JiayuanChen

JiayuanChen

PhD Candidate in Computer Science and Technology

Nanjing University of Aeronautics and Astronautics

Biography

I am currently a first-year PhD student in Computer Science and Technology at Nanjing University of Aeronautics and Astronautics (NUAA), China. I am fortunate to be advised by Prof. Yi at the SmilinNet (smart mobile innovative networking) research group. My research interests 👼🏻 include machine learning (e.g., reinforcement learning) and mechanism design with applications in resource management and decision making for various wireless networks and mobile services including: Edge and Fog Computing, Industrial IoT, Vehicular/UAV Systems and Human Digital Twin.

Interests
  • Reinforcement Learning
  • Human Digital Twin
  • Edge and Fog Computing
  • Vehicular/UAV Systems
  • Industrial IoT
Education
  • PhD in Computer Science and Technology, In Progress, 2023-Present

    Nanjing University of Aeronautics and Astronautics

  • MEng in Computer Technology, 2023

    Nanjing University of Aeronautics and Astronautics

Publications

Conference

(2023). A Triple Learner Based Energy Efficient Scheduling for Multi-UAV Assisted Mobile Edge Computing. In IEEE International Conference on Communications (ICC), Rome, Italy, 28 May - 01 June, 2023.

PDF

(2022). A Joint Optimization of Sensor Activation and Mobile Charging Scheduling in Industrial Wireless Rechargeable Sensor Networks. In IEEE International Conference on Communications (ICC), Seoul, Korea, May 16-20, 2022.

PDF Source Document

(0001). Edge Computing Enabled Real-Time Video Analysis via Adaptive Spatial-Temporal Semantic Filtering. (Under Review).

Publications

Journal

(2023). Joint Trajectory Planning, Application Placement and Energy Renewal for UAV-Assisted MEC: A Triple-Learner Based Approach. IEEE Internet of Things Journal, Early Access (SCI 1区).

PDF Source Document

(2022). Learning Aided Joint Sensor Activation and Mobile Charging Vehicle Scheduling for Energy-Efficient WRSN-Based Industrial IoT. IEEE Transactions on Vehicular Technology (SCI 2区 Top).

PDF Source Document

(0001). Differentially Private Federated Multi-Task Learning Framework for Enhancing Human-to-Virtual Connectivity in Human Digital Twin. (Under Review).

Publications

Survey/Magazine

(2023). Networking Architecture and Key Technologies for Human Digital Twin in Personalized Healthcare: A Comprehensive Survey. (Under Review).

PDF

(0001). Edge Computing Empowered Tactile Internet for Human Digital Twin: Visions and Case Study. (Under Review).

PDF

Publications

In Progress