Xiaoqian Sun

Yifan Xu

Reliab. Eng. Syst. Saf., December, 2023

Estimation based on hybrid censored data from the power Lindley distribution.

[BibT_eX]

[DOI]

Commun. Stat. Simul. Comput., August, 2023

Machine learning augmented approaches for hub location problems.

[BibT_eX]

[DOI]

Comput. Oper. Res., June, 2023

IMMUNER: Integrated Multimodal Mobility Under Network Disruptions.

[BibT_eX]

[DOI]

Yifan Xu

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

Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Toward a Reference Experimental Benchmark for Solving Hub Location Problems.

[BibT_eX]

[DOI]

Transp. Sci., 2022

Differentially Private Byzantine-Robust Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2022

Optimal Cost-Based Strengthening of Complex Networks.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2022

Capacitated Air/Rail Hub Location Problem With Uncertainty: A Model, Efficient Solution Algorithm, and Case Study.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Efficient network dismantling through genetic algorithms.

[BibT_eX]

[DOI]

Wei Lin

Soft Comput., 2022

From random failures to targeted attacks in network dismantling.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2022

Scalable Vertiport Hub Location Selection for Air Taxi Operations in a Metropolitan Region.

[BibT_eX]

[DOI]

INFORMS J. Comput., 2022

Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Estimation and improvement of transportation network robustness by exploiting communities.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2021

An efficient and scalable approach to hub location problems based on contraction.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2021

2020

On the degree of synchronization between air transport connectivity and COVID-19 cases at worldwide level.

[BibT_eX]

[DOI]

Anming Zhang

CoRR, 2020

Approximation of Interactive Betweenness Centrality in Large Complex Networks.

[BibT_eX]

[DOI]

Complex., 2020

Community Detection Boosts Network Dismantling on Real-World Networks.

[BibT_eX]

[DOI]

IEEE Access, 2020

Complex Network Metrics: Can Deep Learning Keep up With Tailor-Made Reference Algorithms?

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

HUBBI: Iterative network design for incomplete hub location problems.

[BibT_eX]

[DOI]

Comput. Oper. Res., 2019

Scalability of Betweenness Approximation Algorithms: An Experimental Review.

[BibT_eX]

[DOI]

IEEE Access, 2019

Network Strengthening Against Malicious Attacks.

[BibT_eX]

[DOI]

Proceedings of the Complex Networks and Their Applications VIII, 2019

2018

ADS-BI: Compressed Indexing of ADS-B Data.

[BibT_eX]

[DOI]

Hartmut Fricke

IEEE Trans. Intell. Transp. Syst., 2018

Column-wise compression of open relational data.

[BibT_eX]

[DOI]

Ulf Leser

Inf. Sci., 2018

QRE: Quick Robustness Estimation for large complex networks.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2018

From the Difference of Structures to the Structure of the Difference.

[BibT_eX]

[DOI]

Complex., 2018

Robustness Estimation of Infrastructure Networks: On the Usage of Degree Centrality.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Availability, Reliability and Security, 2018

2017

Worldwide Railway Skeleton Network: Extraction Methodology and Preliminary Analysis.

[BibT_eX]

[DOI]

Zezhou Wang

IEEE Trans. Intell. Transp. Syst., 2017

Improved benders decomposition for capacitated hub location problem with incomplete hub networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

General contraction method for uncapacitated single allocation p-hub median problems.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016

Lossless Compression of Public Transit Schedules.

[BibT_eX]

[DOI]

Yanbo Zhu

IEEE Trans. Intell. Transp. Syst., 2016

Bayesian analysis of Birnbaum-Saunders distribution via the generalized ratio-of-uniforms method.

[BibT_eX]

[DOI]

Chanseok Park

Comput. Stat., 2016

Bayesian analysis of two-piece location-scale models under reference priors with partial information.

[BibT_eX]

[DOI]

Shiyi Tu

Comput. Stat. Data Anal., 2016

Efficient and Accurate Robustness Estimation for Large Complex Networks.

[BibT_eX]

[DOI]

CoRR, 2016

2015

Efficient Compression of 4D-Trajectory Data in Air Traffic Management.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2015

Bayesian structured variable selection in linear regression models.

[BibT_eX]

[DOI]

Tao Lu

Comput. Stat., 2015

2012

Bayesian inference for the correlation coefficient in two seemingly unrelated regressions.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2012

2011

Improved Stein-type shrinkage estimators for the high-dimensional multivariate normal covariance matrix.

[BibT_eX]

[DOI]

Thomas J. Fisher

Comput. Stat. Data Anal., 2011

2010

A new test for sphericity of the covariance matrix for high dimensional data.

[BibT_eX]

[DOI]

Thomas J. Fisher

Colin M. Gallagher

J. Multivar. Anal., 2010

Evaluation of control system performance using Multiple Criteria Decision Making techniques.

[BibT_eX]

[DOI]

Yongchang Li

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

A non-parameter Ising model for network-based identification of differentially expressed genes in recurrent breast cancer patients.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009

Bayesian spatial models with repeated measurements: with application to the herbaceous data analysis.

[BibT_eX]

[DOI]

Stat. Methods Appl., 2009

2008

Bayesian spatial prediction of the site index in the study of the Missouri Ozark Forest Ecosystem Project.

[BibT_eX]

[DOI]