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ORCIDWeijun Xie 0001
Person information
- affiliation: Georgia Institute of Technology, Atlanta, GA, USA
- affiliation (2017 - 2022): Virginia Tech, Blacksburg, VA, USA
- affiliation (PhD 2017): Georgia Institute of Technology, Atlanta, GA, USA
- affiliation (2010 - 2013): University of Illinois at Urbana Champaign, Urbana, IL, USA
- affiliation (former): Tsinghua University, Institute of Transportation Engineering, Department of Civil Engineering, Beijing, China
Other persons with the same name
- Weijun Xie 0002 — Hunan National Vocational College, Yueyang, Hunan, China
- Weijun Xie 0003
![[0009-0000-8901-6655]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0009-0000-8901-6655")
— China Agricultural University, Beijing, China
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2020 – today
- 2024
[j27]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): 97-120 (2024)- [j26]Yongchun Li, Weijun Xie:
Best Principal Submatrix Selection for the Maximum Entropy Sampling Problem: Scalable Algorithms and Performance Guarantees. Oper. Res. 72(2): 493-513 (2024) - [j25]Andrés Gómez, Weijun Xie:
A note on quadratic constraints with indicator variables: Convex hull description and perspective relaxation. Oper. Res. Lett. 52: 107059 (2024) - [j24]Nan Jiang, Weijun Xie:
Distributionally Favorable Optimization: A Framework for Data-Driven Decision-Making with Endogenous Outliers. SIAM J. Optim. 34(1): 419-458 (2024) - [c7]Zhuangzhuang Jia, Grani A. Hanasusanto, Phebe Vayanos, Weijun Xie:
Learning Fair Policies for Multi-Stage Selection Problems from Observational Data. AAAI 2024: 21188-21196 - [c6]Yongchun Li, Weijun Xie:
On the Partial Convexification of the Low-Rank Spectral Optimization: Rank Bounds and Algorithms. IPCO 2024: 265-279 - 2023
- [j23]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): 13893-13902 (2023) - [j22]Luying Sun, Weijun Xie, Tim Witten:
Distributionally Robust Fair Transit Resource Allocation During a Pandemic. Transp. Sci. 57(4): 954-978 (2023) - [i6]Zhuangzhuang Jia, Grani A. Hanasusanto, Phebe Vayanos, Weijun Xie:
Learning Fair Policies for Multi-stage Selection Problems from Observational Data. CoRR abs/2312.13173 (2023) - 2022
- [j21]Shutong Chen, Weijun Xie:
On Cluster-Aware Supervised Learning: Frameworks, Convergent Algorithms, and Applications. INFORMS J. Comput. 34(1): 481-502 (2022) - [j20]Nan Jiang, Weijun Xie:
ALSO-X and ALSO-X+: Better Convex Approximations for Chance Constrained Programs. Oper. Res. 70(6): 3581-3600 (2022) - [j19]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: 217:1-217:40 (2022) - [j18]Weijun Xie, Shabbir Ahmed, Ruiwei Jiang:
Optimized Bonferroni approximations of distributionally robust joint chance constraints. Math. Program. 191(1): 79-112 (2022) - [j17]Weijun Xie, Jie Zhang, Shabbir Ahmed:
Distributionally robust bottleneck combinatorial problems: uncertainty quantification and robust decision making. Math. Program. 196(1): 597-640 (2022) - [c5]Shaoran Li, Nan Jiang, Yongce Chen, Y. Thomas Hou, Wenjing Lou, Weijun Xie:
D2BF - Data-Driven Beamforming in MU-MIMO with Channel Estimation Uncertainty. INFOCOM 2022: 120-129 - [i5]Bo Shen, Weijun Xie, Zhenyu James Kong:
Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee. CoRR abs/2203.16328 (2022) - 2021
- [j16]Jie Zhang, Weijun Xie, Subhash C. Sarin:
Robust multi-product newsvendor model with uncertain demand and substitution. Eur. J. Oper. Res. 293(1): 190-202 (2021) - [j15]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): 1229-1244 (2021) - [j14]Weijun Xie:
On distributionally robust chance constrained programs with Wasserstein distance. Math. Program. 186(1): 115-155 (2021) - [j13]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): 1998-2010 (2021) - 2020
- [j12]Weijun Xie, Shabbir Ahmed:
Bicriteria Approximation of Chance-Constrained Covering Problems. Oper. Res. 68(2): 516-533 (2020) - [j11]Mohit Singh, Weijun Xie:
Approximation Algorithms for D-optimal Design. Math. Oper. Res. 45(4): 1512-1534 (2020) - [j10]Weijun Xie:
Tractable reformulations of two-stage distributionally robust linear programs over the type-∞ Wasserstein ball. Oper. Res. Lett. 48(4): 513-523 (2020) - [j9]Weijun Xie, Xinwei Deng:
Scalable Algorithms for the Sparse Ridge Regression. SIAM J. Optim. 30(4): 3359-3386 (2020) - [i4]Yongchun Li, Weijun Xie:
Best Principal Submatrix Selection for the Maximum Entropy Sampling Problem: Scalable Algorithms and Performance Guarantees. CoRR abs/2001.08537 (2020) - [i3]Yongchun Li, Weijun Xie:
Exact and Approximation Algorithms for Sparse PCA. CoRR abs/2008.12438 (2020) - [i2]Qing Ye, Weijun Xie:
Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms. CoRR abs/2012.12356 (2020)
2010 – 2019
- 2019
- [c4]Vivek Madan, Mohit Singh, Uthaipon Tantipongpipat, Weijun Xie:
Combinatorial Algorithms for Optimal Design. COLT 2019: 2210-2258 - 2018
- [j8]Weijun Xie, Shabbir Ahmed:
Distributionally robust simple integer recourse. Comput. Manag. Sci. 15(3-4): 351-367 (2018) - [j7]Shabbir Ahmed, Weijun Xie:
Relaxations and approximations of chance constraints under finite distributions. Math. Program. 170(1): 43-65 (2018) - [j6]Weijun Xie, Shabbir Ahmed:
On quantile cuts and their closure for chance constrained optimization problems. Math. Program. 172(1-2): 621-646 (2018) - [j5]Weijun Xie, Shabbir Ahmed:
On Deterministic Reformulations of Distributionally Robust Joint Chance Constrained Optimization Problems. SIAM J. Optim. 28(2): 1151-1182 (2018) - [c3]Mohit Singh, Weijun Xie:
Approximate Positive Correlated Distributions and Approximation Algorithms for D-optimal Design. SODA 2018: 2240-2255 - [i1]Mohit Singh, Weijun Xie:
Approximate Positively Correlated Distributions and Approximation Algorithms for D-optimal Design. CoRR abs/1802.08372 (2018) - 2017
- [j4]Shabbir Ahmed, James R. Luedtke, Yongjia Song, Weijun Xie:
Nonanticipative duality, relaxations, and formulations for chance-constrained stochastic programs. Math. Program. 162(1-2): 51-81 (2017) - 2016
- [j3]Weijun Xie, Yanfeng Ouyang, Kamalesh Somani:
Optimizing Location and Capacity for Multiple Types of Locomotive Maintenance Shops. Comput. Aided Civ. Infrastructure Eng. 31(3): 163-175 (2016) - [j2]Weijun Xie, Yanfeng Ouyang, Sze Chun Wong:
Reliable Location-Routing Design Under Probabilistic Facility Disruptions. Transp. Sci. 50(3): 1128-1138 (2016) - [c2]Weijun Xie, Shabbir Ahmed:
On the Quantile Cut Closure of Chance-Constrained Problems. IPCO 2016: 398-409 - 2013
- [j1]Weijun Xie, Yanfeng Ouyang:
Dynamic Planning of Facility Locations with Benefits from Multitype Facility Colocation. Comput. Aided Civ. Infrastructure Eng. 28(9): 666-678 (2013)
2000 – 2009
- 2009
- [c1]Xiqun Chen, Ruimin Li, Weijun Xie, Qixin Shi:
Stabilization of traffic flow based on multi-anticipative intelligent driver model. ITSC 2009: 1-6
Coauthor Index
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