A compressive sensing-based reconstruction approach to network traffic. - Laisen Nie; Dingde Jiang; Zhengzheng Xu (Comput. Electr. Eng., 2013)

A power laws-based reconstruction approach to end-to-end network traffic. - Laisen Nie; Dingde Jiang; Lei Guo 005 (J. Netw. Comput. Appl., 2013)

A reconstructing approach to end-to-end network traffic based on multifractal wavelet model. - Laisen Nie; Dingde Jiang; Lei Guo 005; Zhengzheng Xu (Int. J. Commun. Syst., 2014)

A compressive sensing-based approach to end-to-end network traffic reconstruction utilising partial measured origin-destination flows. - Laisen Nie; Dingde Jiang; Lei Guo 005 (Trans. Emerg. Telecommun. Technol., 2015)

A compressive sensing-based network tomography approach to estimating origin-destination flow traffic in large-scale backbone networks. - Laisen Nie; Dingde Jiang (Int. J. Commun. Syst., 2015)

A convex optimization-based traffic matrix estimation approach in IP-over-WDM backbone networks. - Laisen Nie; Dingde Jiang; Lei Guo 005 (J. Netw. Comput. Appl., 2015)

End-to-End Network Traffic Reconstruction Via Network Tomography Based on Compressive Sensing. - Laisen Nie; Dingde Jiang; Lei Guo 005 (J. Netw. Syst. Manag., 2015)

Traffic Matrix Prediction and Estimation Based on Deep Learning for Data Center Networks. - Laisen Nie; Dingde Jiang; Lei Guo 005; Shui Yu 001; Houbing Song (GLOBECOM Workshops, 2016)

Spatio-Temporal Kronecker Compressive Sensing for Traffic Matrix Recovery. - Dingde Jiang; Laisen Nie; Zhihan Lv; Houbing Song (IEEE Access, 2016)

Traffic matrix prediction and estimation based on deep learning in large-scale IP backbone networks. - Laisen Nie; Dingde Jiang; Lei Guo 005; Shui Yu 001 (J. Netw. Comput. Appl., 2016)

Network Traffic Prediction Based on Deep Belief Network in Wireless Mesh Backbone Networks. - Laisen Nie; Dingde Jiang; Shui Yu 001; Houbing Song (WCNC, 2017)

Modeling network traffic for traffic matrix estimation and anomaly detection based on Bayesian network in cloud computing networks. - Laisen Nie; Dingde Jiang; Zhihan Lv (Ann. des Télécommunications, 2017)

Spatio-Temporal Network Traffic Estimation and Anomaly Detection Based on Convolutional Neural Network in Vehicular Ad-Hoc Networks. - Laisen Nie; Yongkang Li 001; Xiangjie Kong 001 (IEEE Access, 2018)

Network Traffic Prediction Based on Deep Belief Network and Spatiotemporal Compressive Sensing in Wireless Mesh Backbone Networks. - Laisen Nie; Xiaojie Wang 001; Liangtian Wan; Shui Yu 001; Houbing Song; Dingde Jiang (Wirel. Commun. Mob. Comput., 2018)

Anomaly Detection Based on Spatio-Temporal and Sparse Features of Network Traffic in VANETs. - Laisen Nie; Huizhi Wang; Shimin Gong; Zhaolong Ning; Mohammad S. Obaidat; Kuei-Fang Hsiao (GLOBECOM, 2019)

Traffic Measurement Optimization Based on Reinforcement Learning in Large-Scale IP Backbone Networks. - Huizhi Wang; Laisen Nie; Zhaolong Ning; Mohammad S. Obaidat; Runze Shang (GLOBECOM, 2019)

A New Ground Moving Target Imaging Algorithm for High-Resolution Airborne CSSAR-GMTI Systems. - Yongkang Li 001; Laisen Nie (IGARSS, 2019)

An Accurate Imaging and Doppler Chirp Rate Estimation Algorithm for Airborne CSSAR-GMTI Systems. - Yongkang Li 001; Baochang Liu; Lei Wang 115; Hongmeng Chen; Laisen Nie; Lina Zeng; Guoan Bi (IEEE Access, 2019)

Anomaly Detection Based on Spatio-Temporal and Sparse Features of Network Traffic in VANETs. - Laisen Nie; Yixuan Wu; Huizhi Wang; Yongkang Li 001 (IEEE Access, 2019)

A New Motion Parameter Estimation and Relocation Scheme for Airborne Three-Channel CSSAR-GMTI Systems. - Yongkang Li 001; Yongliang Wang; Baochang Liu; Shuang-xi Zhang; Laisen Nie; Guoan Bi (IEEE Trans. Geosci. Remote. Sens., 2019)

Traffic Measurement Optimization Based on Reinforcement Learning in Large-Scale ITS-Oriented Backbone Networks. - Laisen Nie; Huizhi Wang; Xin Jiang 004; Yi Guo 007; Shengtao Li (IEEE Access, 2020)

Data-Driven Intrusion Detection for Intelligent Internet of Vehicles: A Deep Convolutional Neural Network-Based Method. - Laisen Nie; Zhaolong Ning; Xiaojie Wang 001; Xiping Hu; Jun Cheng 002; Yongkang Li 001 (IEEE Trans. Netw. Sci. Eng., 2020)

Imitation-Learning-Enabled Vehicular Edge Computing: Toward Online Task Scheduling. - Laisen Nie; Xiaojie Wang 001; Wentao Sun; Yongkang Li 001; Shengtao Li; Peng Zhang (IEEE Netw., 2021)

A Study on the Range Equation Modeling for Multichannel Medium-Earth-Orbit SAR-GMTI Systems. - Yongkang Li 001; Tong Wang 001; Tianyu Huo; Laisen Nie (Remote. Sens., 2021)

Intrusion Detection in Green Internet of Things: A Deep Deterministic Policy Gradient-Based Algorithm. - Laisen Nie; Wentao Sun; Shupeng Wang; Zhaolong Ning; Joel J. P. C. Rodrigues; Yixuan Wu; Shengtao Li (IEEE Trans. Green Commun. Netw., 2021)

Blockchain Based IIoT Data Sharing Framework for SDN-Enabled Pervasive Edge Computing. - Ying Gao 004; Yijian Chen; Xiping Hu; Hongliang Lin; Yangliang Liu; Laisen Nie (IEEE Trans. Ind. Informatics, 2021)

A Reinforcement Learning-Based Network Traffic Prediction Mechanism in Intelligent Internet of Things. - Laisen Nie; Zhaolong Ning; Mohammad S. Obaidat; Balqies Sadoun; Huizhi Wang; Shengtao Li; Lei Guo 005; Guoyin Wang 001 (IEEE Trans. Ind. Informatics, 2021)

Network Traffic Prediction in Industrial Internet of Things Backbone Networks: A Multitask Learning Mechanism. - Laisen Nie; Xiaojie Wang 001; Shupeng Wang; Zhaolong Ning; Mohammad S. Obaidat; Balqies Sadoun; Shengtao Li (IEEE Trans. Ind. Informatics, 2021)

Network Traffic Prediction for Intelligent Transportation Systems: A Reinforcement Learning Approach. - Jian Song; Hua Liu; Laisen Nie; Zhaolong Ning; Mohammad S. Obaidat; Balqies Sadoun (GLOBECOM, 2022)

A Redactable Blockchain Framework for Secure Federated Learning in Industrial Internet of Things. - Jiannan Wei; Qinchuan Zhu; Qianmu Li; Laisen Nie; Zhangyi Shen; Kim-Kwang Raymond Choo; Keping Yu (IEEE Internet Things J., 2022)

Intrusion Detection for Secure Social Internet of Things Based on Collaborative Edge Computing: A Generative Adversarial Network-Based Approach. - Laisen Nie; Yixuan Wu; Xiaojie Wang 001; Lei Guo 005; Guoyin Wang 001; Xinbo Gao 001; Shengtao Li (IEEE Trans. Comput. Soc. Syst., 2022)

Distributed Orchestration of Service Function Chains for Edge Intelligence in the Industrial Internet of Things. - Handi Chen; Shupeng Wang; Guojun Li; Laisen Nie; Xiaojie Wang 001; Zhaolong Ning (IEEE Trans. Ind. Informatics, 2022)

Delay-Sensitive Secure NOMA Transmission for Hierarchical HAP-LAP Medical-Care IoT Networks. - Dawei Wang 001; Yixin He 001; Keping Yu; Gautam Srivastava 001; Laisen Nie; Ruonan Zhang 001 (IEEE Trans. Ind. Informatics, 2022)

A Multitask Learning-Based Network Traffic Prediction Approach for SDN-Enabled Industrial Internet of Things. - Shupeng Wang; Laisen Nie; Guojun Li; Yixuan Wu; Zhaolong Ning (IEEE Trans. Ind. Informatics, 2022)

A NOMA-Enabled Framework for Relay Deployment and Network Optimization in Double-Layer Airborne Access VANETs. - Yixin He 001; Laisen Nie; Tan Guo; Kuljeet Kaur; Mohammad Mehedi Hassan; Keping Yu (IEEE Trans. Intell. Transp. Syst., 2022)

Deep Learning-Based Network Traffic Prediction for Secure Backbone Networks in Internet of Vehicles. - Xiaojie Wang 001; Laisen Nie; Zhaolong Ning; Lei Guo 005; Guoyin Wang 001; Xinbo Gao 001; Neeraj Kumar 001 (ACM Trans. Internet Techn., 2022)

Intelligent Intrusion Detection for Internet of Things Security: A Deep Convolutional Generative Adversarial Network-Enabled Approach. - Yixuan Wu; Laisen Nie; Shupeng Wang; Zhaolong Ning; Shengtao Li (IEEE Internet Things J., 2023)

Rumors Suppression in Healthcare System: Opinion-Based Comprehensive Learning Particle Swarm Optimization. - Qiang He 002; Wei Qiao; Ali Kashif Bashir; Yuliang Cai; Laisen Nie; Yasser D. Al-Otaibi; Keping Yu (IEEE Trans. Comput. Soc. Syst., 2023)

A Federated Learning Mechanism with Feature Drift for Feature Distribution Skew. - Jihao Yang; Xinyang Deng; Laisen Nie; Wen Jiang 002 (FUSION, 2024)

Hypernetworks-Based Hierarchical Federated Learning on Hybrid Non-IID Datasets for Digital Twin in Industrial IoT. - Jihao Yang; Wen Jiang 002; Laisen Nie (IEEE Trans. Netw. Sci. Eng., 2024)

Digital Twin for Transportation Big Data: A Reinforcement Learning-Based Network Traffic Prediction Approach. - Laisen Nie; Xiaojie Wang 001; Qinglin Zhao; Zhigang Shang; Li Feng 001; Guojun Li (IEEE Trans. Intell. Transp. Syst., 2024)

Incremental Update Intrusion Detection for Industry 5.0 Security: A Graph Attention Network-Enabled Approach. - Yixuan Wu; Laisen Nie; Xuanrui Xiong; Balqies Sadoun; Lin Yang; Zhaolong Ning (IEEE Trans. Consumer Electron., 2024)

Intrusion Detection for Unmanned Aerial Vehicles Security: A Tiny Machine Learning Model. - Yixuan Wu; Lin Yang; Long Zhang 004; Laisen Nie; Li Zheng (IEEE Internet Things J., 2024)