Lin Gao (高林)

alt text  Lin Gao

Professor
School of Electronics and Information Engineering
Harbin Institute of Technology, Shenzhen, China

IEEE Senior Member (2016)
IEEE ComSoc Asia-Pacific Outstanding Young Researcher (2016)

Email: gaol[at]hit.edu.cn  or  gaolin021[at]hotmail.com

My Profiles: [IEEEXplore], [Google Scholar], [CV]

Homepage: http://faculty.hitsz.edu.cn/gaolin

Lin Gao (S'08-M'10-SM'16) is a Full Professor at Harbin Institute of Technology, Shenzhen, China. He received Ph.D. degree in Electronic Engineering (Advisors: Prof. Xinbing Wang and Prof. Youyun Xu) from Shanghai Jiao Tong University (SJTU) in 2010, and worked as a Postdoc Research Fellow (Advisor: Prof. Jianwei Huang) in the Network Communications and Economics Lab (NCEL) at The Chinese University of Hong Kong (CUHK) during 2010-2015. He received the IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award in 2016. His main research interests are in the interdisciplinary area between game theory and AI, with applications in wireless communications, mobile computing, and networking.

Openings: We have openings for both Postdoc researchers and PhD students in the interdisciplinary research of mobile computing, artificial intelligence, and game theory. Research topics include but are not limited to Artificial General Intelligence (AGI), Large Language Models (LLM), Mobile Edge Computing (MEC), Deep Reinforcement Learning (DRL), Federated Learning (FL), and Game Theory.

Recent News

  • New [2025.02] The paper "Incentive Mechanism Design for Federated Learning with Dynamic Network Pricing" is accepted by IEEE Transactions on Mobile Computing (TMC).
  • New [2024.12] The paper "Joint Optimization of Model Inferencing and Task Offloading for MEC-Empowered Large Vision Model Services" is accepted by IEEE INFOCOM 2025.
  • New [2024.11] Two papers "A Multi-Agent Deep Reinforcement Learning Approach for Multi-UAV Cooperative Search in Multi-layered Aerial Computing Networks" and "Cloud-Edge-End Collaborative Task Offloading in Vehicular Edge Networks: A Multilayer Deep Reinforcement Learning Approach" are accepted by IEEE Internet of Things Journal (IOT).
  • [2024.05] The paper "Economic Analysis of Edge Caching Enabled Mobile Internet Ecosystem" is accepted by IEEE Transactions on Mobile Computing (TMC).
  • More News ...