Run Liu
Research Center of Ubiquitous Sensor Networks,
University of Chinese Academy of Sciences

I received my B.E. degree in the Internet of Things Engineering at the School of Computer Science and Engineering, Central South University (CSU), China, in 2022. I’m currently pursuing the master’s degree in Computer Applied Technology at the School of Artificial Intelligence, Research Center of Ubiquitous Sensor Networks, University of Chinese Academy of Sciences (UCAS). My research interests include Internet of Things, Wireless Networks, Wireless Communication, Edge Computing and Deep Reinforcement Learning.

Welcome to contact me by email: liurun22@mails.ucas.ac.cn

Education

• M.E. in Computer Applied Technology, University of Chinese Academy of Sciences, 2022-2025.
  (Supervisor: Prof. Baoxian Zhang and Prof. Zheng Yao)
• B.E. in Internet of Things Engineering, Central South University, 2018-2022.
  (Supervisor: Prof. Anfeng Liu)

Selected Publications

# co-first authors, * corresponding author

Early Access

1. [IEEE IoT-J] Run Liu, Mande Xie^*, Anfeng Liu^*, Houbing Song.
   “Joint Optimization Risk Factor and Energy Consumption in IoT networks with TinyML-enabled Internet of UAVs.”
   IEEE Internet of Things Journal. Accepted.
   DOI: 10.1109/JIOT.2023.3348837

Journal

1. [IEEE T-IV] Run Liu, Zhenzhe Qu, Guosheng Huang, Mianxiong Dong, Tian Wang, Shaobo Zhang, Anfeng Liu^*.
   “DRL-UTPS: DRL-based Trajectory Planning for Unmanned Aerial Vehicles for Data Collection in Dynamic IoT Network.”
   IEEE Transactions on Intelligent Vehicles, 8(2): 1204-1218 (2023).
   DOI: 10.1109/TIV.2022.3213703.

1. [IEEE T-ITS | CCF B] Run Liu, Anfeng Liu, Zhenzhe Qu, Neal N. Xiong^*.
   “An UAV-Enabled Intelligent Connected Transportation System With 6G Communications for Internet of Vehicles.”
   IEEE Transactions on Intelligent Transportation Systems, 24(2): 2045-2059 (2023).
   DOI: 10.1109/TITS.2021.3122567.

Conference

1. [ICONIP'23 | CCF C] Siyi Lu^❤, Bolei Chen, Ping Zhong^*, Yu Sheng, Yongzheng Cui, Run Liu.
   “CrowdNav-HERO: Pedestrian Trajectory Prediction Based Crowded Navigation with Human-Environment-Robot Ternary Fusion.”
   The 30th International Conference on Neural Information Processing (ICONIP).

Awards & Honors

• [2022] Outstanding Graduate of Central South University
  Central South University.
• [2021] Student Scholarship of University of Chinese Academy of Sciences
  University of Chinese Academy of Sciences.