Intrusion detection for IoT based on improved genetic algorithm and deep belief network Y Zhang, P Li, X Wang IEEE Access 7, 31711-31722, 2019 | 399 | 2019 |
EPtask: Deep reinforcement learning based energy-efficient and priority-aware task scheduling for dynamic vehicular edge computing P Li, Z Xiao, X Wang, K Huang, Y Huang, H Gao IEEE Transactions on Intelligent Vehicles, 2023 | 43 | 2023 |
A dynamic and scalable user-centric route planning algorithm based on polychromatic sets theory P Li, X Wang, H Gao, X Xu, M Iqbal, K Dahal IEEE transactions on intelligent transportation systems 23 (3), 2762-2772, 2021 | 32 | 2021 |
A novel intrusion detection method for internet of things P Li, Y Zhang 2019 Chinese control and decision conference (CCDC), 4761-4765, 2019 | 29 | 2019 |
Research on improved low-energy adaptive clustering hierarchy protocol in wireless sensor networks Y Zhang, P Li, L Mao Journal of Shanghai Jiaotong University (Science) 23, 613-619, 2018 | 17 | 2018 |
Multi-model running latency optimization in an edge computing paradigm P Li, X Wang, K Huang, Y Huang, S Li, M Iqbal Sensors 22 (16), 6097, 2022 | 14 | 2022 |
MACNS: A generic graph neural network integrated deep reinforcement learning based multi-agent collaborative navigation system for dynamic trajectory planning Z Xiao, P Li, C Liu, H Gao, X Wang Information Fusion 105, 102250, 2024 | 13 | 2024 |
Key management scheme based on nodes capture probability for wireless sensor networks Y Zhang, P Li 2018 Chinese Control and Decision Conference (CCDC), 5470-5475, 2018 | 6 | 2018 |
Online monitoring of overhead power lines against tree intrusion via a low-cost camera and mobile edge computing approach P Li, R Qiu, M Wang, X Wang, S Jaffry, M Xu, K Huang, Y Huang Journal of Physics: Conference Series 2422 (1), 012018, 2023 | 3 | 2023 |
Monte Carlo Location Algorithm Based on Model Prediction P Li, Y Zhang, Q Zhang 2018 International Symposium in Sensing and Instrumentation in IoT Era (ISSI …, 2018 | 1 | 2018 |
Reinforcement Learning Based Edge-End Collaboration for Multi-Task Scheduling in 6G Enabled Intelligent Autonomous Transport Systems P Li, Z Xiao, H Gao, X Wang, Y Wang IEEE Transactions on Intelligent Transportation Systems, 2025 | | 2025 |
Graph-Based Proximal Policy Optimization Empowered Adaptive Task Scheduling Leveraging Cloud-Edge Collaboration for Consumer Electronics P Li, M Yi, M Iqbal, X Wang, Z Xiao IEEE Transactions on Consumer Electronics, 2024 | | 2024 |
Multiagent Reinforcement Learning-Based Multimodel Running Latency Optimization in Vehicular Edge Computing Paradigm P Li, Z Xiao, X Wang, M Iqbal, P Casaseca-de-la-Higuera IEEE Systems Journal, 2024 | | 2024 |
保护架空输电线的树障检测方法, 装置, 电子设备及介质 P Li, X Wang, R Qiu, M Xu, M Wang, K Huang | | 2024 |
A Tree Barrier Distance Measurement Method based on the Image Semantic Segmentation of Overhead Transmission Lines Z Wei, P Li, M Wang, X Wang 2024 6th Asia Energy and Electrical Engineering Symposium (AEEES), 48-54, 2024 | | 2024 |
Deep Reinforcement Learning based Energy-efficient Task Scheduling for Vehicular Edge Computing P Li University of Liverpool, 2024 | | 2024 |
Multi-agent Reinforcement Learning Based Collaborative Multi-task Scheduling for Vehicular Edge Computing P Li, Z Xiao, X Wang, K Huang, Y Huang, A Tchernykh International Conference on Collaborative Computing: Networking …, 2023 | | 2023 |