Ling Luo

Dynamic customer segmentation via hierarchical fragmentation-coagulation processes

Ling Luo, Bin Li, Xuhui Fan, Yang Wang, Irena Koprinska, Fang Chen

Journal article  |  2022  |  MACHINE LEARNING

Understanding customer behavior is necessary to develop efficient marketing strategies or launch tailored programs with social val..

Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels

A Silva, L Luo, S Karunasekera, C Leckie

Journal article  |  2022  |  Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022

Deep Neural Networks (DNNs) generally require large-scale datasets for training. Since manually obtaining clean labels for large d..

Bayesian Nonparametric Space Partitions: A Survey

Xuhui Fan, Bin Li, Ling Luo, Scott A Sisson

Conference Proceedings  |  2021  |  Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

Bayesian nonparametric space partition (BNSP) models provide a variety of strategies for partitioning a D-dimensional space into a..

Research on the Application of an Improved LEACH Algorithm in Smart Home

Amila Silva, Ling Luo, Shanika Karunasekera

Journal article  |  2021  |  International Journal of Smartcare Home

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

Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie

Journal article  |  2021  |  INFORMATION PROCESSING & MANAGEMENT

Many recent studies have demonstrated that the propagation patterns of news on social media can facilitate the detection of fake n..

Patient-Ventilator Asynchrony Detection via Similarity Search Methods

Chenyang Wang, Uwe Aickelin, Ling Luo, Goce Ristanoski

Conference Proceedings  |  2021  |  ICMHI 2021 Proceeding

Patient-ventilator asynchrony (PVA) is a common cause of ventilation-related medical complications and are traditionally only able..

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

Amila Silva, Ling Luo, Shanika Karunasekera, Chris Leckie

Conference Proceedings  |  2021  |  Proceedings of the 35th AAAI Conference on Artificial Intelligence

With the rapid evolution of social media, fake news has become a significant social problem, which cannot be addressed in a timely..

A Clustering-Prediction Pipeline for Customer Churn Analysis

Hanming Zheng, Ling Luo, Goce Ristanoski

Conference Proceedings  |  2021  |  KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT, PT III

Customer churn is the event when customers using the products or services of an organization decide to no longer do so by either s..

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

A Silva, S Karunasekera, C Leckie, L Luo

Conference Proceedings  |  2020  |  CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management

Many learning tasks involve multi-modal data streams, where continuous data from different modes convey a comprehensive descriptio..

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

Amila Silva, Shanika Karunasekera, Chris Leckie, Ling Luo

Conference Proceedings  |  2020  |  Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019

Building spatiotemporal activity models for people's activities in urban spaces is important for understanding the ever-increasing..