Laisen Nie

发表

A Multitask Learning-Based Network Traffic Prediction Approach for SDN-Enabled Industrial Internet of Things

Shupeng Wang, Zhaolong Ning, Guojun Li, 2022, IEEE Transactions on Industrial Informatics.

Anti-Interference Heartbeat Measurement Based on a Miniaturized Doppler Radar Sensor

Qinyi Lv, Laisen Nie, Deyun Zhou, 2021, Advances in Mathematical Physics.

Intelligent Intrusion Detection for Internet of Things Security: A Deep Convolutional Generative Adversarial Network-Enabled Approach

Shupeng Wang, Zhaolong Ning, Laisen Nie, 2023, IEEE Internet of Things Journal.

Delay-Sensitive Secure NOMA Transmission for Hierarchical HAP–LAP Medical-Care IoT Networks

Gautam Srivastava, Ruonan Zhang, Laisen Nie, 2022, IEEE Transactions on Industrial Informatics.

A Redactable Blockchain Framework for Secure Federated Learning in Industrial Internet of Things

Qianmu Li, K. Yu, K. Choo, 2022, IEEE Internet of Things Journal.

Network Traffic Prediction in Industrial Internet of Things Backbone Networks: A Multitask Learning Mechanism

Mohammad S. Obaidat, Zhaolong Ning, Laisen Nie, 2021, IEEE Transactions on Industrial Informatics.

A NOMA-Enabled Framework for Relay Deployment and Network Optimization in Double-Layer Airborne Access VANETs

K. Kaur, Keping Yu, M. Hassan, 2022, IEEE Transactions on Intelligent Transportation Systems.

Network Traffic Prediction Based on Deep Belief Network in Wireless Mesh Backbone Networks

Shui Yu, Houbing Song, Dingde Jiang, 2017, 2017 IEEE Wireless Communications and Networking Conference (WCNC).

Deep Learning-Based Network Traffic Prediction for Secure Backbone Networks in Internet of Vehicles

Guoyin Wang, Xiaojie Wang, Lei Guo, 2022, ACM Trans. Internet Techn..

Intrusion Detection for Secure Social Internet of Things Based on Collaborative Edge Computing: A Generative Adversarial Network-Based Approach

Lei Guo, Xinbo Gao, Laisen Nie, 2022, IEEE Transactions on Computational Social Systems.

Traffic Measurement Optimization Based on Reinforcement Learning in Large-Scale ITS-Oriented Backbone Networks

Xin Jiang, Laisen Nie, Huizhi Wang, 2020, IEEE Access.

Modeling network traffic for traffic matrix estimation and anomaly detection based on Bayesian network in cloud computing networks

Zhihan Lv, Dingde Jiang, Laisen Nie, 2017, Ann. des Télécommunications.

Spatio-Temporal Network Traffic Estimation and Anomaly Detection Based on Convolutional Neural Network in Vehicular Ad-Hoc Networks

Xiangjie Kong, Laisen Nie, Yongkang Li, 2018, IEEE Access.

Data-Driven Intrusion Detection for Intelligent Internet of Vehicles: A Deep Convolutional Neural Network-Based Method

Zhaolong Ning, Xiping Hu, Laisen Nie, 2020, IEEE Transactions on Network Science and Engineering.

Digital Twin for Transportation Big Data: A Reinforcement Learning-Based Network Traffic Prediction Approach

Li Feng, Qinglin Zhao, Guojun Li, 2023, IEEE Transactions on Intelligent Transportation Systems.

Intrusion Detection in Green Internet of Things: A Deep Deterministic Policy Gradient-Based Algorithm

Zhaolong Ning, Laisen Nie, Joel J. P. C. Rodrigues, 2021, IEEE Transactions on Green Communications and Networking.

A compressive sensing‐based approach to end‐to‐end network traffic reconstruction utilising partial measured origin‐destination flows

Lei Guo, Dingde Jiang, Laisen Nie, 2015, Trans. Emerg. Telecommun. Technol..

Traffic matrix prediction and estimation based on deep learning in large-scale IP backbone networks

Lei Guo, Dingde Jiang, Laisen Nie, 2016, J. Netw. Comput. Appl..

Traffic matrix estimation for IP-over-WDM networks via optical bypass techniques

Lei Guo, Dingde Jiang, Laisen Nie, 2016, China Communications.

A Novel Network Tomography Approach for Traffic Matrix Estimation Problem in Large-Scale IP Backbone Networks

Laisen Nie, Laisen Nie, 2015, 2015 International Conference on Computer Science and Mechanical Automation (CSMA).

Traffic matrix estimation approach based on partial direct measurements in large-scale IP backbone networks

Laisen Nie, Laisen Nie, 2015, 2015 IEEE 5th International Conference on Electronics Information and Emergency Communication.

End-to-End Network Traffic Reconstruction Via Network Tomography Based on Compressive Sensing

Lei Guo, Dingde Jiang, Laisen Nie, 2015, Journal of Network and Systems Management.

A compressive sensing‐based network tomography approach to estimating origin–destination flow traffic in large‐scale backbone networks

Dingde Jiang, Laisen Nie, Dingde Jiang, 2015, Int. J. Commun. Syst..

Blockchain Based IIoT Data Sharing Framework for SDN-Enabled Pervasive Edge Computing

Xiping Hu, Laisen Nie, Ying Gao, 2021, IEEE Transactions on Industrial Informatics.

A Reinforcement Learning-Based Network Traffic Prediction Mechanism in Intelligent Internet of Things

Mohammad S. Obaidat, Zhaolong Ning, Laisen Nie, 2021, IEEE Transactions on Industrial Informatics.

Spatio-Temporal Kronecker Compressive Sensing for Traffic Matrix Recovery

Zhihan Lv, Houbing Song, Dingde Jiang, 2016, IEEE Access.

Traffic Matrix Prediction and Estimation Based on Deep Learning for Data Center Networks

Lei Guo, Houbing Song, Dingde Jiang, 2016, 2016 IEEE Globecom Workshops (GC Wkshps).

Rumors Suppression in Healthcare System: Opinion-Based Comprehensive Learning Particle Swarm Optimization

Yasser D. Al-Otaibi, K. Yu, Qiang He, 2023, IEEE Transactions on Computational Social Systems.

Distributed Orchestration of Service Function Chains for Edge Intelligence in the Industrial Internet of Things

Shupeng Wang, Xiaojie Wang, Zhaolong Ning, 2022, IEEE Transactions on Industrial Informatics.

Network Traffic Prediction for Intelligent Transportation Systems: A Reinforcement Learning Approach

M. Obaidat, Hua Liu, B. Sadoun, 2022, GLOBECOM 2022 - 2022 IEEE Global Communications Conference.

Intrusion Detection for Unmanned Aerial Vehicles Security: A Tiny Machine Learning Model

Long Zhang, Laisen Nie, Yixuan Wu, 2024, IEEE Internet of Things Journal.

A New Motion Parameter Estimation and Relocation Scheme for Airborne Three-Channel CSSAR-GMTI Systems

Guoan Bi, Yongliang Wang, Yongkang Li, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Incremental Update Intrusion Detection for Industry 5.0 Security: A Graph Attention Network-Enabled Approach

B. Sadoun, Zhaolong Ning, Laisen Nie, 2024, IEEE Transactions on Consumer Electronics.