Khoa L. D. Nguyen

Orcid: 0000-0002-9432-414X

Affiliations:
  • CSIRO, Data61, Sydney, NSW, Australia
  • University of Sydney, NSW, Australia (PhD 2012)


According to our database1, Khoa L. D. Nguyen authored at least 33 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
HeteGraph: graph learning in recommender systems via graph convolutional networks.
Neural Comput. Appl., June, 2023

CupMar: A deep learning model for personalized news recommendation based on contextual user-profile and multi-aspect article representation.
World Wide Web (WWW), March, 2023

2022
Let Trajectories Speak Out the Traffic Bottlenecks.
ACM Trans. Intell. Syst. Technol., 2022

Deep Conversational Recommender Systems: Challenges and Opportunities.
Computer, 2022

The Application Of Machine Learning To Paint Condition Assessment Using Hyperspectral Data.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

2021
Deep News Recommendation with Contextual User Profiling and Multifaceted Article Representation.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Dual-Stage Bayesian Sequence to Sequence Embeddings for Energy Demand Forecasting.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020
Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems.
CoRR, 2020

Energy Consumption Forecasting Using a Stacked Nonparametric Bayesian Approach.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Long-Term Water Pipe Condition Assessment: A Semiparametric Model Using Gaussian Process and Survival Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Robust Deep Learning Methods for Anomaly Detection.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

HeteGraph: A Convolutional Framework for Graph Learning in Recommender Systems.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Incremental commute time and its online applications.
Pattern Recognit., 2019

Online Data Fusion Using Incremental Tensor Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Concept Drift Adaption for Online Anomaly Detection in Structural Health Monitoring.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Structural Health Monitoring Using Machine Learning Techniques and Domain Knowledge Based Features.
Proceedings of the Human and Machine Learning, 2018

Adaptive Online One-Class Support Vector Machines with Applications in Structural Health Monitoring.
ACM Trans. Intell. Syst. Technol., 2018

A Tensor-Based Structural Damage Identification and Severity Assessment.
Sensors, 2018

Automated parameter tuning in one-class support vector machine: an application for damage detection.
Int. J. Data Sci. Anal., 2018

A Tensor-based Structural Health Monitoring Approach for Aeroservoelastic Systems.
CoRR, 2018

Deep Autoencoder for Recommender Systems: Parameter Influence Analysis.
Proceedings of the Australasian Conference on Information Systems, 2018

2017
Adaptive One-Class Support Vector Machine for Damage Detection in Structural Health Monitoring.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Self-advised Incremental One-Class Support Vector Machines: An Application in Structural Health Monitoring.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Smart Infrastructure Maintenance Using Incremental Tensor Analysis: Extended Abstract.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Incremental Commute Time Using Random Walks and Online Anomaly Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

On Structural Health Monitoring Using Tensor Analysis and Support Vector Machine with Artificial Negative Data.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
A scalable approach to spectral clustering with SDD solvers.
J. Intell. Inf. Syst., 2015

On Damage Identification in Civil Structures Using Tensor Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2012
Large Scale Spectral Clustering Using Resistance Distance and Spielman-Teng Solvers.
Proceedings of the Discovery Science - 15th International Conference, 2012

2011
Large Scale Spectral Clustering Using Approximate Commute Time Embedding
CoRR, 2011

Online Anomaly Detection Systems Using Incremental Commute Time
CoRR, 2011

2010
Robust Outlier Detection Using Commute Time and Eigenspace Embedding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Network Anomaly Detection Using a Commute Distance Based Approach.
Proceedings of the ICDMW 2010, 2010


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