Kim-Hung Le

36 papers A* 1A 1B 1C 2Journal 18Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
MTAS: A temporal-aware multiview graph attention framework for early rumor detection on social media.
Inf. Fusion
Hoang-Trung Le-Pham, The-Phong Nguyen, Anh-Duy Tran, Kim-Hung Le
2025 — conf
A Dual-Layer Defense Mechanism for Dropout Attack in Wireless Link Estimation.
ICCCI (2)
Huy-Cuong Nguyen, Hoang-Trung Le-Pham, Xuan-Ha Nguyen, Khanh-Hoi Le Minh, Kim-Hung Le
2025 J jnl
A multimodal skin lesion classification through cross-attention fusion and collaborative edge computing.
Comput. Medical Imaging Graph.
Nhu-Y. Tran-Van, Kim-Hung Le
2025 J jnl
Beyond VirusTotal: A semantic approach to building reliable and up-to-date android malware datasets from threat reports.
Array
Ngoc-Truong Nguyen, Kim-Hung Le
2025 J jnl
Bigsids: an efficient SDN-based network intrusion detection systems for big data environments.
Clust. Comput.
Hoang-Hai Huynh, Xuan-Ha Nguyen, Xuan-Duong Nguyen, Kim-Hung Le
2025 J jnl
CoFANN: A collaborative framework for accelerating DNN inference in drone-based agricultural monitoring systems.
Simul. Model. Pract. Theory
Nhu-Y. Tran-Van, Kim-Hung Le
2025 J jnl
DetectVul: A statement-level code vulnerability detection for Python.
Future Gener. Comput. Syst.
Hoai-Chau Tran, Anh-Duy Tran, Kim-Hung Le
2025 J jnl
EF-CenterNet: An efficient anchor-free model for UAV-based banana leaf disease detection.
Comput. Electron. Agric.
Huy-Tan Thai, Kim-Hung Le, Ngan Luu-Thuy Nguyen
2025 A conf
Stabilizing Data-Free Model Extraction.
ECAI
Dat-Thinh Nguyen, Kim-Hung Le, Nhien-An Le-Khac
2025 J jnl
Stabilizing Data-Free Model Extraction.
CoRR
Dat-Thinh Nguyen, Kim-Hung Le, Nhien-An Le-Khac
2025 J jnl
TinyResViT: A lightweight hybrid deep learning model for on-device corn leaf disease detection.
Internet Things
Van-Linh Truong-Dang, Huy-Tan Thai, Kim-Hung Le
2025 J jnl
nNFST: A single-model approach for multiclass novelty detection in network intrusion detection systems.
J. Netw. Comput. Appl.
Xuan-Ha Nguyen, Kim-Hung Le
2024 — conf
A Multi-Input Bi-LSTM Autoencoder Model with Wavelet Transform for Air Quality Prediction.
MAPR
Minh-Hao Ho, Nhu-Y. Tran-Van, Kim-Hung Le
2024 — conf
An Automated Benchmarking Framework for Anomaly-based Intrusion Detection Systems.
MAPR
Hoang-Cong-Thanh Nguyen, Xuan-Ha Nguyen, Kim-Hung Le
2024 — conf
BERT-Enhanced DGA Botnet Detection: A Comparative Analysis of Machine Learning and Deep Learning Models.
ICCAIS
Qui Cao, Phuc Dao-Hoang, Dat-Thinh Nguyen, Xuan-Ha Nguyen, Kim-Hung Le
2024 J jnl
Deep Learning Models for UAV-Assisted Bridge Inspection: A YOLO Benchmark Analysis.
CoRR
Trong-Nhan Phan, Hoang-Hai Nguyen, Thi-Thu-Hien Ha, Huy-Tan Thai, Kim-Hung Le
2023 — conf
Benchmarking SVM Variants for Unsupervised Intrusion Detection System.
RIVF
Xuan-Ha Nguyen, Dat-Thinh Nguyen, Kim-Hung Le
2023 J jnl
BrainyEdge: An AI-enabled framework for IoT edge computing.
ICT Express
Kim-Hung Le, Khanh-Hoi Le Minh, Huy-Tan Thai
2023 J jnl
FormerLeaf: An efficient vision transformer for Cassava Leaf Disease detection.
Comput. Electron. Agric.
Huy-Tan Thai, Kim-Hung Le, Ngan Luu-Thuy Nguyen
2023 J jnl
Robust detection of unknown DoS/DDoS attacks in IoT networks using a hybrid learning model.
Internet Things
Xuan-Ha Nguyen, Kim-Hung Le
2023 — conf
The Impact of Rotational Invariance on Tree- and Deep Learning-Based Network Intrusion Detection System.
RIVF
Dat-Thinh Nguyen, Xuan-Ha Nguyen, Kim-Hung Le
2023 J jnl
The robust scheme for intrusion detection system in Internet of Things.
Internet Things
Dat-Thinh Nguyen, Kim-Hung Le
2023 — conf
Towards Generating Semi-Synthetic Datasets for Network Intrusion Detection System.
ICOIN
Ngoc-Truong Nguyen, Ton-Nhan Le, Khanh-Hoi Le Minh, Kim-Hung Le
2023 J jnl
Towards sustainable agriculture: A lightweight hybrid model and cloud-based collection of datasets for efficient leaf disease detection.
Future Gener. Comput. Syst.
Huy-Tan Thai, Kim-Hung Le, Ngan Luu-Thuy Nguyen
2022 — conf
A Real-time Border Surveillance System using Deep Learning and Edge Computing.
RIVF
Dang-Khoa Luong-Huu, Tan-An Ngo, Huy-Tan Thai, Kim-Hung Le
2022 C conf
A lightweight Machine-learning based Wireless Link Estimation for IoT devices.
APCC
Khanh-Hoi Le Minh, Kim-Hung Le, Quan Le Trung
2022 — conf
Enhancing Explainability of Machine Learning-based Intrusion Detection Systems.
RIVF
Thi-Ngoc-Phuc Ho, Thuy-Linh Nguyen, Xuan-Ha Nguyen, Kim-Hung Le
2022 C conf
Preventing Adversarial Attacks Against Deep Learning-Based Intrusion Detection System.
ISPEC
Xuan-Ha Nguyen, Xuan-Duong Nguyen, Kim-Hung Le
2022 J jnl
Realguard: A Lightweight Network Intrusion Detection System for IoT Gateways.
Sensors
Xuan-Ha Nguyen, Xuan-Duong Nguyen, Hoang-Hai Huynh, Kim-Hung Le
2022 — conf
Towards an Attention-Based Threat Detection System for IoT Networks.
FDSE (CCIS Volume)
Thanh-Nhan Nguyen, Khanh-Mai Dang, Anh-Duy Tran, Kim-Hung Le
2021 — conf
AirGen: GAN-based synthetic data generator for air monitoring in Smart City.
RTSI
Khanh-Hoi Le Minh, Kim-Hung Le
2020 J jnl
User-Driven Adaptive Sampling for Massive Internet of Things.
IEEE Access
Kim-Hung Le, Quan Le Trung
2020 A* conf
User-driven Error Detection for Time Series with Events.
ICDE
Kim-Hung Le, Paolo Papotti
2019 — conf
WoT-AD: A Descriptive Language for Group of Things in Massive IoT.
WF-IoT
Kim-Hung Le, Soumya Kanti Datta, Christian Bonnet, François Hamon
2017 B conf
A scalable IoT framework to design logical data flow using virtual sensor.
WiMob
Kim-Hung Le, Soumya Kanti Datta, Christian Bonnet, François Hamon, Alexandre Boudonne
2017 — conf
An industrial IoT framework to simplify connection process using system-generated connector.
RTSI
Kim-Hung Le, Soumya Kanti Datta, Christian Bonnet, François Hamon, Alexandre Boudonne