Peisong Li

Peisong Li

Working hard to be lucky.

Peisong Li’s Academic Homepage

Peisong Li (李培嵩)

PhD

Xi’an Jiaotong-Liverpool University

Email:

  • peisong.li20@student.xjtlu.edu.cn
  • peisong.li68@qq.com

Research interests:

  • Edge Computing
  • Vehicular Edge Computing
  • Edge AI
  • Deep Reinforcement Learning (DRL)
  • Vehicular Network
  • AI (Artificial Intelligence)
  • Internet of Things (IoT)

Publications:

Journal

Peisong Li, Ziren Xiao, Xinheng Wang, Muddesar Iqbal, and Pablo Casaseca. “Multi-agent Reinforcement Learning based Multi-model Running Latency Optimization in Vehicular Edge Computing Paradigm.” IEEE Systems Journal. (Accepted)

Peisong Li, Ziren Xiao, Xinheng Wang, Kaizhu Huang, Yi Huang, and Honghao Gao. “EPtask: Deep Reinforcement Learning based Energy-efficient and Priority-aware Task Scheduling for Dynamic Vehicular Edge Computing.” IEEE Transactions on Intelligent Vehicles, 2023. (JCR Q1, IF=8.2)

Peisong Li, Xinheng Wang, Honghao Gao, Xiaolong Xu, Muddesar Iqbal, and Keshav Dahal. “A dynamic and scalable user-centric route planning algorithm based on polychromatic sets theory.” *IEEE Transactions on Intelligent Transportation Systems, 23, no. 3 (2021): 2762-2772. (JCR Q1, TOP, IF=8.5)

Peisong Li, Xinheng Wang, Kaizhu Huang, Yi Huang, Shancang Li, and Muddesar Iqbal. “Multi-model running latency optimization in an edge computing paradigm.” *Sensors, 22, no. 16 (2022): 6097. (JCR Q2, IF=3.9)

Ziren Xiao, Peisong Li, Chang Liu, Honghao Gao, and Xinheng Wang. “MACNS: A Generic Graph Neural Network Integrated Deep Reinforcement Learning Based Multi-Agent Collaborative Navigation System For Dynamic Trajectory Planning.” Information Fusion, 2024. (JCR Q1 TOP, IF=18.6)

Zhang, Ying, Peisong Li, and Xinheng Wang. “Intrusion detection for IoT based on improved genetic algorithm and deep belief network.” *IEEE Access, 7 (2019): 31711-31722. (Cited: 301, JCR Q2, IF=3.9)

Zhang, Ying, Peisong Li, and Lin Mao. “Research on improved low-energy adaptive clustering hierarchy protocol in wireless sensor networks.” *Journal of Shanghai Jiaotong University (Science), 23 (2018): 613-619.

Conference

Zixiang Wei, Peisong Li, Minzhen Wang, and Xinheng Wang. “A Tree Barrier Distance Measurement Method based on the Image Semantic Segmentation of Overhead Transmission Lines.” In 2024 6th Asia Energy and Electrical Engineering Symposium (AEEES).

Peisong Li, Ziren Xiao, Xinheng Wang, Kaizhu Huang, Yi Huang, and Andrei Tchernykh. “Multi-agent Reinforcement Learning based Collaborative Multi-task Scheduling for Vehicular Edge Computing.” In *EAI CollaborateCom 2023. (CCF-C)

Peisong Li, Rui Qiu, Minzhen Wang, Xinheng Wang, Shan Jaffry, Ming Xu, Kaizhu Huang, and Yi Huang. “Online Monitoring of Overhead Power Lines Against Tree Intrusion via a Low-cost Camera and Mobile Edge Computing Approach.” In *Journal of Physics: Conference Series, vol. 2422, no. 1, p. 012018. IOP Publishing, 2023.

Peisong Li, and Ying Zhang. “A novel intrusion detection method for internet of things.” In *2019 Chinese control and decision conference (CCDC), pp. 4761-4765. IEEE, 2019.

Zhang, Ying, and Peisong Li. “Key management scheme based on nodes capture probability for wireless sensor networks.” In 2018 Chinese Control and Decision Conference (CCDC), pp. 5470-5475. IEEE, 2018.

Peisong Li, Ying Zhang, and Qiman Zhang. “Monte Carlo Location Algorithm Based on Model Prediction.” In 2018 International Symposium in Sensing and Instrumentation in IoT Era (ISSI), pp. 1-5. IEEE, 2018.

Under review

Peisong Li, Ziren Xiao, Honghao Gao, Xinheng Wang, and Saba AI-Rubaye. “Large Models based Safety-oriented Multi-task Scheduling for Autonomous Driving in Vehicular Edge Computing Paradigm.” IEEE Transactions on Vehicular Technology. (Under review)

Peisong Li, et al. “Deep Reinforcement Learning-based Task Scheduling and Resource Allocation for Vehicular Edge Computing: A Survey.” IEEE Transactions on Intelligent Vehicles. (Major revision)

Peisong Li, Meng Yi, Muddesar Iqbal, Xinheng Wang, and Ziren Xiao. “Graph-based Proximal Policy Optimization Empowered Adaptive Task Scheduling Leveraging Cloud-edge Collaboration for Consumer Electronics.” IEEE Transactions on Consumer Electronics. (Under review)

专利 (Patents):

授权 (Granted)

李培嵩; 王新珩; 邱睿; 许铭; 王敏珍; 黄开竹。保护架空输电线的树障检测方法、装置、电子设备及介质，公开号：ZL 202110423887.5

李培嵩; 王新珩; 许铭; 王敏珍。一种树木和架空输电线的空间测距方法以及系统，专利号：ZL 202210093387.4

李培嵩; 王碧瑶; 王新珩; 玛德塞·伊克巴尔; 凯沙夫·达哈尔; 王智; 黄开竹。一种以用户的偏好为核心的路径规划和导航的方法及系统，专利号：ZL 201910407738.2

张颖；李培嵩。一种网络入侵检测模型建立方法及网络入侵检测方法，专利号：ZL 201910016149.1

实审

王新珩; 陈志昂; 李沐云; 王若愚; 孙文卓; 李培嵩。呼吸异常分类模型的训练、呼吸异常检测方法及电子设备，公开号：CN114333901A

王新珩; 王宇琛; 李培嵩; 张进华。基于数字孪生的针对机器视觉训练的虚拟软测方法及系统，公开号：CN115937724A

软件著作权 (Copyrights):

  • 软件名称：基于用户位置信息的多用户实时位置共享与智能导航的应用软件。 著作权人：李培嵩 登记号：2020SR0185419

  • 软件名称：基于呼吸声音检测新冠疾病的手机应用软件。 著作权人：Xinheng Wang；李沐云；陈志昂；王若愚；孙文卓；李培嵩 登记号：2021SR2212461

获奖 (Awards):

2020

博士研究生全额奖学金。

2020届上海市普通高等学校优秀毕业生称号。

2019

上海海事大学研究生学业奖学金一等奖。

2018

硕士研究生国家奖学金