Chengliang Yang

Orcid: 0000-0003-1151-5571

According to our database1, Chengliang Yang authored at least 11 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Understanding Accelerated Graph Clustering via Local Grouping.
Proceedings of the 7th International Conference on Information and Computer Technologies, 2024

2019
Expenditure variations analysis using residuals for identifying high health care utilizers in a state Medicaid program.
BMC Medical Informatics Decis. Mak., 2019

Research on Tobacco Silk Making Scheduling Based on Improved DE.
Proceedings of the Artificial Intelligence Algorithms and Applications, 2019

2018
Supervoxel-based segmentation of 3D imagery with optical flow integration for spatiotemporal processing.
IPSJ Trans. Comput. Vis. Appl., 2018

Global Model Interpretation Via Recursive Partitioning.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Clustering Inter-Arrival Time of Health Care Encounters for High Utilizers.
Proceedings of the 20th IEEE International Conference on e-Health Networking, 2018

Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification.
Proceedings of the AMIA 2018, 2018

2017
Machine Learning Approaches for Predicting High Utilizers in Health Care.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

Identifying High Health Care Utilizers Using Post-Regression Residual Analysis of Health Expenditures from a State Medicaid Program.
Proceedings of the AMIA 2017, 2017

2016
Predicting 30-day all-cause readmissions from hospital inpatient discharge data.
Proceedings of the 18th IEEE International Conference on e-Health Networking, 2016

Supervoxel-Based Segmentation of 3D Volumetric Images.
Proceedings of the Computer Vision - ACCV 2016, 2016


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