| Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data A Silva, L Luo, S Karunasekera, C Leckie Proceedings of the 35th AAAI Conference on Artificial Intelligence, 2021 | 19 | 2021 |
| Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection A Silva, Y Han, L Luo, S Karunasekera, C Leckie Information Processing & Management 58 (5), 102618, 2021 | 18 | 2021 |
| Discovering Temporal Purchase Patterns with Different Responses to Promotions L Luo, B Li, I Koprinska, S Berkovsky, F Chen Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 13 | 2016 |
| Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process. L Luo, B Li, I Koprinska, S Berkovsky, F Chen IJCAI, 2414-2420, 2017 | 11 | 2017 |
| Discrimination-aware association rule mining for unbiased data analytics L Luo, W Liu, I Koprinska, F Chen International Conference on Big Data Analytics and Knowledge Discovery, 108-120, 2015 | 11 | 2015 |
| Discrimination-Aware Classifiers for Student Performance Prediction L Luo, I Koprinska, W Liu | 9 | 2015 |
| Bayesian Nonparametric Space Partitions: A Survey X Fan, B Li, L Luo, SA Sisson International Joint Conferences on Artificial Intelligence, 2021 | 7 | 2021 |
| Embedding Partial Propagation Network for Fake News Early Detection A Silva, Y Han, L Luo, S Karunasekera, C Leckie Proceedings of the CIKM 2020 Workshops 2699, 2020 | 7 | 2020 |
| Discovering causal structures from time series data via enhanced Granger causality L Luo, W Liu, I Koprinska, F Chen Australasian Joint Conference on Artificial Intelligence, 365-378, 2015 | 6 | 2015 |
| Online engagement for a healthier you: A case study of web-based supermarket health program L Luo, B Li, S Berkovsky, I Koprinska, F Chen Proceedings of the 26th International Conference on World Wide Web Companion …, 2017 | 4 | 2017 |
| Who Will Be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling L Luo, B Li, I Koprinska, S Berkovsky, F Chen Pacific Asia Conference on Knowledge Discovery and Data Mining 9651 (Lecture …, 2016 | 4 | 2016 |
| USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity A Silva, S Karunasekera, C Leckie, L Luo IEEE International Conference on Big Data, 2019 | 3 | 2019 |
| Temporal Modelling of Customer Behaviour L Luo Springer Theses, 2020 | 2* | 2020 |
| Patient-Ventilator Asynchrony Detection via Similarity Search Methods C Wang, U Aickelin, L Luo, G Ristanoski International Conference on Medical and Health Informatics (ICMHI), 2021 | 1 | 2021 |
| Correlation-Aware Next Basket Recommendation Using Graph Attention Networks Y Zhang, L Luo, J Zhang, Q Lu, Y Wang, Z Wang International Conference on Neural Information Processing, 746-753, 2020 | 1 | 2020 |
| METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams A Silva, S Karunasekera, C Leckie, L Luo Proceedings of the 29th ACM International Conference on Information …, 2020 | 1 | 2020 |
| Recovering DTW Distance Between Noise Superposed NHPP Y Chang, Z Li, B Zhang, L Luo, A Sowmya, Y Wang, F Chen Pacific-Asia Conference on Knowledge Discovery and Data Mining, 229-241, 2019 | 1 | 2019 |
| Assessing recovery from cognitive load through pen input L Luo, R Taib CHI'13 Extended Abstracts on Human Factors in Computing Systems, 1353-1358, 2013 | 1 | 2013 |
| Noise-robust Learning from Multiple Unsupervised Sources of Inferred Labels A Silva, L Luo, S Karunasekera, C Leckie Proceedings of the 36th AAAI Conference on Artificial Intelligence, 2022 | | 2022 |
| Learner Engagement Examination Via Computer Usage Behaviors K Yu, J Xu, Y Ou, L Luo, F Chen Humanity Driven AI, 241-253, 2022 | | 2022 |
Irena KoprinskaSchool of Computer Science, University of SydneyVerified email at it.usyd.edu.au
