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ORCIDMao V. Ngo
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2020 – today
- 2024
[j4]Mao V. Ngo
, Nguyen-Bao-Long Tran, Hyun-Min Yoo, Yong-Hao Pua, Thanh-Long Le, Xian-Loong Liang, Binbin Chen, Een-Kee Hong, Tony Q. S. Quek:
RAN Intelligent Controller (RIC): From open-source implementation to real-world validation. ICT Express 10(3): 680-691 (2024)- [c9]Nguyen-Bao-Long Tran, Mao V. Ngo, Yong-Hao Pua, Thanh-Long Le, Binbin Chen, Tony Q. S. Quek:
AI-Driven rApps for Reducing Radio Access Network Interference in Real-World 5G Deployment. INFOCOM (Workshops) 2024: 1-2 - [i9]Tuan V. Ngo, Mao V. Ngo, Binbin Chen, Gabriele Gemmi, Eduardo Baena, Michele Polese, Tommaso Melodia, William Chien, Tony Q. S. Quek:
Consistent and Repeatable Testing of O-RAN Distributed Unit (O-DU) across Continents. CoRR abs/2410.04416 (2024) - [i8]Thanh-Tam Nguyen, Mao V. Ngo, Binbin Chen, Mitsuhiro Kuchitsu, Serena Wai, Seitaro Kawai, Kenya Suzuki, Eng Wei Koo, Tony Q. S. Quek:
Consistent and Repeatable Testing of mMIMO O-RU across labs: A Japan-Singapore Experience. CoRR abs/2410.04427 (2024) - 2023
- [c8]Mao V. Ngo, Tram Truong-Huu, Dima Rabadi, Jia Yi Loo, Sin G. Teo:
Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning. ACNS (1) 2023: 503-531 - [c7]Le Qi Yau, Yik Ting Lam, Ashwin Lokesh, Prannaya Gupta, Justin Lim, Ishneet Sukhvinder Singh, Jia Yi Loo, Mao V. Ngo, Sin G. Teo, Tram Truong-Huu:
A Novel Feature Vector for AI-Assisted Windows Malware Detection. DASC/PiCom/CBDCom/CyberSciTech 2023: 355-361 - [c6]Shyam Sundar Saravanan, Tie Luo, Mao Van Ngo:
TSI-GAN: Unsupervised Time Series Anomaly Detection Using Convolutional Cycle-Consistent Generative Adversarial Networks. PAKDD (1) 2023: 39-54 - [i7]Shyam Sundar Saravanan, Tie Luo, Mao Van Ngo:
TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial Networks. CoRR abs/2303.12952 (2023) - 2022
- [j3]Mao V. Ngo, Tie Luo, Tony Q. S. Quek:
Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach. ACM Trans. Internet Things 3(1): 4:1-4:23 (2022) - [c5]Ashish Gupta, Tie Luo, Mao V. Ngo, Sajal K. Das:
Long-Short History of Gradients Is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning. ESORICS (3) 2022: 445-465 - [i6]Ashish Gupta, Tie Luo, Mao V. Ngo, Sajal K. Das:
Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning. CoRR abs/2208.10273 (2022) - [i5]Mao V. Ngo, Tram Truong-Huu, Dima Rabadi, Jia Yi Loo, Sin G. Teo:
Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning. CoRR abs/2211.13860 (2022) - 2021
- [i4]Mao V. Ngo, Tie Luo, Tony Q. S. Quek:
Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach. CoRR abs/2108.03872 (2021) - 2020
- [c4]Mao V. Ngo, Tie Luo, Hieu T. Hoang, Tony Q. S. Quek:
Coordinated Container Migration and Base Station Handover in Mobile Edge Computing. GLOBECOM 2020: 1-6 - [c3]Mao V. Ngo, Tie Luo, Hakima Chaouchi, Tony Q. S. Quek:
Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing. ICDCS 2020: 1227-1230 - [i3]Mao V. Ngo, Hakima Chaouchi, Tie Luo, Tony Q. S. Quek:
Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing. CoRR abs/2001.03314 (2020) - [i2]Mao V. Ngo, Tie Luo, Hakima Chaouchi, Tony Q. S. Quek:
Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing. CoRR abs/2004.06896 (2020) - [i1]Mao V. Ngo, Tie Luo, Hieu T. Hoang, Tony Q. S. Quek:
Coordinated Container Migration and Base Station Handover in Mobile Edge Computing. CoRR abs/2009.05682 (2020)
2010 – 2019
- 2019
- [j2]Quang Duy La, Mao V. Ngo, Thinh Quang Dinh, Tony Q. S. Quek, Hyundong Shin:
Enabling intelligence in fog computing to achieve energy and latency reduction. Digit. Commun. Networks 5(1): 3-9 (2019) - 2018
- [j1]Quang Duy La, Duong Nguyen-Nam, Mao V. Ngo, Hieu T. Hoang, Tony Q. S. Quek:
Dense Deployment of BLE-Based Body Area Networks: A Coexistence Study. IEEE Trans. Green Commun. Netw. 2(4): 972-981 (2018) - 2017
- [c2]Quang Duy La, Duong Nguyen-Nam, Mao Van Ngo, Tony Q. S. Quek:
Coexistence Evaluation of Densely Deployed BLE-Based Body Area Networks. GLOBECOM 2017: 1-6 - [c1]Mao V. Ngo, Quang Duy La, Derek Leong, Tony Q. S. Quek:
User behavior driven MAC scheduling for body sensor networks. Healthcom 2017: 1-6
Coauthor Index
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