Kai Li
Orcid: 0000-0002-0517-2392Affiliations:
- University of Cambridge, Department of Engineering, UK
- Real-Time and Embedded Computing Systems Research Centre (CISTER), Porto, Portugal
- Singapore University of Technology and Design (SUTD), Singapore (2014 - 2016)
- University of New South Wales, Sydney, Australia (PhD 2014)
According to our database1,
Kai Li
authored at least 89 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
DRL-KeyAgree: An Intelligent Combinatorial Deep Reinforcement Learning-Based Vehicular Platooning Secret Key Generation.
IEEE Trans. Intell. Transp. Syst., November, 2024
Age of Information Minimization Using Multi-Agent UAVs Based on AI-Enhanced Mean Field Resource Allocation.
IEEE Trans. Veh. Technol., September, 2024
ACM Trans. Sens. Networks, January, 2024
Data-Agnostic Model Poisoning Against Federated Learning: A Graph Autoencoder Approach.
IEEE Trans. Inf. Forensics Secur., 2024
Detection and Mitigation of Position Spoofing Attacks on Cooperative UAV Swarm Formations.
IEEE Trans. Inf. Forensics Secur., 2024
Feature selection based on dataset variance optimization using Hybrid Sine Cosine - Firehawk Algorithm (HSCFHA).
Future Gener. Comput. Syst., 2024
Fusion flow-enhanced graph pooling residual networks for Unmanned Aerial Vehicles surveillance in day and night dual visions.
Eng. Appl. Artif. Intell., 2024
CoRR, 2024
Human-In-The-Loop Machine Learning for Safe and Ethical Autonomous Vehicles: Principles, Challenges, and Opportunities.
CoRR, 2024
A Novel Defense Against Poisoning Attacks on Federated Learning: LayerCAM Augmented with Autoencoder.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey.
IEEE Commun. Surv. Tutorials, 2024
Detecting Poisoning Attacks on Federated Learning Using Gradient-Weighted Class Activation Mapping.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Exploring Representational Similarity Analysis to Protect Federated Learning from Data Poisoning.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
2023
IEEE Internet Things J., March, 2023
IEEE Internet Things J., 2023
CoRR, 2023
MAPPO-Based Cooperative UAV Trajectory Design with Long-Range Emergency Communications in Disaster Areas.
Proceedings of the 24th IEEE International Symposium on a World of Wireless, 2023
Federated Learning for Online Resource Allocation in Mobile Edge Computing: A Deep Reinforcement Learning Approach.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023
Exploring Graph Neural Networks for Joint Cruise Control and Task Offloading in UAV-enabled Mobile Edge Computing.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023
Exploring Adversarial Graph Autoencoders to Manipulate Federated Learning in The Internet of Things.
Proceedings of the International Wireless Communications and Mobile Computing, 2023
AoI Minimization Using Multi-Agent Proximal Policy Optimization in UAVs-Assisted Sensor Networks.
Proceedings of the IEEE International Conference on Communications, 2023
2022
Data-Driven Flight Control of Internet-of-Drones for Sensor Data Aggregation Using Multi-Agent Deep Reinforcement Learning.
IEEE Wirel. Commun., 2022
Robust Transmission Scheduling for UAV-Assisted Millimeter-Wave Train-Ground Communication System.
IEEE Trans. Veh. Technol., 2022
Continuous Maneuver Control and Data Capture Scheduling of Autonomous Drone in Wireless Sensor Networks.
IEEE Trans. Mob. Comput., 2022
Employing Intelligent Aerial Data Aggregators for the Internet of Things: Challenges and Solutions.
IEEE Internet Things Mag., 2022
Exploring Deep-Reinforcement-Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT.
IEEE Internet Things J., 2022
Deep-Graph-Based Reinforcement Learning for Joint Cruise Control and Task Offloading for Aerial Edge Internet of Things (EdgeIoT).
IEEE Internet Things J., 2022
LSTM-Characterized Deep Reinforcement Learning for Continuous Flight Control and Resource Allocation in UAV-Assisted Sensor Network.
IEEE Internet Things J., 2022
Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in EdgeIoT.
CoRR, 2022
An Experimental Study of Two-way Ranging Optimization in UWB-based Simultaneous Localization and Wall-Mapping Systems.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022
i<sup>2</sup> Key: A Cross-sensor Symmetric Key Generation System Using Inertial Measurements and Inaudible Sound.
Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022
Poster: An Experimental Localization Testbed based on UWB Channel Impulse Response Measurements.
Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022
Lightweight, Privacy-Preserving Handover Authentication for Integrated Terrestrial-Satellite Networks.
Proceedings of the IEEE International Conference on Communications, 2022
Data-driven Deep Reinforcement Learning for Online Flight Resource Allocation in UAV-aided Wireless Powered Sensor Networks.
Proceedings of the IEEE International Conference on Communications, 2022
2021
Online Velocity Control and Data Capture of Drones for the Internet of Things: An Onboard Deep Reinforcement Learning Approach.
IEEE Veh. Technol. Mag., 2021
Joint Communication Scheduling and Velocity Control in Multi-UAV-Assisted Sensor Networks: A Deep Reinforcement Learning Approach.
IEEE Trans. Veh. Technol., 2021
No Need of Data Pre-processing: A General Framework for Radio-based Device-free Context Awareness.
ACM Trans. Internet Things, 2021
ACM Trans. Cyber Phys. Syst., 2021
Confidentiality and Timeliness of Data Dissemination in Platoon-based Vehicular Cyber-Physical Systems.
IEEE Netw., 2021
Joint Flight Cruise Control and Data Collection in UAV-Aided Internet of Things: An Onboard Deep Reinforcement Learning Approach.
IEEE Internet Things J., 2021
A Practical Secret Key Management for Multihop Drone Relay Systems based on Bluetooth Low Energy.
Proceedings of the 18th Annual IEEE International Conference on Sensing, 2021
Deep Reinforcement Learning for Persistent Cruise Control in UAV-aided Data Collection.
Proceedings of the 46th IEEE Conference on Local Computer Networks, 2021
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021
Deep Q-Networks for Aerial Data Collection in Multi-UAV-Assisted Wireless Sensor Networks.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021
Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021
2020
IEEE Trans. Intell. Transp. Syst., 2020
Design and Implementation of Secret Key Agreement for Platoon-based Vehicular Cyber-physical Systems.
ACM Trans. Cyber Phys. Syst., 2020
Onboard Double Q-Learning for Airborne Data Capture in Wireless Powered IoT Networks.
IEEE Netw. Lett., 2020
Onboard Deep Deterministic Policy Gradients for Online Flight Resource Allocation of UAVs.
IEEE Netw. Lett., 2020
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020
Poster Abstract: Multi-Drone Assisted Internet of Things Testbed Based on Bluetooth 5 Communications.
Proceedings of the 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2020
Deep Q-Learning based Resource Management in UAV-assisted Wireless Powered IoT Networks.
Proceedings of the 2020 IEEE International Conference on Communications, 2020
2019
IEEE Trans. Veh. Technol., 2019
IEEE Trans. Veh. Technol., 2019
IEEE Trans. Veh. Technol., 2019
Fair Scheduling for Data Collection in Mobile Sensor Networks with Energy Harvesting.
IEEE Trans. Mob. Comput., 2019
IEEE Trans. Green Commun. Netw., 2019
Eavesdropping and Jamming Selection Policy for Suspicious UAVs Based on Low Power Consumption over Fading Channels.
Sensors, 2019
No Need of Data Pre-processing: A General Framework for Radio-Based Device-Free Context Awareness.
CoRR, 2019
CoRR, 2019
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019
Proceedings of the 18th International Conference on Information Processing in Sensor Networks, 2019
Proceedings of the 20th International Conference on Distributed Computing and Networking, 2019
Proceedings of the 2019 IEEE International Conference on Communications, 2019
2018
Fog Computing-Assisted Energy-Efficient Resource Allocation for High-Mobility MIMO-OFDMA Networks.
Wirel. Commun. Mob. Comput., 2018
IEEE Trans. Veh. Technol., 2018
Proceedings of the 4th IEEE World Forum on Internet of Things, 2018
Proceedings of the 87th IEEE Vehicular Technology Conference, 2018
Proceedings of the 9th ACM/IEEE International Conference on Cyber-Physical Systems, 2018
Proceedings of the 2018 IEEE International Conference on Communications, 2018
2017
Proceedings of the 13th International Wireless Communications and Mobile Computing Conference, 2017
Proceedings of the 2017 IEEE Global Communications Conference, 2017
Proceedings of the 2017 IEEE Global Communications Conference, 2017
2016
IEEE Trans. Mob. Comput., 2016
Pervasive Mob. Comput., 2016
Design of Cloud-Connected IoT System for Smart Buildings on Energy Management (Invited paper).
EAI Endorsed Trans. Ind. Networks Intell. Syst., 2016
Spatial and temporal analysis of urban space utilization with renewable wireless sensor network.
Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 2016
2015
Proceedings of the 6th ACM Workshop on Real World Wireless Sensor Networks, 2015
Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015
Proceedings of the 2015 IEEE International Conference on Communications, 2015
2014
Reliable Communications and Energy Efficient Relay in Aerial Wireless Sensor Networks.
PhD thesis, 2014
Reliable positioning with hybrid antenna model for aerial wireless sensor and actor networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2014
κ-FSOM: Fair Link Scheduling Optimization for Energy-Aware Data Collection in Mobile Sensor Networks.
Proceedings of the Wireless Sensor Networks - 11th European Conference, 2014
2012
Proceedings of the 37th Annual IEEE Conference on Local Computer Networks, 2012