Shaowen Qin - RankMe

39 papers B 3C 7Journal 14Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Meta-Computing Enhanced Federated Learning in IIoT: Satisfaction-Aware Incentive Scheme via DRL-Based Stackelberg Game. IEEE Trans. Netw. Serv. Manag. Xiaohuan Li, Shaowen Qin, Xin Tang, Jiawen Kang, Jin Ye, Zhonghua Zhao, Yusi Zheng, Dusit Niyato
2025	J	`jnl`	Efficient Asynchronous Federated Evaluation with Strategy Similarity Awareness for Intent-Based Networking in Industrial Internet of Things. CoRR Shaowen Qin, Jianfeng Zeng, Haodong Guo, Xiaohuan Li, Jiawen Kang, Qian Chen, Dusit Niyato
2025	—	`conf`	Optimal Repurchasing Contract Design for Efficient Utilization of Computing Resources. IJTCS-FAW Zhengyan Deng, Yusen Zheng, Chenliang Sheng, Shaowen Qin
2025	J	`jnl`	Optimal Repurchasing Contract Design for Efficient Utilization of Computing Resources. CoRR Zhengyan Deng, Yusen Zheng, Chenliang Sheng, Shaowen Qin
2025	J	`jnl`	Satisfaction-Aware Incentive Scheme for Federated Learning in Industrial Metaverse: DRL-Based Stackbelberg Game Approach. CoRR Xiaohuan Li, Shaowen Qin, Xin Tang, Jiawen Kang, Jin Ye, Zhonghua Zhao, Dusit Niyato
2025	J	`jnl`	Topology Generation of UAV Covert Communication Networks: A Graph Diffusion Approach with Incentive Mechanism. CoRR Xin Tang, Qian Chen, Fengshun Li, Youchun Gong, Yinqiu Liu, Wen Tian, Shaowen Qin, Xiaohuan Li
2024	—	`conf`	A Multi-Graph Fusion Framework for Patient Representation Learning. ICHI Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim
2024	J	`jnl`	Adaptive Bitrate Algorithms via Deep Reinforcement Learning With Digital Twins Assisted Trajectory. IEEE Trans. Netw. Sci. Eng. Jin Ye, Shaowen Qin, Qingyu Xiao, Wenchao Jiang, Xin Tang, Xiaohuan Li
2024	—	`conf`	An Analyses of the Impact of Climatic and Environmental Conditions on COVID-19 Prevalence in Epidemic Areas in Australia, South Korea, and Italy. ADMA (4) Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Jun Shen, Jiang Bian
2024	—	`conf`	Fine-grained Patient Similarity Measuring using Contrastive Graph Similarity Networks. ICHI Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Jiang Bian, Antonio Jimeno-Yepes
2024	—	`conf`	Hypergraph Convolutional Networks for Fine-Grained lCU Patient Similarity Analysis and Risk Prediction. ICHI Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes, Jun Shen, Jiang Bian
2024	—	`conf`	Multi-Task Deep Neural Networks for Irregularly Sampled Multivariate Clinical Time Series. ICHI Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Jiang Bian
2023	—	`conf`	A Novel Application of a Mutual Information Measure for Analysing Temporal Changes in Healthcare Network Graphs. ADMA (3) David Ben-Tovim, Mariusz Bajger, Shaowen Qin
2023	—	`conf`	Contrastive Learning-Based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling Using EHRs. ECML/PKDD (6) Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes
2023	J	`jnl`	Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRs. CoRR Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes
2023	B	`conf`	Deep Imputation-Prediction Networks for Health Risk Prediction using Electronic Health Records. IJCNN Yuxi Liu, Zhenhao Zhang, Shaowen Qin
2023	J	`jnl`	Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction. CoRR Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes, Jun Shen
2023	B	`conf`	NeuralHMM: A Deep Markov Network for Health Risk Prediction using Electronic Health Records. IJCNN Yuxi Liu, Zhenhao Zhang, Shaowen Qin
2023	B	`conf`	Stacked Attention-based Networks for Accurate and Interpretable Health Risk Prediction. IJCNN Yuxi Liu, Zhenhao Zhang, Campbell Thompson, Richard Leibbrandt, Shaowen Qin, Antonio Jimeno-Yepes
2023	—	`conf`	Stackelberg Game-Base Incentive Scheme for Federated Learning in Artificial Intelligence of Things. iThings/GreenCom/CPSCom/SmartData/Cybermatics Shaowen Qin, Jin Ye, Xin Tang, Xiaohuan Li
2022	—	`conf`	Compound Density Networks for Risk Prediction using Electronic Health Records. BIBM Yuxi Liu, Shaowen Qin, Zhenhao Zhang, Wei Shao
2022	J	`jnl`	Compound Density Networks for Risk Prediction using Electronic Health Records. CoRR Yuxi Liu, Zhenhao Zhang, Shaowen Qin
2022	C	`conf`	Epidemic Modeling of the Spatiotemporal Spread of COVID-19 over an Intercity Population Mobility Network. IEA/AIE Yuxi Liu, Shaowen Qin, Zhenhao Zhang
2022	C	`conf`	Hospital Readmission Prediction via Personalized Feature Learning and Embedding: A Novel Deep Learning Framework. IEA/AIE Yuxi Liu, Shaowen Qin
2022	—	`conf`	Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values. BIBM Yuxi Liu, Shaowen Qin, Antonio Jimeno-Yepes, Wei Shao, Zhenhao Zhang, Flora D. Salim
2022	J	`jnl`	Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values. CoRR Yuxi Liu, Shaowen Qin, Antonio Jimeno-Yepes, Wei Shao, Zhenhao Zhang, Flora D. Salim
2021	C	`conf`	An Interpretable Machine Learning Approach for Predicting Hospital Length of Stay and Readmission. ADMA Yuxi Liu, Shaowen Qin
2021	C	`conf`	Network Graph Analysis of Hospital and Health Services Functional Structures. ADMA David Ben-Tovim, Mariusz Bajger, Viet Duong Bui, Shaowen Qin
2019	C	`ed.`	Advanced Data Mining and Applications - 15th International Conference, ADMA 2019, Dalian, China, November 21-23, 2019, Proceedings ADMA Jianxin Li, Sen Wang, Shaowen Qin, Xue Li, Shuliang Wang
2019	C	`conf`	Using a Virtual Hospital for Piloting Patient Flow Decongestion Interventions. ADMA Shaowen Qin
2018	C	`conf`	Forecasting Hospital Daily Occupancy Using Patient Journey Data - A Heuristic Approach. ADMA Shaowen Qin, Dale Ward
2016	J	`jnl`	Hospital Event Simulation Model: Arrivals to Discharge-Design, development and application. Simul. Model. Pract. Theory David Ben-Tovim, Jerzy A. Filar, P. Hakendorf, Shaowen Qin, C. Thompson, Dale Ward
2010	J	`jnl`	Deriving Software Acquisition Process from Maturity Models - An Experience Report. J. Softw. Eng. Appl. Hussain Alfaraj, Shaowen Qin
2009	—	`conf`	Mining Components with Software Execution Data. Software Engineering Research and Practice Shaowen Qin, Bei-Bei Yin, Kai-Yuan Cai
2009	J	`jnl`	Scheduling and Routing of AMOs in an Intelligent Transport System. IEEE Trans. Intell. Transp. Syst. Kevin Chiew, Shaowen Qin
2008	—	`conf`	A Defect Typology to Support Software Process Verification and Validation. Software Engineering Research and Practice Trent Kroeger, Fengdi Shu, Shaowen Qin
2007	J	`jnl`	Managing process change in software organizations: Experience and reflection. Softw. Process. Improv. Pract. Shaowen Qin
2007	—	`conf`	Split Private and Shared L2 Cache Architecture for Snooping-based CMP. ACIS-ICIS Xuemei Zhao, Karl Sammut, Fangpo He, Shaowen Qin
2006	—	`conf`	Implementing Process Change in a Software Organization - An Experience Based Study. SPW/ProSim Shaowen Qin