Ye Zhu (祝烨)
Ye Zhu (祝烨)
Verified email at deakin.edu.au - Homepage
TitleCited byYear
Density-ratio based clustering for discovering clusters with varying densities
Y Zhu, KM Ting, MJ Carman
Pattern Recognition 60, 983-997, 2016
322016
Overcoming key weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure
KM Ting, Y Zhu, M Carman, Y Zhu, ZH Zhou
KDD '16 Proceedings of the 22nd ACM SIGKDD International Conference on …, 2016
292016
Grouping Points by Shared Subspaces for Effective Subspace Clustering
Y Zhu, KM Ting, MJ Carman
Pattern Recognition 83, 230-244, 2018
72018
Isolation‐based anomaly detection using nearest‐neighbor ensembles
TR Bandaragoda, KM Ting, D Albrecht, FT Liu, Y Zhu, JR Wells
Computational Intelligence, 2018
52018
Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering
X Qin, KM Ting, Y Zhu, V Lee
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019
42019
A Distance Scaling Method to Improve Density-based Clustering
Y Zhu, KM Ting, M Angelova
Advances in Knowledge Discovery and Data Mining (PAKDD 2018), 2018
42018
Leveraging Label Category Relationships in Multi-class Crowdsourcing
Y Jin, L Du, Y Zhu, M Carman
Advances in Knowledge Discovery and Data Mining (PAKDD 2018), 2018
32018
A Technical Survey on Statistical Modelling and Design Methods for Crowdsourcing Quality Control
Y Jin, M Carman, Y Zhu, Y Xiang
https://arxiv.org/abs/1812.02736, 2018
22018
Local contrast as an effective means to robust clustering against varying densities
B Chen, KM Ting, T Washio, Y Zhu
Machine Learning 107 (8-10), 1621-1645, 2018
22018
Lowest Probability Mass Neighbour Algorithms: Relaxing the metric constraint in distance-based neighbourhood algorithms
KM Ting, Y Zhu, M Carman, Y Zhu, T Washio, ZH Zhou
Machine Learning, 2018
22018
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing
Y Jin, M Carman, Y Zhu, W Buntine
10th Asian Conference on Machine Learning (ACML 2018), 2018
22018
Data-Driven Natural Gas Spot Price Forecasting with Least Squares Regression Boosting Algorithm
M Su, Z Zhang, Y Zhu, D Zha
Energies 12 (6), 1094, 2019
12019
Cloud-assisted privacy-conscious large-scale Markowitz portfolio
Y Zhang, J Jiang, Y Xiang, Y Zhu, L Wan, X Xie
Information Sciences, 2018
12018
Hierarchical clustering that takes advantage of both density-peak and density-connectivity
Y Zhu, KM Ting, Y Jin, M Angelova
arXiv preprint arXiv:1810.03393, 2018
12018
User activity pattern analysis in Telecare Data
M Angelova, J Ellman, H Gibson, P Oman, S Rajasegarar, Y Zhu
IEEE Access 6, 33306-33317, 2018
12018
Improving Stochastic Neighbour Embedding fundamentally with a well-defined data-dependent kernel
Y Zhu, KM Ting
arXiv preprint arXiv:1906.09744, 2019
2019
Commutative fragile zero-watermarking and encryption for image integrity protection
M Li, D Xiao, Y Zhu, Y Zhang, L Sun
Multimedia Tools and Applications, 1-16, 2019
2019
Data Driven Natural Gas Spot Price Prediction Models Using Machine Learning Methods
M Su, Z Zhang, Y Zhu, D Zha, W Wen
Energies 12 (9), 1680, 2019
2019
CDF Transform-Shift: An effective way to deal with inhomogeneous density datasets
Y Zhu, KM Ting, M Carman, M Angelova
https://arxiv.org/abs/1810.02897, 2018
2018
Efficient Identification of Arbitrarily Shaped and Varied Density Clusters in High-dimensional Data
Y Zhu
https://doi.org/10.4225/03/592266e0db4cd, 2017
2017
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Articles 1–20