Weijun Xie

According to our database, Weijun Xie authored at least 34 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Distributionally Favorable Optimization: A Framework for Data-Driven Decision-Making with Endogenous Outliers.

Nan Jiang, Weijun Xie

SIAM J. Optim., March, 2024

Learning Fair Policies for Multi-Stage Selection Problems from Observational Data.

Zhuangzhuang Jia, Grani A. Hanasusanto, Phebe Vayanos, Weijun Xie

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Automated Vehicle Identification Based on Car-Following Data With Machine Learning.

Qianwen Li, Xiaopeng Li, Handong Yao, Zhaohui Liang, Weijun Xie

IEEE Trans. Intell. Transp. Syst., December, 2023

Distributionally Robust Fair Transit Resource Allocation During a Pandemic.

Luying Sun, Weijun Xie, Tim Witten

Transp. Sci., July, 2023

2022

ALSO-X and ALSO-X+: Better Convex Approximations for Chance Constrained Programs.

Nan Jiang, Weijun Xie

Oper. Res., November, 2022

Distributionally robust bottleneck combinatorial problems: uncertainty quantification and robust decision making.

Weijun Xie, Jie Zhang, Shabbir Ahmed

Math. Program., 2022

Optimized Bonferroni approximations of distributionally robust joint chance constraints.

Weijun Xie, Shabbir Ahmed, Ruiwei Jiang

Math. Program., 2022

Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee.

Bo Shen, Weijun Xie, Zhenyu James Kong

J. Mach. Learn. Res., 2022

On Cluster-Aware Supervised Learning: Frameworks, Convergent Algorithms, and Applications.

Shutong Chen, Weijun Xie

INFORMS J. Comput., 2022

D²BF - Data-Driven Beamforming in MU-MIMO with Channel Estimation Uncertainty.

Shaoran Li, Nan Jiang, Yongce Chen, Y. Thomas Hou, Wenjing Lou, Weijun Xie

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.

Bo Shen, Weijun Xie, Zhenyu James Kong

IEEE Trans Autom. Sci. Eng., 2021

On distributionally robust chance constrained programs with Wasserstein distance.

Weijun Xie

Math. Program., 2021

Multiproduct Newsvendor Problem with Customer-Driven Demand Substitution: A Stochastic Integer Program Perspective.

Jie Zhang, Weijun Xie, Subhash C. Sarin

INFORMS J. Comput., 2021

Robust multi-product newsvendor model with uncertain demand and substitution.

Jie Zhang, Weijun Xie, Subhash C. Sarin

Eur. J. Oper. Res., 2021

2020

Scalable Algorithms for the Sparse Ridge Regression.

Weijun Xie, Xinwei Deng

SIAM J. Optim., 2020

Tractable reformulations of two-stage distributionally robust linear programs over the type-∞ Wasserstein ball.

Weijun Xie

Oper. Res. Lett., 2020

Approximation Algorithms for <i>D</i>-optimal Design.

Mohit Singh, Weijun Xie

Math. Oper. Res., 2020

Bicriteria Approximation of Chance-Constrained Covering Problems.

Weijun Xie, Shabbir Ahmed

Oper. Res., 2020

Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms.

Qing Ye, Weijun Xie

CoRR, 2020

Exact and Approximation Algorithms for Sparse PCA.

Yongchun Li, Weijun Xie

CoRR, 2020

Best Principal Submatrix Selection for the Maximum Entropy Sampling Problem: Scalable Algorithms and Performance Guarantees.

Yongchun Li, Weijun Xie

CoRR, 2020

2019

Combinatorial Algorithms for Optimal Design.

Vivek Madan, Mohit Singh, Uthaipon Tantipongpipat, Weijun Xie

Proceedings of the Conference on Learning Theory, 2019

2018

On Deterministic Reformulations of Distributionally Robust Joint Chance Constrained Optimization Problems.

Weijun Xie, Shabbir Ahmed

SIAM J. Optim., 2018

On quantile cuts and their closure for chance constrained optimization problems.

Weijun Xie, Shabbir Ahmed

Math. Program., 2018

Relaxations and approximations of chance constraints under finite distributions.

Shabbir Ahmed, Weijun Xie

Math. Program., 2018

Approximate Positively Correlated Distributions and Approximation Algorithms for D-optimal Design.

Mohit Singh, Weijun Xie

CoRR, 2018

Distributionally robust simple integer recourse.

Weijun Xie, Shabbir Ahmed

Comput. Manag. Sci., 2018

Approximate Positive Correlated Distributions and Approximation Algorithms for D-optimal Design.

Mohit Singh, Weijun Xie

Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, 2018

2017

Nonanticipative duality, relaxations, and formulations for chance-constrained stochastic programs.

Shabbir Ahmed, James R. Luedtke, Yongjia Song, Weijun Xie

Math. Program., 2017

2016

Reliable Location-Routing Design Under Probabilistic Facility Disruptions.

Weijun Xie, Yanfeng Ouyang, Sze Chun Wong

Transp. Sci., 2016

Optimizing Location and Capacity for Multiple Types of Locomotive Maintenance Shops.

Weijun Xie, Yanfeng Ouyang, Kamalesh Somani

Comput. Aided Civ. Infrastructure Eng., 2016

On the Quantile Cut Closure of Chance-Constrained Problems.

Weijun Xie, Shabbir Ahmed

Proceedings of the Integer Programming and Combinatorial Optimization, 2016

2013

Dynamic Planning of Facility Locations with Benefits from Multitype Facility Colocation.

Weijun Xie, Yanfeng Ouyang

Comput. Aided Civ. Infrastructure Eng., 2013

2009

Stabilization of traffic flow based on multi-anticipative intelligent driver model.

Xiqun Chen, Ruimin Li, Weijun Xie, Qixin Shi

Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, 2009