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Kai Li (Publications)

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, Australia, in 2014. From 2014 to 2016, he was a postdoctoral research fellow at The SUTD-MIT International Design Centre, The Singapore University of Technology and Design, Singapore. He was a visiting research assistant at ICT Centre, CSIRO, Australia (2012-2013). From 2010 to 2011, he was a research assistant in Mobile Technologies Centre with The Chinese University of Hong Kong.

He is currently a research scientist at CISTER Research Unit at ISEP/IPP. His research interests include vehicular communications and security, Cyber-Physical Systems, human sensing systems, resource allocation optimization, wireless sensor networks and UAV networks.

Kai is an IEEE Senior Member, and a member of IEEE Vehicular Technology Society. He has been serving as Associate Editor of IEEE Access Journal since 2018.

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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 Han
ABSTRACTPDFPDF
IEEE 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 Guizani
ABSTRACTPDFPDF
IEEE 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 Tovar
ABSTRACTPDFPDF
IEEE Networking Letters, IEEE. 21, Apr, 2020, Volume 2, Issue 2, pp 71-75.
Online Velocity Control and Data Capture of Drones for the Internet-of-Things: An Onboard Deep Reinforcement Learning Approach CISTER-TR-201106 
Kai Li, Wei Ni, Eduardo Tovar, Abbas Jamalipour
ABSTRACTPDFPDF
IEEE Vehicular Technology Magazine, IEEE. 2020.In Press, Journal Pre-proof
Optimal Rate-Adaptive Data Dissemination in Vehicular Platoons CISTER-TR-190909 
Kai Li, Wei Ni, Eduardo Tovar, Mohsen Guizani
ABSTRACTPDFPDF
IEEE 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 Guizani
ABSTRACTPDFPDF
16th 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 Jamalipour
ABSTRACTPDFPDF
IEEE 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 Tovar
ABSTRACTPDFPDF
91st 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 Tovar
ABSTRACTPDFPDF
Poster presented in 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2020). 21 to 24, Apr, 2020. Online.


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