Meilin Xu

Orcid: 0009-0001-1834-3429

According to our database1, Meilin Xu authored at least 13 papers between 2016 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Hierarchical Rate-Splitting for Non-Orthogonal Broadcast Multicast and Unicast Transmission in Multibeam Satellite System.
IEEE Trans. Broadcast., June, 2026

Joint Optimization of VNF Deployment and Request Scheduling in Mobile Satellite Networks.
IEEE Trans. Netw. Sci. Eng., 2026

2025
Max-Min Fairness Beamforming with Hierarchical Rate Splitting for Multibeam Satellite System.
Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025

2024
Delay-Sensitive and Resource-Efficient VNF Deployment in Satellite-Terrestrial Networks.
IEEE Trans. Veh. Technol., October, 2024

2023
Delay-Sensitive SFC Scheduling Optimization With DRL in Satellite-Terrestrial Networks.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

2018
Clinical Similarity Based Framework for Hospital Medical Supplies Utilization Anomaly Detection: A Case Study.
Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

Using Model-Based Recursive Partitioning for Treatment-Subgroup Interactions Detection in Real-World Data: A Myocardial Infarction Case Study.
Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

2017
Applying Risk Models on Patients with Unknown Predictor Values: An Incremental Learning Approach.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Gathering Real World Evidence with Cluster Analysis for Clinical Decision Support.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Deep Diabetologist: Learning to Prescribe Hypoglycemic Medications with Recurrent Neural Networks.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Using Machine Learning Models to Predict In-Hospital Mortality for ST-Elevation Myocardial Infarction Patients.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Learning Doctors' Medicine Prescription Pattern for Chronic Disease Treatment by Mining Electronic Health Records: A Multi-Task Learning Approach.
Proceedings of the AMIA 2017, 2017

2016
Integrated Machine Learning Approaches for Predicting Ischemic Stroke and Thromboembolism in Atrial Fibrillation.
Proceedings of the AMIA 2016, 2016


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