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Kai Li
Kai Li
Senior Research Scientist and CMU-Portugal Research Fellow, CISTER research centre, Portugal
Verified email at ieee.org - Homepage
Title
Cited by
Cited by
Year
Energy-Efficient Cooperative Relaying for Unmanned Aerial Vehicles
K Li, W Ni, X Wang, RP Liu, SS Kanhere, S Jha
IEEE Transactions on Mobile Computing 15 (6), 1377-1386, 2016
2382016
When Internet of Things meets Metaverse: Convergence of Physical and Cyber Worlds
K Li, Y Cui, W Li, T Lv, X Yuan, S Li, W Ni, M Simsek, F Dressler
IEEE Internet of Things Journal 10 (5), 4148 - 4173, 2023
1662023
How does media richness contribute to customer loyalty to mobile instant messaging?
FC Tseng, TCE Cheng, K Li, CI Teng
Internet Research 27 (3), 520-537, 2017
1432017
On-board Deep Q-Network for UAV-assisted Online Power Transfer and Data Collection
K Li, W Ni, E Tovar, A Jamalipour
IEEE Transactions on Vehicular Technology, arXiv preprint arXiv:1906.07064, 2019
1192019
Energy Efficient Legitimate Wireless Surveillance of UAV Communications
K Li, RC Voicu, SS Kanhere, W Ni, E Tovar
IEEE Transactions on Vehicular Technology, 2019
1182019
Wireless power transfer and data collection in wireless sensor networks
K Li, W Ni, L Duan, M Abolhasan, J Niu
IEEE Transactions on Vehicular Technology 67 (3), 2686-2697, 2017
1022017
Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey
H Kurunathan, H Huang, K Li, W Ni, E Hossain
IEEE Communications Surveys & Tutorials, 2023
952023
Joint flight cruise control and data collection in uav-aided internet of things: An onboard deep reinforcement learning approach
K Li, W Ni, E Tovar, M Guizani
IEEE Internet of Things Journal 8 (12), 9787-9799, 2020
742020
Exploring Deep-Reinforcement-Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT
J Zheng, K Li, N Mhaisen, W Ni, E Tovar, M Guizani
IEEE Internet of Things Journal 9 (21), 21099-21110, 2022
632022
Deep-Graph-Based Reinforcement Learning for Joint Cruise Control and Task Offloading for Aerial Edge Internet of Things (EdgeIoT)
K Li, W Ni, X Yuan, A Noor, A Jamalipour
IEEE Internet of Things Journal 9 (21), 21676-21686, 2022
542022
Towards Ubiquitous Semantic Metaverse: Challenges, Approaches, and Opportunities
K Li, BPL Lau, X Yuan, W Ni, M Guizani, C Yuen
IEEE Internet of Things Journal, 2023
522023
LSTM-characterized Deep Reinforcement Learning for Continuous Flight Control and Resource Allocation in UAV-assisted Sensor Network
K Li, W Ni, F Dressler
IEEE Internet of Things Journal 9 (6), 4179-4189, 2021
492021
Continuous maneuver control and data capture scheduling of autonomous drone in wireless sensor networks
K Li, W Ni, F Dressler
IEEE Transactions on Mobile Computing 21 (8), 2732-2744, 2021
462021
Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing
J Zheng, K Li, E Tovar, M Guizani
IEEE International Wireless Communications & Mobile Computing Conference (IWCMC), 2021
452021
Fair scheduling for data collection in mobile sensor networks with energy harvesting
K Li, C Yuen, B Kusy, R Jurdak, A Ignjatovic, SS Kanhere, S Jha
IEEE Transactions on Mobile Computing 18 (6), 1274-1287, 2018
452018
An experimental study for tracking crowd in smart cities
K Li, C Yuen, SS Kanhere, K Hu, W Zhang, F Jiang, X Liu
IEEE Systems Journal 13 (3), 2966-2977, 2018
412018
Reinforcement learning for scheduling wireless powered sensor communications
K Li, W Ni, M Abolhasan, E Tovar
IEEE Transactions on Green Communications and Networking 3 (2), 264-274, 2018
382018
Deep Q-Learning based Resource Management in UAV-assisted Wireless Powered IoT Networks
K Li, W Ni, E Tovar, A Jamalipour
IEEE International Conference on Communications (ICC), 2020
362020
SenseFlow: An Experimental Study of People Tracking
K Li, C Yuen, S Kanhere
Proceedings of the 6th ACM Workshop on Real World Wireless Sensor Networks …, 2015
362015
Optimal Rate-Adaptive Data Dissemination in Vehicular Platoons
K Li, W Ni, E Tovar, M Guizani
IEEE Transactions on Intelligent Transportation Systems, 2019
342019
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