Refereed Journal Publications

•  Yu, M., Xu, J., Li, X., & Tang, J. (2024). A Study on Healthcare Alliances with a Congestion-based Information Guidance Policy. Asia-Pacific Journal of Operational Research, 41(2), 2350017 (27 pages). Download

•  Yu, M., Xu, J., & Tang, J. (2024). Managing Customer Contact Centers with Delay Announcements and Automated Service. IISE Transactions, 56(2), 115-127. Download

•  A Sequential Sampling-based Particle Swarm Optimization to Control Droop Coefficients of Distributed Generation Units in Microgrid Clusters. Electric Power Systems Research, 216, 109704. Download

•  Wang, T., Xu, J., Hu, J.-Q., & Chen, C.-H. (2023). Efficient Estimation of a Risk Measure Requiring Two-Stage Simulation Optimization. European Journal of Operational Research, 305, pp. 1355-1365. Download

•  Goodwin, T., Xu, J., Celik, N., & Chen, C.-H. (2022). Real-time Digital Twin-based Optimization with Predictive Simulation Learning. Journal of Simulation. Download

•  Perry, M., Xu, J., Huang, E., & Chen, C.-H. (2022). Robust Sampling Budget Allocation Under Deep Uncertainty. IEEE Transactions on Systems, Man and Cybernetics: Systems, 52(10), pp. 6339-6347. Download

•  Li, Y., Fu, M. C., & Xu, J. (2022). An Optimal Computing Budget Allocation Tree Policy for Monte Carlo Tree Search. IEEE Transactions on Automatic Control, 67(6), pp. 2685-2699. Download

•  Wang, T., Xu, J., Hu, J.-Q., & Chen C.-H. (2021). Optimal Computing Budget Allocation for Regression with Gradient Information. Automatica, 134, p.109927. Download

•  Zhou, C., Xu, J., Miller-Hooks, E., Zhou, W., Chen, C.-H., Lee, L.-H., Chew, E.-P., and Li, H., 2021. Analytics with digital-twinning: A decision support system for maintaining a resilient port. Decision Support Systems, 143 (113496) Download

•  Wang, T., Xu, J., and Hu, J.-Q. 2021. A Study on Efficient Computing Budget Allocation for a Two-Stage Problem. Asia-Pacific Journal of Operational Research, 38(2), Article No. 2050044, 20 pages. Download

•  Xu, J., Yao, R., and Qiu, F. 2021. Mitigating Cascading Outages in Severe Weather Using Simulation-based Optimization. IEEE Transactions on Power Systems, 36(1), pp.204-213. Download

•  Zhang, F., Song, J., Dai, Y. and Xu, J., 2020. Semiconductor wafer fabrication production planning using multi-fidelity simulation optimisation. International Journal of Production Research, 58(21), pp.6585-6600. Download

•  Peng, Y., Song, J., Xu, J. and Chong, E.K., 2020. Stochastic Control Framework for Determining Feasible Alternatives in Sampling Allocation. IEEE Transactions on Automatic Control, 65(6), pp. 2647-2653 Download

•  Pedrielli, G., Selcuk Candan, K., Chen, X., Mathesen, L., Inanalouganji, A., Xu, J., Chen, C.H. and Lee, L.H., 2019. Generalized Ordinal Learning Framework (GOLF) for Decision Making with Future Simulated Data. Asia-Pacific Journal of Operational Research, 36(06), p.1940011. Download

•  Peng, Y., Xu, J., Lee, L.H., Hu, J. and Chen, C.H., 2019. Efficient Simulation Sampling Allocation Using Multi-fidelity Models. IEEE Transactions on Automatic Control, 64(8), pp.3156-3169 Download

•  Peng, Y., E. Huang, J. Xu, C.-H. Chen. 2019. A Coordinate Optimization Approach for Concurrent Engineering. To appear in IEEE Transactions on Automatic Control, July 2019. Download

•  Song, J., Qiu, Y., Xu, J. and Yang, F., 2019. Multi-fidelity sampling for efficient simulation-based decision making in manufacturing management. IISE Transactions, 51(7), pp.792-805. Honorable Mention for the Best Paper in the 2020 IISE Transactions Focus Issue on Design and Manufacturing from all papers published from July 1, 2019 through June 30, 2020, issues 51:7 through 52:6. Download

•  Guharay, S., K.-C. Chang, J. Xu. 2017. Robust estimation of Value-at-Risk through distribution-free and parametric approaches in modern operational risk management. Risks, 5(41), 30 pages. Download

•  Zhang, S., J. Xu, L.-H. Lee, E.-P. Chew, E.-P. Wong, C.-H. Chen. 2017. Optimal Computing Budget Allocation for Particle Swarm Optimization in Stochastic Optimization. IEEE Transactions on Evolutionary Computation, 21(2), 206-219. Download

•  Taghiyeh, S., J. Xu. 2016. A new particle swarm optimization algorithm for noisy optimization. Swarm Intelligence, 10(3), 161-192. Download

•  Zhu, C., J. Xu, C.-H. Chen, L.-H. Lee, J.-Q. Hu. 2016. Balancing search and estimation in random search based stochastic simulation optimization. IEEE Transactions on Automatic Control, 61 (11), 3593-3598. Download

•  Xu, J., S. Zhang, E. Huang, C.-H. Chen, L.-H. Lee, N. Celik. 2016. MOTOS: Multi-fidelity optimization via ordinal transformation and optimal sampling. Asia-Pacific Journal of Operational Research, 33 (3), 26 pages. Download

•  Li, M., F. Yang, R. Uzsoy, and J. Xu. 2016. A metamodel-based Monte Carlo simulation approach for responsive production planning of manufacturing systems. Journal of Manufacturing Systems 38, 114-133. Download

•  Zhang, S., L.-H. Lee, E.-P. Chew, J. Xu, C.-H. Chen. 2016. A simulation budget allocation procedure for enhancing the efficiency of optimal subset selection. IEEE Transactions on Automatic Control 61(1) 62-75. Download

•  Liu, L., J. Xu, C. Qiao, H. Yu, L. Li. 2015. VMSA: A Performance Preserving Online VM Splitting and Placement Algorithm in Dynamic Cloud Environments. Journal of Supercomputing, published online, 72 3169-3193. Download

•  Xu, J., E. Huang, C.-H. Chen, L.-H. Lee. 2015. Simulation optimization: a review and exploration in the new era of cloud computing and big data. Asia-Pacific Journal of Operational Research 32(3), 34 pages. Download

•  Xu, J., Vidyashankar, A., and Nielsen, M. 2014. "Drug Resistance or Re-emergence? Simulating Equine Parasites", ACM Transactions on Modeling and Computer Simulation, 24(4), Article 20. Download

•  Brantley, M.W., Lee, L.-H., Chen, C.-H., and Xu, J. 2014. An Efficient Simulation Budget Allocation Method Incorporating Regression for Partitioned Domains. Automatica, 50: 1391-1400. Download

•  Xu, J., Nelson, B.L., and Hong, L.J. 2013. An Adaptive Hyperbox Algorithm for Discrete Optimization via Simulation. INFORMS Journal on Computing, 25:133-146. Download paper and appendix

•  Malthouse, E., Qiu, D., and Xu, J. 2012. Optimal Selection of Media Vehicles using Customer Databases. Expert Systems with Applications, 39:13035-13045. Download

•  Xu, R., Xu, J., and Wunsch, D.C. 2012. A Comparison Study of Validity Indices on Swarm Intelligence-Based Clustering. IEEE Transactions on Systems, Man and Cybernetics - Part B, 42:1243 - 1256. Download

•  Hong, L.J, Nelson, B.L., Xu, J. 2011. Speeding Up COMPASS for High-Dimensional Discrete Optimization via Simulation. Operations Research Letters, 38(6) 550-555. Download

•  Xu, J., Nelson, B.L., Hong, L. J. 2010. Industrial Strength COMPASS: A Comprehensive Algorithm and Software for Optimization via Simulation, ACM Transactions on Modeling and Computer Simulation, 20(1). Download

•  Subramanian, D., Huang, P., Pulavarthi, C., Xu, J., Sekhar, H., Zhan, S., Tripathi, S. and Kumar, S. 2010. Risk-adjusted approach to optimize investments in product development portfolios, IBM Journal of Research & Development, 54(3). Download

•  Xu, R., Xu, J., Wunsch, D.C. 2009. MicroRNA expression profile based cancer classification using Default ARTMAP, Neural Networks 22(5) 774-780. Download

•  Xiao, S., Zeng, Q., Wang, J., Xu, J., and Wang, Y. 2003. Realization of multiwavelength label optical packet switching. IEEE Photonics Technology Letters, 15:605-607. Download

Book Chapters

•  Xu, J. 2017. Model calibration. A. Tolk, J. Fowler, G.Shao, and E. Yucesan, eds. Advances In Modeling And Simulation - Seminal Research from 50 Years of Winter Simulation Conferences, Chapter 3, 27-46. Springer Series of Simulation Foundations, Methods, and Applications, New York. Download

•  Hong, L. J, B. L. Nelson, J. Xu. 2014. Discrete Optimization via Simulation. In M.C. Fu (Eds.), Handbook on Simulation Optimization, Chapter 2, 9-44. Springer, New York. Download

Selected Conference Proceedings Papers

•  Goodwin, T., Xu, J., Celik, N., & Chen, C.-H. (2023, December). Epsilon Optimal Sampling. In 2023 Winter Simulation Conference (WSC) (pp. 3412-3423). IEEE.

•  Goodwin, T., Xu, J., Chen, C.-H., and Celik, N. Efficient Simulation Optimization with Simulation Learning. In 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE). IEEE.

•  Yavuz, A., Darville, J., Celik, N., Xu, J., Chen, C.H., Langhals, B. and Engle, R., 2020, December. Advancing self-healing capabilities in interconnected microgrids via dynamic data driven applications system with relational database management. In 2020 Winter Simulation Conference (WSC) (pp. 2030-2041). IEEE.

•  Wang, H., Shen, H., Liu, Q., Zheng, K. and Xu, J., 2020, August. A Reinforcement Learning Based System for Minimizing Cloud Storage Service Cost. In 49th International Conference on Parallel Processing-ICPP (pp. 1-10).

•  Li, Y., Fu, M. and Xu, J., 2019. Monte Carlo tree search with optimal computing budget allocation. In 2019 IEEE 58th Conference on Decision and Control (CDC) (pp. 6332-6337). IEEE.

•  Zhu, C., Shen, H. and Xu, J., 2019, July. An Economic Analysis of Cloud Computing Service Using Reclaimed Resources. In 2019 IEEE 12th International Conference on Cloud Computing (CLOUD) (pp. 50-57). IEEE.

•  Peng, Y., Song, J., Xu, J. and Chong, E., 2018, August. Dynamic Sampling for Feasibility Determination. In 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) (pp. 887-892). IEEE.

•  Guharay, S., K.-C. Chang, J. Xu. Estimation of Value-at-Risk Using Mixture Copula Model for Heavy-Tailed Operational Risk Losses in Financial, Insurance & Climatological Data. Proceedings of 2018 International Conference on Information Fusion, 1-6, IEEE Press.

•  Peng, Y., E. Huang, J. Xu, C.-H. Chen. Concurrent Engineering: An Optimization Approach for Team Coordination through Information Sharing. Proceedings of 2017 Conference on Automation Science and Engineering, 282-287, IEEE Press. Finalist for Best Conference Paper Award.

•  Rosen, S., P. Salemi, B. Wickam, A. Williams, C. Harvey, E. Catlett, S. Taghiyeh, and J. Xu. Parallel Empirical Stochastic Branch and Bound for Large-scale Discrete Optimization via Simulation. Proceedings of 2016 Winter Simulation Conference, 626-637.

•  Fujimoto, R.M., Celik, N., Damgacioglu, H., Hunter, M., Jin, D., Son, Y.J. and Xu, J., 2016, December. Dynamic data driven application systems for smart cities and urban infrastructures. In 2016 Winter Simulation Conference (WSC) (pp. 1143-1157). IEEE.

•  Koohi, A., Homayoun, H., Xu, J. and Orooji, M., 2016, February. Co-clustering of diseases, genes, and drugs for identification of their related gene modules. In 2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) (pp. 407-411). IEEE.

•  Xu, J. and Zhu, C., 2015, September. Optimal pricing and capacity planning of a new economy cloud computing service class. In 2015 International Conference on Cloud and Autonomic Computing (pp. 149-157). IEEE.

•  Liu, L., Xu, J., Yu, H. and Wei, X., 2015, June. Joint admission control and provisioning for virtual machines. In 2015 IEEE International Conference on Communications (ICC) (pp. 332-337). IEEE.

•  Xu, J., S. Zhang, C. C. Huang, C. H. Chen, L. H. Lee, and N. Celik, An Ordinal Transformation Framework for Multi-Fidelity Simulation Optimization, Proceedings of 2014 IEEE Conference on Automation Science and Engineering, 385-390, Taipei, Taiwan, 2014.

•  Xu, J., Zhang, S., Huang, E., Chen, C.-H., Lee, L.H., and Celik, N.. 2014. Efficient Multi-Fidelity Simulation Optimization. In Proc. of 2014 Winter Simulation Conference.

•  Li, M., Yang, F., and Xu, J. 2014. A Metamodeling-based Approach for Production Planning. In Proc. of 2014 Winter Simulation Conference.

•  Liu, L., Xu, J., Qiao, C., Yu, H., and Li, L. 2014. A Novel Performance Preserving VM Splitting and Assignment Scheme. Proc. of 2014 IEEE International Conference on Communications, 4215-4220, Sydney, Australia, 2014.

•  Zhu, C., Xu, J., Chen, C.-H., Lee, L.-H., and Hu, J.-Q. 2013. Determining the optimal sampling set size for random search. In Proc. of 2013 Winter Simulation Conference, pp. 1016-1024, Washington, D.C. 2013.

•  Vidyashankar, A. V. and Xu, J. 2013. Adaptive Nested Rare Event Simulation Algorithms. In Proc. of 2013 Winter Simulation Conference, pp. 736-744, Washington, D.C. 2013.

•  Collamore, C., Vidyashankar, A., and Xu, J., 2013. Rare Event Simulation for Stochastic Fixed Point Equations Related to the Smoothing Transformation. In Proc. of 2013 Winter Simulation Conference, pp. 555-563, Washington, D.C. 2013.

•  Xu, J. 2012. Efficient Discrete Optimization via Simulation Using Stochastic Kriging. In Proc. of 2012 Winter Simulation Conference, pp. 466-477.

•  Xu, R., Xu, J., Wunsch, D.C. 2010. Clustering with Differential Evolution Particle Swarm Optimization. IEEE World Congress on Computational Intelligence, Barcelona, Spain. Best Overall Paper Award.

•  Huang, P., Subramanian, D., Xu, J. 2010. An importance sampling method for portfolio CVaR estimation with Gaussian copula models, Winter Simulation Conference, Baltimore, Maryland.

•  Xu, R., Xu, J., Wunsch, D.C. 2009. Using default ARTMAP for cancer classification with MicroRNA expression signatures, International Joint Conference on Neural Networks, Atlanta, GA.