Ye Zhu

Orcid: 0000-0003-4776-4932

Affiliations:
  • 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 75 papers between 2014 and 2024.

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Bibliography

2024
Kernel-based iVAT with adaptive cluster extraction.
Knowl. Inf. Syst., November, 2024

Ripple Knowledge Graph Convolutional Networks for Recommendation Systems.
Mach. Intell. Res., June, 2024

A new distributional treatment for time series anomaly detection.
VLDB J., May, 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

A survey of dialogic emotion analysis: Developments, approaches and perspectives.
Pattern Recognit., 2024

An Innovative Application of Isolation-Based Nearest Neighbor Ensembles on Hyperspectral Anomaly Detection.
IEEE Geosci. Remote. Sens. Lett., 2024

Detecting Change Intervals with Isolation Distributional Kernel.
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

Distributed Clustering based on Distributional Kernel.
CoRR, 2024

A Survey on the Real Power of ChatGPT.
CoRR, 2024

Mining Area Skyline Objects from Map-based Big Data using Apache Spark Framework.
CoRR, 2024

Anomaly Detection Based on Isolation Mechanisms: A Survey.
CoRR, 2024

Is it possible to find the single nearest neighbor of a query in high dimensions?
Artif. Intell., 2024

Local Subsequence-Based Distribution for Time Series Clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Robust Representation Learning for Image Clustering.
Proceedings of the Knowledge Science, Engineering and Management, 2024

Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint).
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

Anomaly detection of vectorized time series on aircraft battery data.
Expert Syst. Appl., October, 2023

The impact of isolation kernel on agglomerative hierarchical clustering algorithms.
Pattern Recognit., July, 2023

Kernel-based clustering via Isolation Distributional Kernel.
Inf. Syst., July, 2023

CFNet: Facial expression recognition via constraint fusion under multi-task joint learning network.
Appl. Soft Comput., July, 2023

Point-Set Kernel Clustering.
IEEE Trans. Knowl. Data Eng., May, 2023

Modelling host population support for combat adversaries.
J. Oper. Res. Soc., March, 2023

Isolation Kernel Estimators.
Knowl. Inf. Syst., February, 2023

A novel feature-based framework enabling multi-type DDoS attacks detection.
World Wide Web (WWW), January, 2023

Clustering-enhanced stock price prediction using deep learning.
World Wide Web (WWW), January, 2023

An Improved Visual Assessment with Data-Dependent Kernel for Stream Clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Kernel-Based Feature Extraction for Time Series Clustering.
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

Towards a Persistence Diagram that is Robust to Noise and Varied Densities.
Proceedings of the International Conference on Machine Learning, 2023

Distribution-Based Trajectory Clustering.
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

Noise-free thumbnail-preserving image encryption based on MSB prediction.
Inf. Sci., 2022

Hierarchical clustering that takes advantage of both density-peak and density-connectivity.
Inf. Syst., 2022

Weighted dynamic time warping for traffic flow clustering.
Neurocomputing, 2022

A feature selection-based method for DDoS attack flow classification.
Future Gener. Comput. Syst., 2022

Detecting Change Intervals with Isolation Distributional Kernel.
CoRR, 2022

Streaming Hierarchical Clustering Based on Point-Set Kernel.
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
Anomaly detection of aircraft lead-acid battery.
Qual. Reliab. Eng. Int., 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

Breaking the curse of dimensionality with Isolation Kernel.
CoRR, 2021

Adversarial decision strategies in multiple network phased oscillators: The Blue-Green-Red Kuramoto-Sakaguchi model.
Commun. Nonlinear Sci. Numer. Simul., 2021

Systematic evaluation of abnormal detection methods on gas well sensor data.
Proceedings of the IEEE Symposium on Computers and Communications, 2021

A Comprehensive Feature Importance Evaluation for DDoS Attacks Detection.
Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

Identification of Stock Market Manipulation with Deep Learning.
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

Cloud-assisted privacy-conscious large-scale Markowitz portfolio.
Inf. Sci., 2020

Density estimates on the unit simplex and calculation of the mode of a sample.
Int. J. Intell. Syst., 2020

Clustering based on Point-Set Kernel.
CoRR, 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

Automated Method for Detecting Acute Insomnia Using Multi-Night Actigraphy Data.
IEEE Access, 2020

2019
Commutative fragile zero-watermarking and encryption for image integrity protection.
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

Density-based clustering using approximate natural neighbours.
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
Grouping points by shared subspaces for effective subspace clustering.
Pattern Recognit., 2018

Local contrast as an effective means to robust clustering against varying densities.
Mach. Learn., 2018

CDF Transform-Shift: An effective way to deal with inhomogeneous density datasets.
CoRR, 2018

Isolation-based anomaly detection using nearest-neighbor ensembles.
Comput. Intell., 2018

User Activity Pattern Analysis in Telecare Data.
IEEE Access, 2018

A Distance Scaling Method to Improve Density-Based Clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Leveraging Label Category Relationships in Multi-class Crowdsourcing.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing.
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
Density-ratio based clustering for discovering clusters with varying densities.
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
Bivariate probability-based anomaly detection.
Proceedings of the 2014 International Conference on Behavioral, 2014


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