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ORCIDLing Luo 0002
Person information
- affiliation: University of Melbourne, School of Computing and Information Systems, Australia
- affiliation: University of Sydney, School of Information Technologies, Australia
- affiliation: Data 61, CSIRO, Eveleigh, Australia
Other persons with the same name
- Ling Luo — disambiguation page
- Ling Luo 0001
![[0000-0002-5141-0259]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5141-0259")
— National Institutes of Health, Bethesda, MD, USA (and 1 more) - Ling Luo 0003 — niversity of Science and Technology of China, Department of Automation, Hefei, China
- Ling Luo 0004 — State Grid Shanghai Electric Power Research Institute, Shanghai, China (and 1 more)
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2020 – today
- 2023
[j3]Ling Luo, Bin Li, Xuhui Fan, Yang Wang, Irena Koprinska, Fang Chen:
Dynamic customer segmentation via hierarchical fragmentation-coagulation processes. Mach. Learn. 112(1): 281-310 (2023)- [c17]Chenyang Wang, Ling Luo, Uwe Aickelin:
Quasi-Periodicity Detection via Repetition Invariance of Path Signatures. PAKDD (4) 2023: 301-313 - [i6]Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Unsupervised Domain-agnostic Fake News Detection using Multi-modal Weak Signals. CoRR abs/2305.11349 (2023) - 2022
- [c16]Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels. AAAI 2022: 8315-8323 - 2021
- [j2]Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection. Inf. Process. Manag. 58(5): 102618 (2021) - [c15]Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data. AAAI 2021: 557-565 - [i5]Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data. CoRR abs/2102.06314 (2021) - [i4]Yi Han, Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Knowledge Enhanced Multi-modal Fake News Detection. CoRR abs/2108.04418 (2021) - 2020
- [c14]Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Embedding Partial Propagation Network for Fake News Early Detection. CIKM (Workshops) 2020 - [c13]Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo:
METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams. CIKM 2020: 1375-1384 - [c12]Siqi Zhang, Ling Luo, Zhidong Li, Yang Wang, Fang Chen, Richard Xu:
Simultaneous Customer Segmentation and Behavior Discovery. ICONIP (4) 2020: 122-130 - [c11]Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
OMBA: User-Guided Product Representations for Online Market Basket Analysis. ECML/PKDD (1) 2020: 55-71 - [i3]Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
OMBA: User-Guided Product Representations for Online Market Basket Analysis. CoRR abs/2006.10396 (2020) - [i2]Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo:
METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams. CoRR abs/2007.11847 (2020)
2010 – 2019
- 2019
- [c10]Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo:
USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity. IEEE BigData 2019: 1211-1217 - [c9]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. ICONIP (2) 2019: 432-444 - [c8]Yongzhe Chang, Zhidong Li, Bang Zhang, Ling Luo, Arcot Sowmya, Yang Wang, Fang Chen:
Recovering DTW Distance Between Noise Superposed NHPP. PAKDD (2) 2019: 229-241 - [i1]Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo:
USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity. CoRR abs/1910.10335 (2019) - 2017
- [j1]Ling Luo, Wei Liu, Irena Koprinska, Fang Chen:
DAAR: A Discrimination-Aware Association Rule Classifier for Decision Support. Trans. Large Scale Data Knowl. Centered Syst. 32: 47-68 (2017) - [c7]Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen:
Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process. IJCAI 2017: 2414-2420 - [c6]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. WWW (Companion Volume) 2017: 1053-1061 - 2016
- [c5]Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen:
Discovering Temporal Purchase Patterns with Different Responses to Promotions. CIKM 2016: 2197-2202 - [c4]Ling Luo, Bin Li, Shlomo Berkovsky, Irena Koprinska, Fang Chen:
Who Will Be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling. PAKDD (1) 2016: 527-539 - 2015
- [c3]Ling Luo, Wei Liu, Irena Koprinska, Fang Chen:
Discovering Causal Structures from Time Series Data via Enhanced Granger Causality. Australasian Conference on Artificial Intelligence 2015: 365-378 - [c2]Ling Luo, Wei Liu, Irena Koprinska, Fang Chen:
Discrimination-Aware Association Rule Mining for Unbiased Data Analytics. DaWaK 2015: 108-120 - 2013
- [c1]Ling Luo, Ronnie Taib:
Assessing recovery from cognitive load through pen input. CHI Extended Abstracts 2013: 1353-1358
Coauthor Index
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