Xubo Yue
Scholar

Xubo Yue

Google Scholar ID: NJd8WnAAAAAJ
Assistant Professor, Northeastern University
Causal learningGaussian processBayesian Optimizationfederated learning
Citations & Impact
All-time
Citations
428
 
H-index
11
 
i10-index
11
 
Publications
19
 
Co-authors
33
list available
Resume (English only)
Academic Achievements
  • Publications: Several papers selected as finalists or featured articles in conferences and journals; Awards: Dissertation chosen for Honorable Mention among those nominated for the Rackham Graduate School’s 2023 ProQuest Distinguished Dissertation Awards; Led a research team that won the DMDA Workshop Best Poster Competition; Received multi-year grants from the National Science Foundation (NSF); Organized a special session at IEEE CASE 2025, etc.
Research Experience
  • 2023 - Present, Assistant Professor (Tenure-track), Mechanical and Industrial Engineering, Northeastern University, Boston; Research topics include causal machine learning, federated learning, statistics, continuous optimization, and their applications in engineering systems.
Education
  • 2023 - Present, Assistant Professor (Tenure-track), Mechanical and Industrial Engineering, Northeastern University, Boston; 2018 - 2023, Ph.D., Industrial and Operations Engineering, University of Michigan, Ann Arbor; 2016 - 2018, M.S., Biostatistics, University of Michigan, Ann Arbor; 2014, Exchange Student, Physics, University of California, Berkeley; 2012 - 2016, B.S., Biomedical Sciences (Dean's Honor) and Applied Mathematics (Dean's Honor), University of Macau.
Background
  • Research Interest: Causal Machine Learning, Federated Learning, Continuous Optimization. Applications: Manufacturing, Health and Biology. Introduction: Tenure-track Assistant Professor in Mechanical and Industrial Engineering at Northeastern University, focusing on statistical learning and continuous optimization.
Miscellany
  • Personal Interests: Weightlifting and video gaming.