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Mao V. Ngo

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

13

Venues

9

Active years

2017–2026

Best venue rank

A*

Where they publish

Papers

13 indexed papers, newest first.

YearVenueTitleAuthors
2026INFOCOMIn-RAN Spectrum Sensing on a 5G AI-RAN Testbed with Uplink Signal Isolation.Tuan V. Ngo, Thanh-Tam Nguyen, Mao V. Ngo, Binbin Chen, Tony Q. S. Quek
2026INFOCOMSLA-Aware Distributed LLM Inference Across Device-RAN-Cloud.Hariz Yet, Nguyen Thanh Tam, Mao V. Ngo, Lim Yi Shen, Lin Wei, Jihong Park, Binbin Chen, Tony Q. S. Quek
2026WiOptAssuring Service Level Agreements in Open Radio Access Networks: An End-to-End System Design.Yufan He, Tuan V. Ngo, Mao V. Ngo, Binbin Chen, Tony Q. S. Quek, Howard H. Yang
2024GLOBECOMINA-Infra: An Open and Extensible Infrastructure for Intent-driven Network Automation Research.Nguyen-Bao-Long Tran, Tuan V. Ngo, Mao V. Ngo, Binbin Chen, Jihong Park, Tony Q. S. Quek
2024INFOCOMAI-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
2024VTCConsistent 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
2024VTCConsistent 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
2023ACNSFast 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
2023DASCA 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
2022ESORICSLong-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
2020GLOBECOMCoordinated Container Migration and Base Station Handover in Mobile Edge Computing.Mao V. Ngo, Tie Luo, Hieu T. Hoang, Tony Q. S. Quek
2020ICDCSContextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing.Mao V. Ngo, Tie Luo, Hakima Chaouchi, Tony Q. S. Quek
2017HealthComUser behavior driven MAC scheduling for body sensor networks.Mao V. Ngo, Quang Duy La, Derek Leong, Tony Q. S. Quek