Yuyi MAO
Scholar

Yuyi MAO

Google Scholar ID: l8EFqLsAAAAJ
Macau University of Science and Technology
Wireless CommunicationsWireless Artificial IntelligenceEdge AIFederated Learning
Citations & Impact
All-time
Citations
9,836
 
H-index
22
 
i10-index
31
 
Publications
20
 
Co-authors
40
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Google Scholar Citations: 12,442 (as of October 7, 2025); ESI Highly Cited Papers: 5; Editorial Board Member of IEEE Transactions on Mobile Computing, IEEE Wireless Communications Letters, EURASIP Journal on Wireless Communications and Networking, and HKIE Transactions.
Research Experience
  • From 2020 to January 2025, served as a Research Assistant Professor at the Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University (PolyU); from 2019 to 2020, served as a Senior Researcher at the Theory Lab, 2012 Labs, Huawei Tech. Investment Co. Ltd.; from 2017 to 2019, served as a Lead Engineer at the Hong Kong Applied Science and Technology Research Institute (ASTRI).
Education
  • Received the B.Eng. degree in Information and Communication Engineering from Zhejiang University (ZJU), Hangzhou, China, in 2013; received the Ph.D. degree in Electronic and Computer Engineering from The Hong Kong University of Science and Technology (HKUST), Hong Kong, in 2017; participated in the 1st IEEE ComSoc Summer School held in Trento, Italy, in July 2015.
Background
  • Research Interests: Wireless Communications and Networking, Mobile Edge Computing and Edge AI, Integrated Sensing, Communication, and Computation, Federated Learning and Distributed Optimization, Internet-of-Things and Smart City. Brief Introduction: Currently an Assistant Professor at the School of Computer Science and Engineering, Macau University of Science and Technology (MUST).
Miscellany
  • Looking for self-motivated postgraduate students and visiting scholars to work on related areas of Federated Learning, Edge AI, Task-oriented / Semantic Communications, Wireless Sensing (Algorithm and Prototype Developments) and Machine Learning for Wireless Communications. Also welcoming undergraduate students from MUST's Innovation Engineering College to join the research group.