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Ling 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
— National Institutes of Health, Bethesda, MD, USA (and 1 more)
- Ling Luo 0003
- Ling Luo 0004
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2020 – today
- 2024
- [j4]Amila Silva
Unsupervised Domain-Agnostic Fake News Detection Using Multi-Modal Weak Signals. IEEE Trans. Knowl. Data Eng. 36(11): 7283-7295 (2024) - [c23]Mojgan Kouhounestani, Long Song, Ling Luo, Uwe Aickelin
Enhancing Predictive Modeling in Emergency Departments. ICT4AWE 2024: 37-46 - [c22]Xuan-May Thi Le
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification. KDD 2024: 1484-1494 - [i8]Xuan-May Thi Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran:
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification. CoRR abs/2405.14608 (2024) - 2023
- [j3]Ling Luo
Dynamic customer segmentation via hierarchical fragmentation-coagulation processes. Mach. Learn. 112(1): 281-310 (2023) - [c21]Chenyang Wang
Quasi-Periodicity Detection via Repetition Invariance of Path Signatures. PAKDD (4) 2023: 301-313 - [i7]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
- [c20]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
Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection. Inf. Process. Manag. 58(5): 102618 (2021) - [c19]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 - [c18]Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson:
Bayesian Nonparametric Space Partitions: A Survey. IJCAI 2021: 4408-4415 - [i6]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) - [i5]Yi Han, Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Knowledge Enhanced Multi-modal Fake News Detection. CoRR abs/2108.04418 (2021) - 2020
- [c17]Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Embedding Partial Propagation Network for Fake News Early Detection. CIKM (Workshops) 2020 - [c16]Amila Silva
METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams. CIKM 2020: 1375-1384 - [c15]Siqi Zhang, Ling Luo, Zhidong Li
Simultaneous Customer Segmentation and Behavior Discovery. ICONIP (4) 2020: 122-130 - [c14]Yuanzhe Zhang, Ling Luo, Jianjia Zhang, Qiang Lu, Yang Wang
Correlation-Aware Next Basket Recommendation Using Graph Attention Networks. ICONIP (4) 2020: 746-753 - [c13]Yuanzhe Zhang, Ling Luo, Yang Wang
FCP Filter: A Dynamic Clustering-Prediction Framework for Customer Behavior. PAKDD (1) 2020: 580-591 - [c12]Amila Silva
OMBA: User-Guided Product Representations for Online Market Basket Analysis. ECML/PKDD (1) 2020: 55-71 - [i4]Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson:
Bayesian Nonparametric Space Partitions: A Survey. CoRR abs/2002.11394 (2020) - [i3]Amila Silva
OMBA: User-Guided Product Representations for Online Market Basket Analysis. CoRR abs/2006.10396 (2020) - [i2]Amila Silva
METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams. CoRR abs/2007.11847 (2020)
2010 – 2019
- 2019
- [c11]Amila Silva
USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity. IEEE BigData 2019: 1211-1217 - [c10]Yongzhe Chang, Zhidong Li
Exploring Latent Structure Similarity for Bayesian Nonparameteric Model with Mixture of NHPP Sequence. ICONIP (2) 2019: 432-444 - [c9]Yongzhe Chang, Zhidong Li
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
DAAR: A Discrimination-Aware Association Rule Classifier for Decision Support. Trans. Large Scale Data Knowl. Centered Syst. 32: 47-68 (2017) - [c8]Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky
Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process. IJCAI 2017: 2414-2420 - [c7]Ling Luo
Online Engagement for a Healthier You: A Case Study of Web-based Supermarket Health Program. WWW (Companion Volume) 2017: 1053-1061 - 2016
- [c6]Ling Luo
Discovering Temporal Purchase Patterns with Different Responses to Promotions. CIKM 2016: 2197-2202 - [c5]Ling Luo
Who Will Be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling. PAKDD (1) 2016: 527-539 - 2015
- [c4]Ling Luo
Discovering Causal Structures from Time Series Data via Enhanced Granger Causality. Australasian Conference on Artificial Intelligence 2015: 365-378 - [c3]Ling Luo
Discrimination-Aware Association Rule Mining for Unbiased Data Analytics. DaWaK 2015: 108-120 - [c2]Ling Luo, Irena Koprinska, Wei Liu:
Discrimination-Aware Classifiers for Student Performance Prediction. EDM 2015: 384-387 - 2013
- [c1]Ling Luo
Assessing recovery from cognitive load through pen input. CHI Extended Abstracts 2013: 1353-1358
Coauthor Index
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