Stabilization of traffic flow based on multi-anticipative intelligent driver model. - Xiqun Chen; Ruimin Li; Weijun Xie 001; Qixin Shi (ITSC, 2009)

Dynamic Planning of Facility Locations with Benefits from Multitype Facility Colocation. - Weijun Xie 001; Yanfeng Ouyang (Comput. Aided Civ. Infrastructure Eng., 2013)

On the Quantile Cut Closure of Chance-Constrained Problems. - Weijun Xie 001; Shabbir Ahmed 001 (IPCO, 2016)

Optimizing Location and Capacity for Multiple Types of Locomotive Maintenance Shops. - Weijun Xie 001; Yanfeng Ouyang; Kamalesh Somani (Comput. Aided Civ. Infrastructure Eng., 2016)

Reliable Location-Routing Design Under Probabilistic Facility Disruptions. - Weijun Xie 001; Yanfeng Ouyang; Sze Chun Wong (Transp. Sci., 2016)

Nonanticipative duality, relaxations, and formulations for chance-constrained stochastic programs. - Shabbir Ahmed 001; James R. Luedtke; Yongjia Song; Weijun Xie 001 (Math. Program., 2017)

Relaxations and approximations of chance constrained stochastic programs. - Weijun Xie 001 (2017)

Approximate Positive Correlated Distributions and Approximation Algorithms for D-optimal Design. - Mohit Singh; Weijun Xie 001 (SODA, 2018)

Distributionally robust simple integer recourse. - Weijun Xie 001; Shabbir Ahmed 001 (Comput. Manag. Sci., 2018)

Approximate Positively Correlated Distributions and Approximation Algorithms for D-optimal Design. - Mohit Singh; Weijun Xie 001 (CoRR, 2018)

Relaxations and approximations of chance constraints under finite distributions. - Shabbir Ahmed 001; Weijun Xie 001 (Math. Program., 2018)

On quantile cuts and their closure for chance constrained optimization problems. - Weijun Xie 001; Shabbir Ahmed 001 (Math. Program., 2018)

On Deterministic Reformulations of Distributionally Robust Joint Chance Constrained Optimization Problems. - Weijun Xie 001; Shabbir Ahmed 001 (SIAM J. Optim., 2018)

Combinatorial Algorithms for Optimal Design. - Vivek Madan; Mohit Singh; Uthaipon Tantipongpipat; Weijun Xie 001 (COLT, 2019)

Exact and Approximation Algorithms for Sparse PCA. - Yongchun Li; Weijun Xie 001 (CoRR, 2020)

Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms. - Qing Ye; Weijun Xie 001 (CoRR, 2020)

Bicriteria Approximation of Chance-Constrained Covering Problems. - Weijun Xie 001; Shabbir Ahmed 001 (Oper. Res., 2020)

Approximation Algorithms for D-optimal Design. - Mohit Singh; Weijun Xie 001 (Math. Oper. Res., 2020)

Tractable reformulations of two-stage distributionally robust linear programs over the type-∞ Wasserstein ball. - Weijun Xie 001 (Oper. Res. Lett., 2020)

Scalable Algorithms for the Sparse Ridge Regression. - Weijun Xie 001; Xinwei Deng (SIAM J. Optim., 2020)

Robust multi-product newsvendor model with uncertain demand and substitution. - Jie Zhang; Weijun Xie 001; Subhash C. Sarin (Eur. J. Oper. Res., 2021)

Multiproduct Newsvendor Problem with Customer-Driven Demand Substitution: A Stochastic Integer Program Perspective. - Jie Zhang; Weijun Xie 001; Subhash C. Sarin (INFORMS J. Comput., 2021)

On distributionally robust chance constrained programs with Wasserstein distance. - Weijun Xie 001 (Math. Program., 2021)

Clustered Discriminant Regression for High-Dimensional Data Feature Extraction and Its Applications in Healthcare and Additive Manufacturing. - Bo Shen 005; Weijun Xie 001; Zhenyu James Kong (IEEE Trans Autom. Sci. Eng., 2021)

D2BF - Data-Driven Beamforming in MU-MIMO with Channel Estimation Uncertainty. - Shaoran Li; Nan Jiang; Yongce Chen; Y. Thomas Hou 001; Wenjing Lou; Weijun Xie 001 (INFOCOM, 2022)

On Cluster-Aware Supervised Learning: Frameworks, Convergent Algorithms, and Applications. - Shutong Chen; Weijun Xie 001 (INFORMS J. Comput., 2022)

Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee. - Bo Shen 005; Weijun Xie 001; Zhenyu James Kong (J. Mach. Learn. Res., 2022)

Optimized Bonferroni approximations of distributionally robust joint chance constraints. - Weijun Xie 001; Shabbir Ahmed 001; Ruiwei Jiang (Math. Program., 2022)

Distributionally robust bottleneck combinatorial problems: uncertainty quantification and robust decision making. - Weijun Xie 001; Jie Zhang; Shabbir Ahmed 001 (Math. Program., 2022)

ALSO-X and ALSO-X+: Better Convex Approximations for Chance Constrained Programs. - Nan Jiang; Weijun Xie 001 (Oper. Res., 2022)

Distributionally Robust Fair Transit Resource Allocation During a Pandemic. - Luying Sun; Weijun Xie 001; Tim Witten (Transp. Sci., 2023)

Automated Vehicle Identification Based on Car-Following Data With Machine Learning. - Qianwen Li; Xiaopeng Li; Handong Yao; Zhaohui Liang; Weijun Xie 001 (IEEE Trans. Intell. Transp. Syst., 2023)

Learning Fair Policies for Multi-Stage Selection Problems from Observational Data. - Zhuangzhuang Jia; Grani A. Hanasusanto; Phebe Vayanos; Weijun Xie 001 (AAAI, 2024)

ReDBeam: Real-time MU-MIMO Beamforming with Limited CSI Data Samples. - Shaoran Li; Nan Jiang; Chengzhang Li; Y. Thomas Hou 001; Wenjing Lou; Weijun Xie 001 (ICC, 2024)

On the Partial Convexification of the Low-Rank Spectral Optimization: Rank Bounds and Algorithms. - Yongchun Li; Weijun Xie 001 (IPCO, 2024)

On Sparse Canonical Correlation Analysis. - Yongchun Li; Santanu Dey; Weijun Xie 001 (NeurIPS, 2024)

A Federated Distributionally Robust Support Vector Machine with Mixture of Wasserstein Balls Ambiguity Set for Distributed Fault Diagnosis. - Michael Ibrahim 004; Heraldo Rozas; Nagi Gebraeel; Weijun Xie 001 (CoRR, 2024)

Computing Experiment-Constrained D-Optimal Designs. - Aditya Pillai; Gabriel Ponte; Marcia Fampa; Jon Lee 001; Mohit Singh; Weijun Xie 001 (CoRR, 2024)

D-Optimal Data Fusion: Exact and Approximation Algorithms. - Yongchun Li; Marcia Fampa; Jon Lee 001; Feng Qiu; Weijun Xie 001; Rui Yao (INFORMS J. Comput., 2024)

Best Principal Submatrix Selection for the Maximum Entropy Sampling Problem: Scalable Algorithms and Performance Guarantees. - Yongchun Li; Weijun Xie 001 (Oper. Res., 2024)

A note on quadratic constraints with indicator variables: Convex hull description and perspective relaxation. - Andrés Gómez 001; Weijun Xie 001 (Oper. Res. Lett., 2024)

Distributionally Favorable Optimization: A Framework for Data-Driven Decision-Making with Endogenous Outliers. - Nan Jiang; Weijun Xie 001 (SIAM J. Optim., 2024)

MU-MIMO Beamforming With Limited Channel Data Samples. - Shaoran Li; Nan Jiang; Yongce Chen; Weijun Xie 001; Wenjing Lou; Y. Thomas Hou 001 (IEEE J. Sel. Areas Commun., 2024)

Beyond symmetry: best submatrix selection for the sparse truncated SVD. - Yongchun Li; Weijun Xie 001 (Math. Program., 2024)

A Spatio-temporal Cluster-aware Supervised Learning Framework for Predicting County-level Drug Overdose Deaths. - Zixuan Feng; Qing Ye; Weijun Xie 001; Qiushi Chen (AAAI, 2025)

FDR-SVM: A Federated Distributionally Robust Support Vector Machine via a Mixture of Wasserstein Balls Ambiguity Set. - Michael Ibrahim 004; Heraldo Rozas; Nagi Gebraeel; Weijun Xie 001 (UAI, 2025)

The Terminator: An Integration of Inner and Outer Approximations for Solving Wasserstein Distributionally Robust Chance Constrained Programs via Variable Fixing. - Nan Jiang; Weijun Xie 001 (INFORMS J. Comput., 2025)

Exact and Approximation Algorithms for Sparse Principal Component Analysis. - Yongchun Li; Weijun Xie 001 (INFORMS J. Comput., 2025)

ALSO-X#: better convex approximations for distributionally robust chance constrained programs. - Nan Jiang; Weijun Xie 001 (Math. Program., 2025)