Ling Luo

Orcid: 0000-0002-1363-8308

Affiliations:

University of Melbourne, School of Computing and Information Systems, Australia
University of Sydney, School of Information Technologies, Australia
Data 61, CSIRO, Eveleigh, Australia

According to our database¹, Ling Luo authored at least 22 papers between 2013 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

Dynamic customer segmentation via hierarchical fragmentation-coagulation processes.

[BibT_eX]

[DOI]

Mach. Learn., January, 2023

Unsupervised Domain-agnostic Fake News Detection using Multi-modal Weak Signals.

[BibT_eX]

[DOI]

CoRR, 2023

Quasi-Periodicity Detection via Repetition Invariance of Path Signatures.

[BibT_eX]

[DOI]

Chenyang Wang

Ling Luo

Uwe Aickelin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022

Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2021

Knowledge Enhanced Multi-modal Fake News Detection.

[BibT_eX]

[DOI]

CoRR, 2021

Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

OMBA: User-Guided Product Representations for Online Market Basket Analysis.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Simultaneous Customer Segmentation and Behavior Discovery.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 27th International Conference, 2020

METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Embedding Partial Propagation Network for Fake News Early Detection.

[BibT_eX]

[DOI]

Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020

2019

Recovering DTW Distance Between Noise Superposed NHPP.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Exploring Latent Structure Similarity for Bayesian Nonparameteric Model with Mixture of NHPP Sequence.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 26th International Conference, 2019

USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2017

DAAR: A Discrimination-Aware Association Rule Classifier for Decision Support.

[BibT_eX]

[DOI]

Trans. Large Scale Data Knowl. Centered Syst., 2017

Online Engagement for a Healthier You: A Case Study of Web-based Supermarket Health Program.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Who Will Be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Discovering Temporal Purchase Patterns with Different Responses to Promotions.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Discrimination-Aware Association Rule Mining for Unbiased Data Analytics.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

Discovering Causal Structures from Time Series Data via Enhanced Granger Causality.

[BibT_eX]

[DOI]

Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

2013

Assessing recovery from cognitive load through pen input.

[BibT_eX]

[DOI]

Ling Luo

Ronnie Taib

Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

Ling Luo

Timeline

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