Implementing Process Change in a Software Organization - An Experience Based Study. - Shaowen Qin (SPW/ProSim, 2006)

Split Private and Shared L2 Cache Architecture for Snooping-based CMP. - Xuemei Zhao; Karl Sammut; Fangpo He; Shaowen Qin (ACIS-ICIS, 2007)

Managing process change in software organizations: Experience and reflection. - Shaowen Qin (Softw. Process. Improv. Pract., 2007)

A Defect Typology to Support Software Process Verification and Validation. - Trent Kroeger; Fengdi Shu; Shaowen Qin (Software Engineering Research and Practice, 2008)

Mining Components with Software Execution Data. - Shaowen Qin; Bei-Bei Yin; Kai-Yuan Cai (Software Engineering Research and Practice, 2009)

Scheduling and Routing of AMOs in an Intelligent Transport System. - Kevin Chiew; Shaowen Qin (IEEE Trans. Intell. Transp. Syst., 2009)

Deriving Software Acquisition Process from Maturity Models - An Experience Report. - Hussain Alfaraj; Shaowen Qin (J. Softw. Eng. Appl., 2010)

Hospital Event Simulation Model: Arrivals to Discharge-Design, development and application. - David Ben-Tovim; Jerzy A. Filar; P. Hakendorf; Shaowen Qin; C. Thompson; Dale Ward 002 (Simul. Model. Pract. Theory, 2016)

Forecasting Hospital Daily Occupancy Using Patient Journey Data - A Heuristic Approach. - Shaowen Qin; Dale Ward 002 (ADMA, 2018)

Using a Virtual Hospital for Piloting Patient Flow Decongestion Interventions. - Shaowen Qin (ADMA, 2019)

Network Graph Analysis of Hospital and Health Services Functional Structures. - David Ben-Tovim; Mariusz Bajger; Viet Duong Bui; Shaowen Qin (ADMA, 2021)

An Interpretable Machine Learning Approach for Predicting Hospital Length of Stay and Readmission. - Yuxi Liu; Shaowen Qin (ADMA, 2021)

Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values. - Yuxi Liu; Shaowen Qin; Antonio Jimeno-Yepes; Wei Shao 006; Zhenhao Zhang; Flora D. Salim (BIBM, 2022)

Compound Density Networks for Risk Prediction using Electronic Health Records. - Yuxi Liu; Shaowen Qin; Zhenhao Zhang; Wei Shao 006 (BIBM, 2022)

Hospital Readmission Prediction via Personalized Feature Learning and Embedding: A Novel Deep Learning Framework. - Yuxi Liu; Shaowen Qin (IEA/AIE, 2022)

Epidemic Modeling of the Spatiotemporal Spread of COVID-19 over an Intercity Population Mobility Network. - Yuxi Liu; Shaowen Qin; Zhenhao Zhang (IEA/AIE, 2022)

Compound Density Networks for Risk Prediction using Electronic Health Records. - Yuxi Liu; Zhenhao Zhang; Shaowen Qin (CoRR, 2022)

A Novel Application of a Mutual Information Measure for Analysing Temporal Changes in Healthcare Network Graphs. - David Ben-Tovim; Mariusz Bajger; Shaowen Qin (ADMA (3), 2023)

NeuralHMM: A Deep Markov Network for Health Risk Prediction using Electronic Health Records. - Yuxi Liu; Zhenhao Zhang; Shaowen Qin (IJCNN, 2023)

Deep Imputation-Prediction Networks for Health Risk Prediction using Electronic Health Records. - Yuxi Liu; Zhenhao Zhang; Shaowen Qin (IJCNN, 2023)

Stacked Attention-based Networks for Accurate and Interpretable Health Risk Prediction. - Yuxi Liu; Zhenhao Zhang; Campbell Thompson; Richard Leibbrandt; Shaowen Qin; Antonio Jimeno-Yepes (IJCNN, 2023)

Stackelberg Game-Base Incentive Scheme for Federated Learning in Artificial Intelligence of Things. - Shaowen Qin; Jin Ye 003; Xin Tang; Xiaohuan Li (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2023)

Contrastive Learning-Based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling Using EHRs. - Yuxi Liu; Zhenhao Zhang; Shaowen Qin; Flora D. Salim; Antonio Jimeno-Yepes (ECML/PKDD (6), 2023)

Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction. - Yuxi Liu; Zhenhao Zhang; Shaowen Qin; Flora D. Salim; Antonio Jimeno-Yepes; Jun Shen 001 (CoRR, 2023)

An Analyses of the Impact of Climatic and Environmental Conditions on COVID-19 Prevalence in Epidemic Areas in Australia, South Korea, and Italy. - Yuxi Liu; Zhenhao Zhang; Shaowen Qin; Jun Shen 001; Jiang Bian (ADMA (4), 2024)

Multi-Task Deep Neural Networks for Irregularly Sampled Multivariate Clinical Time Series. - Yuxi Liu; Zhenhao Zhang; Shaowen Qin; Jiang Bian (ICHI, 2024)

A Multi-Graph Fusion Framework for Patient Representation Learning. - Yuxi Liu; Zhenhao Zhang; Shaowen Qin; Flora D. Salim (ICHI, 2024)

Fine-grained Patient Similarity Measuring using Contrastive Graph Similarity Networks. - Yuxi Liu; Zhenhao Zhang; Shaowen Qin; Flora D. Salim; Jiang Bian; Antonio Jimeno-Yepes (ICHI, 2024)

Hypergraph Convolutional Networks for Fine-Grained lCU Patient Similarity Analysis and Risk Prediction. - Yuxi Liu; Zhenhao Zhang; Shaowen Qin; Flora D. Salim; Antonio Jimeno-Yepes; Jun Shen 001; Jiang Bian (ICHI, 2024)

Adaptive Bitrate Algorithms via Deep Reinforcement Learning With Digital Twins Assisted Trajectory. - Jin Ye 003; Shaowen Qin; Qingyu Xiao; Wenchao Jiang; Xin Tang; Xiaohuan Li (IEEE Trans. Netw. Sci. Eng., 2024)

Optimal Repurchasing Contract Design for Efficient Utilization of Computing Resources. - Zhengyan Deng; Yusen Zheng; Chenliang Sheng; Shaowen Qin (IJTCS-FAW, 2025)

Satisfaction-Aware Incentive Scheme for Federated Learning in Industrial Metaverse: DRL-Based Stackbelberg Game Approach. - Xiaohuan Li; Shaowen Qin; Xin Tang; Jiawen Kang 001; Jin Ye 003; Zhonghua Zhao; Dusit Niyato (CoRR, 2025)

Topology Generation of UAV Covert Communication Networks: A Graph Diffusion Approach with Incentive Mechanism. - Xin Tang; Qian Chen; Fengshun Li; Youchun Gong; Yinqiu Liu; Wen Tian; Shaowen Qin; Xiaohuan Li (CoRR, 2025)