A hybrid Fuzzy-PI cascade controller for transient stability improvement in DFIG wind generators. - Minh Quan Duong; Francesco Grimaccia; Sonia Leva; Marco Mussetta; Kim Hung Le (FUZZ-IEEE, 2016)

An industrial IoT framework to simplify connection process using system-generated connector. - Kim-Hung Le; Soumya Kanti Datta; Christian Bonnet; François Hamon; Alexandre Boudonne (RTSI, 2017)

A scalable IoT framework to design logical data flow using virtual sensor. - Kim-Hung Le; Soumya Kanti Datta; Christian Bonnet; François Hamon; Alexandre Boudonne (WiMob, 2017)

Modeling and Performance Evaluation of a Fuzzy Logic Controller for Buck-Boost DC/DC Converters. - Minh Quan Duong; Kim Hung Le; Francesco Grimaccia; Sonia Leva; Marco Mussetta (FUZZ-IEEE, 2018)

WoT-AD: A Descriptive Language for Group of Things in Massive IoT. - Kim-Hung Le; Soumya Kanti Datta; Christian Bonnet; François Hamon (WF-IoT, 2019)

User-driven Error Detection for Time Series with Events. - Kim-Hung Le; Paolo Papotti (ICDE, 2020)

User-Driven Adaptive Sampling for Massive Internet of Things. - Kim-Hung Le; Quan Le Trung (IEEE Access, 2020)

Application Firefly Algorithm for Improvement STATCOM Controller to Enhance the Stability in a Grid Connected to Wind Power. - Huu-Vinh Nguyen; Hung Nguyen; Kim Hung Le; Minh Tien Cao; Qui-Thoi Le; Ngoc-Tuan Tran (ICSSE, 2021)

AirGen: GAN-based synthetic data generator for air monitoring in Smart City. - Khanh-Hoi Le Minh; Kim-Hung Le (RTSI, 2021)

An Effective Reactive Power Compensation Method and a Modern Metaheuristic Algorithm for Loss Reduction in Distribution Power Networks. - Thang Trung Nguyen; Kim Hung Le; Tan Minh Phan; Minh Quan Duong (Complex., 2021)

A lightweight Machine-learning based Wireless Link Estimation for IoT devices. - Khanh-Hoi Le Minh; Kim-Hung Le; Quan Le Trung (APCC, 2022)

Towards an Attention-Based Threat Detection System for IoT Networks. - Thanh-Nhan Nguyen; Khanh-Mai Dang; Anh-Duy Tran; Kim-Hung Le (FDSE (CCIS Volume), 2022)

Preventing Adversarial Attacks Against Deep Learning-Based Intrusion Detection System. - Xuan-Ha Nguyen; Xuan-Duong Nguyen; Kim-Hung Le (ISPEC, 2022)

Enhancing Explainability of Machine Learning-based Intrusion Detection Systems. - Thi-Ngoc-Phuc Ho; Thuy-Linh Nguyen; Xuan-Ha Nguyen; Kim-Hung Le (RIVF, 2022)

A Real-time Border Surveillance System using Deep Learning and Edge Computing. - Dang-Khoa Luong-Huu; Tan-An Ngo; Huy-Tan Thai; Kim-Hung Le (RIVF, 2022)

Realguard: A Lightweight Network Intrusion Detection System for IoT Gateways. - Xuan-Ha Nguyen; Xuan-Duong Nguyen; Hoang-Hai Huynh; Kim-Hung Le (Sensors, 2022)

Towards Generating Semi-Synthetic Datasets for Network Intrusion Detection System. - Ngoc-Truong Nguyen; Ton-Nhan Le; Khanh-Hoi Le Minh; Kim-Hung Le (ICOIN, 2023)

The Impact of Rotational Invariance on Tree- and Deep Learning-Based Network Intrusion Detection System. - Dat-Thinh Nguyen; Xuan-Ha Nguyen; Kim-Hung Le (RIVF, 2023)

Benchmarking SVM Variants for Unsupervised Intrusion Detection System. - Xuan-Ha Nguyen; Dat-Thinh Nguyen; Kim-Hung Le (RIVF, 2023)

FormerLeaf: An efficient vision transformer for Cassava Leaf Disease detection. - Huy-Tan Thai; Kim-Hung Le; Ngan Luu-Thuy Nguyen (Comput. Electron. Agric., 2023)

BrainyEdge: An AI-enabled framework for IoT edge computing. - Kim-Hung Le; Khanh-Hoi Le Minh; Huy-Tan Thai (ICT Express, 2023)

Robust detection of unknown DoS/DDoS attacks in IoT networks using a hybrid learning model. - Xuan-Ha Nguyen; Kim-Hung Le (Internet Things, 2023)

Towards sustainable agriculture: A lightweight hybrid model and cloud-based collection of datasets for efficient leaf disease detection. - Huy-Tan Thai; Kim-Hung Le; Ngan Luu-Thuy Nguyen (Future Gener. Comput. Syst., 2023)

The robust scheme for intrusion detection system in Internet of Things. - Dat-Thinh Nguyen; Kim-Hung Le (Internet Things, 2023)

BERT-Enhanced DGA Botnet Detection: A Comparative Analysis of Machine Learning and Deep Learning Models. - Qui Cao; Phuc Dao-Hoang; Dat-Thinh Nguyen; Xuan-Ha Nguyen; Kim-Hung Le (ICCAIS, 2024)

A Multi-Input Bi-LSTM Autoencoder Model with Wavelet Transform for Air Quality Prediction. - Minh-Hao Ho; Nhu-Y. Tran-Van; Kim-Hung Le (MAPR, 2024)

An Automated Benchmarking Framework for Anomaly-based Intrusion Detection Systems. - Hoang-Cong-Thanh Nguyen; Xuan-Ha Nguyen; Kim-Hung Le (MAPR, 2024)

Deep Learning Models for UAV-Assisted Bridge Inspection: A YOLO Benchmark Analysis. - Trong-Nhan Phan; Hoang-Hai Nguyen; Thi-Thu-Hien Ha; Huy-Tan Thai; Kim-Hung Le (CoRR, 2024)

EF-CenterNet: An efficient anchor-free model for UAV-based banana leaf disease detection. - Huy-Tan Thai; Kim-Hung Le; Ngan Luu-Thuy Nguyen (Comput. Electron. Agric., 2025)

A multimodal skin lesion classification through cross-attention fusion and collaborative edge computing. - Nhu-Y. Tran-Van; Kim-Hung Le (Comput. Medical Imaging Graph., 2025)

DetectVul: A statement-level code vulnerability detection for Python. - Hoai-Chau Tran; Anh-Duy Tran; Kim-Hung Le (Future Gener. Comput. Syst., 2025)

TinyResViT: A lightweight hybrid deep learning model for on-device corn leaf disease detection. - Van-Linh Truong-Dang; Huy-Tan Thai; Kim-Hung Le (Internet Things, 2025)

nNFST: A single-model approach for multiclass novelty detection in network intrusion detection systems. - Xuan-Ha Nguyen; Kim-Hung Le (J. Netw. Comput. Appl., 2025)

CoFANN: A collaborative framework for accelerating DNN inference in drone-based agricultural monitoring systems. - Nhu-Y. Tran-Van; Kim-Hung Le (Simul. Model. Pract. Theory, 2025)

Bigsids: an efficient SDN-based network intrusion detection systems for big data environments. - Hoang-Hai Huynh; Xuan-Ha Nguyen; Xuan-Duong Nguyen; Kim-Hung Le (Clust. Comput., 2025)

MTAS: A temporal-aware multiview graph attention framework for early rumor detection on social media. - Hoang-Trung Le-Pham; The-Phong Nguyen; Anh-Duy Tran; Kim-Hung Le (Inf. Fusion, 2026)