Laisen Nie

45 papers B 4C 2Journal 38Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Decentralized federated learning based on bivariate controlled averaging and sharpness aware minimization.
Expert Syst. Appl.
Jihao Yang, Wen Jiang, Laisen Nie
2026 J jnl
Federated Learning With Drift Correction and Convergence Acceleration.
IEEE Internet Things J.
Jihao Yang, Lin Yang, Wen Jiang, Laisen Nie
2024 C conf
A Federated Learning Mechanism with Feature Drift for Feature Distribution Skew.
FUSION
Jihao Yang, Xinyang Deng, Laisen Nie, Wen Jiang
2024 J jnl
Digital Twin for Transportation Big Data: A Reinforcement Learning-Based Network Traffic Prediction Approach.
IEEE Trans. Intell. Transp. Syst.
Laisen Nie, Xiaojie Wang, Qinglin Zhao, Zhigang Shang, Li Feng, Guojun Li
2024 J jnl
Hypernetworks-Based Hierarchical Federated Learning on Hybrid Non-IID Datasets for Digital Twin in Industrial IoT.
IEEE Trans. Netw. Sci. Eng.
Jihao Yang, Wen Jiang, Laisen Nie
2024 J jnl
Incremental Update Intrusion Detection for Industry 5.0 Security: A Graph Attention Network-Enabled Approach.
IEEE Trans. Consumer Electron.
Yixuan Wu, Laisen Nie, Xuanrui Xiong, Balqies Sadoun, Lin Yang, Zhaolong Ning
2024 J jnl
Intrusion Detection for Unmanned Aerial Vehicles Security: A Tiny Machine Learning Model.
IEEE Internet Things J.
Yixuan Wu, Lin Yang, Long Zhang, Laisen Nie, Li Zheng
2023 J jnl
Intelligent Intrusion Detection for Internet of Things Security: A Deep Convolutional Generative Adversarial Network-Enabled Approach.
IEEE Internet Things J.
Yixuan Wu, Laisen Nie, Shupeng Wang, Zhaolong Ning, Shengtao Li
2023 J jnl
Rumors Suppression in Healthcare System: Opinion-Based Comprehensive Learning Particle Swarm Optimization.
IEEE Trans. Comput. Soc. Syst.
Qiang He, Wei Qiao, Ali Kashif Bashir, Yuliang Cai, Laisen Nie, Yasser D. Al-Otaibi, Keping Yu
2022 J jnl
A Multitask Learning-Based Network Traffic Prediction Approach for SDN-Enabled Industrial Internet of Things.
IEEE Trans. Ind. Informatics
Shupeng Wang, Laisen Nie, Guojun Li, Yixuan Wu, Zhaolong Ning
2022 J jnl
A NOMA-Enabled Framework for Relay Deployment and Network Optimization in Double-Layer Airborne Access VANETs.
IEEE Trans. Intell. Transp. Syst.
Yixin He, Laisen Nie, Tan Guo, Kuljeet Kaur, Mohammad Mehedi Hassan, Keping Yu
2022 J jnl
A Redactable Blockchain Framework for Secure Federated Learning in Industrial Internet of Things.
IEEE Internet Things J.
Jiannan Wei, Qinchuan Zhu, Qianmu Li, Laisen Nie, Zhangyi Shen, Kim-Kwang Raymond Choo, Keping Yu
2022 J jnl
Deep Learning-Based Network Traffic Prediction for Secure Backbone Networks in Internet of Vehicles.
ACM Trans. Internet Techn.
Xiaojie Wang, Laisen Nie, Zhaolong Ning, Lei Guo, Guoyin Wang, Xinbo Gao, Neeraj Kumar
2022 J jnl
Delay-Sensitive Secure NOMA Transmission for Hierarchical HAP-LAP Medical-Care IoT Networks.
IEEE Trans. Ind. Informatics
Dawei Wang, Yixin He, Keping Yu, Gautam Srivastava, Laisen Nie, Ruonan Zhang
2022 J jnl
Distributed Orchestration of Service Function Chains for Edge Intelligence in the Industrial Internet of Things.
IEEE Trans. Ind. Informatics
Handi Chen, Shupeng Wang, Guojun Li, Laisen Nie, Xiaojie Wang, Zhaolong Ning
2022 J jnl
Intrusion Detection for Secure Social Internet of Things Based on Collaborative Edge Computing: A Generative Adversarial Network-Based Approach.
IEEE Trans. Comput. Soc. Syst.
Laisen Nie, Yixuan Wu, Xiaojie Wang, Lei Guo, Guoyin Wang, Xinbo Gao, Shengtao Li
2022 B conf
Network Traffic Prediction for Intelligent Transportation Systems: A Reinforcement Learning Approach.
GLOBECOM
Jian Song, Hua Liu, Laisen Nie, Zhaolong Ning, Mohammad S. Obaidat, Balqies Sadoun
2021 J jnl
A Reinforcement Learning-Based Network Traffic Prediction Mechanism in Intelligent Internet of Things.
IEEE Trans. Ind. Informatics
Laisen Nie, Zhaolong Ning, Mohammad S. Obaidat, Balqies Sadoun, Huizhi Wang, Shengtao Li, Lei Guo, Guoyin Wang
2021 J jnl
A Study on the Range Equation Modeling for Multichannel Medium-Earth-Orbit SAR-GMTI Systems.
Remote. Sens.
Yongkang Li, Tong Wang, Tianyu Huo, Laisen Nie
2021 J jnl
Blockchain Based IIoT Data Sharing Framework for SDN-Enabled Pervasive Edge Computing.
IEEE Trans. Ind. Informatics
Ying Gao, Yijian Chen, Xiping Hu, Hongliang Lin, Yangliang Liu, Laisen Nie
2021 J jnl
Imitation-Learning-Enabled Vehicular Edge Computing: Toward Online Task Scheduling.
IEEE Netw.
Laisen Nie, Xiaojie Wang, Wentao Sun, Yongkang Li, Shengtao Li, Peng Zhang
2021 J jnl
Intrusion Detection in Green Internet of Things: A Deep Deterministic Policy Gradient-Based Algorithm.
IEEE Trans. Green Commun. Netw.
Laisen Nie, Wentao Sun, Shupeng Wang, Zhaolong Ning, Joel J. P. C. Rodrigues, Yixuan Wu, Shengtao Li
2021 J jnl
Network Traffic Prediction in Industrial Internet of Things Backbone Networks: A Multitask Learning Mechanism.
IEEE Trans. Ind. Informatics
Laisen Nie, Xiaojie Wang, Shupeng Wang, Zhaolong Ning, Mohammad S. Obaidat, Balqies Sadoun, Shengtao Li
2020 J jnl
Data-Driven Intrusion Detection for Intelligent Internet of Vehicles: A Deep Convolutional Neural Network-Based Method.
IEEE Trans. Netw. Sci. Eng.
Laisen Nie, Zhaolong Ning, Xiaojie Wang, Xiping Hu, Jun Cheng, Yongkang Li
2020 J jnl
Traffic Measurement Optimization Based on Reinforcement Learning in Large-Scale ITS-Oriented Backbone Networks.
IEEE Access
Laisen Nie, Huizhi Wang, Xin Jiang, Yi Guo, Shengtao Li
2019 C conf
A New Ground Moving Target Imaging Algorithm for High-Resolution Airborne CSSAR-GMTI Systems.
IGARSS
Yongkang Li, Laisen Nie
2019 J jnl
A New Motion Parameter Estimation and Relocation Scheme for Airborne Three-Channel CSSAR-GMTI Systems.
IEEE Trans. Geosci. Remote. Sens.
Yongkang Li, Yongliang Wang, Baochang Liu, Shuang-xi Zhang, Laisen Nie, Guoan Bi
2019 J jnl
An Accurate Imaging and Doppler Chirp Rate Estimation Algorithm for Airborne CSSAR-GMTI Systems.
IEEE Access
Yongkang Li, Baochang Liu, Lei Wang, Hongmeng Chen, Laisen Nie, Lina Zeng, Guoan Bi
2019 B conf
Anomaly Detection Based on Spatio-Temporal and Sparse Features of Network Traffic in VANETs.
GLOBECOM
Laisen Nie, Huizhi Wang, Shimin Gong, Zhaolong Ning, Mohammad S. Obaidat, Kuei-Fang Hsiao
2019 J jnl
Anomaly Detection Based on Spatio-Temporal and Sparse Features of Network Traffic in VANETs.
IEEE Access
Laisen Nie, Yixuan Wu, Huizhi Wang, Yongkang Li
2019 B conf
Traffic Measurement Optimization Based on Reinforcement Learning in Large-Scale IP Backbone Networks.
GLOBECOM
Huizhi Wang, Laisen Nie, Zhaolong Ning, Mohammad S. Obaidat, Runze Shang
2018 J jnl
Network Traffic Prediction Based on Deep Belief Network and Spatiotemporal Compressive Sensing in Wireless Mesh Backbone Networks.
Wirel. Commun. Mob. Comput.
Laisen Nie, Xiaojie Wang, Liangtian Wan, Shui Yu, Houbing Song, Dingde Jiang
2018 J jnl
Spatio-Temporal Network Traffic Estimation and Anomaly Detection Based on Convolutional Neural Network in Vehicular Ad-Hoc Networks.
IEEE Access
Laisen Nie, Yongkang Li, Xiangjie Kong
2017 J jnl
Modeling network traffic for traffic matrix estimation and anomaly detection based on Bayesian network in cloud computing networks.
Ann. des Télécommunications
Laisen Nie, Dingde Jiang, Zhihan Lv
2017 B conf
Network Traffic Prediction Based on Deep Belief Network in Wireless Mesh Backbone Networks.
WCNC
Laisen Nie, Dingde Jiang, Shui Yu, Houbing Song
2016 J jnl
Spatio-Temporal Kronecker Compressive Sensing for Traffic Matrix Recovery.
IEEE Access
Dingde Jiang, Laisen Nie, Zhihan Lv, Houbing Song
2016 — conf
Traffic Matrix Prediction and Estimation Based on Deep Learning for Data Center Networks.
GLOBECOM Workshops
Laisen Nie, Dingde Jiang, Lei Guo, Shui Yu, Houbing Song
2016 J jnl
Traffic matrix prediction and estimation based on deep learning in large-scale IP backbone networks.
J. Netw. Comput. Appl.
Laisen Nie, Dingde Jiang, Lei Guo, Shui Yu
2015 J jnl
A compressive sensing-based approach to end-to-end network traffic reconstruction utilising partial measured origin-destination flows.
Trans. Emerg. Telecommun. Technol.
Laisen Nie, Dingde Jiang, Lei Guo
2015 J jnl
A compressive sensing-based network tomography approach to estimating origin-destination flow traffic in large-scale backbone networks.
Int. J. Commun. Syst.
Laisen Nie, Dingde Jiang
2015 J jnl
A convex optimization-based traffic matrix estimation approach in IP-over-WDM backbone networks.
J. Netw. Comput. Appl.
Laisen Nie, Dingde Jiang, Lei Guo
2015 J jnl
End-to-End Network Traffic Reconstruction Via Network Tomography Based on Compressive Sensing.
J. Netw. Syst. Manag.
Laisen Nie, Dingde Jiang, Lei Guo
2014 J jnl
A reconstructing approach to end-to-end network traffic based on multifractal wavelet model.
Int. J. Commun. Syst.
Laisen Nie, Dingde Jiang, Lei Guo, Zhengzheng Xu
2013 J jnl
A compressive sensing-based reconstruction approach to network traffic.
Comput. Electr. Eng.
Laisen Nie, Dingde Jiang, Zhengzheng Xu
2013 J jnl
A power laws-based reconstruction approach to end-to-end network traffic.
J. Netw. Comput. Appl.
Laisen Nie, Dingde Jiang, Lei Guo