Key Publications

Here are only key publications. Please see my Google scholar or Deakin website for the full list.

Zhao Wenjie, Zhang Yushu, Ye Zhu, Xu Peng (2021). Anomaly detection of aircraft lead-acid battery. Quality and Reliability Engineering International.

Mathew Zuparic, Maia Angelova, Ye Zhu, Alexander Kalloniatis (2021). Adversarial decision strategies in multiple network phased oscillators: the Blue-Green-Red Kuramoto-Sakaguchi model. Communications in Nonlinear Science and Numerical Simulation.

Yuan Jin, Mark Carman, Ye Zhu, Yong Xiang (2020). A technical survey on statistical modelling and design methods for crowdsourcing quality control. Artificial Intelligence.

Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent CS Lee (2019). Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19).

Code Project DOI

Yushu Zhang, Jin Jiang, Yong Xiang, Ye Zhu, Liangtian Wan, Xiyuan Xie (2018). Cloud-assisted privacy-conscious large-scale Markowitz portfolio. Information Sciences.

Kai Ming Ting, Ye Zhu, Mark Carman, Yue Zhu, Takashi Washio, Zhi-Hua Zhou (2018). Lowest probabilitymass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms. Machine Learning.

Code Project DOI

Yuan Jin, Lan Du, Ye Zhu, Mark Carman (2018). Leveraging label category relationships in multi-class crowdsourcing. Advances in Knowledge Discovery and Data Mining (PAKDD 2018).

Ye Zhu, Kai Ming Ting, Maia Angelova (2018). A Distance Scaling Method to Improve Density-Based Clustering. Advances in Knowledge Discovery and Data Mining (PAKDD 2018).

Code Project DOI

Ye Zhu, Kai Ming Ting, Mark Carman (2018). Grouping Points by Shared Subspaces for Effective Subspace Clustering. Pattern Recognition.

Bo Chen, Kai Ming Ting, Takashi Washio, Ye Zhu (2018). Anomaly detection of aircraft lead-acid battery. Machine Learning.

Tharindu R Bandaragoda, Kai Ming Ting, David Albrecht, Fei Tony Liu, Ye Zhu, Jonathan R Wells (2018). Isolation‐based anomaly detection using nearest‐neighbor ensembles. Computational Intelligence.

Code Project DOI

Kai Ming Ting, Ye Zhu, Mark Carman, Yue Zhu, Zhi-Hua Zhou (2016). Overcoming key weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure. 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.

Code Project DOI

Ye Zhu, Kai Ming Ting, Mark Carman (2016). Density-ratio based clustering for discovering clusters with varying densities. Pattern Recognition.

Code Project DOI