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Ling Luo 0002

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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

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2020 – today

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2024
[j4]
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Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Unsupervised Domain-Agnostic Fake News Detection Using Multi-Modal Weak Signals. IEEE Trans. Knowl. Data Eng. 36(11): 7283-7295 (2024)
[c23]
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Mojgan Kouhounestani, Long Song, Ling Luo, Uwe Aickelin:
Enhancing Predictive Modeling in Emergency Departments. ICT4AWE 2024: 37-46
[c22]
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Xuan-May Thi Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran:
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification. KDD 2024: 1484-1494
[i8]
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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]
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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)
[c21]
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Chenyang Wang, Ling Luo, Uwe Aickelin:
Quasi-Periodicity Detection via Repetition Invariance of Path Signatures. PAKDD (4) 2023: 301-313
[i7]
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  - journals/corr/abs-2305-11349
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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]
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Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels. AAAI 2022: 8315-8323
2021
[j2]
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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)
[c19]
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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]
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  - conf/ijcai/FanLLS21
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Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson:
Bayesian Nonparametric Space Partitions: A Survey. IJCAI 2021: 4408-4415
[i6]
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  - journals/corr/abs-2102-06314
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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]
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  - journals/corr/abs-2108-04418
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Yi Han, Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Knowledge Enhanced Multi-modal Fake News Detection. CoRR abs/2108.04418 (2021)
2020
[c17]
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Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Embedding Partial Propagation Network for Fake News Early Detection. CIKM (Workshops) 2020
[c16]
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Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo:
METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams. CIKM 2020: 1375-1384
[c15]
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  - conf/iconip/ZhangLL00X20
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Siqi Zhang, Ling Luo, Zhidong Li, Yang Wang, Fang Chen, Richard Xu:
Simultaneous Customer Segmentation and Behavior Discovery. ICONIP (4) 2020: 122-130
[c14]
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  - conf/iconip/ZhangLZLWW20
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Yuanzhe Zhang, Ling Luo, Jianjia Zhang, Qiang Lu, Yang Wang, Zhiyong Wang:
Correlation-Aware Next Basket Recommendation Using Graph Attention Networks. ICONIP (4) 2020: 746-753
[c13]
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Yuanzhe Zhang, Ling Luo, Yang Wang, Zhiyong Wang:
FCP Filter: A Dynamic Clustering-Prediction Framework for Customer Behavior. PAKDD (1) 2020: 580-591
[c12]
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Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
OMBA: User-Guided Product Representations for Online Market Basket Analysis. ECML/PKDD (1) 2020: 55-71
[i4]
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  - journals/corr/abs-2002-11394
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Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson:
Bayesian Nonparametric Space Partitions: A Survey. CoRR abs/2002.11394 (2020)
[i3]
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  - journals/corr/abs-2006-10396
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Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
OMBA: User-Guided Product Representations for Online Market Basket Analysis. CoRR abs/2006.10396 (2020)
[i2]
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  - journals/corr/abs-2007-11847
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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

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2019
[c11]
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  - conf/bigdataconf/SilvaKLL19
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Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo:
USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity. IEEE BigData 2019: 1211-1217
[c10]
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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
[c9]
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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]
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  - journals/corr/abs-1910-10335
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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]
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  - journals/tlsdkcs/LuoLKC17
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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)
[c8]
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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
[c7]
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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
[c6]
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Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen:
Discovering Temporal Purchase Patterns with Different Responses to Promotions. CIKM 2016: 2197-2202
[c5]
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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
[c4]
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  - conf/ausai/LuoLKC15
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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
[c3]
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  - conf/dawak/LuoLKC15
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Ling Luo, Wei Liu, Irena Koprinska, Fang Chen:
Discrimination-Aware Association Rule Mining for Unbiased Data Analytics. DaWaK 2015: 108-120
[c2]
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  - conf/edm/LuoK015
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Ling Luo, Irena Koprinska, Wei Liu:
Discrimination-Aware Classifiers for Student Performance Prediction. EDM 2015: 384-387
2013
[c1]
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  - conf/chi/LuoT13
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Ling Luo, Ronnie Taib:
Assessing recovery from cognitive load through pen input. CHI Extended Abstracts 2013: 1353-1358

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