Shaowen Qin - researchr alias

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Viewing Publication 1 - 27 from 27

2024

Multi-Task Deep Neural Networks for Irregularly Sampled Multivariate Clinical Time SeriesYuxi Liu, Zhenhao Zhang, Shaowen Qin, Jiang Bian. ichi 2024: 135-140 [doi]

An Analyses of the Impact of Climatic and Environmental Conditions on COVID-19 Prevalence in Epidemic Areas in Australia, South Korea, and ItalyYuxi Liu, Zhenhao Zhang, Shaowen Qin, Jun Shen 0001, Jiang Bian. adma 2025: 33-47 [doi]

Hypergraph Convolutional Networks for Fine-Grained lCU Patient Similarity Analysis and Risk PredictionYuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes, Jun Shen 0001, Jiang Bian. ichi 2024: 123-128 [doi]

Fine-grained Patient Similarity Measuring using Contrastive Graph Similarity NetworksYuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Jiang Bian, Antonio Jimeno-Yepes. ichi 2024: 1-10 [doi]

A Multi-Graph Fusion Framework for Patient Representation LearningYuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim. ichi 2024: 222-227 [doi]

Adaptive Bitrate Algorithms via Deep Reinforcement Learning With Digital Twins Assisted TrajectoryJin Ye, Shaowen Qin, Qingyu Xiao, Wenchao Jiang, Xin Tang, Xiaohuan Li. tnse, 11(4):3522-3535, July - August 2024. [doi]

2023

A Novel Application of a Mutual Information Measure for Analysing Temporal Changes in Healthcare Network GraphsDavid Ben-Tovim, Mariusz Bajger, Shaowen Qin. adma 2023: 92-102 [doi]

Stacked Attention-based Networks for Accurate and Interpretable Health Risk PredictionYuxi Liu, Zhenhao Zhang, Campbell Thompson, Richard Leibbrandt, Shaowen Qin, Antonio Jimeno-Yepes. ijcnn 2023: 1-8 [doi]

NeuralHMM: A Deep Markov Network for Health Risk Prediction using Electronic Health RecordsYuxi Liu, Zhenhao Zhang, Shaowen Qin. ijcnn 2023: 1-8 [doi]

Deep Imputation-Prediction Networks for Health Risk Prediction using Electronic Health RecordsYuxi Liu, Zhenhao Zhang, Shaowen Qin. ijcnn 2023: 1-9 [doi]

Contrastive Learning-Based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling Using EHRsYuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes. pkdd 2023: 428-443 [doi]

Stackelberg Game-Base Incentive Scheme for Federated Learning in Artificial Intelligence of ThingsShaowen Qin, Jin Ye, Xin Tang, Xiaohuan Li. ithings 2023: 159-165 [doi]

2022

2021

Network Graph Analysis of Hospital and Health Services Functional StructuresDavid Ben-Tovim, Mariusz Bajger, Viet Duong Bui, Shaowen Qin. adma 2022: 33-44 [doi]

An Interpretable Machine Learning Approach for Predicting Hospital Length of Stay and ReadmissionYuxi Liu, Shaowen Qin. adma 2022: 73-85 [doi]

2019

Using a Virtual Hospital for Piloting Patient Flow Decongestion InterventionsShaowen Qin. adma 2019: 605-616 [doi]

2018

Forecasting Hospital Daily Occupancy Using Patient Journey Data - A Heuristic ApproachShaowen Qin, Dale Ward 0002. adma 2018: 150-159 [doi]

2010

Deriving Software Acquisition Process from Maturity Models - An Experience ReportHussain Alfaraj, Shaowen Qin. jsea, 3(3):280-286, 2010. [doi]

2009

Scheduling and Routing of AMOs in an Intelligent Transport SystemKevin Chiew, Shaowen Qin. tits, 10(3):547-552, 2009. [doi]

Mining Components with Software Execution DataShaowen Qin, Bei-Bei Yin, Kai-Yuan Cai. serp 2009: 643-649

2008

A Defect Typology to Support Software Process Verification and ValidationTrent Kroeger, Fengdi Shu, Shaowen Qin. serp 2008: 245-250

2007

Managing process change in software organizations: Experience and reflectionShaowen Qin. sopr, 12(5):429-435, 2007. [doi]

Split Private and Shared L2 Cache Architecture for Snooping-based CMPXuemei Zhao, Karl Sammut, Fangpo He, Shaowen Qin. ACISicis 2007: 900-905 [doi]

2006

Implementing Process Change in a Software Organization - An Experience Based StudyShaowen Qin. ispw 2006: 342-347 [doi]

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