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followers: 59.0 following: 1.0 repos: 50.0 gists: 0.0

Name: YE ZHU

Type: User

Company: Deakin University

Bio: Senior Lecturer of CS @ Deakin University Australia; Senior Member @ IEEE

Location: Australia

Blog: http://www.yezhu.com.au/

Hello, I'm Ye Zhu

I am working in the School of Information Technology at Deakin University as a Senior Lecturer (equivalent to Associate Professor in North American universities). My research works focus on the fields of data mining and machine learning. Particular topics include clustering analysis, anomaly detection, similarity learning and their applications for pattern recognition and information retrieval.

My research interests are:

🔭 Clustering analysis
👻 Anomaly detection
⚙️ Similarity learning
👯 Unsupervised learning

⚡️⚡️⚡️ For detailed description of my research projects and software, please visit my personal website. Recently, I have mainly participated in developing Isolation-based methods for unsupervised learning. All relevant packages can be found at here.

Here are some other featured packages:

🎑 Data-dependent similarity measure: aNNE (AAAI-19) and me (KDD-16). The R Package of Isolation Kernel is: https://github.com/zhuye88/isokernel
🐩 Clustering: DC-HDP (PRJ-22), CDF-TS (PRJ-21), DScale (PAKDD-18) and ReScale (PRJ-16).
🐳 Isolation-based anomaly detection: iForest (ICDM-08) and iNNE (CIJ-18).

📬 Get in Touch

📑 Google Scholar
💥 GitHub
🔗 LinkedIn
✉️ E-mail

YE ZHU's Projects

adma21

Identification of Stock Market Manipulation with Deep Learning

anne-dbscan-demo

Demo of using aNNE similarity for DBSCAN.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

cdf-ts

Demonstration of CDF-TS for transforming data

clustering-by-intree-ensemble-pr2020

"Enhancing In-Tree-based Clustering via Distance Ensemble and Kernelization", Teng Qiu, Yongjie Li, in Pattern Recognition, 2020.

dataset

dchdp

This Matlab code is used for demonstration of the clustering results of DP, LC-DP and DC-HDP.

deep-forest

An implementation of Deep Forest 2021.2.1.

deepclustering

Methods and Implements of Deep Clustering

deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

density-ratio-based-clustering

Discovering clusters with varying densities

distance-scaling

A Distance Scaling Method to Improve Density-Based Clustering

dpc-dlp

Dynamic Graph-Based Label Propagation for Density Peaks Clustering

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

dsbook

Repository for data science book

eeg-datasets

A list of all public EEG-datasets

extreme-clustering

extreme clustering– A clustering method via density extreme points

fastmice

Matlab code for the TKDE 2023 paper "Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity".

federico-dondi

My personal portfolio, hosted on GitHub Profile.

idkc

The source codes of Kernel-based Clustering via Isolation Distributional Kernel

iforest

iForest anomaly detection codes (Matlab Version)

ik-ahc

Source code for Isolation kernel-based agglomerative hierarchical clustering

ikt-sne

implementation_of_spectral_ensemble_clustering_via_weighted_k-means

Original paper: Spectral Ensemble Clustering via Weighted K-Means: Theoretical and Practical Evidence

inne

Source code of Isolation‐based anomaly detection

inne-1

isokernel

R package for Isolation Kernel.

ivis

Dimensionality reduction in very large datasets using Siamese Networks

kshape-matlab

Matlab implementation for k-Shape

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