Publications
PhD Dissertation
"Reliable Communications and Energy Efficient Relay in Aerial Wireless Sensor Networks" [UNSW Library]
supervised by Prof. Sanjay Jha (UNSW) and Prof. Salil Kanhere (UNSW); co-supervised by Prof. Raja Jurdak (CSIRO) and Dr. Brano Kusy (CSIRO).
Journals
(*Corresponding author)
H. Kurunathan, K. Li*, E. Tovar, A. Jorge, W. Ni, and A. Jamalipour, "DRL-KeyAgree: An Intelligent Combinatorial Deep Reinforcement Learning-Based Vehicular Platooning Secret Key Generation", IEEE Transactions on Intelligent Transportation Systems (TITS), 2024. [pdf]
K. Li, X. Yuan, J. Zheng, W. Ni, F. Dressler, and A. Jamalipour, "Leverage Variational Graph Representation For Model Poisoning on Federated Learning," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024. [pdf]
Y. Emami, H. Gao, K. Li*, L. Almeida, E. Tovar, and Z. Han, "Age of Information Minimization using Multi-agent UAVs based on AI-Enhanced Mean Field Resource Allocation," IEEE Transactions on Vehicular Technology (TVT), 2024. [pdf]
K. Li, J. Zheng, X. Yuan, W. Ni, O. Akan, and H. Poor, "Data-Agnostic Model Poisoning against Federated Learning: A Graph Autoencoder Approach," IEEE Transactions on Information Forensics and Security (TIFS), 2024. [pdf]
S. Bi, K. Li, S. Hu, W. Ni, C. Wang, and X. Wang, "Detection and Mitigation of Position Spoofing Attacks on Cooperative UAV Swarm Formations," IEEE Transactions on Information Forensics and Security (TIFS), 2024. [pdf]
A. Noor, K. Li*, E. Tovar, P. Zhang, and B. Wei, "Fusion Flow-enhanced Graph Pooling Residual Networks for Unmanned Aerial Vehicle Surveillance in Day and Night Dual Visions", Elsevier Engineering Applications of Artificial Intelligence (EAAI), 2024. [pdf]
S. K. R. Moosavia, A. Saadata, Z. Abaid, W. Ni, K. Li, and M. Guizani, "Feature selection based on dataset variance optimization using Hybrid Sine Cosine – Firehawk Algorithm (HSCFHA)," Elsevier Future Generation Computer Systems (FGCS), 2024. [pdf]
H. Kurunathan, H. Huang, K. Li, W. Ni, and E. Hossain, "Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey," IEEE Communications Surveys and Tutorials (COMST), 2023. (COMST Featured Paper) [pdf]
K. Li, B. Lau, X. Yuan, W. Ni, M. Guizani, and C. Yuen, "Towards Ubiquitous Semantic Metaverse: Challenges, Approaches, and Opportunities," IEEE Internet of Things Journal (IoTJ), 2023. [pdf]
B. Wei, W. Xu, M. Gao, G. Lan, K. Li, C. Luo, and J. Zhang, "SolarKey: Battery-free Key Generation Using Solar Cells," ACM Transactions on Sensor Networks (TOSN), 2023. [pdf]
K. Li, Y. Cui, W. Li, T. Lv, X. Yuan, S. Li, W. Ni, M. Simsek, and F. Dressler, "When Internet of Things meets Metaverse: Convergence of Physical and Cyber Worlds," IEEE Internet of Things Journal (IoTJ), 2022. [pdf]
Y. Ma, Y. Niu, Z. Han, B. Ai, K. Li, Z. Zhong, and N. Wang, "Robust Transmission Scheduling for UAV-assisted Millimeter-Wave Train-Ground Communication System," IEEE Transactions on Vehicular Technology (TVT), 2022. [pdf]
K. Li, W. Ni, Y. Emami, and F. Dressler, "Data-driven Flight Control of Internet-of-Drones for Sensor Data Aggregation using Multi-agent Deep Reinforcement Learning," IEEE Wireless Communications Magazine (WCM), 2022. [pdf]
K. Li, W. Ni, X. Yuan, A. Noor, and A. Jamalipour, "Deep Graph-based Reinforcement Learning for Joint Cruise Control and Task Offloading for Aerial Edge Internet-of-Things (EdgeIoT)," IEEE Internet of Things Journal (IoTJ), 2022. [pdf]
J. Zheng, K. Li*, N. Mhaisen, W. Ni, E. Tovar, and M. Guizani, "Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT," IEEE Internet of Things Journal (IoTJ), 2022. [pdf]
K. Li, W. Ni, A. Noor, and M. Guizani, "Employing Intelligent Aerial Data Aggregators for Internet of Things: Challenges and Solutions," IEEE Internet of Things Magazine (IoTM), 2022. [pdf]
Y. Emami, B. Wei, K. Li*, W. Ni, and E. Tovar, "Joint Communication Scheduling and Velocity Control in Multi-UAV-Assisted Sensor Networks: A Deep Reinforcement Learning Approach," IEEE Transactions on Vehicular Technology (TVT), 2021. [pdf]
K. Li, W. Ni, and F. Dressler, "LSTM-characterized Deep Reinforcement Learning for Continuous Flight Control and Resource Allocation in UAV-assisted Sensor Network," IEEE Internet of Things Journal (IoTJ), 2021. [pdf]
B. Wei, K. Li, C. Luo, W. Xu, J. Zhang, and K. Zhang, "No Need of Data Pre-processing: A General Framework for Radio-Based Device-Free Context Awareness," ACM Transactions on Internet of Things (TIOT), 2021. [pdf]
K. Li, W. Ni, J. Zheng, E. Tovar, and M. Guizani, "Confidentiality and Timeliness of Data Dissemination in Platoon-based Vehicular Cyber-Physical Systems," IEEE Network, 2021. [pdf]
K. Li, N. Lu, J. Zheng, P. Zhang, W. Ni, and E. Tovar, "BloothAir: A Secure Aerial Relay System Using Bluetooth Connected Autonomous Drones," ACM Transactions on Cyber-Physical Systems (TCPS), 2021. [pdf]
K. Li, W. Ni, and F. Dressler, "Continuous Maneuver Control and Data Capture Scheduling of Autonomous Drone in Wireless Sensor Networks," IEEE Transactions on Mobile Computing (TMC), 2021. [pdf]
K. Li, W. Ni, E. Tovar, and A. Jamalipour, "Online Velocity Control and Data Capture of Drones for the Internet-of-Things: An Onboard Deep Reinforcement Learning Approach," IEEE Vehicular Technology Magazine (VTM), 2021. [pdf]
K. Li, W. Ni, E. Tovar, and M. Guizani, "Joint Flight Cruise Control and Data Collection in UAV-aided Internet of Things: An Onboard Deep Reinforcement Learning Approach," IEEE Internet of Things Journal (IoTJ), 2020. [pdf]
K. Li, Y. Emami, W. Ni, E. Tovar, and Z. Han, "Onboard Deep Deterministic Policy Gradients for Online Flight Resource Allocation of UAVs," IEEE Networking Letters, 2020. [pdf]
K. Li, W. Ni, B. Wei, and E. Tovar, "Onboard Double Q-learning for Airborne Data Capture in Wireless Powered IoT Networks," IEEE Networking Letters, 2020. [pdf]
K. Li, W. Ni, Y. Emami, Y. Shen, R. Severino, D. Pereira, and E. Tovar, "Design and Implementation of Secret Key Agreement for Platoon-based Vehicular Cyber-Physical Systems," ACM Transactions on Cyber-Physical Systems (TCPS), 2019. (ACM TCPS Most Popular Paper) [pdf]
K. Li, W. Ni, E. Tovar, and A. Jamalipour, "On-board Deep Q-Network for UAV-assisted Online Power Transfer and Data Collection," IEEE Transactions on Vehicular Technology (TVT), 2019. [pdf]
K. Li, W. Ni, E. Tovar, and M. Guizani, "Optimal Rate-Adaptive Data Dissemination in Vehicular Platoons," IEEE Transactions on Intelligent Transportation Systems (TITS), 2019. [pdf]
K. Li, L. Lu, W. Ni, E. Tovar, and M. Guizani, "Secret Key Agreement for Data Dissemination in Vehicular Platoons," IEEE Transactions on Vehicular Technology (TVT), 2019. [pdf]
X. Wang, D. Li, C. Guo, X. Zhang, S. S. Kanhere, K. Li, and E. Tovar, "Eavesdropping and Jamming Selection Policy for Suspicious UAVs Based on Low Power Consumption over Fading Channels," Sensors Journal, 2019. [pdf]
K. Li, R. C. Voicu, S. S. Kanhere, W. Ni, and E. Tovar, "Energy Efficient Legitimate Wireless Surveillance of UAV Communications," IEEE Transactions on Vehicular Technology (TVT), 2019. [pdf]
K. Li, C. Yuen, S. S. Kanhere, K. Hu, W. Zhang, F. Jiang, and X. Liu, "An Experimental Study for Tracking Crowd in Smart Cities," IEEE System Journal, 2018. [pdf]
K. Li, W. Ni, M. Abolhasan, and E. Tovar, "Reinforcement Learning for Scheduling Wireless Powered Sensor Communications," IEEE Transactions on Green Communications and Networking (TGCN), 2018. [pdf]
K. Li, C. Yuen, B. Kusy, R. Jurdak, A. Ignjatovic, S. S. Kanhere, and S. Jha, "Fair Scheduling for Data Collection in Mobile Sensor Networks with Energy Harvesting," IEEE Transactions on Mobile Computing (TMC), 2018. [pdf]
L. Lu, T. Wang, W. Ni, K. Li, and B. Gao, "Fog Computing-Assisted Energy-Efficient Resource Allocation for High-mobility MIMO-OFDMA Networks," Wireless Communications and Mobile Computing Journal (WCMC), 2018. [pdf]
K. Li, W. Ni, L. Duan, M. Abolhasan, and J. Niu, "Wireless Power Transfer and Data Collection in Wireless Sensor Networks," IEEE Transactions on Vehicular Technology (TVT), 2017. [pdf]
F.-C. Tseng, T.C.E Cheng, K. Li, C.-I. Teng, "How does media richness contribute to customer loyalty to mobile instant messaging?", Internet Research, 2017. (pdf)
K. Li, "Micro Air Vehicles", International Journal of Sensor Networks and Data Communications (IJSNDC), 2016. (invited letter) [pdf]
K. Li, N. Ahmed, S. S. Kanhere, and S. Jha, "Reliable Transmissions in AWSNs by Using O-BESPAR Hybrid Antenna," Pervasive and Mobile Computing (PMC), 2016.[pdf]
K. Li, W. Ni, X. Wang, R. P. Liu, S. S. Kanhere, and S. Jha, "Energy Efficient Relaying Network with Cooperative Unmanned Aerial Vehicles," IEEE Transactions on Mobile Computing (TMC), 2016. (IEEE TMC Most Popular Paper) [pdf]
W. Tushar, C. Yuen, K. Li, K. L. Wood, W. Zhang, and X. Liu, "Design of Cloud-Connected IoT System for Smart Buildings on Energy Management," EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2016. (invited paper) [pdf]
Conferences
L. Qi, B. Wu, F. Wang, K. Li, W. Ni, and A. Jamalipour, "Differentially Private Energy Sharing Among Smart Grid-Powered Base Stations," Proceedings of IEEE Vehicular Technology Conference: VTC2024-Fall, 2024.
K. Li, A. Noor, W. Ni, E. Tovar, X. Fu, and O. Akan, "Poisoning Federated Learning with Graph Neural Networks in Internet of Drones," Proceedings of IEEE International Conference on Computer Communications and Networks (ICCCN), 2024.
H. Kurunathan, K. Li*, W. Ni, N. Li, E. Tovar, and M. Guizani, "Exploring LSTM-assisted A2C For Physical Layer Security in Vehicular Cyber-Physical Systems," Proceedings of IEEE International Wireless Communications and Mobile Computing Conference (IWCMC), 2024.
Z. Liang, X. Lyu, C. Ren, N. Li, and K. Li, "Communication-Efficient Topology Orchestration for Distributed Learning in UAV Networks," Proceedings of IEEE International Wireless Communications and Mobile Computing Conference (IWCMC), 2024.
J. Zheng, K. Li*, X. Yuan, W. Ni, and E. Tovar, "Detecting Poisoning Attacks on Federated Learning Using Gradient-Weighted Class Activation Mapping," Proceedings of The ACM Web Conference (WWW), 2024. (Short Paper) [video]
G. Chen, Q. Ma, K. Li, and L. You, "Exploring Representational Similarity Analysis to Protect Federated Learning from Data Poisoning," Proceedings of The ACM Web Conference (WWW), 2024. (Short Paper) [video]
B. Wei, W. Xu, M. Gao, G. Lan, K. Li, C. Luo, and J. Zhang, "SolarKey: Battery-free Key Generation Using Solar Cells," Proceedings of ACM Conference on Embedded Networked Sensor Systems (SenSys), 2023. (Journal Article Presentations)
K. Li, W. Ni, X. Yuan, A. Noor, and A. Jamalipour, "Exploring Graph Neural Networks for Joint Cruise Control and Task Offloading in UAV-enabled Mobile Edge Computing," Proceedings of IEEE Vehicular Technology Conference: VTC2023-Spring, 2023.
Y. Guan, S. Zou, K. Li, W. Ni, and B. Wu, "MAPPO-Based Cooperative UAV Trajectory Design with Long-Range Emergency Communications in Disaster Areas," IEEE Workshop on Wireless outdoor, Long-Range and Low-Power Networks (WOLOLO), in conjunction with IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2023.
K. Li, X. Yuan, J. Zheng, W. Ni, and M. Guizani, "Exploring Adversarial Graph Autoencoders to Manipulate Federated Learning in The Internet of Things," Proceedings of IEEE International Wireless Communications and Mobile Computing Conference (IWCMC), 2023.
Y. Emami, K. Li*, Y. Niu, and E. Tovar, "AoI Minimization using Multi-agent Proximal Policy Optimization in UAVs-assisted Sensor Networks," Proceedings of IEEE International Conference on Communications (ICC), 2023.
J. Zheng, K. Li*, N. Mhaisen, W. Ni, E. Tovar, and M. Guizani, "Federated Learning for Online Resource Allocation in Mobile Edge Computing: A Deep Reinforcement Learning Approach," Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), 2023.
K. Li, W. Ni, B. Wei, and M. Guizani, "An Experimental Study of Two-way Ranging Optimization in UWB-based Simultaneous Localization and Wall-Mapping Systems," Proceedings of IEEE International Wireless Communications and Mobile Computing Conference (IWCMC), 2022. (Best Paper Award)
B. Wei, W. Xu, K. Li, C. Luo, and J. Zhang, "i2Key: A Cross-sensor Symmetric Key Generation System using Inertial Measurements and Inaudible Sound," Proceedings of ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2022.
K. Li, W. Ni, and P. Zhang, "An Experimental Localization Testbed based on UWB Channel Impulse Response Measurements," Proceedings of ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2022. (Poster Abstract)
K. Li, W. Ni, H. Kurunathan, and F. Dressler, "Data-driven Deep Reinforcement Learning for Online Flight Resource Allocation in UAV-aided Wireless Powered Sensor Networks," Proceedings of IEEE International Conference on Communications (ICC), 2022. [pdf]
A. Noor, K. Li, A. Ammar, A. Koubaa, B. Benjdira, and E. Tovar, "A Hybrid Deep Learning Model for UAVs Detection in Day and Night Dual Visions", Proceedings of IEEE International Conference on Cognitive Machine Intelligence (CogMI), 2021.
B. Wei, K. Li, C. Luo, W. Xu, J. Zhang, and K. Zhang, "No Need of Data Pre-processing: A General Framework for Radio-based Device-free Context Awareness", Proceedings of ACM Conference on Embedded Networked Sensor Systems (SenSys), 2021. (Journal Track)
H. Kurunathan, K. Li*, W. Ni, E. Tovar, and F. Dressler, "Deep Reinforcement Learning for Persistent Cruise Control in UAV-Aided Data Collection," Proceedings of IEEE Conference on Local Computer Networks (LCN), 2021. [pdf]
K. Li, N. Lu, J. Zheng, P. Zhang, W. Ni, and E. Tovar, "A Practical Secret Key Management for Multihop Drone Relay Systems based on Bluetooth Low Energy," Proceedings of IEEE International Conference on Sensing, Communication and Networking (SECON), 2021. (Demo Abstract)
J. Zheng, K. Li*, E. Tovar, and M. Guizani, "Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing," Proceedings of IEEE International Wireless Communications and Mobile Computing Conference (IWCMC), 2021. [pdf]
Y. Emami, B. Wei, K. Li*, W. Ni, and E. Tovar, "Deep Q-Networks for Aerial Data Collection in Multi-UAV-Assisted Wireless Sensor Networks," Proceedings of IEEE International Wireless Communications and Mobile Computing Conference (IWCMC), 2021. [pdf]
K. Li, W. Ni, E. Tovar, and M. Guizani, "Deep Reinforcement Learning for Real-Time Trajectory Planning in UAV Networks," Proceedings of IEEE International Wireless Communications and Mobile Computing Conference (IWCMC), 2020. [pdf]
K. Li, N. Lu, P. Zhang, W. Ni, and E. Tovar, "Multi-Drone Assisted Internet of Things Testbed Based on Bluetooth 5 Communications," Proceedings of ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2020. (Poster Abstract)
K. Li, W. Ni, E. Tovar, and A. Jamalipour, "Deep Q-Learning based Resource Management in UAV-assisted Wireless Powered IoT Networks," Proceedings of IEEE International Conference on Communications (ICC), 2020. [pdf]
Y. Emami, K. Li*, and E. Tovar, "Buffer-Aware Scheduling for UAV Relay Networks with Energy Fairness," Proceedings of IEEE Vehicular Technology Conference (VTC Spring), 2020. [pdf]
K. Li, S. S. Kanhere, W. Ni, E. Tovar, and M. Guizani, "Proactive Eavesdropping via Jamming for Trajectory Tracking of UAVs," Proceedings of IEEE International Wireless Communications and Mobile Computing Conference (IWCMC), 2019. [pdf]
K. Li, Y. Emami, and E. Tovar, "Privacy-preserving Control Message Dissemination for PVCPS," Proceedings of ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2019. (Poster Abstract)
K. Li, L. Lu, W. Ni, E. Tovar, and M. Guizani, "Cooperative Secret Key Generation for Platoon-based Vehicular Communications," Proceedings of IEEE International Conference on Communications (ICC), 2019. [pdf]
B. Du, C. X. Lu, X. Kan, K. Wu, M. Luo, J. Hou, K. Li, S. S. Kanhere, Y. Shen, and H. Wen, "HydraDoctor: Real-time Liquids Intake Monitoring by Collaborative Sensing," Proceedings of ACM International Conference on Distributed Computing and Networking (ICDCN), 2019. [pdf]
Y. Chen, Y. Niu, B. Ai, Z. Zhong, D. Wu, and K. Li, "Using Coalition Games for QoS Aware Scheduling in mmWave WPANs," Proceedings of IEEE Vehicular Technology Conference (VTC Spring), 2018. [pdf]
K. Li, H. Kurunathan, R. Severino, and E. Tovar, "Cooperative Key Generation For Data Dissemination in Cyber-Physical Systems," Proceedings of ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), 2018. (Poster Abstract)
K. Li, W. Ni, E. Tovar, and M. Guizani, "LCD: Low Latency Command Dissemination for A Platoon of Vehicles," Proceedings of IEEE International Conference on Communications (ICC), 2018. [pdf]
K. Li, C. Yuen, S. S. Kanhere, K. Hu, W. Zhang, F. Jiang, and X. Liu, "Understanding Crowd Density With A Smartphone Sensing System," Proceedings of the IEEE World Forum on Internet of Things (WF-IoT), 2018. [pdf]
K. Li, W. Ni, L. Duan, M. Abolhasan, and J. Niu, "SWPT: A Joint-scheduling Model for Wireless Powered Sensor Networks," Proceedings of IEEE Global Communications Conference (Globecom), 2017. [pdf]
J. Xu, K. Li L. Duan, and R. Zhang, "Proactive Eavesdropping via Jamming over HARQ-Based Communications," Proceedings of IEEE Global Communications Conference (Globecom), 2017. [pdf]
X. Wang, K. Li, S. S. Kanhere, D. Li, X. Zhang, and E. Tovar, "PELE: Power Efficient Legitimate Eavesdropping via Jamming in UAV Communications," Proceedings of IEEE International Wireless Communications and Mobile Computing Conference (IWCMC), 2017. [pdf]
B. P. Lau, T. Chaturvedi, B. K. K. Ng, K. Li, M. S. Hasala, and C. Yuen, "Spatio and Temporal Analysis of Urban Space Utilization with Renewable Wireless Sensor Network", Proceedings of IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), 2016. [pdf]
C. Yuen, K. Li, T. Chaturvedi, A. Sharma, L. Dai, and M. Zhang, "On the Design of MAC Protocol and Transmission Scheduling for Internet of Things", Proceedings of IEEE Region 10 International Conference (TENCON), 2016. [pdf]
K. Li, C. Yuen, and S. Jha, "Fair Scheduling for Energy Harvesting WSN in Smart City," Proceedings of ACM Conference on Embedded Networked Sensor Systems (SenSys), 2015. (Poster Abstract)
K. Li, C. Yuen, and S. S. Kanhere, "SenseFlow: An Experimental Study of People Tracking," The 6th ACM Workshop on Real-World Wireless Sensor Networks (REALWSN), 2015. [pdf]
K. Li, W. Ni, X. Wang, R. P. Liu, S. S. Kanhere, and S. Jha, "EPLA: Energy-balancing Packets Scheduling for Airborne Relaying Networks," Proceedings of IEEE International Conference on Communications (ICC), 2015. [pdf]
K. Li, B. Kusy, R. Jurdak, A. Ignjatovic, S. S. Kanhere, and S. Jha, "κ-FSOM: Fair Link Scheduling Optimization for Energy-Aware Data Collection in Mobile Sensor Networks," Proceedings of European Conference on Wireless Sensor Networks (EWSN), pp. 17-33, 2014. [pdf]
J. Zhang, K. Li, A. Reinhardt, and S. S. Kanhere, "AGRO - Optimal Routing with Low Latency and Energy Consumption in WSN with Aerial Relay Nodes," Proceedings of European Conference on Wireless Sensor Networks (EWSN), 2014. (Poster Abstract)
K. Li, M. I. Akbas, D. Turgut, S. S. Kanhere, and S. Jha, "Reliable Positioning with Hybrid Antenna Model for Aerial Wireless Sensor and Actor Networks," Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC), 2014. [pdf]
A. Reinhardt, D. Christin, K. Li, S. S. Kanhere, and J. Zhang, "Smarter Buildings for the Smart Grid? Let Them Forecast Their Power Consumption," Proceedings of IEEE Local Computer Networks Conference (LCN), 2013. (Demo Abstract, Best Demo Award) [pdf]
K. Li, N. Ahmed, S. S. Kanhere, and S. Jha, "Reliable Communications in Aerial Sensor Networks by Using a Hybrid Antenna," Proceedings of IEEE Local Computer Networks Conference (LCN), pp. 156–159, 2012. (short paper) [pdf]
Book Chapter
T. Chaturvedi and K. Li, "Human Sensing Network Architecture and Challenges in Smart Cities", book chapter in Smart Cities: Technologies, Challenges and Future Prospects, Nova Science, 2017, ISBN: 978-1-53612-404-0.
Guest Editorials
Technical Reports
K. Li, Channel Estimation in Vehicular Platoons, 2018. [pdf]
T. Chaturvedi, K. Li, C. Yuen, A. Sharma, L. Dai, and M. Zhang, On the Design of MAC Protocol and Transmission Scheduling for Internet of Things, 2016. (the paper was accepted by TENCON 2016) [pdf]
K. Li, W. Ni, X. Wang, R. P. Liu, S. S. Kanhere, and S. Jha, EPLA: Energy-balancing Packets Scheduling for Airborne Relaying Networks, 2014. (the paper was accepted by ICC 2015) [pdf]
K. Li, B. Kusy, R. Jurdak, A. Ignjatovic, S. S. Kanhere, and S. Jha, κ-FSOM: Fair Link Scheduling Optimization for Energy-Aware Data Collection in Mobile Sensor Networks, 2013. (the paper was accepted by EWSN 2014) [pdf]
K. Li, N. Ahmed, S. S. Kanhere, and S. Jha, Reliable communications in aerial sensor networks by using a hybrid antenna, 2012. (the paper was accepted by LCN 2012) [pdf]
WONG Ying Wai, LI Kai, LAU Wing Cheong, Design and Implementation of Drunkenness Detection Application, Information Engineering, The Chinese University of Hong Kong, 2010. [uri]