Ling Luo

52 papers A* 6A 4B 3C 1Journal 20Unranked 18
YearRankTypeTitle / Venue / Authors
2026 — conf
Order-Aware Metric Learning for Electronic Health Records Applications.
BIOSTEC (3)
Mojgan Kouhounestani, Long Song, Ling Luo, Uwe Aickelin, Mark John Putland
2026 J jnl
Softmax is not Enough (for Adaptive Conformal Classification).
CoRR
Navid Akhavan Attar, Hesam Asadollahzadeh, Ling Luo, Uwe Aickelin
2025 J jnl
Breathing Cycle-Aware Segmentation for Patient-Ventilator Asynchrony Detection.
IEEE J. Biomed. Health Informatics
Jinxi Wang, Ling Luo, Uwe Aickelin, David Berlowitz, Mark E. Howard
2025 — conf
DUEn: An Ensemble Framework Enhanced by Distribution-Free Uncertainty for Regression.
COPA
Songlin Du, Ling Luo, Ilia Nouretdinov, Uwe Aickelin
2025 A* conf
DelayNetODE: Delay-Aware System Modelling Using Graph Attention and Continuous-Time Neural Dynamics.
ICDM
Saumya Karunadhika, Ling Luo, Bastian Oetomo, Michele Discepola, Sandra Kentish, Sally Gras, Uwe Aickelin
2025 — conf
Dynamical Label Augmentation and Calibration for Noisy Electronic Health Records.
PAKDD (1)
Yuhao Li, Ling Luo, Uwe Aickelin
2025 J jnl
Dynamical Label Augmentation and Calibration for Noisy Electronic Health Records.
CoRR
Yuhao Li, Ling Luo, Uwe Aickelin
2025 B conf
Efficient Selection of Low-Fidelity Data for Multi-fidelity Surrogate Models.
PRICAI
Mitra Heidari, Ling Luo, Mohammad Golzarijalal, Ellen Otte, Uwe Aickelin
2025 J jnl
Einstein: a fast online segmentation (pseudo-period extraction) algorithm for complex pseudo-periodic data streams.
Int. J. Data Sci. Anal.
Arjun Chaudhary, Ling Luo, Uwe Aickelin
2025 A conf
LIN: Latent Influence Network for Discovering Hidden Directed Influence Links on Social Media.
ICWSM
Chenhao Gu, Zainab Razia Zaidi, Ling Luo, Shanika Karunasekera
2025 J jnl
Large Language Model Driven Agents for Simulating Echo Chamber Formation.
CoRR
Chenhao Gu, Ling Luo, Zainab Razia Zaidi, Shanika Karunasekera
2025 A conf
Ordinal Embedding for Collaborative Filtering: A Unified Regularization for Enhanced Generalization and Interpretability.
CIKM
Jie Yang, Ling Luo, Nestor Cabello, Lars Kulik
2025 — conf
SHIP: A Shapelet-Based Approach for Interpretable Patient-Ventilator Asynchrony Detection.
PAKDD (2)
Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran, David Berlowitz, Mark Howard
2025 J jnl
SHIP: A Shapelet-based Approach for Interpretable Patient-Ventilator Asynchrony Detection.
CoRR
Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran, David Berlowitz, Mark Howard
2025 J jnl
Time Series Classification with Elasticity Using Augmented Path Signatures.
ACM Trans. Knowl. Discov. Data
Chenyang Wang, Ling Luo, Uwe Aickelin
2025 J jnl
Uncertainty-aware non-invasive patient-ventilator asynchrony detection using latent Gaussian mixture generative classifier with noisy label correction.
Int. J. Data Sci. Anal.
Chenyang Wang, Ling Luo, Uwe Aickelin, David Berlowitz, Mark E. Howard
2025 — conf
VDASI: VAE-Enhanced Degradation-Aware System Identification Using Constrained Latent Spaces.
PAKDD (6)
Saumya Karunadhika, Ling Luo, Bastian Oetomo, Michele Discepola, Uwe Aickelin
2024 C conf
Enhancing Predictive Modeling in Emergency Departments.
ICT4AWE
Mojgan Kouhounestani, Long Song, Ling Luo, Uwe Aickelin
2024 A* conf
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification.
KDD
Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran
2024 J jnl
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification.
CoRR
Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran
2024 J jnl
Unsupervised Domain-Agnostic Fake News Detection Using Multi-Modal Weak Signals.
IEEE Trans. Knowl. Data Eng.
Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie
2023 J jnl
Dynamic customer segmentation via hierarchical fragmentation-coagulation processes.
Mach. Learn.
Ling Luo, Bin Li, Xuhui Fan, Yang Wang, Irena Koprinska, Fang Chen
2023 — conf
Quasi-Periodicity Detection via Repetition Invariance of Path Signatures.
PAKDD (4)
Chenyang Wang, Ling Luo, Uwe Aickelin
2023 J jnl
Unsupervised Domain-agnostic Fake News Detection using Multi-modal Weak Signals.
CoRR
Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie
2022 A* conf
Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels.
AAAI
Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie
2021 A* conf
Bayesian Nonparametric Space Partitions: A Survey.
IJCAI
Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson
2021 A* conf
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data.
AAAI
Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie
2021 J jnl
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data.
CoRR
Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie
2021 J jnl
Knowledge Enhanced Multi-modal Fake News Detection.
CoRR
Yi Han, Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie
2021 J jnl
Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection.
Inf. Process. Manag.
Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie
2020 J jnl
Bayesian Nonparametric Space Partitions: A Survey.
CoRR
Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson
2020 — conf
Correlation-Aware Next Basket Recommendation Using Graph Attention Networks.
ICONIP (4)
Yuanzhe Zhang, Ling Luo, Jianjia Zhang, Qiang Lu, Yang Wang, Zhiyong Wang
2020 — conf
Embedding Partial Propagation Network for Fake News Early Detection.
CIKM (Workshops)
Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie
2020 — conf
FCP Filter: A Dynamic Clustering-Prediction Framework for Customer Behavior.
PAKDD (1)
Yuanzhe Zhang, Ling Luo, Yang Wang, Zhiyong Wang
2020 A conf
METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams.
CIKM
Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo
2020 J jnl
METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams.
CoRR
Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo
2020 — conf
OMBA: User-Guided Product Representations for Online Market Basket Analysis.
ECML/PKDD (1)
Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie
2020 J jnl
OMBA: User-Guided Product Representations for Online Market Basket Analysis.
CoRR
Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie
2020 — conf
Simultaneous Customer Segmentation and Behavior Discovery.
ICONIP (4)
Siqi Zhang, Ling Luo, Zhidong Li, Yang Wang, Fang Chen, Richard Xu
2019 — conf
Exploring Latent Structure Similarity for Bayesian Nonparameteric Model with Mixture of NHPP Sequence.
ICONIP (2)
Yongzhe Chang, Zhidong Li, Ling Luo, Simon Luo, Arcot Sowmya, Yang Wang, Fang Chen
2019 — conf
Recovering DTW Distance Between Noise Superposed NHPP.
PAKDD (2)
Yongzhe Chang, Zhidong Li, Bang Zhang, Ling Luo, Arcot Sowmya, Yang Wang, Fang Chen
2019 — conf
USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity.
IEEE BigData
Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo
2019 J jnl
USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity.
CoRR
Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo
2017 J jnl
DAAR: A Discrimination-Aware Association Rule Classifier for Decision Support.
Trans. Large Scale Data Knowl. Centered Syst.
Ling Luo, Wei Liu, Irena Koprinska, Fang Chen
2017 — conf
Online Engagement for a Healthier You: A Case Study of Web-based Supermarket Health Program.
WWW (Companion Volume)
Ling Luo, Bin Li, Shlomo Berkovsky, Irena Koprinska, Fang Chen
2017 A* conf
Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process.
IJCAI
Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen
2016 A conf
Discovering Temporal Purchase Patterns with Different Responses to Promotions.
CIKM
Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen
2016 — conf
Who Will Be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling.
PAKDD (1)
Ling Luo, Bin Li, Shlomo Berkovsky, Irena Koprinska, Fang Chen
2015 — conf
Discovering Causal Structures from Time Series Data via Enhanced Granger Causality.
Australasian Conference on Artificial Intelligence
Ling Luo, Wei Liu, Irena Koprinska, Fang Chen
2015 B conf
Discrimination-Aware Association Rule Mining for Unbiased Data Analytics.
DaWaK
Ling Luo, Wei Liu, Irena Koprinska, Fang Chen
2015 B conf
Discrimination-Aware Classifiers for Student Performance Prediction.
EDM
Ling Luo, Irena Koprinska, Wei Liu
2013 — conf
Assessing recovery from cognitive load through pen input.
CHI Extended Abstracts
Ling Luo, Ronnie Taib