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2020 – today

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2026
[j18]
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Xuan Chau Le, Kim Hung Le, Minh Quan Duong:
Model-Free Fast Integral Terminal Sliding Mode Control for Maximum Power Point Tracking With High-Order Disturbance Observer in WECSs. IEEE Access 14: 15311-15330 (2026)
[j17]
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Hoang-Trung Le-Pham, The-Phong Nguyen, Anh-Duy Tran, Kim-Hung Le:
MTAS: A temporal-aware multiview graph attention framework for early rumor detection on social media. Inf. Fusion 126: 103598 (2026)
2025
[j16]
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Ngoc-Truong Nguyen, Kim-Hung Le:
Beyond VirusTotal: A semantic approach to building reliable and up-to-date android malware datasets from threat reports. Array 28: 100583 (2025)
[j15]
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Huy-Tan Thai, Kim-Hung Le, Ngan Luu-Thuy Nguyen:
EF-CenterNet: An efficient anchor-free model for UAV-based banana leaf disease detection. Comput. Electron. Agric. 231: 109927 (2025)
[j14]
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Hoang-Hai Huynh, Xuan-Ha Nguyen, Xuan-Duong Nguyen, Kim-Hung Le:
Bigsids: an efficient SDN-based network intrusion detection systems for big data environments. Clust. Comput. 28(6): 395 (2025)
[j13]
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Nhu-Y. Tran-Van, Kim-Hung Le:
A multimodal skin lesion classification through cross-attention fusion and collaborative edge computing. Comput. Medical Imaging Graph. 124: 102588 (2025)
[j12]
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Hoai-Chau Tran, Anh-Duy Tran, Kim-Hung Le:
DetectVul: A statement-level code vulnerability detection for Python. Future Gener. Comput. Syst. 163: 107504 (2025)
[j11]
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Van-Linh Truong-Dang, Huy-Tan Thai, Kim-Hung Le:
TinyResViT: A lightweight hybrid deep learning model for on-device corn leaf disease detection. Internet Things 30: 101495 (2025)
[j10]
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Xuan-Ha Nguyen, Kim-Hung Le:
nNFST: A single-model approach for multiclass novelty detection in network intrusion detection systems. J. Netw. Comput. Appl. 236: 104128 (2025)
[j9]
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Nhu-Y. Tran-Van, Kim-Hung Le:
CoFANN: A collaborative framework for accelerating DNN inference in drone-based agricultural monitoring systems. Simul. Model. Pract. Theory 144: 103176 (2025)
[c21]
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Dat-Thinh Nguyen, Kim-Hung Le, Nhien-An Le-Khac:
Stabilizing Data-Free Model Extraction. ECAI 2025: 1905-1912
[c20]
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Huy-Cuong Nguyen, Hoang-Trung Le-Pham, Xuan-Ha Nguyen, Khanh-Hoi Le Minh, Kim-Hung Le:
A Dual-Layer Defense Mechanism for Dropout Attack in Wireless Link Estimation. ICCCI (2) 2025: 169-183
[i2]
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  - journals/corr/abs-2509-11159
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Dat-Thinh Nguyen, Kim-Hung Le, Nhien-An Le-Khac:
Stabilizing Data-Free Model Extraction. CoRR abs/2509.11159 (2025)
2024
[c19]
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Qui Cao, Phuc Dao-Hoang, Dat-Thinh Nguyen, Xuan-Ha Nguyen, Kim-Hung Le:
BERT-Enhanced DGA Botnet Detection: A Comparative Analysis of Machine Learning and Deep Learning Models. ICCAIS 2024: 1-6
[c18]
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Minh-Hao Ho, Nhu-Y. Tran-Van, Kim-Hung Le:
A Multi-Input Bi-LSTM Autoencoder Model with Wavelet Transform for Air Quality Prediction. MAPR 2024: 1-6
[c17]
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Hoang-Cong-Thanh Nguyen, Xuan-Ha Nguyen, Kim-Hung Le:
An Automated Benchmarking Framework for Anomaly-based Intrusion Detection Systems. MAPR 2024: 1-6
[i1]
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  - journals/corr/abs-2411-04475
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Trong-Nhan Phan, Hoang-Hai Nguyen, Thi-Thu-Hien Ha, Huy-Tan Thai, Kim-Hung Le:
Deep Learning Models for UAV-Assisted Bridge Inspection: A YOLO Benchmark Analysis. CoRR abs/2411.04475 (2024)
2023
[j8]
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Huy-Tan Thai, Kim-Hung Le, Ngan Luu-Thuy Nguyen:
FormerLeaf: An efficient vision transformer for Cassava Leaf Disease detection. Comput. Electron. Agric. 204: 107518 (2023)
[j7]
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Huy-Tan Thai, Kim-Hung Le, Ngan Luu-Thuy Nguyen:
Towards sustainable agriculture: A lightweight hybrid model and cloud-based collection of datasets for efficient leaf disease detection. Future Gener. Comput. Syst. 148: 488-500 (2023)
[j6]
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Kim-Hung Le, Khanh-Hoi Le Minh, Huy-Tan Thai:
BrainyEdge: An AI-enabled framework for IoT edge computing. ICT Express 9(2): 211-221 (2023)
[j5]
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Xuan-Ha Nguyen, Kim-Hung Le:
Robust detection of unknown DoS/DDoS attacks in IoT networks using a hybrid learning model. Internet Things 23: 100851 (2023)
[j4]
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Dat-Thinh Nguyen, Kim-Hung Le:
The robust scheme for intrusion detection system in Internet of Things. Internet Things 24: 100999 (2023)
[c16]
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Ngoc-Truong Nguyen, Ton-Nhan Le, Khanh-Hoi Le Minh, Kim-Hung Le:
Towards Generating Semi-Synthetic Datasets for Network Intrusion Detection System. ICOIN 2023: 62-66
[c15]
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Dat-Thinh Nguyen, Xuan-Ha Nguyen, Kim-Hung Le:
The Impact of Rotational Invariance on Tree- and Deep Learning-Based Network Intrusion Detection System. RIVF 2023: 509-514
[c14]
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Xuan-Ha Nguyen, Dat-Thinh Nguyen, Kim-Hung Le:
Benchmarking SVM Variants for Unsupervised Intrusion Detection System. RIVF 2023: 521-526
2022
[j3]
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Xuan-Ha Nguyen, Xuan-Duong Nguyen, Hoang-Hai Huynh, Kim-Hung Le:
Realguard: A Lightweight Network Intrusion Detection System for IoT Gateways. Sensors 22(2): 432 (2022)
[c13]
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Khanh-Hoi Le Minh, Kim-Hung Le, Quan Le Trung:
A lightweight Machine-learning based Wireless Link Estimation for IoT devices. APCC 2022: 526-531
[c12]
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Thanh-Nhan Nguyen, Khanh-Mai Dang, Anh-Duy Tran, Kim-Hung Le:
Towards an Attention-Based Threat Detection System for IoT Networks. FDSE (CCIS Volume) 2022: 301-315
[c11]
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Xuan-Ha Nguyen, Xuan-Duong Nguyen, Kim-Hung Le:
Preventing Adversarial Attacks Against Deep Learning-Based Intrusion Detection System. ISPEC 2022: 382-396
[c10]
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Dang-Khoa Luong-Huu, Tan-An Ngo, Huy-Tan Thai, Kim-Hung Le:
A Real-time Border Surveillance System using Deep Learning and Edge Computing. RIVF 2022: 1-6
[c9]
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Thi-Ngoc-Phuc Ho, Thuy-Linh Nguyen, Xuan-Ha Nguyen, Kim-Hung Le:
Enhancing Explainability of Machine Learning-based Intrusion Detection Systems. RIVF 2022: 606-611
2021
[j2]
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  - journals/complexity/NguyenLPD21
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Thang Trung Nguyen, Kim Hung Le, Tan Minh Phan, Minh Quan Duong:
An Effective Reactive Power Compensation Method and a Modern Metaheuristic Algorithm for Loss Reduction in Distribution Power Networks. Complex. 2021: 8346738:1-8346738:21 (2021)
[c8]
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Huu-Vinh Nguyen, Hung Nguyen, Kim Hung Le, Minh Tien Cao, Qui-Thoi Le, Ngoc-Tuan Tran:
Application Firefly Algorithm for Improvement STATCOM Controller to Enhance the Stability in a Grid Connected to Wind Power. ICSSE 2021: 1-6
[c7]
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Khanh-Hoi Le Minh, Kim-Hung Le:
AirGen: GAN-based synthetic data generator for air monitoring in Smart City. RTSI 2021: 317-322
2020
[j1]
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Kim-Hung Le, Quan Le Trung:
User-Driven Adaptive Sampling for Massive Internet of Things. IEEE Access 8: 135798-135810 (2020)
[c6]
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Kim-Hung Le, Paolo Papotti:
User-driven Error Detection for Time Series with Events. ICDE 2020: 745-757

2010 – 2019

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2019
[c5]
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Kim-Hung Le, Soumya Kanti Datta, Christian Bonnet, François Hamon:
WoT-AD: A Descriptive Language for Group of Things in Massive IoT. WF-IoT 2019: 257-262
2018
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Minh Quan Duong, Kim Hung Le, Francesco Grimaccia, Sonia Leva, Marco Mussetta:
Modeling and Performance Evaluation of a Fuzzy Logic Controller for Buck-Boost DC/DC Converters. FUZZ-IEEE 2018: 1-7
2017
[c3]
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Kim-Hung Le, Soumya Kanti Datta, Christian Bonnet, François Hamon, Alexandre Boudonne:
An industrial IoT framework to simplify connection process using system-generated connector. RTSI 2017: 1-6
[c2]
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Kim-Hung Le, Soumya Kanti Datta, Christian Bonnet, François Hamon, Alexandre Boudonne:
A scalable IoT framework to design logical data flow using virtual sensor. WiMob 2017: 1-7
2016
[c1]
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Minh Quan Duong, Francesco Grimaccia, Sonia Leva, Marco Mussetta, Kim Hung Le:
A hybrid Fuzzy-PI cascade controller for transient stability improvement in DFIG wind generators. FUZZ-IEEE 2016: 1733-1739

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