| Applications of the fractional-random-weight bootstrap L Xu, C Gotwalt, Y Hong, CB King, WQ Meeker The American Statistician 74 (4), 345-358, 2020 | 35 | 2020 |
| MOANA: Modeling and analyzing I/O variability in parallel system experimental design KW Cameron, A Anwar, Y Cheng, L Xu, B Li, U Ananth, J Bernard, ... IEEE Transactions on Parallel and Distributed Systems 30 (8), 1843-1856, 2019 | 21 | 2019 |
| A polynomial time algorithm for multivariate interpolation in arbitrary dimension via the Delaunay triangulation TH Chang, LT Watson, TCH Lux, B Li, L Xu, AR Butt, KW Cameron, ... Proceedings of the ACMSE 2018 Conference, 1-8, 2018 | 20 | 2018 |
| Statistical perspectives on reliability of artificial intelligence systems Y Hong, J Lian, L Xu, J Min, Y Wang, LJ Freeman, X Deng Quality Engineering 35 (1), 56-78, 2023 | 15 | 2023 |
| Mixed-input Gaussian process emulators for computer experiments with a large number of categorical levels Q Zhang, P Chien, Q Liu, L Xu, Y Hong Journal of Quality Technology 53 (4), 410-420, 2021 | 13 | 2021 |
| Prediction of high-performance computing input/output variability and its application to optimization for system configurations L Xu, T Lux, T Chang, B Li, Y Hong, L Watson, A Butt, D Yao, K Cameron Quality Engineering 33 (2), 318-334, 2021 | 13 | 2021 |
| Predictive modeling of i/o characteristics in high performance computing systems TCH Lux, TH Chang, LT Watson, J Bernard, B Li, L Xu, G Back, AR Butt, ... Proc. 2018 Spring Simulation Multiconference, 26th High Performance …, 2018 | 13 | 2018 |
| Modeling I/O performance variability in high-performance computing systems using mixture distributions L Xu, Y Wang, T Lux, T Chang, J Bernard, B Li, Y Hong, K Cameron, ... Journal of Parallel and Distributed Computing 139, 87-98, 2020 | 11 | 2020 |
| Novel meshes for multivariate interpolation and approximation TCH Lux, LT Watson, TH Chang, J Bernard, B Li, X Yu, L Xu, G Back, ... Proceedings of the ACMSE 2018 Conference, 1-7, 2018 | 11 | 2018 |
| Nonparametric distribution models for predicting and managing computational performance variability TCH Lux, LT Watson, TH Chang, J Bernard, B Li, X Yu, L Xu, G Back, ... SoutheastCon 2018, 1-7, 2018 | 10 | 2018 |
| An algorithm for constructing monotone quintic interpolating splines TCH Lux, LT Watson, TH Chang, L Xu, Y Wang, Y Hong 2020 Spring Simulation Conference (Springsim), 1-12, 2020 | 9 | 2020 |
| Spatial variable selection and an application to Virginia Lyme disease emergence Y Xie, L Xu, J Li, X Deng, Y Hong, K Kolivras, DN Gaines Journal of the American statistical association, 2019 | 9 | 2019 |
| Predicting system performance by interpolation using a high-dimensional Delaunay triangulation TH Chang, LT Watson, TCH Lux, J Bernard, B Li, L Xu, G Back, AR Butt, ... Proc. 2018 Spring Simulation Multiconference, 26th High Performance …, 2018 | 6 | 2018 |
| Design strategies and approximation methods for high-performance computing variability management Y Wang, L Xu, Y Hong, R Pan, T Chang, T Lux, J Bernard, L Watson, ... Journal of Quality Technology 55 (1), 88-103, 2023 | 4 | 2023 |
| Functional and shape data analysis L Xu, Y Hong Journal of Quality Technology 49 (4), 419, 2017 | 3 | 2017 |
| Computing the umbrella neighbourhood of a vertex in the Delaunay triangulation and a single Voronoi cell in arbitrary dimension TH Chang, LT Watson, TCH Lux, S Raghvendra, B Li, L Xu, AR Butt, ... SoutheastCon 2018, 1-8, 2018 | 2 | 2018 |
| Adaptive-region sequential design with quantitative and qualitative factors in application to HPC configuration X Cai, L Xu, CD Lin, Y Hong, X Deng Journal of Quality Technology 56 (1), 5-19, 2024 | 1* | 2024 |
| Effective nonparametric distribution modeling for distribution approximation applications TCH Lux, LT Watson, TH Chang, L Xu, Y Wang, J Bernard, Y Hong, ... 2020 SoutheastCon 2, 1-6, 2020 | 1 | 2020 |
| Prediction for distributional outcomes in high-performance computing input/output variability L Xu, Y Hong, MD Morris, KW Cameron Journal of the Royal Statistical Society Series C: Applied Statistics, qlae001, 2024 | | 2024 |
| Deep Neural Network Identification of Limnonectes Species and New Class Detection Using Image Data L Xu, Y Hong, EP Smith, DS McLeod, X Deng, LJ Freeman Journal of Agricultural, Biological and Environmental Statistics, 1-21, 2023 | | 2023 |
