default search action
Laisen Nie
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j36]Yixuan Wu
, Lin Yang
Intrusion Detection for Unmanned Aerial Vehicles Security: A Tiny Machine Learning Model. IEEE Internet Things J. 11(12): 20970-20982 (2024) - [j35]Yixuan Wu
Incremental Update Intrusion Detection for Industry 5.0 Security: A Graph Attention Network-Enabled Approach. IEEE Trans. Consumer Electron. 70(1): 2004-2017 (2024) - [j34]Laisen Nie
Digital Twin for Transportation Big Data: A Reinforcement Learning-Based Network Traffic Prediction Approach. IEEE Trans. Intell. Transp. Syst. 25(1): 896-906 (2024) - [j33]Jihao Yang
Hypernetworks-Based Hierarchical Federated Learning on Hybrid Non-IID Datasets for Digital Twin in Industrial IoT. IEEE Trans. Netw. Sci. Eng. 11(2): 1413-1423 (2024) - [c7]Jihao Yang, Xinyang Deng, Laisen Nie, Wen Jiang:
A Federated Learning Mechanism with Feature Drift for Feature Distribution Skew. FUSION 2024: 1-7 - 2023
- [j32]Yixuan Wu
Intelligent Intrusion Detection for Internet of Things Security: A Deep Convolutional Generative Adversarial Network-Enabled Approach. IEEE Internet Things J. 10(4): 3094-3106 (2023) - [j31]Qiang He
Rumors Suppression in Healthcare System: Opinion-Based Comprehensive Learning Particle Swarm Optimization. IEEE Trans. Comput. Soc. Syst. 10(4): 1780-1790 (2023) - 2022
- [j30]Jiannan Wei
A Redactable Blockchain Framework for Secure Federated Learning in Industrial Internet of Things. IEEE Internet Things J. 9(18): 17901-17911 (2022) - [j29]Laisen Nie
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): 134-145 (2022) - [j28]Dawei Wang
Delay-Sensitive Secure NOMA Transmission for Hierarchical HAP-LAP Medical-Care IoT Networks. IEEE Trans. Ind. Informatics 18(8): 5561-5572 (2022) - [j27]Handi Chen
Distributed Orchestration of Service Function Chains for Edge Intelligence in the Industrial Internet of Things. IEEE Trans. Ind. Informatics 18(9): 6244-6254 (2022) - [j26]Shupeng Wang
A Multitask Learning-Based Network Traffic Prediction Approach for SDN-Enabled Industrial Internet of Things. IEEE Trans. Ind. Informatics 18(11): 7475-7483 (2022) - [j25]Yixin He
A NOMA-Enabled Framework for Relay Deployment and Network Optimization in Double-Layer Airborne Access VANETs. IEEE Trans. Intell. Transp. Syst. 23(11): 22452-22466 (2022) - [j24]Xiaojie Wang, Laisen Nie, Zhaolong Ning
Deep Learning-Based Network Traffic Prediction for Secure Backbone Networks in Internet of Vehicles. ACM Trans. Internet Techn. 22(4): 87:1-87:20 (2022) - [c6]Jian Song, Hua Liu, Laisen Nie
Network Traffic Prediction for Intelligent Transportation Systems: A Reinforcement Learning Approach. GLOBECOM 2022: 245-250 - 2021
- [j23]Laisen Nie
Imitation-Learning-Enabled Vehicular Edge Computing: Toward Online Task Scheduling. IEEE Netw. 35(3): 102-108 (2021) - [j22]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): 2734 (2021) - [j21]Laisen Nie
Intrusion Detection in Green Internet of Things: A Deep Deterministic Policy Gradient-Based Algorithm. IEEE Trans. Green Commun. Netw. 5(2): 778-788 (2021) - [j20]Laisen Nie
A Reinforcement Learning-Based Network Traffic Prediction Mechanism in Intelligent Internet of Things. IEEE Trans. Ind. Informatics 17(3): 2169-2180 (2021) - [j19]Ying Gao
Blockchain Based IIoT Data Sharing Framework for SDN-Enabled Pervasive Edge Computing. IEEE Trans. Ind. Informatics 17(7): 5041-5049 (2021) - [j18]Laisen Nie
Network Traffic Prediction in Industrial Internet of Things Backbone Networks: A Multitask Learning Mechanism. IEEE Trans. Ind. Informatics 17(10): 7123-7132 (2021) - 2020
- [j17]Laisen Nie
Traffic Measurement Optimization Based on Reinforcement Learning in Large-Scale ITS-Oriented Backbone Networks. IEEE Access 8: 36988-36996 (2020) - [j16]Laisen Nie
Data-Driven Intrusion Detection for Intelligent Internet of Vehicles: A Deep Convolutional Neural Network-Based Method. IEEE Trans. Netw. Sci. Eng. 7(4): 2219-2230 (2020)
2010 – 2019
- 2019
- [j15]Yongkang Li
An Accurate Imaging and Doppler Chirp Rate Estimation Algorithm for Airborne CSSAR-GMTI Systems. IEEE Access 7: 170077-170086 (2019) - [j14]Laisen Nie
Anomaly Detection Based on Spatio-Temporal and Sparse Features of Network Traffic in VANETs. IEEE Access 7: 177954-177964 (2019) - [j13]Yongkang Li
A New Motion Parameter Estimation and Relocation Scheme for Airborne Three-Channel CSSAR-GMTI Systems. IEEE Trans. Geosci. Remote. Sens. 57(6): 4107-4120 (2019) - [c5]Laisen Nie
Anomaly Detection Based on Spatio-Temporal and Sparse Features of Network Traffic in VANETs. GLOBECOM 2019: 1-6 - [c4]Huizhi Wang, Laisen Nie
Traffic Measurement Optimization Based on Reinforcement Learning in Large-Scale IP Backbone Networks. GLOBECOM 2019: 1-6 - [c3]Yongkang Li, Laisen Nie
A New Ground Moving Target Imaging Algorithm for High-Resolution Airborne CSSAR-GMTI Systems. IGARSS 2019: 2308-2311 - 2018
- [j12]Laisen Nie
Spatio-Temporal Network Traffic Estimation and Anomaly Detection Based on Convolutional Neural Network in Vehicular Ad-Hoc Networks. IEEE Access 6: 40168-40176 (2018) - [j11]Laisen Nie, Xiaojie Wang
Network Traffic Prediction Based on Deep Belief Network and Spatiotemporal Compressive Sensing in Wireless Mesh Backbone Networks. Wirel. Commun. Mob. Comput. 2018 (2018) - 2017
- [j10]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): 297-305 (2017) - [c2]Laisen Nie
Network Traffic Prediction Based on Deep Belief Network in Wireless Mesh Backbone Networks. WCNC 2017: 1-5 - 2016
- [j9]Dingde Jiang, Laisen Nie, Zhihan Lv
Spatio-Temporal Kronecker Compressive Sensing for Traffic Matrix Recovery. IEEE Access 4: 3046-3053 (2016) - [j8]Laisen Nie, Dingde Jiang, Lei Guo
Traffic matrix prediction and estimation based on deep learning in large-scale IP backbone networks. J. Netw. Comput. Appl. 76: 16-22 (2016) - [c1]Laisen Nie
Traffic Matrix Prediction and Estimation Based on Deep Learning for Data Center Networks. GLOBECOM Workshops 2016: 1-6 - 2015
- [j7]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): 1108-1117 (2015) - [j6]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): 889-900 (2015) - [j5]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: 32-38 (2015) - [j4]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): 709-730 (2015) - 2014
- [j3]Laisen Nie, Dingde Jiang, Lei Guo
A reconstructing approach to end-to-end network traffic based on multifractal wavelet model. Int. J. Commun. Syst. 27(12): 3565-3580 (2014) - 2013
- [j2]Laisen Nie, Dingde Jiang, Zhengzheng Xu:
A compressive sensing-based reconstruction approach to network traffic. Comput. Electr. Eng. 39(5): 1422-1432 (2013) - [j1]Laisen Nie, Dingde Jiang, Lei Guo:
A power laws-based reconstruction approach to end-to-end network traffic. J. Netw. Comput. Appl. 36(2): 898-907 (2013)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-28 21:18 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: