Publications

Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks

PDF

TOD: GPU-accelerated Outlier Detection via Tensor Operations

PDF Code DOI

The Need for Unsupervised Outlier Model Selection: A Review and Evaluation of Internal Evaluation Strategies

PDF Code

ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels

PDF Code

ADBench: Anomaly Detection Benchmark

PDF Code

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs

PDF Code

ELECT: Toward Unsupervised Outlier Model Selection

PDF Code

Artificial Intelligence Foundation for Therapeutic Science

Code Project DOI

ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions

PDF Code DOI IEEE Xplore

Contrastive Attributed Network Anomaly Detection with Data Augmentation

PDF Code DOI PAKDD

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

PDF Code Project

Revisiting Time Series Outlier Detection: Definitions and Benchmarks

PDF Code

Automatic Unsupervised Outlier Model Selection

PDF Code Project

SUOD: Accelerating Large-scale Unsupervised Heterogeneous Outlier Detection

Outlier detection (OD) is a key data mining task for identifying abnormal objects from general samples with numerous high-stake …
PDF Code Project Arxiv

TODS: An Automated Time Series Outlier Detection System

PDF Code Video

AutoAudit: Mining Accounting and Time-Evolving Graphs

PDF Code IEEE Xplore

A Data Denoising Approach to Optimize Functional Clustering of Single Cell RNA-sequencing Data

DOI IEEE Xplore

COPOD: Copula-Based Outlier Detection

Outlier detection refers to the identification of rare items that are deviant from the general data distribution. Existing unsupervised …
PDF Code DOI IEEE Xplore

SynC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources

A synthetic dataset is a data object that is generated programmatically, and it may be valuable to creating a single dataset from …
PDF Code DOI IEEE Xplore

DSR: An Accurate Single Image Super Resolution Approach for Various Degradations

Recently, convolution neural networks based approaches have achieved unprecedented success for image super resolution. However, such …
PDF DOI IEEE Xplore

SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula

Synthetic population generation is the process of combining multiple socioeonomic and demographic datasets from various sources and at …
PDF Code PPAI Arxiv

Combining Machine Learning Models Using combo Library

Model combination, often regarded as a key sub-field of ensemble learning, has been widely used in both academic research and industry …
PDF Code Video DOI

PyOD: A Python Toolbox for Scalable Outlier Detection

PyOD is an open-source Python toolbox for performing scalable outlier detection on multivariate data. Uniquely, it provides access to a …
PDF Code Project JMLR abs Arxiv

Music Artist Classification with Convolutional Recurrent Neural Networks

Previous attempts at music artist classification use frame level audio features which summarize frequency content within short …
PDF Code DOI IEEE Xplore

LSCP: Locally Selective Combination in Parallel Outlier Ensembles

In unsupervised outlier ensembles, the absence of ground truth makes the combination of base outlier detectors a challenging task. …
PDF Code Slides DOI SIAM epubs

XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning

A new semi-supervised ensemble algorithm called XGBOD (Extreme Gradient Boosting Outlier Detection) is proposed, described and …
PDF Code DOI IEEE Xplore

DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles

PDF Slides

Employee Turnover Prediction with Machine Learning: A Reliable Approach

Supervised machine learning methods are described, demonstrated and assessed for the prediction of employee turnover within an …
PDF DOI SpringerLink

An empirical study of touch-based authentication methods on smartwatches

The emergence of smartwatches poses new challenges to information security. Although there are mature touch-based authentication …
PDF DOI ACM DL