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Contact Information:
Email: x.yue at northeastern dot edu
Introduction
Introduction
I am a Tenure-track Assistant Professor in Mechanical and Industrial Engineering at Northeastern University. My research mainly focuses on statistical learning and continuous optimization. My research topics include causal machine learning, federated learning, Statistics, Continuous optimization, and their applications in Engineering Systems.
My research is supported by Northeastern University (NEU) and National Science Foundation (NSF).
Outside of work, I enjoy weightlifting and video gaming.
Research Interest
Research Interest
Theory: Causal Machine Learning, Federated Learning, Continuous Optimization.
Applications: Manufacturing, Health and Biology
Besides those, I am also actively exploring other new research directions. Please reach out to me for any possible collaboration.
Education & Professional Experience
Education & Professional Experience
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
News
News
July 23, 2025: Our group has been awarded multi-year grants from the National Science Foundation (NSF).
Feb 09, 2025: our proposal for the special session entitled "Federated and Distributed Learning for Cyber-Physical Systems" has been accepted and the session will be included in the technical program of the 2025 IEEE 21st International Conference on Automation Science and Engineering (CASE) to be held in Los Angeles, USA, on August 17-21, 2025.
Dec 05, 2024: Check my recent talk at IISE webinar. [Link]
Sep 01, 2024: Jianhong Chen and Xiaofeng Xiao have joined my group. Welcome!
Aug 05, 2024: Check my recent interview from University of Macau. [Link]
Mar 06, 2024: my dissertation has been chosen for Honorable Mention among those that were nominated for the Rackham Graduate School’s 2023 ProQuest Distinguished Dissertation Awards.
Sep 08, 2023: our paper "Federated Data Analytics: A Study on Linear Models" has been selected as a Featured Article in the December 2023 issue of the Industrial and Systems Engineering (ISE) Magazine. [Link]
June 09, 2023: I have successfully defended my PhD thesis.
Apr 13, 2023: I will join Mechanical and Industrial Engineering at Northeastern University as an assistant professor in Aug 2023.
Jan 31, 2023: our paper "Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling” has been selected as a finalist for the JSM 2023 SPES+Q&P Student Paper Competition.
Oct 16, 2022: our team won the DMDA Workshop Best Poster Competition.
Aug 30, 2022: our paper "Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling” has been selected as a finalist for the INFORMS 2022 Data Mining Best Paper Competition Award (Student Track).
May 17, 2022: our paper "Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks" has been selected as a finalist in the 2022 IISE QCRE/ProcessMiner Data Challenge Competition.
May 23, 2022: this paper won the first prize!
Jan 24, 2022: I have been nominated for the IOE Graduate Richard and Eleanor Towner Prize for Distinguished Academic Achievement.
Jan 6, 2022: our paper "The Internet of Federated Things (IoFT)" has been selected as a featured IEEE Access article. [link]
Sep 29, 2021: our paper "An Approach for Group and Individual Fairness in Federated Learning" has been selected as a Best Paper Award finalist in the QSR Best Paper Competition, 2021.
Apr 29, 2021: our paper "Parameter Calibration in wake effect simulation model with Stochastic Gradient Descent and stratified sampling" has been selected as a Best Student Paper Award finalist and also a Best Paper Award finalist in Data Analytics & Information Systems (DAIS) Division of IISE, 2021.
Mar 14, 2021: I have been selected to receive a Rackham Predoctoral Fellowship. [link]
Feb 26, 2021: my talk in MSSISS 2021 has been selected as the Best Oral Presentation.
Oct 18, 2020: our paper "The Renyi Gaussian Process: Towards Improved Generalization" has been selected as the Best Paper finalist in the theoretical track for the 15th Institute for Operations Research and the Management Sciences (INFORMS) Virtual Workshop on Data Mining and Decision Analytics, 2020.
June 18, 2020: I have achieved my Ph.D. candidacy status.
May 1, 2020: our paper "The Renyi Gaussian Process: Towards Improved Generalization" is awarded IOE Wilson Prize. This prize is given to the Best Student Paper dealing with any application of industrial and operations engineering.
Apr 16, 2019: our paper “Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes”, has been selected as a Best Student Paper Award finalist in Quality Control and Reliability Engineering (QCRE) Section of IISE, 2019.
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