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Laisen Nie
ORCID
Publication Activity (10 Years)
Years Active: 2013-2024
Publications (10 Years): 35
Top Topics
Intrusion Detection
Reinforcement Learning
Incremental Update
Network Traffic
Top Venues
IEEE Trans. Ind. Informatics
IEEE Access
IEEE Internet Things J.
GLOBECOM
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Publications
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Yixuan Wu
,
Lin Yang
,
Long Zhang
,
Laisen Nie
,
Li Zheng
Intrusion Detection for Unmanned Aerial Vehicles Security: A Tiny Machine Learning Model.
IEEE Internet Things J.
11 (12) (2024)
Laisen Nie
,
Xiaojie Wang
,
Qinglin Zhao
,
Zhigang Shang
,
Li Feng
,
Guojun Li
Digital Twin for Transportation Big Data: A Reinforcement Learning-Based Network Traffic Prediction Approach.
IEEE Trans. Intell. Transp. Syst.
25 (1) (2024)
Yixuan Wu
,
Laisen Nie
,
Xuanrui Xiong
,
Balqies Sadoun
,
Lin Yang
,
Zhaolong Ning
Incremental Update Intrusion Detection for Industry 5.0 Security: A Graph Attention Network-Enabled Approach.
IEEE Trans. Consumer Electron.
70 (1) (2024)
Jihao Yang
,
Wen Jiang
,
Laisen Nie
Hypernetworks-Based Hierarchical Federated Learning on Hybrid Non-IID Datasets for Digital Twin in Industrial IoT.
IEEE Trans. Netw. Sci. Eng.
11 (2) (2024)
Qiang He
,
Wei Qiao
,
Ali Kashif Bashir
,
Yuliang Cai
,
Laisen Nie
,
Yasser D. Al-Otaibi
,
Keping Yu
Rumors Suppression in Healthcare System: Opinion-Based Comprehensive Learning Particle Swarm Optimization.
IEEE Trans. Comput. Soc. Syst.
10 (4) (2023)
Yixuan Wu
,
Laisen Nie
,
Shupeng Wang
,
Zhaolong Ning
,
Shengtao Li
Intelligent Intrusion Detection for Internet of Things Security: A Deep Convolutional Generative Adversarial Network-Enabled Approach.
IEEE Internet Things J.
10 (4) (2023)
Xiaojie Wang
,
Laisen Nie
,
Zhaolong Ning
,
Lei Guo
,
Guoyin Wang
,
Xinbo Gao
,
Neeraj Kumar
Deep Learning-Based Network Traffic Prediction for Secure Backbone Networks in Internet of Vehicles.
ACM Trans. Internet Techn.
22 (4) (2022)
Jiannan Wei
,
Qinchuan Zhu
,
Qianmu Li
,
Laisen Nie
,
Zhangyi Shen
,
Kim-Kwang Raymond Choo
,
Keping Yu
A Redactable Blockchain Framework for Secure Federated Learning in Industrial Internet of Things.
IEEE Internet Things J.
9 (18) (2022)
Laisen Nie
,
Yixuan Wu
,
Xiaojie Wang
,
Lei Guo
,
Guoyin Wang
,
Xinbo Gao
,
Shengtao Li
Intrusion Detection for Secure Social Internet of Things Based on Collaborative Edge Computing: A Generative Adversarial Network-Based Approach.
IEEE Trans. Comput. Soc. Syst.
9 (1) (2022)
Handi Chen
,
Shupeng Wang
,
Guojun Li
,
Laisen Nie
,
Xiaojie Wang
,
Zhaolong Ning
Distributed Orchestration of Service Function Chains for Edge Intelligence in the Industrial Internet of Things.
IEEE Trans. Ind. Informatics
18 (9) (2022)
Yixin He
,
Laisen Nie
,
Tan Guo
,
Kuljeet Kaur
,
Mohammad Mehedi Hassan
,
Keping Yu
A NOMA-Enabled Framework for Relay Deployment and Network Optimization in Double-Layer Airborne Access VANETs.
IEEE Trans. Intell. Transp. Syst.
23 (11) (2022)
Jian Song
,
Hua Liu
,
Laisen Nie
,
Zhaolong Ning
,
Mohammad S. Obaidat
,
Balqies Sadoun
Network Traffic Prediction for Intelligent Transportation Systems: A Reinforcement Learning Approach.
GLOBECOM
(2022)
Dawei Wang
,
Yixin He
,
Keping Yu
,
Gautam Srivastava
,
Laisen Nie
,
Ruonan Zhang
Delay-Sensitive Secure NOMA Transmission for Hierarchical HAP-LAP Medical-Care IoT Networks.
IEEE Trans. Ind. Informatics
18 (8) (2022)
Shupeng Wang
,
Laisen Nie
,
Guojun Li
,
Yixuan Wu
,
Zhaolong Ning
A Multitask Learning-Based Network Traffic Prediction Approach for SDN-Enabled Industrial Internet of Things.
IEEE Trans. Ind. Informatics
18 (11) (2022)
Laisen Nie
,
Xiaojie Wang
,
Shupeng Wang
,
Zhaolong Ning
,
Mohammad S. Obaidat
,
Balqies Sadoun
,
Shengtao Li
Network Traffic Prediction in Industrial Internet of Things Backbone Networks: A Multitask Learning Mechanism.
IEEE Trans. Ind. Informatics
17 (10) (2021)
Ying Gao
,
Yijian Chen
,
Xiping Hu
,
Hongliang Lin
,
Yangliang Liu
,
Laisen Nie
Blockchain Based IIoT Data Sharing Framework for SDN-Enabled Pervasive Edge Computing.
IEEE Trans. Ind. Informatics
17 (7) (2021)
Laisen Nie
,
Zhaolong Ning
,
Mohammad S. Obaidat
,
Balqies Sadoun
,
Huizhi Wang
,
Shengtao Li
,
Lei Guo
,
Guoyin Wang
A Reinforcement Learning-Based Network Traffic Prediction Mechanism in Intelligent Internet of Things.
IEEE Trans. Ind. Informatics
17 (3) (2021)
Yongkang Li
,
Tong Wang
,
Tianyu Huo
,
Laisen Nie
A Study on the Range Equation Modeling for Multichannel Medium-Earth-Orbit SAR-GMTI Systems.
Remote. Sens.
13 (14) (2021)
Laisen Nie
,
Wentao Sun
,
Shupeng Wang
,
Zhaolong Ning
,
Joel J. P. C. Rodrigues
,
Yixuan Wu
,
Shengtao Li
Intrusion Detection in Green Internet of Things: A Deep Deterministic Policy Gradient-Based Algorithm.
IEEE Trans. Green Commun. Netw.
5 (2) (2021)
Laisen Nie
,
Xiaojie Wang
,
Wentao Sun
,
Yongkang Li
,
Shengtao Li
,
Peng Zhang
Imitation-Learning-Enabled Vehicular Edge Computing: Toward Online Task Scheduling.
IEEE Netw.
35 (3) (2021)
Laisen Nie
,
Zhaolong Ning
,
Xiaojie Wang
,
Xiping Hu
,
Jun Cheng
,
Yongkang Li
Data-Driven Intrusion Detection for Intelligent Internet of Vehicles: A Deep Convolutional Neural Network-Based Method.
IEEE Trans. Netw. Sci. Eng.
7 (4) (2020)
Laisen Nie
,
Huizhi Wang
,
Xin Jiang
,
Yi Guo
,
Shengtao Li
Traffic Measurement Optimization Based on Reinforcement Learning in Large-Scale ITS-Oriented Backbone Networks.
IEEE Access
8 (2020)
Yongkang Li
,
Laisen Nie
A New Ground Moving Target Imaging Algorithm for High-Resolution Airborne CSSAR-GMTI Systems.
IGARSS
(2019)
Yongkang Li
,
Yongliang Wang
,
Baochang Liu
,
Shuang-xi Zhang
,
Laisen Nie
,
Guoan Bi
A New Motion Parameter Estimation and Relocation Scheme for Airborne Three-Channel CSSAR-GMTI Systems.
IEEE Trans. Geosci. Remote. Sens.
57 (6) (2019)
Yongkang Li
,
Baochang Liu
,
Lei Wang
,
Hongmeng Chen
,
Laisen Nie
,
Lina Zeng
,
Guoan Bi
An Accurate Imaging and Doppler Chirp Rate Estimation Algorithm for Airborne CSSAR-GMTI Systems.
IEEE Access
7 (2019)
Huizhi Wang
,
Laisen Nie
,
Zhaolong Ning
,
Mohammad S. Obaidat
,
Runze Shang
Traffic Measurement Optimization Based on Reinforcement Learning in Large-Scale IP Backbone Networks.
GLOBECOM
(2019)
Laisen Nie
,
Huizhi Wang
,
Shimin Gong
,
Zhaolong Ning
,
Mohammad S. Obaidat
,
Kuei-Fang Hsiao
Anomaly Detection Based on Spatio-Temporal and Sparse Features of Network Traffic in VANETs.
GLOBECOM
(2019)
Laisen Nie
,
Yixuan Wu
,
Huizhi Wang
,
Yongkang Li
Anomaly Detection Based on Spatio-Temporal and Sparse Features of Network Traffic in VANETs.
IEEE Access
7 (2019)
Laisen Nie
,
Yongkang Li
,
Xiangjie Kong
Spatio-Temporal Network Traffic Estimation and Anomaly Detection Based on Convolutional Neural Network in Vehicular Ad-Hoc Networks.
IEEE Access
6 (2018)
Laisen Nie
,
Xiaojie Wang
,
Liangtian Wan
,
Shui Yu
,
Houbing Song
,
Dingde Jiang
Network Traffic Prediction Based on Deep Belief Network and Spatiotemporal Compressive Sensing in Wireless Mesh Backbone Networks.
Wirel. Commun. Mob. Comput.
2018 (2018)
Laisen Nie
,
Dingde Jiang
,
Zhihan Lv
Modeling network traffic for traffic matrix estimation and anomaly detection based on Bayesian network in cloud computing networks.
Ann. des Télécommunications
72 (5-6) (2017)
Laisen Nie
,
Dingde Jiang
,
Shui Yu
,
Houbing Song
Network Traffic Prediction Based on Deep Belief Network in Wireless Mesh Backbone Networks.
WCNC
(2017)
Laisen Nie
,
Dingde Jiang
,
Lei Guo
,
Shui Yu
Traffic matrix prediction and estimation based on deep learning in large-scale IP backbone networks.
J. Netw. Comput. Appl.
76 (2016)
Dingde Jiang
,
Laisen Nie
,
Zhihan Lv
,
Houbing Song
Spatio-Temporal Kronecker Compressive Sensing for Traffic Matrix Recovery.
IEEE Access
4 (2016)
Laisen Nie
,
Dingde Jiang
,
Lei Guo
,
Shui Yu
,
Houbing Song
Traffic Matrix Prediction and Estimation Based on Deep Learning for Data Center Networks.
GLOBECOM Workshops
(2016)
Laisen Nie
,
Dingde Jiang
,
Lei Guo
End-to-End Network Traffic Reconstruction Via Network Tomography Based on Compressive Sensing.
J. Netw. Syst. Manag.
23 (3) (2015)
Laisen Nie
,
Dingde Jiang
,
Lei Guo
A convex optimization-based traffic matrix estimation approach in IP-over-WDM backbone networks.
J. Netw. Comput. Appl.
50 (2015)
Laisen Nie
,
Dingde Jiang
A compressive sensing-based network tomography approach to estimating origin-destination flow traffic in large-scale backbone networks.
Int. J. Commun. Syst.
28 (5) (2015)
Laisen Nie
,
Dingde Jiang
,
Lei Guo
A compressive sensing-based approach to end-to-end network traffic reconstruction utilising partial measured origin-destination flows.
Trans. Emerg. Telecommun. Technol.
26 (8) (2015)
Laisen Nie
,
Dingde Jiang
,
Lei Guo
,
Zhengzheng Xu
A reconstructing approach to end-to-end network traffic based on multifractal wavelet model.
Int. J. Commun. Syst.
27 (12) (2014)
Laisen Nie
,
Dingde Jiang
,
Zhengzheng Xu
A compressive sensing-based reconstruction approach to network traffic.
Comput. Electr. Eng.
39 (5) (2013)
Laisen Nie
,
Dingde Jiang
,
Lei Guo
A power laws-based reconstruction approach to end-to-end network traffic.
J. Netw. Comput. Appl.
36 (2) (2013)