Diplomas/Degrees
Diplomas/Degrees
Ph.D. in Industrial and Systems Engineering, Rutgers University (2024)
M.S. in Management Research, Rutgers Business School (2020)
M.S. in Economics and Finance, Universitat Pompeu Fabra, Barcelona, Spain (2018)
M.S. in Applied Urban Science and Informatics, New York University (2016)
B.S. in Statistics, University of Glasgow, Glasgow, United Kingdom (2015)
B.Econ. in Statistics, Zhongnan University of Economics and Law, Wuhan, China (2015)
Professional Experience
Professional Experience
Adjunct Professor (2021-2024), Rutgers Business School, Piscataway, NJ.
Recent Courses
Recent Courses
Advanced Business Analytics
Optimization And Prescriptive Models
Courses Previously Taught
Courses Previously Taught
(RBS BAIT 287) Introduction to Business Analytics
(RBS BAIT 370) Management Information Systems
(RBS BAIT 385) Statistical Methods in Business
(RBS BAIT 386) Operations Management
(RBS BAIT 465) Enterprise Architecture
(RBS MSIS 340) Introduction to Business Research Methods
Research Interests
Research Interests
Methodology:
Advanced Machine Learning Techniques, Dimensionality Reduction, Optimization with Mixed Integer Programming, Predictive Analytics, and Time Series Analysis.
Applications:
Advanced Analytics in Business Intelligence, Financial Services, Healthcare, and Semiconductor Manufacturing.
Articles
Articles
Xie ,Y., Wang, T., Kim, J., Lee, K., & Jeong, M. K. (2024). Least angle sparse principal component analysis for ultrahigh dimensional data". Annals of Operations Research, 1572-9338.
Wang, T., Xie, Y., Jeong, Y. S., & Jeong, M. K. (2024). Dynamic sparse PCA: a dimensional reduction method for sensor data in virtual metrology. Expert Systems with Applications 251, 123995
Xie, Y., Wang, T., Jeong, M. K., & Lee, G. T. (2024). Multi-source adaptive thresholding adaboost with application to virtual metrology. International Journal of Production Research, 1-16.
Xie, Y., Wang, T., Jeong, Y. S., Tosyali, A., & Jeong, M. K. (2024). True sparse PCA for reducing the number of essential sensors in virtual metrology. International Journal of Production Research, 62(6), 2142-2157.
Lidbetter, T., & Xie, Y. (2023). The search and rescue game on a cycle. Theoretical Computer Science, 966, 114016.
Conference Presentations
Conference Presentations
Y. Xie. “Adaptive sparse PCA: enhancing interpretability and robustness in high-dimensional data”, 2024 INFORMS Annual Meeting, Seattle, WA, October 20-23, 2024.
Y. Xie, T. Wang, J. Kim, J. Lee, and M. K. Jeong. “Efficient Speed-Oriented Sparse PCA for Dimension Reduction”, INFORMS Annual Meeting, Phoenix, AZ, October 15-18, 2023.
T. Wang, J. Baek, Y. Xie, and M. K. Jeong. “Multi-Source Cross-Weight Ensemble Method for Virtual Metrology in Semiconductor Manufacturing”, INFORMS Annual Meeting, Phoenix, AZ, October 15- 18, 2023.
Y. Xie and T. Lidbetter, A Search and Rescue Game, LSE-Warwick Workshop on Search Games, London, United Kingdom, June 27-29, 2019.
Honors and Accomplishments
Honors and Accomplishments
Dean’s Meritorious Award for PTL Teaching in Recognition of Outstanding Teaching and Service Contributions, Rutgers Business School, Rutgers University, 2022
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