About
- Department: School of Statistics
- Gender: male
- Post: Full Professor
- Graduate School:
- Degree: Ph.D.
- Academic Credentials:
- Tel:
- Email: ddxiang@sfs.ecnu.edu.cn
- Office: Room 1308A Science Building at Putuo Campus
- Address:
- PostCode:
- Fax:
WorkExperience
November, 2016-October, 2018, The Wharton School, Univeristy of Pennsylvania, Post-doc,Mentor:Prof. Tony Cai August, 2014-now,School of Statistics, East China Normal University,Assistant Professor, Associate Professor,Professor August, 2013- July, 2014, Department of IEDA,HKUST, Post-doc,Mentor:Prof. Fugee Tsung
Education
September 2011-August 2012 School of Statistics, University of Minnesota, Joint Ph.D. student,co-Advisor:Porf. Peihua Qiu Septemeber 2007-June 2013 School of Statistics,East China Normal University, Ph.D.,Advisor:Prof. Xiaolong Pu July 2003-June 2007, School of Mathematics,Southeast University,Bachelor
Resume
Xiang Dongdong is a professor at the School of Statistics, East China Normal University. He also serves as the Assistant Dean of the School of Statistics. Xiang has been recognized as a participant in the National High-level Talents Program for Young Professionals and the Eastern Talents Program in Shanghai (formerly the Outstanding Young Talents Program in Shanghai). His primary research focuses on statistical process control, large-scale multiple testing, causal inference, and machine learning. He has published over 40 papers in SCI journals such as JRSS-B, Technometrics, JQT, NRL, and Statistica Sinica. Xiang has led over 10 projects, including National Key Research and Development Program special projects, NSFC key projects, Shanghai Applied Mathematics key projects, National Natural Science Foundation general projects, and young investigator projects.
Other Appointments
Journal of Applied Statistics, Associate Editor
Research Fields
Machine Learning Statistical Process Control Large-Scale Multiple Testing Sequential Analysis
Course
Undergraduate:Linear Algebra、Statistics Quality Management、Nonparametric Statistics、Probability and Statistics Graduate:Introduction to Statistics
Academic Achievements
Selected Publications: 15. He,Y., Kang, Y., Tsung, F. & Xiang D* (2023) Directional fault classification for correlated High-Dimensional data streams using hidden Markov models, Journal of Quality Technology, DOI: 10.1080/00224065.2023.2210320 14. Li, W., Xiang D*, Chen, G & Qiu, P. (2023) Signal Classification in Large-Scale Multi-Sequence Integrative Analysis Under the HMM Dependence, Technometrics, DOI: 10.1080/00401706.2023.2257760 13. Xiang, D., Qiu, P., Wang, D., & Li, W (2022) Reliable Post-Signal Fault Diagnosis for Correlated High-Dimensional Data Streams, Technometrics, Published Online. 12. Li, W., Tsung, F., Song, Z., Zhang, K., Xiang D.*, (2021) Multi-Sensor Based Landslide Monitoring via Transfer Learning, Journal of Quality Technology, 53(5), 474-487. 11. Kang Y., Shi Y., Jiao Y., Li W. & Xiang D*. (2021) Fitting Jump Additive Models, Computational Statistics & Data Analysis, Published online. 10. Xiang, D., Li, W. Pu, X., Tsung,F., & Kang Y. (2021). Fault Classification for High-dimensional Data Streams: A Directional Diagnostic Framework Based on Multiple Hypothesis Testing Naval Research Logistics, 68:973- 987. 9. Xiang, D., Pu, X., Ding, D., & Liang, W. (2021). An efficient charting scheme for multivariate categorical process with a sparse contingency table. Journal of Quality Technology, 53(1), 88-105. 8.Li, W.#; Xiang,D.#*; Tsung, F., Pu, X. (2020) A Diagnostic Procedure For High-Dimensional Data Streams Via Missed Discovery Rate Control, Technometrics, 62(1) 84~100 7. Xiang,D., Zhao,D.; Cai, T.T. (2019); Signal classification for the integrative analysis of multiple sequences of large-scale multiple tests, Journal of the Royal Statistical Society Series B (Statistical Methodology), 2019, 81(4) 707-734 6. Xiang, D.*, Tsung, F. and Pu, X., 2017. Statistical Process Control for Latent Quality Characteristics Using the Up-and-Down Test. Technometrics, 59(4), pp.496-507. 5. Zhang, C., Tsung, F. and Xiang, D.*, 2016. Monitoring censored lifetime data with a weighted‐likelihood scheme. Naval Research Logistics (NRL),63(8), pp.631-646. 4. Liang, W., Xiang, D*. and Pu, X., 2016. A Robust Multivariate EWMA Control Chart for Detecting Sparse Mean Shifts.Journal of Quality Technology,48(3), p.265. 3. Qiu, P. and Xiang, D.*, 2015. Surveillance of cardiovascular diseases using a multivariate dynamic screening system. Statistics in medicine,34(14), pp.2204-2221. 2. Qiu, P. and Xiang, D.*, 2014. Univariate dynamic screening system: an approach for identifying individuals with irregular longitudinal behavior.Technometrics,56(2), pp.248-260. 1. Xiang, D., Qiu, P. and Pu, X.*, 2013. Nonparametric regression analysis of multivariate longitudinal data. Statistica Sinica, pp.769-789.
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