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Yixun Xing

Title: Clinical Assistant Professor

Department: ADA - Advanced Data Analytics

College: University of North Texas

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, Southern Methodist University, 2015
    Major: Statistical Science
  • MS, Southern Methodist University, 2013
    Major: Statistical Science

Current Scheduled Teaching

ADTA 5410.003Applications and Deployment of Advanced AnalyticsFall 2024
ADTA 5410.004Applications and Deployment of Advanced AnalyticsFall 2024
ADTA 5230.411Data Analytics IIFall 8W2 2024

Previous Scheduled Teaching

ADTA 5410.001Applications and Deployment of Advanced AnalyticsSpring 2024 SPOT
ADTA 5410.003Applications and Deployment of Advanced AnalyticsSpring 2024 SPOT
IPAC 4230.400Data Analytics and Computational Statistics 2Spring 8W1 2024 Syllabus SPOT
ADTA 5230.400Data Analytics IISpring 8W1 2024 SPOT
ADTA 5410.001Applications and Deployment of Advanced AnalyticsFall 2023 Syllabus SPOT
ADTA 5410.002Applications and Deployment of Advanced AnalyticsFall 2023 Syllabus SPOT
ADTA 5230.001Data Analytics IIFall 2023 Syllabus SPOT
ADTA 5230.011Data Analytics IIFall 2023 Syllabus SPOT
ADTA 5230.100Data Analytics IISummer 8W1 2023 SPOT
ADTA 5410.001Applications and Deployment of Advanced AnalyticsSpring 2023 SPOT
IPAC 4230.110Data Analytics and Computational Statistics 2Spring 8W2 2023 Syllabus SPOT
IPAC 4230.501Data Analytics and Computational Statistics 2Spring 2023 Syllabus SPOT
ADTA 5230.110Data Analytics IISpring 8W2 2023 SPOT
ADTA 5230.111Data Analytics IISpring 8W2 2023 SPOT
ADTA 5230.501Data Analytics IISpring 2023 SPOT
ADTA 5130B.001Sampling, Inference, and Hypothesis TestingSpring 4W2 2023
ADTA 5410.001Applications and Deployment of Advanced AnalyticsFall 2022 SPOT
IPAC 4230.100Data Analytics and Computational Statistics 2Fall 8W1 2022 Syllabus SPOT
IPAC 4230.110Data Analytics and Computational Statistics 2Fall 8W2 2022 Syllabus SPOT
ADTA 5230.100Data Analytics IIFall 8W1 2022 SPOT
ADTA 5230.110Data Analytics IIFall 8W2 2022 SPOT
IPAC 4130.501Data Analytics and Computational Statistics 1Spring 2022 Syllabus SPOT
IPAC 4230.110Data Analytics and Computational Statistics 2Spring 8W2 2022 SPOT
IPAC 4230.501Data Analytics and Computational Statistics 2Spring 2022 Syllabus SPOT
ADTA 5130.501Data Analytics ISpring 2022 Syllabus SPOT
ADTA 5230.110Data Analytics IISpring 8W2 2022 SPOT
ADTA 5230.501Data Analytics IISpring 2022 SPOT
IPAC 4130.100Data Analytics and Computational Statistics 1Fall 8W2 2021 SPOT
IPAC 4130.501Data Analytics and Computational Statistics 1Fall 2021 Syllabus SPOT
ADTA 5130.100Data Analytics IFall 8W2 2021 SPOT
ADTA 5130.126Data Analytics IFall 8W2 2021
ADTA 5130.501Data Analytics IFall 2021 SPOT
ADTA 5230.501Data Analytics IIFall 2021 SPOT

Published Intellectual Contributions

    Journal Article

  • Wu, C., Nguyen, D., Xing, Y., Montero, A., Schuemann, J., Shang, H., Pu, Y., Jiang, S. (2021). Improving Proton Dose Calculation Accuracy by Using Deep Learning. Machine Learning: Science and Technology, in press.
  • Xing, Y., Zhang, Y., Nguyen, D., Lin, M., Lu, W., Jiang, S. (2020). Boosting Radiotherapy Dose Calculation Accuracy with Deep Learning. Journal of Applied Clinical Medical Physics, 21(8): 149-159..
  • Xing, Y., Woodward, W.A. (2020). R-Squared-Bootstrapping for Gegenbauer-Type Long Memory. Comput Econ, 57: 773-790..
  • Xing, Y., Woodward, W. (2018). R/S-bootstrapping Test for Fractional Integration. Communications in Statistics-Simulation and Computation, 49(6): 1467-1473..
  • Technical Report

  • Xing, Y., Nguyen, D., Lu, W., Yang, M., Jiang, S. (2019). Technical Note: A Feasible Study on Deep Learning-Based Radiotherapy Dose Calculation in Medical Physics. Medical Physics, 47(2): 753-758..
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Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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