Kai Li (Publications)

Kai Li (Publications)

PhD University of New South Wales, Australia
Integrated PhD Researcher

Kai Li received the B.E. degree from Shandong University, China, in 2009, the M.S. degree from The Hong Kong University of Science and Technology, Hong Kong, in 2010, and the Ph.D. degree in computer science from The University of New South Wales, Sydney, NSW, Australia, in 2014. He is a Senior Research Scientist with the CISTER Research Unit at ISEP/IPP, and a CMU-Portugal Research Fellow, jointly supported by Carnegie Mellon University (CMU), Pittsburgh, PA, USA, and the Foundation for Science and Technology (FCT), Lisbon, Portugal. 

 

From 2023 to 2024, Dr. Li was a Visiting Research Scientist with the Division of Electrical Engineering, Department of Engineering, University of Cambridge, UK. In 2022, he was a Visiting Research Scholar with the CyLab Security and Privacy Institute at CMU. Prior to this, he was a Post-Doctoral Research Fellow with the SUTD-MIT International Design Centre, Singapore University of Technology and Design, Singapore, from 2014 to 2016. He has also held positions as a Visiting Research Assistant with the ICT Centre, CSIRO, Brisbane, QLD, Australia, from 2012 to 2013, and a Research Assistant with the Mobile Technologies Centre, The Chinese University of Hong Kong, Hong Kong, from 2010 to 2011. He has been an Associate Editor for the Internet of Things journal (Elsevier) since 2024, the Nature Computer Science journal (Springer) since 2023, the Computer Communications journal (Elsevier) and Ad Hoc Networks journal (Elsevier) since 2021, and IEEE ACCESS journal from 2018 to 2024. Dr. Li is an IEEE Senior Member, ACM member, and a member of IEEE Vehicular Technology Society and IEEE Communications Society.

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Journal Papers
Onboard Deep Deterministic Policy Gradients for Online Flight Resource Allocation of UAVs CISTER-TR-200602 
Kai Li, Yousef Emami, Wei Ni, Eduardo Tovar, Zhu HanIEEE Networking Letters, IEEE. 1, Sep, 2020, Volume 2, Issue 3, pp 106-110.
Joint Flight Cruise Control and Data Collection in UAV-aided Internet of Things: An Onboard Deep Reinforcement Learning Approach CISTER-TR-200901 
Kai Li, Wei Ni, Eduardo Tovar, Mohsen GuizaniIEEE Internet of Things Journal, IEEE. 24, Aug, 2020.Early Access Article
Onboard Double Q-learning for Airborne Data Capture in Wireless Powered IoT Networks CISTER-TR-200402 
Kai Li, Wei Ni, Eduardo TovarIEEE Networking Letters, IEEE. 21, Apr, 2020, Volume 2, Issue 2, pp 71-75.
Optimal Rate-Adaptive Data Dissemination in Vehicular Platoons CISTER-TR-190909 
Kai Li, Wei Ni, Eduardo Tovar, Mohsen GuizaniIEEE Transactions on Intelligent Transportation Systems, IEEE. 2020, Volume 21, Issue 10, pp 4241-4251.
Conference or Workshop Papers/Talks
Deep Reinforcement Learning for Real-Time Trajectory Planning in UAV Networks CISTER-TR-200401 
Kai Li, Wei Ni, Eduardo Tovar, Mohsen Guizani16th International Conference on Wireless Communications & Mobile Computing (IWCMC 2020). 15 to 19, Jun, 2020, pp 958-963. Online.
Deep Q-Learning based Resource Management in UAV-assisted Wireless Powered IoT Networks CISTER-TR-200201 
Kai Li, Wei Ni, Eduardo Tovar, Abbas JamalipourIEEE International Conference on Communications (ICC 2020). 7 to 11, Jun, 2020, pp 1-6. Online.
Buffer-Aware Scheduling for UAV Relay Networks with Energy Fairness CISTER-TR-200202 
Yousef Emami, Kai Li, Eduardo Tovar91st IEEE Vehicular Technology Conference (VTC2020-Spring). 25 to 28, May, 2020, pp 1-5. Online.
Conference or Workshop Posters/Demos
Multi-Drone Assisted Internet of Things Testbed Based on Bluetooth 5 Communications CISTER-TR-200205 
Kai Li, Ning Lu, Pei Zhang, Wei Ni, Eduardo TovarPoster presented in 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2020). 21 to 24, Apr, 2020. Online.