Weijun Xie - RankMe

61 papers A* 6A 1B 2Journal 48Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Federated Generalized Expectation-Maximization Algorithm for Mixture Models with an Unknown Number of Components. CoRR Michael Ibrahim, Nagi Gebraeel, Weijun Xie
2026	J	`jnl`	Data-driven joint optimization of maintenance and spare parts provisioning: A distributionally robust approach. Eur. J. Oper. Res. Heraldo Rozas, Weijun Xie, Nagi Gebraeel, Stephen K. Robinson
2026	J	`jnl`	Real-Time Scheduling for GAA Users' Coexistence in CBRS Using O-RAN Architecture. IEEE Trans. Cogn. Commun. Netw. Shiva Acharya, Shaoran Li, Nan Jiang, Yubo Wu, Weijun Xie, Wenjing Lou, Y. Thomas Hou
2025	J	`jnl`	A New Approach to Tackle Channel Uncertainty with Limited Data Samples. IEEE Wirel. Commun. Shiva Acharya, Shaoran Li, Yubo Wu, Nan Jiang, Weijun Xie, Wenjing Lou, Y. Thomas Hou
2025	A*	`conf`	A Spatio-temporal Cluster-aware Supervised Learning Framework for Predicting County-level Drug Overdose Deaths. AAAI Zixuan Feng, Qing Ye, Weijun Xie, Qiushi Chen
2025	J	`jnl`	ALSO-X#: better convex approximations for distributionally robust chance constrained programs. Math. Program. Nan Jiang, Weijun Xie
2025	—	`conf`	Computing Experiment-Constrained D-Optimal Designs. ACDA Aditya Pillai, Gabriel Ponte, Marcia Fampa, Jon Lee, Mohit Singh, Weijun Xie
2025	J	`jnl`	D-Optimal Orienteering for Post-Earthquake Reconnaissance Planning. Oper. Res. Jiaqi Wang, Weijun Xie, Ilya O. Ryzhov, Nikola Markovic, Ge Ou
2025	J	`jnl`	Exact and Approximation Algorithms for Sparse Principal Component Analysis. INFORMS J. Comput. Yongchun Li, Weijun Xie
2025	A	`conf`	FDR-SVM: A Federated Distributionally Robust Support Vector Machine via a Mixture of Wasserstein Balls Ambiguity Set. UAI Michael Ibrahim, Heraldo Rozas, Nagi Gebraeel, Weijun Xie
2025	J	`jnl`	On the Computation of Contextual Distributionally Robust Preventive Maintenance Intervals. IEEE Trans. Reliab. Heraldo Rozas, Nagi Gebraeel, Weijun Xie
2025	J	`jnl`	Real-Time MU-MIMO Beamforming With Limited Channel Samples in 5G Networks. IEEE Trans. Mob. Comput. Shaoran Li, Nan Jiang, Chengzhang Li, Shiva Acharya, Yubo Wu, Weijun Xie, Wenjing Lou, Y. Thomas Hou
2025	J	`jnl`	The Terminator: An Integration of Inner and Outer Approximations for Solving Wasserstein Distributionally Robust Chance Constrained Programs via Variable Fixing. INFORMS J. Comput. Nan Jiang, Weijun Xie
2025	J	`jnl`	Towards Tighter Convex Relaxation of Mixed-integer Programs: Leveraging Logic Network Flow for Task and Motion Planning. CoRR Xuan Lin, Jiming Ren, Yandong Luo, Weijun Xie, Ye Zhao
2024	J	`jnl`	A Federated Distributionally Robust Support Vector Machine with Mixture of Wasserstein Balls Ambiguity Set for Distributed Fault Diagnosis. CoRR Michael Ibrahim, Heraldo Rozas, Nagi Gebraeel, Weijun Xie
2024	J	`jnl`	A note on quadratic constraints with indicator variables: Convex hull description and perspective relaxation. Oper. Res. Lett. Andrés Gómez, Weijun Xie
2024	J	`jnl`	Best Principal Submatrix Selection for the Maximum Entropy Sampling Problem: Scalable Algorithms and Performance Guarantees. Oper. Res. Yongchun Li, Weijun Xie
2024	J	`jnl`	Beyond symmetry: best submatrix selection for the sparse truncated SVD. Math. Program. Yongchun Li, Weijun Xie
2024	J	`jnl`	Computing Experiment-Constrained D-Optimal Designs. CoRR Aditya Pillai, Gabriel Ponte, Marcia Fampa, Jon Lee, Mohit Singh, Weijun Xie
2024	J	`jnl`	D-Optimal Data Fusion: Exact and Approximation Algorithms. INFORMS J. Comput. Yongchun Li, Marcia Fampa, Jon Lee, Feng Qiu, Weijun Xie, Rui Yao
2024	J	`jnl`	Distributionally Favorable Optimization: A Framework for Data-Driven Decision-Making with Endogenous Outliers. SIAM J. Optim. Nan Jiang, Weijun Xie
2024	A*	`conf`	Learning Fair Policies for Multi-Stage Selection Problems from Observational Data. AAAI Zhuangzhuang Jia, Grani A. Hanasusanto, Phebe Vayanos, Weijun Xie
2024	J	`jnl`	MU-MIMO Beamforming With Limited Channel Data Samples. IEEE J. Sel. Areas Commun. Shaoran Li, Nan Jiang, Yongce Chen, Weijun Xie, Wenjing Lou, Y. Thomas Hou
2024	A*	`conf`	On Sparse Canonical Correlation Analysis. NeurIPS Yongchun Li, Santanu Dey, Weijun Xie
2024	B	`conf`	On the Partial Convexification of the Low-Rank Spectral Optimization: Rank Bounds and Algorithms. IPCO Yongchun Li, Weijun Xie
2024	—	`conf`	ReDBeam: Real-time MU-MIMO Beamforming with Limited CSI Data Samples. ICC Shaoran Li, Nan Jiang, Chengzhang Li, Y. Thomas Hou, Wenjing Lou, Weijun Xie
2023	J	`jnl`	Automated Vehicle Identification Based on Car-Following Data With Machine Learning. IEEE Trans. Intell. Transp. Syst. Qianwen Li, Xiaopeng Li, Handong Yao, Zhaohui Liang, Weijun Xie
2023	J	`jnl`	Distributionally Robust Fair Transit Resource Allocation During a Pandemic. Transp. Sci. Luying Sun, Weijun Xie, Tim Witten
2023	J	`jnl`	Learning Fair Policies for Multi-stage Selection Problems from Observational Data. CoRR Zhuangzhuang Jia, Grani A. Hanasusanto, Phebe Vayanos, Weijun Xie
2022	J	`jnl`	ALSO-X and ALSO-X+: Better Convex Approximations for Chance Constrained Programs. Oper. Res. Nan Jiang, Weijun Xie
2022	A*	`conf`	D INFOCOM Shaoran Li, Nan Jiang, Yongce Chen, Y. Thomas Hou, Wenjing Lou, Weijun Xie
2022	J	`jnl`	Distributionally robust bottleneck combinatorial problems: uncertainty quantification and robust decision making. Math. Program. Weijun Xie, Jie Zhang, Shabbir Ahmed
2022	J	`jnl`	On Cluster-Aware Supervised Learning: Frameworks, Convergent Algorithms, and Applications. INFORMS J. Comput. Shutong Chen, Weijun Xie
2022	J	`jnl`	Optimized Bonferroni approximations of distributionally robust joint chance constraints. Math. Program. Weijun Xie, Shabbir Ahmed, Ruiwei Jiang
2022	J	`jnl`	Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee. CoRR Bo Shen, Weijun Xie, Zhenyu James Kong
2022	J	`jnl`	Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee. J. Mach. Learn. Res. Bo Shen, Weijun Xie, Zhenyu James Kong
2021	J	`jnl`	Clustered Discriminant Regression for High-Dimensional Data Feature Extraction and Its Applications in Healthcare and Additive Manufacturing. IEEE Trans Autom. Sci. Eng. Bo Shen, Weijun Xie, Zhenyu James Kong
2021	J	`jnl`	Multiproduct Newsvendor Problem with Customer-Driven Demand Substitution: A Stochastic Integer Program Perspective. INFORMS J. Comput. Jie Zhang, Weijun Xie, Subhash C. Sarin
2021	J	`jnl`	On distributionally robust chance constrained programs with Wasserstein distance. Math. Program. Weijun Xie
2021	J	`jnl`	Robust multi-product newsvendor model with uncertain demand and substitution. Eur. J. Oper. Res. Jie Zhang, Weijun Xie, Subhash C. Sarin
2020	J	`jnl`	Approximation Algorithms for Math. Oper. Res. Mohit Singh, Weijun Xie
2020	J	`jnl`	Best Principal Submatrix Selection for the Maximum Entropy Sampling Problem: Scalable Algorithms and Performance Guarantees. CoRR Yongchun Li, Weijun Xie
2020	J	`jnl`	Bicriteria Approximation of Chance-Constrained Covering Problems. Oper. Res. Weijun Xie, Shabbir Ahmed
2020	J	`jnl`	Exact and Approximation Algorithms for Sparse PCA. CoRR Yongchun Li, Weijun Xie
2020	J	`jnl`	Scalable Algorithms for the Sparse Ridge Regression. SIAM J. Optim. Weijun Xie, Xinwei Deng
2020	J	`jnl`	Tractable reformulations of two-stage distributionally robust linear programs over the type-∞ Wasserstein ball. Oper. Res. Lett. Weijun Xie
2020	J	`jnl`	Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms. CoRR Qing Ye, Weijun Xie
2019	A*	`conf`	Combinatorial Algorithms for Optimal Design. COLT Vivek Madan, Mohit Singh, Uthaipon Tantipongpipat, Weijun Xie
2018	A*	`conf`	Approximate Positive Correlated Distributions and Approximation Algorithms for D-optimal Design. SODA Mohit Singh, Weijun Xie
2018	J	`jnl`	Approximate Positively Correlated Distributions and Approximation Algorithms for D-optimal Design. CoRR Mohit Singh, Weijun Xie
2018	J	`jnl`	Distributionally robust simple integer recourse. Comput. Manag. Sci. Weijun Xie, Shabbir Ahmed
2018	J	`jnl`	On Deterministic Reformulations of Distributionally Robust Joint Chance Constrained Optimization Problems. SIAM J. Optim. Weijun Xie, Shabbir Ahmed
2018	J	`jnl`	On quantile cuts and their closure for chance constrained optimization problems. Math. Program. Weijun Xie, Shabbir Ahmed
2018	J	`jnl`	Relaxations and approximations of chance constraints under finite distributions. Math. Program. Shabbir Ahmed, Weijun Xie
2017	J	`jnl`	Nonanticipative duality, relaxations, and formulations for chance-constrained stochastic programs. Math. Program. Shabbir Ahmed, James R. Luedtke, Yongjia Song, Weijun Xie
2017	—	`—`	Relaxations and approximations of chance constrained stochastic programs. Weijun Xie
2016	B	`conf`	On the Quantile Cut Closure of Chance-Constrained Problems. IPCO Weijun Xie, Shabbir Ahmed
2016	J	`jnl`	Optimizing Location and Capacity for Multiple Types of Locomotive Maintenance Shops. Comput. Aided Civ. Infrastructure Eng. Weijun Xie, Yanfeng Ouyang, Kamalesh Somani
2016	J	`jnl`	Reliable Location-Routing Design Under Probabilistic Facility Disruptions. Transp. Sci. Weijun Xie, Yanfeng Ouyang, Sze Chun Wong
2013	J	`jnl`	Dynamic Planning of Facility Locations with Benefits from Multitype Facility Colocation. Comput. Aided Civ. Infrastructure Eng. Weijun Xie, Yanfeng Ouyang
2009	—	`conf`	Stabilization of traffic flow based on multi-anticipative intelligent driver model. ITSC Xiqun Chen, Ruimin Li, Weijun Xie, Qixin Shi