Mao V. Ngo

26 papers A 1B 1C 1Journal 16Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
LLM-Based Net Analyzer rApp for Explainable and Safe Automation in O-RAN Non-RT RIC.
CoRR
Tuan V. Ngo, Mao V. Ngo, Binbin Chen, Tony Q. S. Quek, Tejaswita Kumari, Maziar M. Nekovee
2026 J jnl
SLA-Aware Distributed LLM Inference Across Device-RAN-Cloud.
CoRR
Hariz Yet, Nguyen Thanh Tam, Mao V. Ngo, Lim Yi Shen, Lin Wei, Jihong Park, Binbin Chen, Tony Q. S. Quek
2025 J jnl
Digital Twins Meet Open RAN: Case Studies, Implementation, and Opportunities.
IEEE Commun. Mag.
Longyu Zhou, Mao V. Ngo, Binbin Chen, Tony Q. S. Quek
2024 — conf
AI-Driven rApps for Reducing Radio Access Network Interference in Real-World 5G Deployment.
INFOCOM (Workshops)
Nguyen-Bao-Long Tran, Mao V. Ngo, Yong-Hao Pua, Thanh-Long Le, Binbin Chen, Tony Q. S. Quek
2024 — conf
Consistent and Repeatable Testing of O-RAN Distributed Unit (O-DU) across Continents.
VTC Fall
Tuan V. Ngo, Mao V. Ngo, Binbin Chen, Gabriele Gemmi, Eduardo Baena, Michele Polese, Tommaso Melodia, William Chien, Tony Q. S. Quek
2024 J jnl
Consistent and Repeatable Testing of O-RAN Distributed Unit (O-DU) across Continents.
CoRR
Tuan V. Ngo, Mao V. Ngo, Binbin Chen, Gabriele Gemmi, Eduardo Baena, Michele Polese, Tommaso Melodia, William Chien, Tony Q. S. Quek
2024 — conf
Consistent and Repeatable Testing of mMIMO O-RU across labs: A Japan-Singapore Experience.
VTC Fall
Thanh-Tam Nguyen, Mao V. Ngo, Binbin Chen, Mitsuhiro Kuchitsu, Serena Wai, Seitaro Kawai, Kenya Suzuki, Eng Wei Koo, Tony Q. S. Quek
2024 J jnl
Consistent and Repeatable Testing of mMIMO O-RU across labs: A Japan-Singapore Experience.
CoRR
Thanh-Tam Nguyen, Mao V. Ngo, Binbin Chen, Mitsuhiro Kuchitsu, Serena Wai, Seitaro Kawai, Kenya Suzuki, Eng Wei Koo, Tony Q. S. Quek
2024 — conf
INA-Infra: An Open and Extensible Infrastructure for Intent-driven Network Automation Research.
GLOBECOM (Workshops)
Nguyen-Bao-Long Tran, Tuan V. Ngo, Mao V. Ngo, Binbin Chen, Jihong Park, Tony Q. S. Quek
2024 J jnl
INA-Infra: An Open and Extensible Infrastructure for Intent-driven Network Automation Research.
CoRR
Nguyen-Bao-Long Tran, Tuan V. Ngo, Mao V. Ngo, Binbin Chen, Jihong Park, Tony Q. S. Quek
2024 J jnl
RAN Intelligent Controller (RIC): From open-source implementation to real-world validation.
ICT Express
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
2023 — conf
A Novel Feature Vector for AI-Assisted Windows Malware Detection.
DASC/PiCom/CBDCom/CyberSciTech
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
2023 — conf
Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning.
ACNS (1)
Mao V. Ngo, Tram Truong Huu, Dima Rabadi, Jia Yi Loo, Sin G. Teo
2022 J jnl
Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach.
ACM Trans. Internet Things
Mao V. Ngo, Tie Luo, Tony Q. S. Quek
2022 J jnl
Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning.
CoRR
Mao V. Ngo, Tram Truong Huu, Dima Rabadi, Jia Yi Loo, Sin G. Teo
2022 — conf
Long-Short History of Gradients Is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning.
ESORICS (3)
Ashish Gupta, Tie Luo, Mao V. Ngo, Sajal K. Das
2022 J jnl
Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning.
CoRR
Ashish Gupta, Tie Luo, Mao V. Ngo, Sajal K. Das
2021 J jnl
Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach.
CoRR
Mao V. Ngo, Tie Luo, Tony Q. S. Quek
2020 J jnl
Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing.
CoRR
Mao V. Ngo, Hakima Chaouchi, Tie Luo, Tony Q. S. Quek
2020 A conf
Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing.
ICDCS
Mao V. Ngo, Tie Luo, Hakima Chaouchi, Tony Q. S. Quek
2020 J jnl
Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing.
CoRR
Mao V. Ngo, Tie Luo, Hakima Chaouchi, Tony Q. S. Quek
2020 B conf
Coordinated Container Migration and Base Station Handover in Mobile Edge Computing.
GLOBECOM
Mao V. Ngo, Tie Luo, Hieu T. Hoang, Tony Q. S. Quek
2020 J jnl
Coordinated Container Migration and Base Station Handover in Mobile Edge Computing.
CoRR
Mao V. Ngo, Tie Luo, Hieu T. Hoang, Tony Q. S. Quek
2019 J jnl
Enabling intelligence in fog computing to achieve energy and latency reduction.
Digit. Commun. Networks
Quang Duy La, Mao V. Ngo, Thinh Quang Dinh, Tony Q. S. Quek, Hyundong Shin
2018 J jnl
Dense Deployment of BLE-Based Body Area Networks: A Coexistence Study.
IEEE Trans. Green Commun. Netw.
Quang Duy La, Duong Nguyen-Nam, Mao V. Ngo, Hieu T. Hoang, Tony Q. S. Quek
2017 C conf
User behavior driven MAC scheduling for body sensor networks.
Healthcom
Mao V. Ngo, Quang Duy La, Derek Leong, Tony Q. S. Quek