Temporal Modelling of Customer Behaviour, Springer International Publishing, 2020. [book][e-book]
Ling Luo, Bin Li, Xuhui Fan, Yang Wang, Irena Koprinska, Fang Chen, Dynamic customer segmentation viahierarchical fragmentation‑coagulation processes, in Machine Learning journal, 2022 [paper]
Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie, Noise-robust Learning from Multiple Unsupervised Sources of Inferred Labels, in Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-22)[paper]
Kun Yu, Jie Xu, Yuming Ou, Ling Luo, Fang Chen, Learner Engagement Examination Via Computer Usage Behaviors, Humanity Driven AI, pp: 241-253, 2022 [paper]
Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie, Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data, in Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI-21)[paper]
Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson, Bayesian Nonparametric Space Partitions: A Survey, accepted by International Joint Conference on Artificial Intelligence (IJCAI-21 Survey Track)[paper]
Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie, Propagation2Vec: Embedding Partial Propagation Networks for Explainable Fake News Early Detection, Information Processing and Management [paper]
Chenyang Wang, Uwe Aickelin, Ling Luo, Goce Ristanoski, David Berlowitz, Mark Howard, Patient-Ventilator Acynchrony Detection via Similarity Search Methods, International Conference on Medical and Health Informatics (ICMHI-21)[paper]
Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo, METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams, in Proceedings of ACM International Conference on Information and Knowledge Management, 2020 (CIKM-20).
Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie, Embedding Partial Propagation Network for Fake News Early Detection, in Proceedings of the CIKM 2020 Workshops (5th International Workshop on Mining Actionable Insights from Social Networks).
Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie, OMBA: User-Guided Product Representations for Online Market Basket Analysis, in Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020 (ECML-PKDD-20).
Yuanzhe Zhang, Ling Luo, Jianjia Zhang, Qiang Lu, Yang Wang, and Zhiyong Wang, Correlation-aware Next Basket Recommendation using Graph Attention Networks, in Proceedings of International Conference on Neural Information Processing, 2020 (ICONIP-20).
Siqi Zhang, Ling Luo, Zhidong Li, Yang Wang, Fang Chen, and Richard Xu, Simultaneous Customer Segmentation and Behaviour Discovery, in Proceedings of International Conference on Neural Information Processing, 2020 (ICONIP-20).
Yuanzhe Zhang, Ling Luo, Yang Wang, Zhiyong Wang, FCP Filter: a Dynamic Clustering-Prediction Framework for Customer Behavior, in Proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp:580-591, 2020 (PAKDD-20).
Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo, USTAR: Online Multimodal Embedding for ModelingUser-Guided Spatiotemporal Activity, in Proceedings of IEEE International Conference on Big Data (in press), 2019 (IEEE BigData-19).
Yongzhe Chang, Zhidong Li, Ling Luo, Simon Luo, Arcot Sowmya, Yang Wang, Fang Chen, Exploring Latent Structure Similarity for Bayesian Nonparameteric Model with Mixture of NHPP Sequence, in Proceedings of International Conference on Neural Information Processing, pp: 432-444, 2019 (ICONIP-19).
Yongzhe Chang, Zhidong Li, Matt Zhang, Ling Luo, Arcot Sowmya, Yang Wang, Fang Chen, Recovering DTW Distance between Noise Superposed NHPP, in Proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp: 229-241, 2019 (PAKDD-19).
Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen, Tracking the Evolution of Customer Purchase Behaviour Segmentation via a Fragmentation-Coagulation Process, in Proceedings of the 26th International Joint Conference on Artificial Intelligence, pp: 2414-2420, 2017 (IJCAI-17). [news]
Ling Luo, Bin Li, Shlomo Berkovsky, Irena Koprinska, Fang Chen, Online Engagement for a Healthier You: A Case Study of Web-Based Supermarket Health Program, in Companion Proceedings of the 26th World Wide Web (Web Science Alt-Track), pp: 1053-1061, 2017 (WWW-17).
Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen, Discovering Temporal Purchase Patterns with Different Responses to Promotions, in Proceedings of the 25th ACM International Conference on Information and Knowledge Management, pp: 2197-2202, 2016 (CIKM-16).
Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen, Tracking Customer Behaviour Changes via Preference Modelling, in Proceedings of the Pacific Asia Conference on Knowledge Discovery and Data Mining, pp: 527-539, 2016 (PAKDD-16).
Ling Luo, Wei Liu, Irena Koprinska, Fang Chen, DAAR: A Discrimination-Aware Association Rule Classifier for Decision Support, in Transactions on Large-Scale Data- and Knowledge-Centered Systems, vol. 32, pp: 47-68, Springer, 2017.
Ling Luo, Wei Liu, Irena Koprinska, Fang Chen, Discovering Causal Structures from Time Series Data via Enhanced Granger Causality, in Proceedings of Australasian Joint Conference on Artificial Intelligence, pp: 365-378, 2015 (AI-15).
Ling Luo, Irena Koprinska, Wei Liu, Discrimination-Aware Classifiers for Student Performance Prediction, in Proceedings of International Conference on Educational Data Mining, pp: 384-387, 2015 (EDM-15).
Ling Luo, Wei Liu, Irena Koprinska, Fang Chen, Discrimination-Aware Association Rule Mining for Unbiased Data Analytics, in Proceedings of International Conference on Big Data Analytics and Knowledge Discovery, pp: 108-120, 2015 (DaWaK-15).
Ling Luo, Ronnie Taib, Lisa Anthony, Jianwei Lai, Further Investigating Pen Gesture Features Sensitive to Cognitive Load, in ACM Intelligent User Interfaces (IUI) Workshop on Interacting with Smart Objects, 2013.
Ling Luo, Ronnie Taib, Assessing Recovery from Cognitive Load through Pen Input, in Proceedings of ACM SIGCHI Conference on Human Factors in Computing Systems Works in Progress, 2013 (CHI-WIP-13).