Supervoxel-Based Segmentation of 3D Volumetric Images. - Chengliang Yang; Manu Sethi; Anand Rangarajan 001; Sanjay Ranka (ACCV (1), 2016)

Predicting 30-day all-cause readmissions from hospital inpatient discharge data. - Chengliang Yang; Chris Delcher; Elizabeth Shenkman; Sanjay Ranka (HealthCom, 2016)

Identifying High Health Care Utilizers Using Post-Regression Residual Analysis of Health Expenditures from a State Medicaid Program. - Chengliang Yang; Chris Delcher; Elizabeth Shenkman; Sanjay Ranka (AMIA, 2017)

Machine Learning Approaches for Predicting High Utilizers in Health Care. - Chengliang Yang; Chris Delcher; Elizabeth Shenkman; Sanjay Ranka (IWBBIO (2), 2017)

Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification. - Chengliang Yang; Anand Rangarajan 001; Sanjay Ranka (AMIA, 2018)

Clustering Inter-Arrival Time of Health Care Encounters for High Utilizers. - Chengliang Yang; Chris Delcher; Elizabeth Shenkman; Sanjay Ranka (HealthCom, 2018)

Global Model Interpretation Via Recursive Partitioning. - Chengliang Yang; Anand Rangarajan 001; Sanjay Ranka (HPCC/SmartCity/DSS, 2018)

Supervoxel-based segmentation of 3D imagery with optical flow integration for spatiotemporal processing. - Xiaohui Huang 004; Chengliang Yang; Sanjay Ranka; Anand Rangarajan 001 (IPSJ Trans. Comput. Vis. Appl., 2018)

Research on Tobacco Silk Making Scheduling Based on Improved DE. - Qi Ji; Wei Wang; Mingmeng Meng; Chengliang Yang; Zhongmin Zhang (ISICA, 2019)

Expenditure variations analysis using residuals for identifying high health care utilizers in a state Medicaid program. - Chengliang Yang; Chris Delcher; Elizabeth Shenkman; Sanjay Ranka (BMC Medical Informatics Decis. Mak., 2019)

Understanding Accelerated Graph Clustering via Local Grouping. - Chengliang Yang (ICICT, 2024)