Weijun Xie

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 37

Top Topics

Chance Constrained

Top Venues

INFORMS J. Comput.

Publications

Zhuangzhuang Jia, Grani A. Hanasusanto, Phebe Vayanos, Weijun Xie
Learning Fair Policies for Multi-Stage Selection Problems from Observational Data. AAAI (2024)
Yongchun Li, Weijun Xie
Best Principal Submatrix Selection for the Maximum Entropy Sampling Problem: Scalable Algorithms and Performance Guarantees. Oper. Res. 72 (2) (2024)
Yongchun Li, Marcia Fampa, Jon Lee, Feng Qiu, Weijun Xie, Rui Yao
D-Optimal Data Fusion: Exact and Approximation Algorithms. INFORMS J. Comput. 36 (1) (2024)
Andrés Gómez, Weijun Xie
A note on quadratic constraints with indicator variables: Convex hull description and perspective relaxation. Oper. Res. Lett. 52 (2024)
Nan Jiang, Weijun Xie
Distributionally Favorable Optimization: A Framework for Data-Driven Decision-Making with Endogenous Outliers. SIAM J. Optim. 34 (1) (2024)
Yongchun Li, Weijun Xie
On the Partial Convexification of the Low-Rank Spectral Optimization: Rank Bounds and Algorithms. IPCO (2024)
Qianwen Li, Xiaopeng Li, Handong Yao, Zhaohui Liang, Weijun Xie
Automated Vehicle Identification Based on Car-Following Data With Machine Learning. IEEE Trans. Intell. Transp. Syst. 24 (12) (2023)
Luying Sun, Weijun Xie, Tim Witten
Distributionally Robust Fair Transit Resource Allocation During a Pandemic. Transp. Sci. 57 (4) (2023)
Weijun Xie, Shabbir Ahmed, Ruiwei Jiang
Optimized Bonferroni approximations of distributionally robust joint chance constraints. Math. Program. 191 (1) (2022)
Nan Jiang, Weijun Xie
ALSO-X and ALSO-X+: Better Convex Approximations for Chance Constrained Programs. Oper. Res. 70 (6) (2022)
Shutong Chen, Weijun Xie
On Cluster-Aware Supervised Learning: Frameworks, Convergent Algorithms, and Applications. INFORMS J. Comput. 34 (1) (2022)
Bo Shen, Weijun Xie, Zhenyu James Kong
Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee. CoRR (2022)
Shaoran Li, Nan Jiang, Yongce Chen, Y. Thomas Hou, Wenjing Lou, Weijun Xie
BF - Data-Driven Beamforming in MU-MIMO with Channel Estimation Uncertainty. INFOCOM (2022)
Bo Shen, Weijun Xie, Zhenyu James Kong
Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee. J. Mach. Learn. Res. 23 (2022)
Weijun Xie, Jie Zhang, Shabbir Ahmed
Distributionally robust bottleneck combinatorial problems: uncertainty quantification and robust decision making. Math. Program. 196 (1) (2022)
Jie Zhang, Weijun Xie, Subhash C. Sarin
Robust multi-product newsvendor model with uncertain demand and substitution. Eur. J. Oper. Res. 293 (1) (2021)
Weijun Xie
On distributionally robust chance constrained programs with Wasserstein distance. Math. Program. 186 (1) (2021)
Bo Shen, Weijun Xie, Zhenyu James Kong
Clustered Discriminant Regression for High-Dimensional Data Feature Extraction and Its Applications in Healthcare and Additive Manufacturing. IEEE Trans Autom. Sci. Eng. 18 (4) (2021)
Jie Zhang, Weijun Xie, Subhash C. Sarin
Multiproduct Newsvendor Problem with Customer-Driven Demand Substitution: A Stochastic Integer Program Perspective. INFORMS J. Comput. 33 (3) (2021)
Mohit Singh, Weijun Xie
-optimal Design. Math. Oper. Res. 45 (4) (2020)
Weijun Xie
Tractable reformulations of two-stage distributionally robust linear programs over the type-∞ Wasserstein ball. Oper. Res. Lett. 48 (4) (2020)
Weijun Xie, Xinwei Deng
Scalable Algorithms for the Sparse Ridge Regression. SIAM J. Optim. 30 (4) (2020)
Weijun Xie, Shabbir Ahmed
Bicriteria Approximation of Chance-Constrained Covering Problems. Oper. Res. 68 (2) (2020)
Qing Ye, Weijun Xie
Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms. CoRR (2020)
Yongchun Li, Weijun Xie
Exact and Approximation Algorithms for Sparse PCA. CoRR (2020)
Yongchun Li, Weijun Xie
Best Principal Submatrix Selection for the Maximum Entropy Sampling Problem: Scalable Algorithms and Performance Guarantees. CoRR (2020)
Vivek Madan, Mohit Singh, Uthaipon Tantipongpipat, Weijun Xie
Combinatorial Algorithms for Optimal Design. COLT (2019)
Weijun Xie, Shabbir Ahmed
On Deterministic Reformulations of Distributionally Robust Joint Chance Constrained Optimization Problems. SIAM J. Optim. 28 (2) (2018)
Weijun Xie, Shabbir Ahmed
On quantile cuts and their closure for chance constrained optimization problems. Math. Program. 172 (1-2) (2018)
Weijun Xie, Shabbir Ahmed
Distributionally robust simple integer recourse. Comput. Manag. Sci. 15 (3-4) (2018)
Mohit Singh, Weijun Xie
Approximate Positively Correlated Distributions and Approximation Algorithms for D-optimal Design. CoRR (2018)
Mohit Singh, Weijun Xie
Approximate Positive Correlated Distributions and Approximation Algorithms for D-optimal Design. SODA (2018)
Shabbir Ahmed, Weijun Xie
Relaxations and approximations of chance constraints under finite distributions. Math. Program. 170 (1) (2018)
Shabbir Ahmed, James R. Luedtke, Yongjia Song, Weijun Xie
Nonanticipative duality, relaxations, and formulations for chance-constrained stochastic programs. Math. Program. 162 (1-2) (2017)
Weijun Xie, Yanfeng Ouyang, Kamalesh Somani
Optimizing Location and Capacity for Multiple Types of Locomotive Maintenance Shops. Comput. Aided Civ. Infrastructure Eng. 31 (3) (2016)
Weijun Xie, Shabbir Ahmed
On the Quantile Cut Closure of Chance-Constrained Problems. IPCO (2016)
Weijun Xie, Yanfeng Ouyang, Sze Chun Wong
Reliable Location-Routing Design Under Probabilistic Facility Disruptions. Transp. Sci. 50 (3) (2016)
Weijun Xie, Yanfeng Ouyang
Dynamic Planning of Facility Locations with Benefits from Multitype Facility Colocation. Comput. Aided Civ. Infrastructure Eng. 28 (9) (2013)