Xubo Yue
Assistant Professor,
Mechanical and Industrial Engineering
Contact
- x.yue@northeastern.edu
- 360 Huntington Ave
Boston, MA 02115
Research Focus
Federated data analytics, Bayesian optimization, continuous optimization, Gaussian processes, deep learning
Education
- PhD, Industrial & Operations Engineering, University of Michigan, Ann Arbor, 2023
Professional Affiliations
- Institute of Industrial and Systems Engineers (IISE) – Quality Control & Reliability Engineering (QCRE) and Data Analytics and Information Systems Division (DAIS) Sections.
- Institute for Operations Research and Management Science (INFORMS) – Quality, Statistics & Reliability (QSR) and Data Mining (DM) Sections.
- American Statistical Association (ASA) – Bayesian Statistical Science, Nonparametric Statistics, Statistical Learning and Data Science, and Statistical Computing Sections.
Research Overview
Federated data analytics, Bayesian optimization, continuous optimization, Gaussian processes, deep learning
Selected Research Projects
- Protecting Privacy and Promoting Fairness in Advanced Genomic Research using Federated Learning
- – Principal Investigator, National Science Foundation
Department Research Areas
Selected Publications
- Yue, X., Kontar, R. (2022+) “Federated Gaussian Process: Convergence Rate, Automatic Personalization and Multi-fidelity Modeling.”
- Yue, X., Nouiehed, M., Kontar, R. (2022) “GIFAIR-FL: An Approach for Group and Individual
Fairness in Federated Learning.” - Yue, X., Estrada G´omez, A. M., Kontar, R. (2022+) “Federated Data Analytics: A Study on
Linear Models.” - Yue, X., Nouiehed, M., Kontar, R. (2022+) “SALR: Sharpness-aware Learning Rates for Improved
Generalization.” - Yue, X., Kontar, R. (2022+) “Optimize to Generalize in Gaussian Processes: An Alternative
Objective Based on the R´enyi Divergence.”
Jul 24, 2025
Advancing Health Research While Safeguarding Genetic Privacy
MIE Assistant Professor Xubo Yue, in collaboration with Brown University, has received a $1M NSF grant for the project titled “SCH: Protecting Privacy and Promoting Fairness in Advanced Genomic Research using Federated Learning.” This project represents a significant step forward in advancing federated learning for large-scale, privacy-preserving analysis of biological data across multiple institutions – enabling collaboration without the need for data sharing.
Aug 18, 2023
New Faculty Spotlight: Xubo Yue
Xubo Yue joins the Mechanical and Industrial Engineering department in August 2023 as an Assistant Professor.