Ruiyang Wu

Asst Professor

Zicklin School of Business

Department: Paul Chook Dept InfoSys & Stat

Areas of expertise:

Email Address: ruiyang.wu@baruch.cuny.edu

Education

Ph.D., Mathematics, University of Arizona Tucson United States

M.Sc., Statistics and Data Science, University of Arizona Tucson United States

B.Sc., Mathematics and Applied Mathematics, Peking University Beijing China

Journal Articles

(2025). Dynamic supervised principal component analysis for classification. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 34(4). 1446-1455.

(2024). DDAC-SpAM: A distributed algorithm for fitting high-dimensional sparse additive models with feature division and decorrelation. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 119(547). 1933-1944.

(2022). Quadratic discriminant analysis by projection. JOURNAL OF MULTIVARIATE ANALYSIS, 190. 104987.

Presentations

Wu, R. Solution Path for a Shifted Maximum Subarray Problem and its Applications to Change-Point Detection. The 9th International Workshop in Sequential Methodologies (IWSM 2026). Washington, D.C.

Wu, R. Dynamic Supervised Principal Component Analysis for Classification. 2025 ICSA China Conference. Zhuhai, China

Wu, R. Dynamic Supervised Principal Component Analysis for Classification. IMS/ASA Spring Research Conference 2025. New York, NY

Wu, R. Dynamic Supervised Principal Component Analysis for Classification. The 8th International Conference on Econometrics and Statistics (EcoSta 2025). Tokyo, Japan

Wu, R. DDAC-SpAM: A Distributed Algorithm for Fitting High-dimensional Sparse Additive Models with Feature Division and Decorrelation. Departmental Seminar, Baruch College, CUNY. New York, NY

Wu, R. DDAC-SpAM: A Distributed Algorithm for Fitting High-dimensional Sparse Additive Models with Feature Division and Decorrelation. Departmental Seminar, New Jersey Institute of Technology. Newark, NJ

Wu, R. DDAC-SpAM: A Distributed Algorithm for Fitting High-dimensional Sparse Additive Models with Feature Division and Decorrelation. Departmental Seminar, Florida Atlantic University. Boca Raton, FL

Wu, R. Quadratic Discriminant Analysis by Projection. 2022 ICSA China Conference. Remote

Wu, R. Quadratic Discriminant Analysis by Projection. TRIPODS 2nd Southwest Summer Conference. Oracle, AZ

Wu, R. Quadratic Discriminant Analysis by Projection. ICSA 2018 Applied Statistics Symposium. New Brunswick, NJ

Honor / AwardOrganization SponsorDate ReceivedDescription
Galileo Circle ScholarshipCollege of Science, University of Arizona2021-03-22
Data Science Academy FellowshipUniversity of Arizona2020-11-19
Galileo Circle ScholarshipCollege of Science, University of Arizona2019-02-27

Professional

OrganizationPosition RoleOrganization StateOrganization CountryStart DateEnd DateAudience
Journal of Computational and Graphical StatisticsReviewer, Journal Article2/21/2025PresentInternational
Electronic Journal of StatisticsReviewer, Journal Article9/23/2024PresentInternational
Statistics: A Journal of Theoretical and Applied StatisticsReviewer, Journal Article8/15/2024PresentInternational
Computational Statistics & Data AnalysisReviewer, Journal Article8/15/2023PresentInternational
Journal of the American Statistical AssociationReviewer, Journal Article10/15/2023PresentInternational
Transactions on Knowledge Discovery from DataReviewer, Journal Article2/16/2026PresentInternational
Communications in Statistics – Simulation and ComputationReviewer, Journal Article2/21/2026PresentInternational
Statistics and ComputingReviewer, Journal Article1/5/2026PresentInternational
AASF AIX Summit East 2026 Poster Session CommitteeCommittee Member2/1/20264/17/2026International
2025 ICSA China Conference Program CommitteeCommittee Member11/16/20246/30/2025International
2025 ICSA China ConferenceSession Chair6/28/20256/30/2025International
IMS/ASA Spring Research Conference 2025Session Chair6/3/20256/5/2025International

Public

OrganizationPosition RoleOrganization StateOrganization CountryStart DateEnd DateAudience
Tucson Festival of BooksVolunteerArizona3/12/20223/13/2022Local