Assessing recovery from cognitive load through pen input. - Ling Luo 002; Ronnie Taib (CHI Extended Abstracts, 2013)

Discovering Causal Structures from Time Series Data via Enhanced Granger Causality. - Ling Luo 002; Wei Liu 007; Irena Koprinska; Fang Chen 001 (Australasian Conference on Artificial Intelligence, 2015)

Discrimination-Aware Association Rule Mining for Unbiased Data Analytics. - Ling Luo 002; Wei Liu 007; Irena Koprinska; Fang Chen 001 (DaWaK, 2015)

Discrimination-Aware Classifiers for Student Performance Prediction. - Ling Luo 002; Irena Koprinska; Wei Liu 007 (EDM, 2015)

Discovering Temporal Purchase Patterns with Different Responses to Promotions. - Ling Luo 002; Bin Li 015; Irena Koprinska; Shlomo Berkovsky; Fang Chen 001 (CIKM, 2016)

Who Will Be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling. - Ling Luo 002; Bin Li 015; Shlomo Berkovsky; Irena Koprinska; Fang Chen 001 (PAKDD (1), 2016)

Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process. - Ling Luo 002; Bin Li 015; Irena Koprinska; Shlomo Berkovsky; Fang Chen 001 (IJCAI, 2017)

Online Engagement for a Healthier You: A Case Study of Web-based Supermarket Health Program. - Ling Luo 002; Bin Li 015; Shlomo Berkovsky; Irena Koprinska; Fang Chen 001 (WWW (Companion Volume), 2017)

DAAR: A Discrimination-Aware Association Rule Classifier for Decision Support. - Ling Luo 002; Wei Liu 007; Irena Koprinska; Fang Chen 001 (Trans. Large Scale Data Knowl. Centered Syst., 2017)

USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity. - Amila Silva; Shanika Karunasekera; Christopher Leckie; Ling Luo 002 (IEEE BigData, 2019)

Exploring Latent Structure Similarity for Bayesian Nonparameteric Model with Mixture of NHPP Sequence. - Yongzhe Chang; Zhidong Li; Ling Luo 002; Simon Luo; Arcot Sowmya; Yang Wang 002; Fang Chen 001 (ICONIP (2), 2019)

Recovering DTW Distance Between Noise Superposed NHPP. - Yongzhe Chang; Zhidong Li; Bang Zhang; Ling Luo 002; Arcot Sowmya; Yang Wang 002; Fang Chen 001 (PAKDD (2), 2019)

Embedding Partial Propagation Network for Fake News Early Detection. - Amila Silva; Yi Han 003; Ling Luo 002; Shanika Karunasekera; Christopher Leckie (CIKM (Workshops), 2020)

METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams. - Amila Silva; Shanika Karunasekera; Christopher Leckie; Ling Luo 002 (CIKM, 2020)

Simultaneous Customer Segmentation and Behavior Discovery. - Siqi Zhang; Ling Luo 002; Zhidong Li; Yang Wang 002; Fang Chen 001; Richard Xu (ICONIP (4), 2020)

Correlation-Aware Next Basket Recommendation Using Graph Attention Networks. - Yuanzhe Zhang; Ling Luo 002; Jianjia Zhang; Qiang Lu; Yang Wang 002; Zhiyong Wang 001 (ICONIP (4), 2020)

FCP Filter: A Dynamic Clustering-Prediction Framework for Customer Behavior. - Yuanzhe Zhang; Ling Luo 002; Yang Wang 002; Zhiyong Wang 001 (PAKDD (1), 2020)

OMBA: User-Guided Product Representations for Online Market Basket Analysis. - Amila Silva; Ling Luo 002; Shanika Karunasekera; Christopher Leckie (ECML/PKDD (1), 2020)

Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data. - Amila Silva; Ling Luo 002; Shanika Karunasekera; Christopher Leckie (AAAI, 2021)

Bayesian Nonparametric Space Partitions: A Survey. - Xuhui Fan 001; Bin Li 015; Ling Luo 002; Scott A. Sisson (IJCAI, 2021)

Knowledge Enhanced Multi-modal Fake News Detection. - Yi Han 003; Amila Silva; Ling Luo 002; Shanika Karunasekera; Christopher Leckie (CoRR, 2021)

Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection. - Amila Silva; Yi Han 003; Ling Luo 002; Shanika Karunasekera; Christopher Leckie (Inf. Process. Manag., 2021)

Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels. - Amila Silva; Ling Luo 002; Shanika Karunasekera; Christopher Leckie (AAAI, 2022)

Quasi-Periodicity Detection via Repetition Invariance of Path Signatures. - Chenyang Wang; Ling Luo 002; Uwe Aickelin (PAKDD (4), 2023)

Dynamic customer segmentation via hierarchical fragmentation-coagulation processes. - Ling Luo 002; Bin Li 015; Xuhui Fan 001; Yang Wang 002; Irena Koprinska; Fang Chen 001 (Mach. Learn., 2023)

Enhancing Predictive Modeling in Emergency Departments. - Mojgan Kouhounestani; Long Song; Ling Luo 002; Uwe Aickelin (ICT4AWE, 2024)

ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification. - Xuan-May Le; Ling Luo 002; Uwe Aickelin; Minh-Tuan Tran (KDD, 2024)

Unsupervised Domain-Agnostic Fake News Detection Using Multi-Modal Weak Signals. - Amila Silva; Ling Luo 002; Shanika Karunasekera; Christopher Leckie (IEEE Trans. Knowl. Data Eng., 2024)

DUEn: An Ensemble Framework Enhanced by Distribution-Free Uncertainty for Regression. - Songlin Du; Ling Luo 002; Ilia Nouretdinov; Uwe Aickelin (COPA, 2025)

LIN: Latent Influence Network for Discovering Hidden Directed Influence Links on Social Media. - Chenhao Gu; Zainab Razia Zaidi; Ling Luo 002; Shanika Karunasekera (ICWSM, 2025)

VDASI: VAE-Enhanced Degradation-Aware System Identification Using Constrained Latent Spaces. - Saumya Karunadhika; Ling Luo 002; Bastian Oetomo; Michele Discepola; Uwe Aickelin (PAKDD (6), 2025)

SHIP: A Shapelet-Based Approach for Interpretable Patient-Ventilator Asynchrony Detection. - Xuan-May Le; Ling Luo 002; Uwe Aickelin; Minh-Tuan Tran; David Berlowitz; Mark Howard (PAKDD (2), 2025)

Dynamical Label Augmentation and Calibration for Noisy Electronic Health Records. - Yuhao Li; Ling Luo 002; Uwe Aickelin (PAKDD (1), 2025)

Large Language Model Driven Agents for Simulating Echo Chamber Formation. - Chenhao Gu; Ling Luo 002; Zainab Razia Zaidi; Shanika Karunasekera (CoRR, 2025)

Time Series Classification with Elasticity Using Augmented Path Signatures. - Chenyang Wang; Ling Luo 002; Uwe Aickelin (ACM Trans. Knowl. Discov. Data, 2025)