Mao V. Ngo

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 17

Top Topics

Sensor Networks

Contextual Bandit

Top Venues

INFOCOM (Workshops)

Publications

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) (2024)
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)
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)
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)
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 (2022)
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 (2022)
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)
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) (2022)
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 (2021)
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)
Mao V. Ngo, Tie Luo, Hieu T. Hoang, Tony Q. S. Quek
Coordinated Container Migration and Base Station Handover in Mobile Edge Computing. CoRR (2020)
Mao V. Ngo, Tie Luo, Hakima Chaouchi, Tony Q. S. Quek
Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing. CoRR (2020)
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)
Mao V. Ngo, Hakima Chaouchi, Tie Luo, Tony Q. S. Quek
Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing. CoRR (2020)
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) (2019)
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) (2018)
Mao V. Ngo, Quang Duy La, Derek Leong, Tony Q. S. Quek
User behavior driven MAC scheduling for body sensor networks. Healthcom (2017)