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朱 明西
Hello! Thanks for visiting my site. I am currently an Assistant Professor at Information Technology Management group at Scheller College of Business of Georgia Institute of Technology.
I am generally interested in distributed optimization and decomposition design with GPU-accelerated implementation. This includes primal-dual and higher-order distributed optimizers to mitigate heterogeneity (e.g., ADMM, PDHG, Newton methods, preconditioning, conjugate gradients), and decomposition methods (multi-block ADMM variants, block-coordinate descent, column generation) in GPU.
Before joining Scheller, I graduated Operations, Information & Technology field at Stanford Graduate School of Business. I am fortunate to be co-advised by Professor Haim Mendelson and Professor Yinyu Ye. I completed my undergraduate study with degrees on B.A. in English Literature and B.Ec. in Economics at Beijing Foreign Studies University, and I completed my master study with degree on Economics at Duke University.
View my Curriculum Vitae here.
Contact me at mingxi.zhu at scheller.gatech.edu
Research Projects
Managing Randomization in the Multi-Block Alternating Direction Method of Multipliers for Quadratic Optimization
Mathematical Programming Computation , volume 13, (2021), with Kresimir Mihic, Yinyu Ye.
Check our solver here ! ( https://github.com/kmihic/RACQP )
How First- and Higher-Order Primal-Dual Optimizers Accelerate Distributed Training under Data Heterogeneity
with Yinyu Ye.
Best Paper award, "Order up! The Benefits of Higher-Order Optimization in Machine Learning" workshop, NeurIPS, 2022, New Orleans.
PD-Muon: A Primal-Dual Optimizer for LLM Pretraining under Heterogeneity
Solo, in progress
Hybrid Federated Learning for LLM Fine-tuning under Heterogeneous Privacy
with Shuang Gao and Olivia Sheng
Alternative Formulations and GPU Optimization methods for Discrete-Choice Preference Learning
With Haoge Chang and Kota Saito
Federated Learning on Algorithms, Responsibilities, and Economics (FLARE) : Integrating Federated Learning into Business Research and Applications
With Xiao Liu, Hong Guo, Heng Xu
Major Revision at Information Systems Research
Provision of Cybersecurity Resources to SMBs: The Investment Pitfall of Security Interdependence
With Terrence August and Marius Florin Niculescu
Learning By Doing : The Case of Online Lending
With Haim Mendelson.
Major Revision at Production and Operations Management
Design Information Disclosure under Bidder Heterogeneity in Online Advertising Auctions: Implications of Bid-Adherence Behavior
With Michelle Song.
R&R at Manufacturing & Service Operations Management
Near-Optimal Dynamic Pricing in Large Networks
With Ozan Candogan and Yuwei Luo.
Teaching
Instructor, MGT 2210, Information System & Digital Transformation (2024-2026, Spring), Scheller College of Business, Georgia Institute of Technology
Instructor, MGT 8803, Economics of AI and Machine Learning (2026, Spring), Scheller College of Business, Georgia Institute of Technology
Instructor, MGT 8803, Special Issues of Information Systems (2024, Spring), Scheller College of Business, Georgia Institute of Technology
TA, MS&E 211 X, Introduction to Optimization (2021, Fall), Engineering School, Stanford University.
TA, OIT 652, Modeling (2021, Spring), Graduate School of Business, Stanford University
TA , OIT 356, Electronic Business ( 2020-2021, Spring ), Graduate School of Business, Stanford University
Math Camp Instructor ( 2016, Fall ), Department of Economics, Duke University
Services
Reviewer for Management Science, Operations Research, Information Systems Research, Production and Operations Management, MIS Quarterly, Mathematics of Operations Research
Student Advisor, MS&E Undergraduate Diversity in Research Program, MS&E Diversity Equity and Inclusion Committee, 2021 - 2022
Board Member, Stanford Graduate School Business Greater China Business Club, 2018 - 2019
Honors and Fellowships
The Institutional Venture Partners Fellowship Fund, 2020 - 2021
The David S. Tappan Jr. Fellowship Fund, 2019 - 2020
The Robert J. and Doreen D. Marshall Scholarship Fund, 2018 - 2019
George A. and Barbara Cull Jedenoff Fellowship, 2017 - 2018
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