Mao V. Ngo

According to our database, Mao V. Ngo authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RAN Intelligent Controller (RIC): From open-source implementation to real-world validation.

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

ICT Express, 2024

Consistent and Repeatable Testing of mMIMO O-RU across labs: A Japan-Singapore Experience.

Thanh-Tam Nguyen, Mao V. Ngo, Binbin Chen, Mitsuhiro Kuchitsu, Serena Wai, Seitaro Kawai, Kenya Suzuki, Eng Wei Koo, Tony Q. S. Quek

CoRR, 2024

Consistent and Repeatable Testing of O-RAN Distributed Unit (O-DU) across Continents.

Tuan V. Ngo, Mao V. Ngo, Binbin Chen, Gabriele Gemmi, Eduardo Baena, Michele Polese, Tommaso Melodia, William Chien, Tony Q. S. Quek

CoRR, 2024

AI-Driven rApps for Reducing Radio Access Network Interference in Real-World 5G Deployment.

Nguyen-Bao-Long Tran, Mao V. Ngo, Yong-Hao Pua, Thanh-Long Le, Binbin Chen, Tony Q. S. Quek

Proceedings of the IEEE INFOCOM 2024, 2024

2023

TSI-GAN: Unsupervised Time Series Anomaly Detection Using Convolutional Cycle-Consistent Generative Adversarial Networks.

Shyam Sundar Saravanan, Tie Luo, Mao Van Ngo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

A Novel Feature Vector for AI-Assisted Windows Malware Detection.

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

Proceedings of the IEEE Intl Conf on Dependable, 2023

Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning.

Mao V. Ngo, Tram Truong-Huu, Dima Rabadi, Jia Yi Loo, Sin G. Teo

Proceedings of the Applied Cryptography and Network Security, 2023

2022

Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach.

Mao V. Ngo, Tie Luo, Tony Q. S. Quek

ACM Trans. Internet Things, 2022

Long-Short History of Gradients Is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning.

Ashish Gupta, Tie Luo, Mao V. Ngo, Sajal K. Das

Proceedings of the Computer Security - ESORICS 2022, 2022

2020

Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing.

Mao V. Ngo, Hakima Chaouchi, Tie Luo, Tony Q. S. Quek

CoRR, 2020

Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing.

Mao V. Ngo, Tie Luo, Hakima Chaouchi, Tony Q. S. Quek

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

Coordinated Container Migration and Base Station Handover in Mobile Edge Computing.

Mao V. Ngo, Tie Luo, Hieu T. Hoang, Tony Q. S. Quek

Proceedings of the IEEE Global Communications Conference, 2020

2019

Enabling intelligence in fog computing to achieve energy and latency reduction.

Quang Duy La, Mao V. Ngo, Thinh Quang Dinh, Tony Q. S. Quek, Hyundong Shin

Digit. Commun. Networks, 2019

2018

Dense Deployment of BLE-Based Body Area Networks: A Coexistence Study.

Quang Duy La, Duong Nguyen-Nam, Mao V. Ngo, Hieu T. Hoang, Tony Q. S. Quek

IEEE Trans. Green Commun. Netw., 2018

2017

User behavior driven MAC scheduling for body sensor networks.

Mao V. Ngo, Quang Duy La, Derek Leong, Tony Q. S. Quek

Proceedings of the 19th IEEE International Conference on e-Health Networking, 2017

Coexistence Evaluation of Densely Deployed BLE-Based Body Area Networks.

Quang Duy La, Duong Nguyen-Nam, Mao Van Ngo, Tony Q. S. Quek

Proceedings of the 2017 IEEE Global Communications Conference, 2017