Zhida Li

Orcid: 0000-0003-0218-6227

According to our database1, Zhida Li authored at least 20 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
MLANet: multi-level attention network with multi-scale feature fusion for crowd counting.
Clust. Comput., August, 2024

A Hybrid Soft Sensor Model for Measuring the Oxygen Content in Boiler Flue Gas.
Sensors, April, 2024

Enhancing Cybersecurity Through Fast Machine Learning Algorithms.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2024

2023
TFA-CNN: an efficient method for dealing with crowding and noise problems in crowd counting.
Multim. Syst., December, 2023

Machine Learning for Detecting the WestRock Ransomware Attack Using BGP Routing Records.
IEEE Commun. Mag., March, 2023

Enhancing Cyber Defense: Using Machine Learning Algorithms for Detection of Network Anomalies.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Deep Echo State Networks for Detecting Internet Worm and Ransomware Attacks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2021
Border Gateway Protocol (BGP) routing records from Reseaux IP Europeens (RIPE) and BCNET.
Dataset, May, 2021

Border Gateway Protocol (BGP) routing records from Route Views.
Dataset, May, 2021

Machine Learning for Detecting Anomalies and Intrusions in Communication Networks.
IEEE J. Sel. Areas Commun., 2021

Classifying Denial of Service Attacks Using Fast Machine Learning Algorithms.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

2020
Detecting Internet Worms, Ransomware, and Blackouts Using Recurrent Neural Networks.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Detection of Denial of Service Attacks in Communication Networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019
Machine Learning Techniques for Classifying Network Anomalies and Intrusions.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

2018
Comparison of Machine Learning Algorithms for Detection of Network Intrusions.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Evaluation of Support Vector Machine Kernels for Detecting Network Anomalies.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

2017
Comparison of Virtualization Algorithms and Topologies for Data Center Networks.
Proceedings of the 26th International Conference on Computer Communication and Networks, 2017

2016
Detecting BGP anomalies using machine learning techniques.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Global resource capacity algorithm with path splitting for virtual network embedding.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

2015
The noise and spur delusion in fractional-N frequency synthesizer design.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015


  Loading...