Ye Zhu

Joined

July 2019

Names

Ye Zhu

Emails

****@deakin.edu.au (Confirmed)

****@ieee.org (Confirmed)

Personal Links

Career & Education History

Associate Professor

Deakin University (deakin.edu.au)

2022 – 2025

Lecturer

Deakin University (deakin.edu.au)

2019 – 2022

Postdoc

Deakin University (deakin.edu.au)

2017 – 2019

PhD student

Monash University (monash.edu)

2013 – 2017

MS student

Imperial College London (imperial.ac.uk)

2011 – 2012

Undergrad student

Huazhong Normal University (ccnu.edu.cn)

2006 – 2010

Advisors, Relations & Conflicts

Postdoc Advisor

Maia Angelova Turkedjieva

2017 – Present

Coauthor

Takashi Washio

2015 – Present

PhD Advisor

Kai Ming Ting

2013 – 2017

PhD Advisor

Mark Carman

2013 – 2017

Expertise

Data Mining

2013 – Present

Machine Learning

2013 – Present

Publications

Learning to Unlearn: Machine Unlearning via Learning the Unlearning Behaviors
Hang Zhang, Kaifeng Zhang, Yixiao Ma, Ye Zhu, Kai Ming Ting
- Submitted to ICLR 2026
- Readers: Everyone
Bivariate probability-based anomaly detection.
Hua Lou, Ye Zhu 0002
- BESC 2014
- Readers: Everyone
User Activity Pattern Analysis in Telecare Data.
Maia Angelova, Jeremy Ellman, Helen Gibson, Paul Oman 0001, Sutharshan Rajasegarar, Ye Zhu 0002
- IEEE Access 2018
- Readers: Everyone
Modelling host population support for combat adversaries.
Mathew Zuparic, Sergiy Shelyag, Maia Angelova, Ye Zhu 0002, Alexander C. Kalloniatis
- J. Oper. Res. Soc. 2023
- Readers: Everyone
An Improved Visual Assessment with Data-Dependent Kernel for Stream Clustering.
Baojie Zhang, Yang Cao 0019, Ye Zhu 0002, Sutharshan Rajasegarar, Gang Liu 0021, Hong Xian Li, Maia Angelova, Gang Li 0009
- PAKDD (1) 2023
- Readers: Everyone
Identification of Stock Market Manipulation with Deep Learning.
Jillian Tallboys, Ye Zhu 0002, Sutharshan Rajasegarar
- ADMA 2021
- Readers: Everyone
Weighted dynamic time warping for traffic flow clustering.
Man Li, Ye Zhu 0002, Taige Zhao, Maia Angelova
- Neurocomputing 2022
- Readers: Everyone
Machine Learning Enabled Team Performance Analysis in the Dynamical Environment of Soccer.
Shitanshu Kusmakar, Sergiy Shelyag, Ye Zhu 0002, Dan Dwyer, Paul B. Gastin, Maia Angelova
- IEEE Access 2020
- Readers: Everyone
Clustering-enhanced stock price prediction using deep learning.
Man Li, Ye Zhu 0002, Yuxin Shen, Maia Angelova
- World Wide Web (WWW) 2023
- Readers: Everyone
Efficient Identification of Arbitrarily Shaped and Varied Density Clusters in High-dimensional Data.
Ye Zhu 0002
- undefined 2017
- Readers: Everyone

View all 125 publications

Co-Authors

View all 154 co-authors