Shaowen Qin

Orcid: 0000-0002-3591-4959

Affiliations:
  • Flinders University, Bedford Park, South Australia, Australia


According to our database1, Shaowen Qin authored at least 29 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Adaptive Bitrate Algorithms via Deep Reinforcement Learning With Digital Twins Assisted Trajectory.
IEEE Trans. Netw. Sci. Eng., 2024

Hypergraph Convolutional Networks for Fine-Grained lCU Patient Similarity Analysis and Risk Prediction.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

Fine-grained Patient Similarity Measuring using Contrastive Graph Similarity Networks.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

A Multi-Graph Fusion Framework for Patient Representation Learning.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

Multi-Task Deep Neural Networks for Irregularly Sampled Multivariate Clinical Time Series.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

2023
Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction.
CoRR, 2023

Contrastive Learning-Based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling Using EHRs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Stackelberg Game-Base Incentive Scheme for Federated Learning in Artificial Intelligence of Things.
Proceedings of the 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2023

Stacked Attention-based Networks for Accurate and Interpretable Health Risk Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2023

Deep Imputation-Prediction Networks for Health Risk Prediction using Electronic Health Records.
Proceedings of the International Joint Conference on Neural Networks, 2023

NeuralHMM: A Deep Markov Network for Health Risk Prediction using Electronic Health Records.
Proceedings of the International Joint Conference on Neural Networks, 2023

A Novel Application of a Mutual Information Measure for Analysing Temporal Changes in Healthcare Network Graphs.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
Compound Density Networks for Risk Prediction using Electronic Health Records.
CoRR, 2022

Epidemic Modeling of the Spatiotemporal Spread of COVID-19 over an Intercity Population Mobility Network.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

Hospital Readmission Prediction via Personalized Feature Learning and Embedding: A Novel Deep Learning Framework.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

Compound Density Networks for Risk Prediction using Electronic Health Records.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
An Interpretable Machine Learning Approach for Predicting Hospital Length of Stay and Readmission.
Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

Network Graph Analysis of Hospital and Health Services Functional Structures.
Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

2019
Using a Virtual Hospital for Piloting Patient Flow Decongestion Interventions.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

2018
Forecasting Hospital Daily Occupancy Using Patient Journey Data - A Heuristic Approach.
Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

2016
Hospital Event Simulation Model: Arrivals to Discharge-Design, development and application.
Simul. Model. Pract. Theory, 2016

2010
Deriving Software Acquisition Process from Maturity Models - An Experience Report.
J. Softw. Eng. Appl., 2010

2009
Scheduling and Routing of AMOs in an Intelligent Transport System.
IEEE Trans. Intell. Transp. Syst., 2009

Mining Components with Software Execution Data.
Proceedings of the 2009 International Conference on Software Engineering Research & Practice, 2009

2008
A Defect Typology to Support Software Process Verification and Validation.
Proceedings of the 2008 International Conference on Software Engineering Research & Practice, 2008

2007
Managing process change in software organizations: Experience and reflection.
Softw. Process. Improv. Pract., 2007

Split Private and Shared L2 Cache Architecture for Snooping-based CMP.
Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007

2006
Implementing Process Change in a Software Organization - An Experience Based Study.
Proceedings of the Software Process Change, 2006


  Loading...