survey.
IEEE Access, 2021

Machine Learning-based Reconfigurable Intelligent Surface-aided MIMO Systems.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

A QoE-based Optimization Approach to Computation Offloading in Vehicle-assisted Multi-access Edge Computing.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Deep Learning-based Automatic Modulation Classification for Wireless OFDM Communications.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Deep Learning for Coexistence Radar-Communication Waveform Recognition.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

A Deep CNN-based Relay Selection in EH Full-Duplex IoT Networks with Short-Packet Communications.
Proceedings of the ICC 2021, 2021

Densely-Accumulated Convolutional Network for Accurate LPI Radar Waveform Recognition.
Proceedings of the IEEE Global Communications Conference, 2021

An Efficient QoS Routing Protocol in Cognitive Radio MANETs: Cross-Layer Design Meets Deep Reinforcement Learning.
Proceedings of the International Conference on Electronics, Information, and Communication, 2021

2020
Sparsely Connected CNN for Efficient Automatic Modulation Recognition.
IEEE Trans. Veh. Technol., 2020

Encoding Pose Features to Images With Data Augmentation for 3-D Action Recognition.
IEEE Trans. Ind. Informatics, 2020

Image representation of pose-transition feature for 3D skeleton-based action recognition.
Inf. Sci., 2020

Cross-Attentional Bracket-shaped Convolutional Network for semantic image segmentation.
Inf. Sci., 2020

Sum-Rate Maximization for UAV-Assisted Visible Light Communications Using NOMA: Swarm Intelligence Meets Machine Learning.
IEEE Internet Things J., 2020

Learning 3D spatiotemporal gait feature by convolutional network for person identification.
Neurocomputing, 2020

MCNet: An Efficient CNN Architecture for Robust Automatic Modulation Classification.
IEEE Commun. Lett., 2020

Intelligent Radio Signal Processing: A Contemporary Survey.
CoRR, 2020

Clustering and Power Allocation for UAV-assisted NOMA-VLC Systems: A Swarm Intelligence Approach.
CoRR, 2020

Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts.
IEEE Access, 2020

Exploiting a low-cost CNN with skip connection for robust automatic modulation classification.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Convolutional Neural Network-Based DOA Estimation Using Non-uniform Linear Array for Multipath Channels.
Proceedings of the Industrial Networks and Intelligent Systems, 2020

Distributed Feature Extraction on Apache Spark for Human Action Recognition.
Proceedings of the 14th International Conference on Ubiquitous Information Management and Communication, 2020

3D Action Recognition Exploiting Hierarchical Deep Feature Fusion Model.
Proceedings of the 14th International Conference on Ubiquitous Information Management and Communication, 2020

Convolutional Network with Densely Backward Attention for Facial Expression Recognition.
Proceedings of the 14th International Conference on Ubiquitous Information Management and Communication, 2020

Multi-shuffled Convolutional Blocks for Low-complex Modulation Recognition.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2020

Deep Learning for Constellation-based Modulation Classification under Multipath Fading Channels.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2020

Learning Geometric Features with Dual-stream CNN for 3D Action Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Chain-Net: Learning Deep Model for Modulation Classification Under Synthetic Channel Impairment.
Proceedings of the IEEE Global Communications Conference, 2020

Learning Constellation Map with Deep CNN for Accurate Modulation Recognition.
Proceedings of the IEEE Global Communications Conference, 2020

DRAN: Densely Reversed Attention based Convolutional Network for Diabetic Retinopathy Detection.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Space-Time Skeletal Analysis with Jointly Dual-Stream ConvNet for Action Recognition.
Proceedings of the Digital Image Computing: Techniques and Applications, 2020

2019
ML-HDP: A Hierarchical Bayesian Nonparametric Model for Recognizing Human Actions in Video.
IEEE Trans. Circuits Syst. Video Technol., 2019

Bimodal learning via trilogy of skip-connection deep networks for diabetic retinopathy risk progression identification.
Int. J. Medical Informatics, 2019

A Novel VANETs-Based Traffic Light Scheduling Scheme for Greener Planet and Safer Road Intersections.
IEEE Access, 2019

Locally Statistical Dual-Mode Background Subtraction Approach.
IEEE Access, 2019

Learning Action Images Using Deep Convolutional Neural Networks For 3D Action Recognition.
Proceedings of the IEEE Sensors Applications Symposium, 2019

Data Augmentation For CNN-Based 3D Action Recognition on Small-Scale Datasets.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Pose-Based Identification Using Deep Learning for Military Surveillance Systems.
Proceedings of the 2019 International Conference on Information and Communication Technology Convergence, 2019

Visualizing Inertial Data For Wearable Sensor Based Daily Life Activity Recognition Using Convolutional Neural Network.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Retinal Vessel Segmentation using Round-wise Features Aggregation on Bracket-shaped Convolutional Neural Networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Scalable Video Classification using Bag of Visual Words on Spark.
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019

Robust Image Watermarking Framework Powered by Convolutional Encoder-Decoder Network.
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019

2018
Early fault detection in IaaS cloud computing based on fuzzy logic and prediction technique.
J. Supercomput., 2018

Iss2Image: A Novel Signal-Encoding Technique for CNN-Based Human Activity Recognition.
Sensors, 2018

Adaptive Data Boosting Technique for Robust Personalized Speech Emotion in Emotionally-Imbalanced Small-Sample Environments.
Sensors, 2018

Hierarchical topic modeling with pose-transition feature for action recognition using 3D skeleton data.
Inf. Sci., 2018

Selective bit embedding scheme for robust blind color image watermarking.
Inf. Sci., 2018

Convolutional Networks with Bracket-Style Decoder for Semantic Scene Segmentation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2017
NIC: A Robust Background Extraction Algorithm for Foreground Detection in Dynamic Scenes.
IEEE Trans. Circuits Syst. Video Technol., 2017

Color image watermarking using selective MSB-LSB embedding and 2D Otsu thresholding.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Improving NIC algorithm using different binary structure elements for multi-modal foreground detection.
Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, 2017

ADM-HIPaR: An efficient background subtraction approach.
Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

2016
Human Behavior Analysis by Means of Multimodal Context Mining.
Sensors, 2016

Interactive activity recognition using pose-based spatio-temporal relation features and four-level Pachinko Allocation Model.
Inf. Sci., 2016

Improving digital image watermarking by means of optimal channel selection.
Expert Syst. Appl., 2016

Describing body-pose feature - poselet - activity relationship using Pachinko Allocation Model.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

An Interactive Activity Recognition Approach Using Articulated-Body Estimation and Pose-Based Features.
Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication, 2016

Fuzzy Fault Detection in IaaS Cloud Computing.
Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication, 2016

Energy savings in processor based on prediction technique.
Proceedings of the 2016 International Conference on Information Networking, 2016

Improved PAM-based traffic behavior recognition using trajectory-wise features.
Proceedings of the 2016 International Conference on Big Data and Smart Computing, 2016

2015
Traffic Behavior Recognition Using the Pachinko Allocation Model.
Sensors, 2015


A novel watermarking scheme for image authentication in social networks.
Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication, 2015

Mining human behavior for health promotion.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Interactive Activity Recognition Using Articulated-Pose Features on Spatio-Temporal Relation.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2015

EAP: Energy-Awareness Predictor in Multicore CPU.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2015

Replication Management Framework for HDFS Based on Prediction Technique.
Proceedings of the Third International Conference on Advanced Cloud and Big Data, 2015

2014
Using weighted dynamic range for histogram equalization to improve the image contrast.
EURASIP J. Image Video Process., 2014

PAM-Based Behavior Modelling.
Proceedings of the Ambient Assisted Living and Daily Activities, 2014


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