Yun Zhou
Orcid: 0000-0001-7328-0275Affiliations:
- National University of Defense Technology, Science and Technology on Information Systems Engineering Laboratory, Changsha, China
- Goldsmiths University of London, UK (2015 - 2016)
- Queen Mary University of London, UK (PhD 2015)
According to our database1,
Yun Zhou
authored at least 45 papers
between 2013 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
IEEE/ACM Trans. Netw., October, 2023
Knowl. Based Syst., October, 2023
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
Proceedings of the Advances in Computer Graphics, 2023
2022
Int. J. Intell. Syst., 2022
M<sup>2</sup>SPL: Generative multiview features with adaptive meta-self-paced sampling for class-imbalance learning.
Expert Syst. Appl., 2022
Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness.
CoRR, 2022
Briefings Bioinform., 2022
Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022
2021
A new PC-PSO algorithm for Bayesian network structure learning with structure priors.
Expert Syst. Appl., 2021
Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
The Vertical Cuckoo Filters: A Family of Insertion-friendly Sketches for Online Applications.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021
Proceedings of the CSAE 2021: The 5th International Conference on Computer Science and Application Engineering, Sanya, China, October 19, 2021
2020
ACM Trans. Multim. Comput. Commun. Appl., 2020
An unsupervised ensemble framework for node anomaly behavior detection in social network.
Soft Comput., 2020
Sensors, 2020
Adaptive sampling using self-paced learning for imbalanced cancer data pre-diagnosis.
Expert Syst. Appl., 2020
Dynamic Defense against Stealth Malware Propagation in Cyber-Physical Systems: A Game-Theoretical Framework.
Entropy, 2020
The Effective Methods for Intrusion Detection With Limited Network Attack Data: Multi-Task Learning and Oversampling.
IEEE Access, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020
2019
An ensemble learning approach for XSS attack detection with domain knowledge and threat intelligence.
Comput. Secur., 2019
Intelligent Prediction of Vulnerability Severity Level Based on Text Mining and XGBboost.
Proceedings of the Eleventh International Conference on Advanced Computational Intelligence, 2019
2018
From Partition-Based Clustering to Density-Based Clustering: Fast Find Clusters With Diverse Shapes and Densities in Spatial Databases.
IEEE Access, 2018
Interactive Temporal Recurrent Convolution Network for Traffic Prediction in Data Centers.
IEEE Access, 2018
Proceedings of the 2018 IEEE SmartWorld, 2018
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Proceedings of the 6th International Symposium on Computational and Business Intelligence, 2018
Dynamic Defense Strategy against Stealth Malware Propagation in Cyber-Physical Systems.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018
2017
Improving Record Linkage Accuracy with Hierarchical Feature Level Information and Parsed Data.
New Gener. Comput., 2017
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017
Proceedings of the 3rd Workshop on Advanced Methodologies for Bayesian Networks, 2017
2016
Expert Syst. Appl., 2016
An empirical study of Bayesian network parameter learning with monotonic influence constraints.
Decis. Support Syst., 2016
2015
Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
Extending Naive Bayes Classifier with Hierarchy Feature Level Information for Record Linkage.
Proceedings of the Advanced Methodologies for Bayesian Networks, 2015
2014
Bayesian network approach to multinomial parameter learning using data and expert judgments.
Int. J. Approx. Reason., 2014
An Extended MPL-C Model for Bayesian Network Parameter Learning with Exterior Constraints.
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014
2013
Proceedings of the IJCAI 2013, 2013