| Enabling intelligence in fog computing to achieve energy and latency reduction QD La, MV Ngo, TQ Dinh, TQS Quek, H Shin Digital Communications and Networks 5 (1), 3-9, 2019 | 202 | 2019 |
| Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing MV Ngo, H Chaouchi, T Luo, TQS Quek AAAI Workshop on Artificial Intelligence of Things (AIoT), 2020 | 40* | 2020 |
| Coordinated container migration and base station handover in mobile edge computing MV Ngo, T Luo, HT Hoang, TQS Ouek GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 31 | 2020 |
| Dense deployment of BLE-based body area networks: A coexistence study QD La, D Nguyen-Nam, MV Ngo, HT Hoang, TQS Quek IEEE Transactions on Green Communications and Networking 2 (4), 972-981, 2018 | 25 | 2018 |
| Contextual-bandit anomaly detection for IoT data in distributed hierarchical edge computing MV Ngo, T Luo, H Chaouchi, TQS Quek 2020 IEEE 40th International Conference on Distributed Computing Systems …, 2020 | 20 | 2020 |
| Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach MV Ngo, T Luo, TQS Quek ACM Transactions on Internet of Things 3 (1), 1-23, 2021 | 19 | 2021 |
| Long-Short History of Gradients Is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning A Gupta, T Luo, MV Ngo, SK Das Computer Security–ESORICS 2022: 27th European Symposium on Research in …, 2022 | 16 | 2022 |
| User behavior driven mac scheduling for body sensor networks: A cross-layer approach MV Ngo, QD La, D Leong, TQS Quek, H Shin IEEE Sensors Journal 19 (17), 7755-7765, 2019 | 13 | 2019 |
| TSI-GAN: Unsupervised Time Series Anomaly Detection Using Convolutional Cycle-Consistent Generative Adversarial Networks SS Saravanan, T Luo, M Van Ngo Pacific-Asia Conference on Knowledge Discovery and Data Mining, 39-54, 2023 | 10 | 2023 |
| Coexistence evaluation of densely deployed BLE-based body area networks QD La, D Nguyen-Nam, M Van Ngo, TQS Quek GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017 | 10 | 2017 |
| User behavior driven MAC scheduling for body sensor networks MV Ngo, QD La, D Leong, TQS Quek 2017 IEEE 19th International Conference on e-Health Networking, Applications …, 2017 | 9 | 2017 |
| RAN Intelligent Controller (RIC): From open-source implementation to real-world validation MV Ngo, HM Yoo, YH Pua, TL Le, XL Liang, B Chen, EK Hong, TQS Quek ICT Express, 2024 | 8 | 2024 |
| Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning MV Ngo, T Truong-Huu, D Rabadi, JY Loo, SG Teo International Conference on Applied Cryptography and Network Security, 503-531, 2023 | 6 | 2023 |
| Applying queuing theory to evaluate performance of cluster wireless sensor networks N Van Mao, VQ Son 2015 International Conference on Advanced Technologies for Communications …, 2015 | 4 | 2015 |
| A Novel Feature Vector for AI-Assisted Windows Malware Detection LQ Yau, YT Lam, A Lokesh, P Gupta, J Lim, IS Singh, JY Loo, MV Ngo, ... 2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf …, 2023 | 1 | 2023 |
| INA-Infra: An Open and Extensible Infrastructure for Intent-driven Network Automation Research NBL Tran, TV Ngo, MV Ngo, B Chen, J Park, TQS Quek arXiv preprint arXiv:2410.09765, 2024 | | 2024 |
| Consistent and Repeatable Testing of O-RAN Distributed Unit (O-DU) across Continents TV Ngo, MV Ngo, B Chen, G Gemmi, E Baena, M Polese, T Melodia, ... 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), 1-5, 2024 | | 2024 |
| Consistent and Repeatable Testing of mMIMO O-RU across labs: A Japan-Singapore Experience TT Nguyen, MV Ngo, B Chen, M Kuchitsu, S Wai, S Kawai, K Suzuki, ... 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), 1-5, 2024 | | 2024 |
| AI-Driven rApps for Reducing Radio Access Network Interference in Real-World 5G Deployment MV Ngo, YH Pua, TL Le, B Chen, T Quek IEEE INFOCOM 2024-IEEE Conference on Computer Communications Workshops …, 2024 | | 2024 |
| Digital Communications and Networks QD La, MV Ngo, TQ Dinh, TQS Quek, H Shin | | |
Tony Q.S. QuekFull Professor and ISTD Pillar Head, SUTDVerified email at ieee.org