PAM-Based Behavior Modelling. - Thien Huynh-The; Ba-Vui Le; Muhammad Fahim; Sungyoung Lee 001; Yongik Yoon 001; Byeong Ho Kang 001 (IWAAL, 2014)

Using weighted dynamic range for histogram equalization to improve the image contrast. - Thien Huynh-The; Ba-Vui Le; Sungyoung Lee 001; Thuong Le-Tien; Yongik Yoon 001 (EURASIP J. Image Video Process., 2014)

Replication Management Framework for HDFS Based on Prediction Technique. - Dinh-Mao Bui; Thien Huynh-The; Sungyoung Lee 001; Bin Li 006; Jin Wang 001 (CBD, 2015)

EAP: Energy-Awareness Predictor in Multicore CPU. - Dinh-Mao Bui; Thien Huynh-The; Yongik Yoon 001; Sungik Jun; Sungyoung Lee 001 (CSA/CUTE, 2015)

Interactive Activity Recognition Using Articulated-Pose Features on Spatio-Temporal Relation. - Thien Huynh-The; Dinh-Mao Bui; Sungyoung Lee 001; Yongik Yoon 001 (CSA/CUTE, 2015)

Mining human behavior for health promotion. - Oresti Baños; Jae Hun Bang; Tae Ho Hur; Muhammad Hameed Siddiqi; Huynh-The Thien; Le-Ba Vui; Wajahat Ali Khan; Taqdir Ali; Claudia Villalonga; Sungyoung Lee 001 (EMBC, 2015)

A novel watermarking scheme for image authentication in social networks. - Thien Huynh-The; Oresti Banos; Sungyoung Lee 001; Yongik Yoon 001; Thuong Le-Tien (IMCOM, 2015)

An Innovative Platform for Person-Centric Health and Wellness Support. - Oresti Banos; Muhammad Bilal Amin; Wajahat Ali Khan; Muhammad Afzal 001; Mahmood Ahmad; Maqbool Ali; Taqdir Ali; Rahman Ali; Hafiz Syed Muhammad Bilal; Manhyung Han; Jamil Hussain; Maqbool Hussain; et al. (IWBBIO (2), 2015)

Traffic Behavior Recognition Using the Pachinko Allocation Model. - Thien Huynh-The; Oresti Baños; Ba-Vui Le; Dinh-Mao Bui; Yongik Yoon 001; Sungyoung Lee 001 (Sensors, 2015)

Improved PAM-based traffic behavior recognition using trajectory-wise features. - Thien Huynh-The; Dinh-Mao Bui; Sungyoung Lee 001; Yongik Yoon 001 (BigComp, 2016)

Energy savings in processor based on prediction technique. - Dinh-Mao Bui; Thien Huynh-The; Sungyoung Lee 001; Yongik Yoon 001; Sungik Jun (ICOIN, 2016)

Fuzzy Fault Detection in IaaS Cloud Computing. - Dinh-Mao Bui; Thien Huynh-The; Sungyoung Lee 001 (IMCOM, 2016)

An Interactive Activity Recognition Approach Using Articulated-Body Estimation and Pose-Based Features. - Thuong Le-Tien; Thien Huynh-The; Sungyoung Lee 001; Yongik Yoon 001 (IMCOM, 2016)

Describing body-pose feature - poselet - activity relationship using Pachinko Allocation Model. - Thien Huynh-The; Ba-Vui Le; Sungyoung Lee 001 (SMC, 2016)

Improving digital image watermarking by means of optimal channel selection. - Thien Huynh-The; Oresti Banos; Sungyoung Lee 001; Yongik Yoon 001; Thuong Le-Tien (Expert Syst. Appl., 2016)

Interactive activity recognition using pose-based spatio-temporal relation features and four-level Pachinko Allocation Model. - Thien Huynh-The; Ba-Vui Le; Sungyoung Lee 001; Yongik Yoon 001 (Inf. Sci., 2016)

Human Behavior Analysis by Means of Multimodal Context Mining. - Oresti Baños; Claudia Villalonga; Jae Hun Bang; Tae Ho Hur; Dong Uk Kang; Sang Beom Park; Thien Huynh-The; Le-Ba Vui; Muhammad Bilal Amin; Muhammad Asif Razzaq; Wajahat Ali Khan; Choong Seon Hong; et al. (Sensors, 2016)

ADM-HIPaR: An efficient background subtraction approach. - Thien Huynh-The; Sungyoung Lee 002; Cam-Hao Hua (AVSS, 2017)

Improving NIC algorithm using different binary structure elements for multi-modal foreground detection. - Thien Huynh-The; Cam-Hao Hua; Sungyoung Lee 002 (IMCOM, 2017)

Color image watermarking using selective MSB-LSB embedding and 2D Otsu thresholding. - Thien Huynh-The; Sungyoung Lee 002 (SMC, 2017)

NIC: A Robust Background Extraction Algorithm for Foreground Detection in Dynamic Scenes. - Thien Huynh-The; Oresti Banos; Sungyoung Lee 001; Byeong Ho Kang 001; Eun-Soo Kim; Thuong Le-Tien (IEEE Trans. Circuits Syst. Video Technol., 2017)

Convolutional Networks with Bracket-Style Decoder for Semantic Scene Segmentation. - Cam-Hao Hua; Thien Huynh-The; Sungyoung Lee 002 (SMC, 2018)

Selective bit embedding scheme for robust blind color image watermarking. - Thien Huynh-The; Cam-Hao Hua; Nguyen Anh Tu; Tae Ho Hur; Jae Hun Bang; Dohyeong Kim; Muhammad Bilal Amin; Byeong Ho Kang 001; Hyonwoo Seung; Sungyoung Lee 001 (Inf. Sci., 2018)

Hierarchical topic modeling with pose-transition feature for action recognition using 3D skeleton data. - Thien Huynh-The; Cam-Hao Hua; Nguyen Anh Tu; Tae Ho Hur; Jae Hun Bang; Dohyeong Kim; Muhammad Bilal Amin; Byeong Ho Kang 001; Hyonwoo Seung; Soo-Yong Shin; Eun-Soo Kim; Sungyoung Lee 001 (Inf. Sci., 2018)

Adaptive Data Boosting Technique for Robust Personalized Speech Emotion in Emotionally-Imbalanced Small-Sample Environments. - Jae Hun Bang; Tae Ho Hur; Dohyeong Kim; Thien Huynh-The; Jongwon Lee; Yongkoo Han; Oresti Banos; Jee-In Kim; Sungyoung Lee 001 (Sensors, 2018)

Iss2Image: A Novel Signal-Encoding Technique for CNN-Based Human Activity Recognition. - Tae Ho Hur; Jae Hun Bang; Thien Huynh-The; Jongwon Lee; Jee-In Kim; Sungyoung Lee 001 (Sensors, 2018)

Early fault detection in IaaS cloud computing based on fuzzy logic and prediction technique. - Dinh-Mao Bui; Thien Huynh-The; Sungyoung Lee 001 (J. Supercomput., 2018)

Robust Image Watermarking Framework Powered by Convolutional Encoder-Decoder Network. - Thien Huynh-The; Cam-Hao Hua; Nguyen Anh Tu; Dong-Seong Kim 002 (DICTA, 2019)

Scalable Video Classification using Bag of Visual Words on Spark. - Nguyen Anh Tu; Thien Huynh-The; Young-Koo Lee (DICTA, 2019)

Retinal Vessel Segmentation using Round-wise Features Aggregation on Bracket-shaped Convolutional Neural Networks. - Cam-Hao Hua; Thien Huynh-The; Sungyoung Lee 002 (EMBC, 2019)

Visualizing Inertial Data For Wearable Sensor Based Daily Life Activity Recognition Using Convolutional Neural Network. - Thien Huynh-The; Cam-Hao Hua; Dong-Seong Kim 002 (EMBC, 2019)

Pose-Based Identification Using Deep Learning for Military Surveillance Systems. - Ali Aouto; Thien Huynh-The; Jae-Min Lee; Dong-Seong Kim 002 (ICTC, 2019)

Data Augmentation For CNN-Based 3D Action Recognition on Small-Scale Datasets. - Thien Huynh-The; Dong-Seong Kim 002 (INDIN, 2019)

Learning Action Images Using Deep Convolutional Neural Networks For 3D Action Recognition. - Thien Huynh-The; Cam-Hao Hua; Dong-Seong Kim 002 (SAS, 2019)

Locally Statistical Dual-Mode Background Subtraction Approach. - Thien Huynh-The; Cam-Hao Hua; Nguyen Anh Tu; Dong-Seong Kim 002 (IEEE Access, 2019)

A Novel VANETs-Based Traffic Light Scheduling Scheme for Greener Planet and Safer Road Intersections. - Trung-Thanh Ngo; Thien Huynh-The; Dong-Seong Kim 002 (IEEE Access, 2019)

Bimodal learning via trilogy of skip-connection deep networks for diabetic retinopathy risk progression identification. - Cam-Hao Hua; Thien Huynh-The; Kiyoung Kim; Seung-Young Yu; Thuong Le-Tien; Gwang Hoon Park; Jae Hun Bang; Wajahat Ali Khan; Sung-Ho Bae; Sungyoung Lee 001 (Int. J. Medical Informatics, 2019)

ML-HDP: A Hierarchical Bayesian Nonparametric Model for Recognizing Human Actions in Video. - Nguyen Anh Tu; Thien Huynh-The; Kifayat-Ullah Khan; Young-Koo Lee (IEEE Trans. Circuits Syst. Video Technol., 2019)

Space-Time Skeletal Analysis with Jointly Dual-Stream ConvNet for Action Recognition. - Thien Huynh-The; Cam-Hao Hua; Nguyen Anh Tu; Dong-Seong Kim 002 (DICTA, 2020)

DRAN: Densely Reversed Attention based Convolutional Network for Diabetic Retinopathy Detection. - Cam-Hao Hua; Thien Huynh-The; Sungyoung Lee 002 (EMBC, 2020)

Learning Constellation Map with Deep CNN for Accurate Modulation Recognition. - Van-Sang Doan; Thien Huynh-The; Cam-Hao Hua; Quoc-Viet Pham; Dong-Seong Kim 002 (GLOBECOM, 2020)

Chain-Net: Learning Deep Model for Modulation Classification Under Synthetic Channel Impairment. - Thien Huynh-The; Van-Sang Doan; Cam-Hao Hua; Quoc-Viet Pham; Dong-Seong Kim 002 (GLOBECOM, 2020)

Learning Geometric Features with Dual-stream CNN for 3D Action Recognition. - Thien Huynh-The; Cam-Hao Hua; Nguyen Anh Tu; Dong-Seong Kim 002 (ICASSP, 2020)

Deep Learning for Constellation-based Modulation Classification under Multipath Fading Channels. - Thien Huynh-The; Cam-Hao Hua; Van-Sang Doan; Quoc-Viet Pham; Toan-Van Nguyen; Dong-Seong Kim 002 (ICTC, 2020)

Multi-shuffled Convolutional Blocks for Low-complex Modulation Recognition. - Godwin Brown Tunze; Thien Huynh-The; Jae-Min Lee; Dong-Seong Kim 002 (ICTC, 2020)

Convolutional Network with Densely Backward Attention for Facial Expression Recognition. - Cam-Hao Hua; Thien Huynh-The; Hyunseok Seo; Sungyoung Lee 002 (IMCOM, 2020)

3D Action Recognition Exploiting Hierarchical Deep Feature Fusion Model. - Thien Huynh-The; Cam-Hao Hua; Nguyen Anh Tu; Jae-Woo Kim; Seung-Hwan Kim 003; Dong-Seong Kim 002 (IMCOM, 2020)

Distributed Feature Extraction on Apache Spark for Human Action Recognition. - Nguyen Anh Tu; Thien Huynh-The; Kok-Seng Wong; Dinh-Mao Bui; Young-Koo Lee (IMCOM, 2020)

Convolutional Neural Network-Based DOA Estimation Using Non-uniform Linear Array for Multipath Channels. - Van-Sang Doan; Thien Huynh-The; Van-Phuc Hoang; Dong-Seong Kim 002 (INISCOM, 2020)

Exploiting a low-cost CNN with skip connection for robust automatic modulation classification. - Thien Huynh-The; Cam-Hao Hua; Jae-Woo Kim; Seung-Hwan Kim 003; Dong-Seong Kim 002 (WCNC, 2020)

Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts. - Quoc-Viet Pham; Dinh C. Nguyen; Thien Huynh-The; Won-Joo Hwang; Pubudu N. Pathirana (IEEE Access, 2020)

Clustering and Power Allocation for UAV-assisted NOMA-VLC Systems: A Swarm Intelligence Approach. - Quoc-Viet Pham; Nhu-Ngoc Dao; Thien Huynh-The; Jun Zhao 007; Won-Joo Hwang (CoRR, 2020)

Intelligent Radio Signal Processing: A Contemporary Survey. - Quoc-Viet Pham; Nhan Thanh Nguyen 001; Thien Huynh-The; Long Bao Le; Kyungchun Lee; Won-Joo Hwang (CoRR, 2020)

MCNet: An Efficient CNN Architecture for Robust Automatic Modulation Classification. - Thien Huynh-The; Cam-Hao Hua; Quoc-Viet Pham; Dong-Seong Kim 002 (IEEE Commun. Lett., 2020)

Learning 3D spatiotemporal gait feature by convolutional network for person identification. - Thien Huynh-The; Cam-Hao Hua; Nguyen Anh Tu; Dong-Seong Kim 002 (Neurocomputing, 2020)

Sum-Rate Maximization for UAV-Assisted Visible Light Communications Using NOMA: Swarm Intelligence Meets Machine Learning. - Quoc-Viet Pham; Thien Huynh-The; Mamoun Alazab; Jun Zhao 007; Won-Joo Hwang (IEEE Internet Things J., 2020)

Cross-Attentional Bracket-shaped Convolutional Network for semantic image segmentation. - Cam-Hao Hua; Thien Huynh-The; Sung-Ho Bae; Sungyoung Lee 002 (Inf. Sci., 2020)

Image representation of pose-transition feature for 3D skeleton-based action recognition. - Thien Huynh-The; Cam-Hao Hua; Trung-Thanh Ngo; Dong-Seong Kim 002 (Inf. Sci., 2020)

Encoding Pose Features to Images With Data Augmentation for 3-D Action Recognition. - Thien Huynh-The; Cam-Hao Hua; Dong-Seong Kim 002 (IEEE Trans. Ind. Informatics, 2020)

Sparsely Connected CNN for Efficient Automatic Modulation Recognition. - Godwin Brown Tunze; Thien Huynh-The; Jae-Min Lee; Dong-Seong Kim 002 (IEEE Trans. Veh. Technol., 2020)

An Efficient QoS Routing Protocol in Cognitive Radio MANETs: Cross-Layer Design Meets Deep Reinforcement Learning. - Toan-Van Nguyen; Thong Nhat Tran; Thien Huynh-The; Beongku An (ICEIC, 2021)

Densely-Accumulated Convolutional Network for Accurate LPI Radar Waveform Recognition. - Thien Huynh-The; Quoc-Viet Pham; Toan-Van Nguyen; Van-Sang Doan; Nhan Thanh Nguyen 001; Daniel Benevides da Costa; Dong-Seong Kim 002 (GLOBECOM, 2021)

A Deep CNN-based Relay Selection in EH Full-Duplex IoT Networks with Short-Packet Communications. - Toan-Van Nguyen; Thien Huynh-The; Beongku An (ICC, 2021)

Deep Learning for Coexistence Radar-Communication Waveform Recognition. - Thien Huynh-The; Quoc-Viet Pham; Toan-Van Nguyen; Dong-Seong Kim 002 (ICTC, 2021)

Deep Learning-based Automatic Modulation Classification for Wireless OFDM Communications. - Thien Huynh-The; Quoc-Viet Pham; Toan-Van Nguyen; Xuan-Qui Pham; Dong-Seong Kim 002 (ICTC, 2021)

A QoE-based Optimization Approach to Computation Offloading in Vehicle-assisted Multi-access Edge Computing. - Xuan-Qui Pham; Thien Huynh-The; Dong-Seong Kim 002 (ICTC, 2021)

Machine Learning-based Reconfigurable Intelligent Surface-aided MIMO Systems. - Nhan Thanh Nguyen 001; Ly Van Nguyen; Thien Huynh-The; Duy H. N. Nguyen; A. Lee Swindlehurst; Markku J. Juntti (SPAWC, 2021)

Automatic Modulation Classification: A Deep Architecture Survey. - Thien Huynh-The; Quoc-Viet Pham; Toan-Van Nguyen; Thanh Thi Nguyen 001; Rukhsana Ruby; Ming Zeng 002; Dong-Seong Kim 002 (IEEE Access, 2021)

Intelligent Radio Signal Processing: A Survey. - Quoc-Viet Pham; Nhan Thanh Nguyen 001; Thien Huynh-The; Long Bao Le; Kyungchun Lee; Won-Joo Hwang (IEEE Access, 2021)

Fusion of Federated Learning and Industrial Internet of Things: A Survey. - Parimala M.; R. M. Swarna Priya; Quoc-Viet Pham; Kapal Dev; Praveen Kumar Reddy Maddikunta; Thippa Reddy Gadekallu; Thien Huynh-The (CoRR, 2021)

Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions. - Thippa Reddy Gadekallu; Quoc-Viet Pham; Thien Huynh-The; Sweta Bhattacharya; Praveen Kumar Reddy Maddikunta; Madhusanka Liyanage (CoRR, 2021)

Explainable AI for B5G/6G: Technical Aspects, Use Cases, and Research Challenges. - Shen Wang 006; Muhammad Atif Qureshi 001; Luis Miralles-Pechuaán; Thien Huynh-The; Thippa Reddy Gadekallu; Madhusanka Liyanage (CoRR, 2021)

Accurate Deep CNN-Based Waveform Recognition for Intelligent Radar Systems. - Thien Huynh-The; Cam-Hao Hua; Van-Sang Doan; Quoc-Viet Pham; Dong-Seong Kim 002 (IEEE Commun. Lett., 2021)

Physical Activity Recognition With Statistical-Deep Fusion Model Using Multiple Sensory Data for Smart Health. - Thien Huynh-The; Cam-Hao Hua; Nguyen Anh Tu; Dong-Seong Kim 002 (IEEE Internet Things J., 2021)

A Deep-Neural-Network-Based Relay Selection Scheme in Wireless-Powered Cognitive IoT Networks. - Toan-Van Nguyen; Thong Nhat Tran; Kyusung Shim; Thien Huynh-The; Beongku An (IEEE Internet Things J., 2021)

Convolutional Network With Twofold Feature Augmentation for Diabetic Retinopathy Recognition From Multi-Modal Images. - Cam-Hao Hua; Kiyoung Kim; Thien Huynh-The; Jong In You; Seung-Young Yu; Thuong Le-Tien; Sung-Ho Bae; Sungyoung Lee 001 (IEEE J. Biomed. Health Informatics, 2021)

Toward efficient and intelligent video analytics with visual privacy protection for large-scale surveillance. - Nguyen Anh Tu; Thien Huynh-The; Kok-Seng Wong; M. Fatih Demirci; Young-Koo Lee (J. Supercomput., 2021)

RFDOA-Net: An Efficient ConvNet for RF-Based DOA Estimation in UAV Surveillance Systems. - Rubina Akter; Van-Sang Doan; Thien Huynh-The; Dong-Seong Kim 002 (IEEE Trans. Veh. Technol., 2021)

Short-Packet Communications in Wireless-Powered Cognitive IoT Networks: Performance Analysis and Deep Learning Evaluation. - Chung Duc Ho; Toan-Van Nguyen; Thien Huynh-The; Tien-Tung Nguyen; Daniel Benevides da Costa; Beongku An (IEEE Trans. Veh. Technol., 2021)

UAV Communications for Sustainable Federated Learning. - Quoc-Viet Pham; Ming Zeng 002; Rukhsana Ruby; Thien Huynh-The; Won-Joo Hwang (IEEE Trans. Veh. Technol., 2021)

Accurate LPI Radar Waveform Recognition With CWD-TFA for Deep Convolutional Network. - Thien Huynh-The; Van-Sang Doan; Cam-Hao Hua; Quoc-Viet Pham; Toan-Van Nguyen; Dong-Seong Kim 002 (IEEE Wirel. Commun. Lett., 2021)

An Efficient Deep CNN Design for EH Short-Packet Communications in Multihop Cognitive IoT Networks. - Toan-Van Nguyen; Thien Huynh-The; Van-Dinh Nguyen; Daniel Benevides da Costa; Rose Qingyang Hu; Beongku An (ICC, 2022)

UAV-enabled Wireless Powered Communication for Energy-Efficient Federated Learning. - Quoc-Viet Pham; Mai Le; Thien Huynh-The; Zhu Han 001; Won-Joo Hwang (ICC, 2022)

A Vision of Distributed Cloud Computing. - Xuan-Qui Pham; Thien Huynh-The; Dong-Seong Kim 002 (ICTC, 2022)

2D Skeleton-based Action Recognition Using Action-Snippets and Sequential Deep Learning. - Aizada Askar; Min-Ho Lee; Thien Huynh-The; Nguyen Anh Tu (SMC, 2022)

Automatic Modulation Classification with Low-Cost Attention Network for Impaired OFDM Signals. - Thien Huynh-The; Quoc-Viet Pham; Toan-Van Nguyen; Daniel Benevides da Costa; Dong-Seong Kim 002 (WCNC, 2022)

RF-UAVNet: High-Performance Convolutional Network for RF-Based Drone Surveillance Systems. - Thien Huynh-The; Quoc-Viet Pham; Toan-Van Nguyen; Daniel Benevides da Costa; Dong-Seong Kim 002 (IEEE Access, 2022)

Signal Preprocessing Technique With Noise-Tolerant for RF-Based UAV Signal Classification. - Dae-Il Noh; Seon-Geun Jeong; Huu-Trung Hoang; Quoc-Viet Pham; Thien Huynh-The; Mikio Hasegawa; Hiroo Sekiya; Sunyoung Kwon; Sang-Hwa Chung; Won-Joo Hwang (IEEE Access, 2022)

Fusion of Federated Learning and Industrial Internet of Things: A survey. - M. Parimala Boobalan; Swarna Priya Ramu; Quoc-Viet Pham; Kapal Dev; Sharnil Pandya; Praveen Kumar Reddy Maddikunta; Thippa Reddy Gadekallu; Thien Huynh-The (Comput. Networks, 2022)

Edge Computing for Semantic Communication Enabled Metaverse: An Incentive Mechanism Design. - Nguyen Cong Luong 001; Quoc-Viet Pham; Thien Huynh-The; Van-Dinh Nguyen; Derrick Wing Kwan Ng; Symeon Chatzinotas (CoRR, 2022)

Deep learning for deepfakes creation and detection: A survey. - Thanh Nguyen 004; Quoc Viet Hung Nguyen; Dung Tien Nguyen; Duc Thanh Nguyen; Thien Huynh-The; Saeid Nahavandi; Thanh Tam Nguyen; Quoc-Viet Pham; Cuong M. Nguyen (Comput. Vis. Image Underst., 2022)

MoDANet: Multi-Task Deep Network for Joint Automatic Modulation Classification and Direction of Arrival Estimation. - Van-Sang Doan; Thien Huynh-The; Van-Phuc Hoang; Duy-Thai Nguyen (IEEE Commun. Lett., 2022)

Incentive techniques for the Internet of Things: A survey. - Praveen Kumar Reddy Maddikunta; Quoc-Viet Pham; Dinh C. Nguyen; Thien Huynh-The; Ons Aouedi; Gokul Yenduri; Sweta Bhattacharya; Thippa Reddy Gadekallu (J. Netw. Comput. Appl., 2022)

Underwater Acoustic Target Classification Based on Dense Convolutional Neural Network. - Van-Sang Doan; Thien Huynh-The; Dong-Seong Kim 002 (IEEE Geosci. Remote. Sens. Lett., 2022)

Aerial Access Networks for Federated Learning: Applications and Challenges. - Quoc-Viet Pham; Ming Zeng 002; Thien Huynh-The; Zhu Han 001; Won-Joo Hwang (IEEE Netw., 2022)

MIMO-OFDM Modulation Classification Using Three-Dimensional Convolutional Network. - Thien Huynh-The; Toan-Van Nguyen; Quoc-Viet Pham; Daniel Benevides da Costa; Dong-Seong Kim 002 (IEEE Trans. Veh. Technol., 2022)

Partial Computation Offloading in Parked Vehicle-Assisted Multi-Access Edge Computing: A Game-Theoretic Approach. - Xuan-Qui Pham; Thien Huynh-The; Eui-Nam Huh; Dong-Seong Kim 002 (IEEE Trans. Veh. Technol., 2022)

Energy-Efficient Federated Learning Over UAV-Enabled Wireless Powered Communications. - Quoc-Viet Pham; Mai Le; Thien Huynh-The; Zhu Han 001; Won-Joo Hwang (IEEE Trans. Veh. Technol., 2022)

RanNet: Learning Residual-Attention Structure in CNNs for Automatic Modulation Classification. - Thien Huynh-The; Quoc-Viet Pham; Toan-Van Nguyen; Thanh Nguyen 004; Daniel Benevides da Costa; Dong-Seong Kim 002 (IEEE Wirel. Commun. Lett., 2022)

Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules. - Thanh Thi Nguyen 001; Minh Cuong Nguyen; Thien Huynh-The; Quoc-Viet Pham; Quoc Viet Hung Nguyen; Imran Razzak; Vijay Janapa Reddi (ICCS (2), 2023)

Strategic Improvements of SqueezeSegV2 for Road-Scene Semantic Segmentation Using 3D LiDAR Point Cloud. - Quang-Thai Le; Quoc-Hung Tran; Thien Huynh-The (SoICT, 2023)

PointGANet: A Lightweight 3D Point Cloud Learning Architecture for Semantic Segmentation. - Lam Mai-Thanh; Khoi Tran-Minh; Thien Huynh-The (SoICT, 2023)

Accurate Spectrum Sensing with Improved DeepLabV3+ for 5G-LTE Signals Identification. - Gia-Vuong Nguyen; Ca Van Phan 001; Thien Huynh-The (SoICT, 2023)

LiPoSeg: A Lightweight Encoder-Decoder Network for LiDAR-based Road-Object Semantic Segmentation. - Anh-Kiet Vo; Thien Huynh-The (SoICT, 2023)

An Efficient Deep Network for Modulation Classification in Impaired MIMO-OFDM Systems. - Thien Huynh-The; Quoc-Viet Pham; Toan-Van Nguyen; Daniel Benevides da Costa; Van-Phuc Hoang (SSP, 2023)

Intelligent Spectrum Sensing with ConvNet for 5G and LTE Signals Identification. - Thien Huynh-The; Quoc-Viet Pham; Thai-Hoc Vu; Daniel Benevides da Costa; Van-Phuc Hoang (SSP, 2023)

Performance Analysis and Deep Learning Evaluation of URLLC Full-Duplex Energy Harvesting IoT Networks over Nakagami-m Fading Channels. - Toan-Van Nguyen; Thien Huynh-The; Vo Nguyen Quoc Bao (SSP, 2023)

Outage Performance of THz-aided NOMA Systems with Spherical Stochastic Model. - Thai-Hoc Vu; Khac-Tuan Nguyen; Quoc-Viet Pham; Thien Huynh-The; Daniel Benevides da Costa; Vo Nguyen Quoc Bao; Sunghwan Kim 001 (SSP, 2023)

Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions. - Rajeswari Chengoden; Nancy Victor; Thien Huynh-The; Gokul Yenduri; Rutvij H. Jhaveri; Mamoun Alazab; Sweta Bhattacharya; Pawan Hegde; Praveen Kumar Reddy Maddikunta; Thippa Reddy Gadekallu (IEEE Access, 2023)

Need of 6G for the Metaverse Realization. - Bartlomiej Siniarski; Chamitha de Alwis; Gokul Yenduri; Thien Huynh-The; Gürkan Gür; Thippa Reddy Gadekallu; Madhusanka Liyanage (CoRR, 2023)

A Survey on Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions. - Ali Kashif Bashir; Nancy Victor; Sweta Bhattacharya; Thien Huynh-The; Rajeswari Chengoden; Gokul Yenduri; Praveen Kumar Reddy Maddikunta; Quoc-Viet Pham; Thippa Reddy Gadekallu; Madhusanka Liyanage (CoRR, 2023)

Artificial intelligence for the metaverse: A survey. - Thien Huynh-The; Quoc-Viet Pham; Xuan-Qui Pham; Thanh Thi Nguyen 001; Zhu Han 001; Dong-Seong Kim 002 (Eng. Appl. Artif. Intell., 2023)

Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions. - Ali Kashif Bashir; Nancy Victor; Sweta Bhattacharya; Thien Huynh-The; Rajeswari Chengoden; Gokul Yenduri; Praveen Kumar Reddy Maddikunta; Quoc-Viet Pham; Thippa Reddy Gadekallu; Madhusanka Liyanage (IEEE Internet Things J., 2023)

Short-Packet Communications in Multihop Networks With WET: Performance Analysis and Deep Learning-Aided Optimization. - Toan-Van Nguyen; Van-Dinh Nguyen; Daniel Benevides da Costa; Thien Huynh-The; Rose Qingyang Hu; Beongku An (IEEE Trans. Wirel. Commun., 2023)

Efficient Convolutional Networks for Robust Automatic Modulation Classification in OFDM-Based Wireless Systems. - Thien Huynh-The; Toan-Van Nguyen; Quoc-Viet Pham; Daniel Benevides da Costa; Gi Hyeob Kwon; Dong-Seong Kim 002 (IEEE Syst. J., 2023)

Energy-Efficient Multiprocessor-Based Computation and Communication Resource Allocation in Two-Tier Federated Learning Networks. - Rukhsana Ruby; Hailiang Yang; Felipe A. P. de Figueiredo; Thien Huynh-The; Kaishun Wu (IEEE Internet Things J., 2023)

Distributed Cloud Computing: Architecture, Enabling Technologies, and Open Challenges. - Xuan-Qui Pham; Tien-Dung Nguyen 001; Thien Huynh-The; Eui-Nam Huh; Dong-Seong Kim 002 (IEEE Consumer Electron. Mag., 2023)

Blockchain for the metaverse: A Review. - Thien Huynh-The; Thippa Reddy Gadekallu; Weizheng Wang 001; Gokul Yenduri; Pasika Ranaweera; Quoc-Viet Pham; Daniel Benevides da Costa; Madhusanka Liyanage (Future Gener. Comput. Syst., 2023)

Efficient LDPC Code Design based on Genetic Algorithm for IoT Applications. - Loc Nguyen-Van-Thanh; Tan Do-Duy; Thien Huynh-The (EAI Endorsed Trans. Ind. Networks Intell. Syst., 2024)

Short-packet communications in wireless energy transfer full-duplex IoT networks with deep learning design. - Toan-Van Nguyen; Thien Huynh-The; Vo Nguyen Quoc Bao (J. Commun. Networks, 2024)

Enhancing Aerial Semantic Segmentation With Feature Aggregation Network for DeepLabV3+. - Gia-Vuong Nguyen; Thien Huynh-The (IEEE Geosci. Remote. Sens. Lett., 2024)

Explainable AI for 6G Use Cases: Technical Aspects and Research Challenges. - Shen Wang 006; Muhammad Atif Qureshi 001; Luis Miralles-Pechuán; Thien Huynh-The; Thippa Reddy Gadekallu; Madhusanka Liyanage (IEEE Open J. Commun. Soc., 2024)

HBSeNet: A Hybrid Bilateral Network for Accurate Semantic Segmentation of Remote Sensing Images. - Thien Huynh-The; Son Ngoc Truong; Gia-Vuong Nguyen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Joint Partial Offloading and Resource Allocation for Parked Vehicle-Assisted Multi-Access Edge Computing. - Xuan-Qui Pham; Thien Huynh-The; Dong-Seong Kim 002 (IEEE Trans. Emerg. Top. Comput., 2024)

Extension of physical activity recognition with 3D CNN using encrypted multiple sensory data to federated learning based on multi-key homomorphic encryption. - Chi-Hieu Pham; Thien Huynh-The; Ehsan Sedgh Gooya; Marwa El Bouz; Ayman Alfalou (Comput. Methods Programs Biomed., 2024)

Secrecy Performance of Short-Packet Communications in MultiHop IoT Networks With Imperfect CSI. - Toan-Van Nguyen; Thai-Hoc Vu; Thien Huynh-The; Daniel Benevides da Costa (IEEE Wirel. Commun. Lett., 2024)

Incentive Mechanism and Semantic Communication for Edge Computing-Assisted Metaverse. - Nguyen Cong Luong 001; Thien Huynh-The; Van-Dinh Nguyen; Derrick Wing Kwan Ng; Symeon Chatzinotas; Dusit Niyato; Quoc-Viet Pham (IEEE Netw., 2024)

WaveNet: Toward Waveform Classification in Integrated Radar-Communication Systems With Improved Accuracy and Reduced Complexity. - Thien Huynh-The; Van-Phuc Hoang; Jae-Woo Kim; Minh-Thanh Le; Ming Zeng 002 (IEEE Internet Things J., 2024)

Improved Waveform Classification for Integrated Radar-Communication 6G Systems via Convolutional Neural Networks. - Thien Huynh-The; Nguyen Cong Luong 001; Hoc Phan; Daniel Benevides da Costa; Quoc-Viet Pham (IEEE Trans. Veh. Technol., 2024)

Cyberattacks Classification by Tuning Deep Hyperparameters Using Bayesian Optimization. - Truong-Thinh Le; Thien Huynh-The (IMCOM, 2025)

A Resolution-Preserving Multi-Scale Network for Spectrogram-Based Semantic Segmentation of 5G-LTE Signals in Spectrum Sensing. - Huu-Tai Nguyen; Hai-Trang Phuoc Dang; Thien Huynh-The (IMCOM, 2025)

RS-YOLOv10: Enhancing YOLOv10 for Accurate Small-Object Detection. - Dat Minh-Tien Nguyen; Thien Huynh-The (IMCOM, 2025)

The Metaverse for Industry 5.0 in NextG Communications: Potential Applications and Future Challenges. - Prabadevi Boopathy; Natarajan Deepa; Praveen Kumar Reddy Maddikunta; Nancy Victor; Thippa Reddy Gadekallu; Gokul Yenduri; Wei Wang 077; Quoc-Viet Pham; Thien Huynh-The; Madhusanka Liyanage (IEEE Open J. Comput. Soc., 2025)

CosPoint Transformer: Enhancing 3-D Semantic Segmentation With Cosine Similarity Attention and Cross-Attention. - Thien Huynh-The; Minh-Thanh Le; Won Jae Ryu; Anh-Kiet Vo (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Total Computational Bits Maximization for STAR-RIS Aided Wireless Power Transfer Mobile Edge Computing Networks: TDMA or NOMA? - Mohammadhossein Alishahi; Paul Fortier; Ming Zeng 002; Quoc-Viet Pham; Thien Huynh-The (IEEE Trans. Veh. Technol., 2025)

SRNet: Deep Semantic Segmentation Network for Spectrum Sensing in Wireless Communications. - Thien Huynh-The; Gia-Vuong Nguyen; Thai-Hoc Vu; Daniel Benevides da Costa; Quoc-Viet Pham (IEEE Wirel. Commun. Lett., 2025)

Applications of Distributed Machine Learning for the Internet-of-Things: A Comprehensive Survey. - Mai Le; Thien Huynh-The; Tan Do-Duy; Thai-Hoc Vu; Won-Joo Hwang; Quoc-Viet Pham (IEEE Commun. Surv. Tutorials, 2025)

Latency Minimization for STAR-RIS-Aided Federated Learning Networks With Wireless Power Transfer. - Mohammadhossein Alishahi; Paul Fortier; Ming Zeng 002; Thien Huynh-The; Xingwang Li 001; Quoc-Viet Pham (IEEE Internet Things J., 2025)

Integration of TinyML and LargeML: A Survey of 6G and Beyond. - Thai-Hoc Vu; Ngo Hoang Tu; Thien Huynh-The; Kyungchun Lee; Sunghwan Kim 001; Miroslav Voznák; Quoc-Viet Pham (CoRR, 2025)

Toward Robust Channel Estimation in 5G With Atrous Pyramid Attention Networks. - Ngoc-Ha Truong; Gia-Vuong Nguyen; Son Ngoc Truong; Thien Huynh-The (IEEE Commun. Lett., 2025)

Resolution-Preserving Multi-Scale Network for 5G-LTE Spectrogram-Based Spectrum Sensing. - Huu-Tai Nguyen; Hai-Trang Phuoc Dang; Quoc-Viet Pham; Thien Huynh-The (IEEE Wirel. Commun. Lett., 2025)

Efficient Spectrum Sensing via a Multi-Scale Dual-Path Segmentation Network. - Truong-Thinh Le; Daniel Benevides da Costa; Thien Huynh-The (IEEE Wirel. Commun. Lett., 2025)

Diffusion Models for Future Networks and Communications: A Comprehensive Survey. - Nguyen Cong Luong 001; Nguyen Duc Hai; Duc Van Le; Huy T. Nguyen 001; Thai-Hoc Vu; Thien Huynh-The; Ruichen Zhang; Nguyen Duc Duy Anh; Dusit Niyato; Marco Di Renzo; Dong In Kim; Quoc-Viet Pham (CoRR, 2025)

A New Look for Outage and Ergodic Improvements in Coordinated IoT Paradigms With Hybrid Multiple Access. - Thai-Hoc Vu; Anh-Tu Le; Thien Huynh-The; Daniel Benevides da Costa; Sunghwan Kim 001 (IEEE Trans. Veh. Technol., 2025)