Weijun Xie
Orcid: 0000-0001-5157-1194Affiliations:
- Georgia Institute of Technology, Atlanta, GA, USA
- Virginia Tech, Blacksburg, VA, USA (2017 - 2022)
- Georgia Institute of Technology, Atlanta, GA, USA (PhD 2017)
- University of Illinois at Urbana Champaign, Urbana, IL, USA (2010 - 2013)
- Tsinghua University, Institute of Transportation Engineering, Department of Civil Engineering, Beijing, China (former)
According to our database1,
Weijun Xie
authored at least 39 papers
between 2009 and 2024.
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Bibliography
2024
Math. Program., November, 2024
Distributionally Favorable Optimization: A Framework for Data-Driven Decision-Making with Endogenous Outliers.
SIAM J. Optim., March, 2024
A note on quadratic constraints with indicator variables: Convex hull description and perspective relaxation.
Oper. Res. Lett., 2024
Best Principal Submatrix Selection for the Maximum Entropy Sampling Problem: Scalable Algorithms and Performance Guarantees.
Oper. Res., 2024
On the Partial Convexification of the Low-Rank Spectral Optimization: Rank Bounds and Algorithms.
Proceedings of the Integer Programming and Combinatorial Optimization, 2024
Proceedings of the IEEE International Conference on Communications, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Intell. Transp. Syst., December, 2023
Transp. Sci., July, 2023
2022
Oper. Res., November, 2022
Distributionally robust bottleneck combinatorial problems: uncertainty quantification and robust decision making.
Math. Program., 2022
Optimized Bonferroni approximations of distributionally robust joint chance constraints.
Math. Program., 2022
Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee.
J. Mach. Learn. Res., 2022
On Cluster-Aware Supervised Learning: Frameworks, Convergent Algorithms, and Applications.
INFORMS J. Comput., 2022
D<sup>2</sup>BF - Data-Driven Beamforming in MU-MIMO with Channel Estimation Uncertainty.
Proceedings of the IEEE INFOCOM 2022, 2022
2021
Clustered Discriminant Regression for High-Dimensional Data Feature Extraction and Its Applications in Healthcare and Additive Manufacturing.
IEEE Trans Autom. Sci. Eng., 2021
Math. Program., 2021
Multiproduct Newsvendor Problem with Customer-Driven Demand Substitution: A Stochastic Integer Program Perspective.
INFORMS J. Comput., 2021
Eur. J. Oper. Res., 2021
2020
Tractable reformulations of two-stage distributionally robust linear programs over the type-∞ Wasserstein ball.
Oper. Res. Lett., 2020
Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms.
CoRR, 2020
2019
Proceedings of the Conference on Learning Theory, 2019
2018
On Deterministic Reformulations of Distributionally Robust Joint Chance Constrained Optimization Problems.
SIAM J. Optim., 2018
Math. Program., 2018
Math. Program., 2018
Approximate Positively Correlated Distributions and Approximation Algorithms for D-optimal Design.
CoRR, 2018
Approximate Positive Correlated Distributions and Approximation Algorithms for D-optimal Design.
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, 2018
2017
Nonanticipative duality, relaxations, and formulations for chance-constrained stochastic programs.
Math. Program., 2017
2016
Transp. Sci., 2016
Comput. Aided Civ. Infrastructure Eng., 2016
Proceedings of the Integer Programming and Combinatorial Optimization, 2016
2013
Dynamic Planning of Facility Locations with Benefits from Multitype Facility Colocation.
Comput. Aided Civ. Infrastructure Eng., 2013
2009
Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, 2009