Ye Zhu
Orcid: 0000-0003-4776-4932Affiliations:
- Deakin University, School of Information Technology, Burwood, VIC, Australia
- Monash University, Faculty of Information Technology, Clayton, VIC, Australia (PhD 2017)
According to our database1,
Ye Zhu
authored at least 76 papers
between 2014 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on yezhu.com.au
-
on linkedin.com
-
on orcid.org
-
on github.com
-
on dl.acm.org
On csauthors.net:
Bibliography
2025
Artif. Intell. Rev., January, 2025
2024
Knowl. Inf. Syst., November, 2024
Mach. Intell. Res., June, 2024
Automation and Orchestration of Zero Trust Architecture: Potential Solutions and Challenges.
Mach. Intell. Res., April, 2024
Mitigating the Impact of a False Message Through Sequential Release of Clarifying Messages.
IEEE Trans. Netw. Sci. Eng., 2024
Pattern Recognit., 2024
An Innovative Application of Isolation-Based Nearest Neighbor Ensembles on Hyperspectral Anomaly Detection.
IEEE Geosci. Remote. Sens. Lett., 2024
J. Artif. Intell. Res., 2024
A multimodal fusion network with attention mechanisms for visual-textual sentiment analysis.
Expert Syst. Appl., 2024
RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations.
CoRR, 2024
CoRR, 2024
Artif. Intell., 2024
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024
Proceedings of the Knowledge Science, Engineering and Management, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
2023
Social tie-driven coupling propagation of user awareness and information in Device-to-Device communications.
Comput. Networks, December, 2023
Expert Syst. Appl., October, 2023
Pattern Recognit., July, 2023
CFNet: Facial expression recognition via constraint fusion under multi-task joint learning network.
Appl. Soft Comput., July, 2023
J. Oper. Res. Soc., March, 2023
World Wide Web (WWW), January, 2023
World Wide Web (WWW), January, 2023
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Proceedings of the Knowledge Science, Engineering and Management, 2023
An Enhanced Distributed Algorithm for Area Skyline Computation Based on Apache Spark.
Proceedings of the Knowledge Science, Engineering and Management, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
2022
A New Distributional Treatment for Time Series and An Anomaly Detection Investigation.
Proc. VLDB Endow., 2022
Inf. Sci., 2022
Hierarchical clustering that takes advantage of both density-peak and density-connectivity.
Inf. Syst., 2022
Future Gener. Comput. Syst., 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel (Extended Abstract).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Image Anomaly Detection With Semantic- Enhanced Augmentation and Distributional Kernel.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022
2021
CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities.
Pattern Recognit., 2021
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel.
J. Artif. Intell. Res., 2021
Adversarial decision strategies in multiple network phased oscillators: The Blue-Green-Red Kuramoto-Sakaguchi model.
Commun. Nonlinear Sci. Numer. Simul., 2021
Proceedings of the IEEE Symposium on Computers and Communications, 2021
Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021
Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021
2020
Correlative decision preference information consistency check and comprehensive dominance representation method.
J. Intell. Fuzzy Syst., 2020
Int. J. Intell. Syst., 2020
A technical survey on statistical modelling and design methods for crowdsourcing quality control.
Artif. Intell., 2020
Machine Learning Enabled Team Performance Analysis in the Dynamical Environment of Soccer.
IEEE Access, 2020
IEEE Access, 2020
2019
Multim. Tools Appl., 2019
Lowest probability mass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms.
Mach. Learn., 2019
Improving Stochastic Neighbour Embedding fundamentally with a well-defined data-dependent kernel.
CoRR, 2019
Appl. Soft Comput., 2019
Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Pattern Recognit., 2018
Mach. Learn., 2018
CoRR, 2018
Comput. Intell., 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Proceedings of The 10th Asian Conference on Machine Learning, 2018
2017
Efficient Identification of Arbitrarily Shaped and Varied Density Clusters in High-dimensional Data.
PhD thesis, 2017
2016
Pattern Recognit., 2016
Commentary: a decomposition of the outlier detection problem into a set of supervised learning problems.
Mach. Learn., 2016
Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
2014
Proceedings of the 2014 International Conference on Behavioral, 2014