News

I have graduated from University of Florida with a Ph.D. in Computer Science, and have been working in industry for years. For details please see my Linkedin profile. If you are interested in my research projects, I can still be reached by the email on this page.

About

I am pursuing a PhD in computer science with focus on machine learning and data mining, under the supervision from Dr. Sanjay Ranka. My research interests lie in digging out unrevealed knowledge from various data sources by designing and applying new machine learning methods. Currently I am working with heterogeneous medical datasets to develop data-driven personalized medicine applications, leveraging machine learning (especially deep learning) and computer vision techniques.

Publications

Book

  • Yang, Chengliang, Chris Delcher, Elizabeth Shenkman, and Sanjay Ranka. Data Driven Approaches for Healthcare: Machine Learning for Identifying High Utilizers. CRC Press, 2019.

    • Conference Papers

  • Yang, Chengliang, Chris Delcher, Elizabeth Shenkman, and Sanjay Ranka. Clustering inter-arrival time of health care encounters for high utilizers. In 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom), pp. 1-6. IEEE, 2018.
  • Yang, Chengliang, Anand Rangarajan, and Sanjay Ranka. Global model interpretation via recursive partitioning. In 2018 IEEE 4th International Conference on Data Science and Systems (DSS), pp. 1563-1570. IEEE, 2018. [code]
  • Yang, Chengliang, Anand Rangarajan, and Sanjay Ranka. Visual explanations from deep 3D convolutional neural networks for Alzheimer’s disease classification. In AMIA Annual Symposium Proceedings, vol. 2018, p. 1571. American Medical Informatics Association, 2018. [code]
  • Yang, Chengliang, Chris Delcher, Elizabeth Shenkman, and Sanjay Ranka. Machine learning approaches for predicting high utilizers in health care. In International Conference on Bioinformatics and Biomedical Engineering, pp. 382-395. Springer, Cham, 2017.
  • Yang, Chengliang, Chris Delcher, Elizabeth Shenkman, and Sanjay Ranka. Identifying high health care utilizers using post-regression residual analysis of health expenditures from a state medicaid program. In AMIA Annual Symposium Proceedings, vol. 2017, p. 1848. American Medical Informatics Association, 2017.
  • Yang, Chengliang, Manu Sethi, Anand Rangarajan, and Sanjay Ranka. Supervoxel-based segmentation of 3d volumetric images. In Asian Conference on Computer Vision, pp. 37-53. Springer, Cham, 2016. [code]
  • Yang, Chengliang, Chris Delcher, Elizabeth Shenkman, and Sanjay Ranka. Predicting 30-day all-cause readmissions from hospital inpatient discharge data. In 2016 IEEE 18th International conference on e-Health networking, applications and services (Healthcom), pp. 1-6. IEEE, 2016.

    • Journal Articles

  • Yang, Chengliang, Chris Delcher, Elizabeth Shenkman, and Sanjay Ranka. Expenditure variations analysis using residuals for identifying high health care utilizers in a state Medicaid program. BMC medical informatics and decision making 19, no. 1 (2019): 1-15.
  • Huang, Xiaohui, Chengliang Yang, Sanjay Ranka, and Anand Rangarajan. Supervoxel-based segmentation of 3D imagery with optical flow integration for spatiotemporal processing. IPSJ Transactions on Computer Vision and Applications 10, no. 1 (2018): 1-16.
  • Yang, Chengliang, Chris Delcher, Elizabeth Shenkman, and Sanjay Ranka. Machine learning approaches for predicting high cost high need patient expenditures in health care. biomedical engineering online 17, no. 1 (2018): 1-20.
  • Delcher, Chris, Chengliang Yang, Sanjay Ranka, Joseph Adrian Tyndall, Bruce Vogel, and Elizabeth Shenkman. Variation in outpatient emergency department utilization in Texas Medicaid: a state-level framework for finding “superutilizers”. International journal of emergency medicine 10, no. 1 (2017): 1-9.

    • Dissertation

  • Yang, Chengliang. Interpretable Machine Learning with Applications in Health Care

    • Education

    Ph.D., Computer Science, 08/2013 - 05/2018, University of Florida

    Bachelor’s Degree, Mathematics, 08/2009 - 06/2013, Zhejiang University

    Contact

    • Address

      University of Florida
      E429, CSE Building
      Gainesville, FL, 32611
      United States

    • Email

      ximen14 AT ufl.edu