9 citations · 21 across the 3 of their papers we have counts for
8 papers
Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee
Bo Shen, Weijun Xie, Zhenyu Kong
The objective of this study is to address the problem of background/foreground separation with missing pixels by combining the video acquisition, video recovery, background/foregro…
Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms
Qing Ye, Weijun Xie
As an important problem in modern data analytics, classification has witnessed varieties of applications from different domains. Different from conventional classification approach…
ALSO-X and ALSO-X+: Better Convex Approximations for Chance Constrained Programs
Nan Jiang, Weijun Xie
In a chance constrained program (CCP), the decision-makers aim to seek the best decision whose probability of violating the uncertainty constraints is within the prespecified risk…
Exact and Approximation Algorithms for Sparse PCA
Yongchun Li, Weijun Xie
Sparse PCA (SPCA) is a fundamental model in machine learning and data analytics, which has witnessed a variety of application areas such as finance, manufacturing, biology, healthc…
Distributionally Robust Bottleneck Combinatorial Problems: Uncertainty Quantification and Robust Decision Making
Weijun Xie, Jie Zhang, Shabbir Ahmed
This paper studies data-driven distributionally robust bottleneck combinatorial problems (DRBCP) with stochastic costs, where the probability distribution of the cost vector is con…
Tractable Reformulations of Distributionally Robust Two-stage Stochastic Programs with Wasserstein Distance
Weijun Xie
In the optimization under uncertainty, decision-makers first select a wait-and-see policy before any realization of uncertainty and then place a here-and-now decision after the unc…