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Wu Xianjing

戴眼镜的年轻人描述已自动生成

Title: Lecturer

Office: New Administrative Center Room 214

Email: xianjingwu@stu.edu.cn

Research Interests

Vehicular networks, intelligent transportation, smart city, Internet of Things (IoT), mobile edge computing

Educational and Working Experience

  1. Jul. 2024 – Present: Lecturer, Department of Electronic Engineering, Shantou University

  2. Sep. 2021 – Aug. 2024: Joint Ph.D. Student, Department of Computer Science, City University of Hong Kong

  3. Sep. 2018 – Jun. 2024: Ph.D. in Computer Science and Technology, Tongji University

  4. Sep. 2014 – Jun. 2018: Bachelor of Engineering in Electronic Information Science and Technology, North University of China

Academic Publications

Journal Papers

  1. Wu X, Liu Z, Li Z, et al. Greta: Towards a General Roadside Unit Deployment Framework. IEEE Transactions on Mobile Computing, 2023. (CAS Zone 2 TOP, JCR Q1, CCF A)

  2. Wu X, Zhao S, Deng H. Joint task assignment and resource allocation in VFC based on mobility prediction information. Computer Communications, 2023. (CAS Zone 3, JCR Q1, CCF C)

Conference Papers

  1. Wu X, Zhao S, Zhang R, et al. Mobility prediction-based joint task assignment and resource allocation in vehicular fog computing. In 2020 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2020. (CCF C)

Academic Services

He serves as a peer reviewer for prestigious journals including IEEE Transactions on Mobile Computing (CCF A), and top conferences such as ACM MobiCom (CCF A), IEEE INFOCOM (CCF A), ACM SenSys (CCF B), IEEE/ACM IWQOS (CCF B), and ACM EWSN (CCF C).

Research Projects

  1. Scientific Research Startup Fund of Shantou University: Research on Infrastructure Efficiency Optimization of Vehicular Networks for Edge Intelligence, 2024–2027, Principal Investigator.

  2. National Key Research and Development Program of China: Key Technologies and Applications of Intelligent Urban Infrastructure Management and Networking, 2019–2024, Participant.

  3. National Key Research and Development Program of China: Key Technologies and Applications of Resilient Urban Intelligent Planning and Simulation, 2020–2024, Participant.

  4. Shanghai Science and Technology Innovation Action Plan AI Special Project: Autonomous Continuous Learning Algorithms for Urban Traffic Situation Awareness and Risk Decision-Making, 2022, Participant.

Courses Taught

Undergraduate: Electrical and Electronic Engineering (Autumn 2024–2025 semester)

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