Weijun Xie

Coca-Cola Foundation Early Career Professor and
Associate Professor

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Education

  • Ph.D. Operations Research (2017), Georgia Institute of Technology
  • M.S. Civil Engineering (2013), University of Illinois Urbana-Champaigan
  • M.S. Applied Mathematics (2012), University of Illinois Urbana-Champaigan
  • B.S. Civil Engineering (2010), Tsinghua University

Expertise

  • Optimization
  • Logistics & Transportation
  • Machine Learning

About

Dr. Weijun Xie is an Associate Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Prior to joining ISyE, he was Assistant Professor at the Grado Department of Industrial and Systems Engineering, Virginia Tech from August 2017 to July 2022. 

Research

Dr. Xie's research interests are theory and applications of stochastic, discrete, and convex optimization.

Teaching

Different variants of optimization, machine learning, transportation and supply chain.

Representative Publications

  1. Li, Y.*, Xie, W. (2025). On the Partial Convexification for Low-rank Spectral Optimization: Rank bounds and Algorithms. Mathematical Programming. Accepted. [preprint]

  2. Jiang, N.*, Xie, W. (2025). On Tractability, Complexity, and Mixed-Integer Convex Programming Representability of Distributionally Favorable Optimization. Mathematical Programming. Accepted. [preprint]

  3. Wang, J., Xie, W., Ryzhov, I.O. (2025).  Algorithms for budget-constrained D-optimal design. Mathematics of Operations Research. Accepted. [preprint]

  4. Rozas, H., Xie, W., Gebraeel, N., Robinson, S. (2025). Data-driven joint optimization of maintenance and spare parts provisioning: A distributionally robust approach. European Journal of Operational Research. Accepted. [paper]

  5. Han, D., Jiang, N.*, Dey, S.S., Xie, W. (2025). Regularized MIP Model for Optimal Power Flow with Energy Storage Systems and its Applications.  INFORMS Journal on Computing. Accepted. [preprint]

  6. Wang, J., Xie, W., Ryzhov, I.O., Marković, N., Ou, G. (2025).  D-optimal orienteering for post-earthquake reconnaissance planning. Operations Research, 73(5), 2375-2395. [preprint]

  7. Jiang, N.*, Xie, W. (2025). ALSO-X#: Better Convex Approximations for Distributionally Robust Chance Constrained Programs. Mathematical Programming, 213, 575–638. [preprint][slides]

  8. Sun, L.*, Deng, H.*, Wei, P., Xie, W. (2025). Fair and Risk-averse Urban Air Mobility Resource Allocation Under Uncertainties. Naval Research Logistics, 72, 111–132.  [preprint]

  9. Rozas, H., Xie, W., and Gebraeel, N. (2025). Condition-based maintenance for wind farms using a distributionally robust chance-constrained program. IEEE Transactions on Power Systems, 40(1), 231-243. [paper]

  10. Jiang, N.*, Xie, W. (2025). The Terminator: An Integration of Inner and Outer Approximations for Solving Regular and Distributionally Robust Chance Constrained Programs via Variable Fixing. INFORMS Journal on Computing, 37(2), 381-412. [preprint][slides]

  11. Li, Y.*, Xie, W. (2025). Exact and Approximation Algorithms for Sparse PCA. INFORMS Journal on Computing, 37(3), 582-602. [preprint][poster abstract]

  12. Gomez, A., Xie, W. (2024). A note on quadratic constraints with indicator variables: Convex hull description and perspective relaxation. Operations Research Letters, 52, 107059-107065. [preprint]

  13. Jiang, N.*, Xie, W. (2024). Distributionally Favorable Optimization: A Framework for Data-driven Decision-making with Endogenous Outliers. SIAM Journal on Optimization, 34(1), 419-458. [preprint]

  14. Li, Y.*, Xie, W. (2024). Beyond Symmetry: Best Submatrix Selection for the Sparse Truncated SVD. Mathematical Programming, 208 (1), 1-50. [preprint]

  15. Li, Q., Li, X., Yao, H., Liang, Z., Xie, W. (2023). Automated Vehicle Identification Based on Car-Following Data With Machine Learning. IEEE Transactions on Intelligent Transportation Systems, 24(12), 13893-13902. [preprint]

  16. Li, Y.*, Fampa, M., Lee, J., Qiu, F., Xie, W., Yao, R. (2023). D-optimal Data Fusion: Exact and Approximation Algorithms. INFORMS Journal on Computing, 36(1), 97–120. [preprint]

  17. Li, Y.*, Xie, W. (2023). Best Principal Submatrix Selection for the Maximum Entropy Sampling Problem: Scalable Algorithms and Performance Guarantees. Operations Research, 72(2), 493–513. [preprint][poster][codes][video]

  18. Shen., B., Xie, W., Kong, J. (2022). Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee. Journal of Machine Learning Research, 23(217),1-40. [paper]

  19. Sun, L.*, Xie, W., Witten, T. (2022). Distributionally Robust Fair Transit Resource Allocation During a Pandemic. Transportation Science, 57 (4), 954–978. [preprint][slides]

  20. Jiang, N.*, Xie, W. (2022). ALSO-X and ALSO-X+: Better Convex Approximations for Chance Constrained Programs. Operations Research, 70(6), 3581-3600. [preprint][slides][codes]

  21. Shen., B., Xie, W., Kong, J. (2021). Clustered Discriminant Regression for High Dimensional Data Feature Extraction and its Application in Additive Manufacturing. IEEE Transactions on Automation Science and Engineering, 18(4), 1998 - 2010. [paper]

  22. Zhang, J.*, Xie, W., Sarin, S.C. (2021). Multi-Product Newsvendor Problem with Customer-driven Demand Substitution: A Stochastic Integer Program Perspective. INFORMS Journal on Computing, 33(3), 1229-1244. [preprint][data]

  23. Chen, Z., Xie, W. (2021). Regret in the Newsvendor Model with Demand and Yield Randomness. Production and Operations Management, 30(11): 4176-4197. (Authors in alphabetical order) [preprint]

  24. Xie, W. (2021). On Distributionally Robust Chance Constrained Programs with Wasserstein Distance. Mathematical Programming, 186(1), 115-155. [preprint]