| Applications of supervised learning techniques on undergraduate admissions data T Lux, R Pittman, M Shende, A Shende Proceedings of the ACM International Conference on Computing Frontiers, 412-417, 2016 | 33 | 2016 |
| 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 | 23 | 2018 |
| 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 | 22 | 2019 |
| Algorithm 1012: DELAUNAYSPARSE: Interpolation via a sparse subset of the Delaunay triangulation in medium to high dimensions TH Chang, LT Watson, TCH Lux, AR Butt, KW Cameron, Y Hong ACM Transactions on Mathematical Software (TOMS) 46 (4), 1-20, 2020 | 20 | 2020 |
| Interpolation of sparse high-dimensional data TCH Lux, LT Watson, TH Chang, Y Hong, K Cameron Numerical Algorithms 88, 281-313, 2021 | 18 | 2021 |
| Least-squares solutions to polynomial systems of equations with quantum annealing TH Chang, TCH Lux, SS Tipirneni Quantum Information Processing 18 (12), 374, 2019 | 17 | 2019 |
| Predictive modeling of I/O characteristics in high performance computing systems TCH Lux, LT Watson, TH Chang, J Bernard, B Li, L Xu, G Back, AR Butt, ... Proceedings of the High Performance Computing Symposium, 8, 2018 | 15 | 2018 |
| 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 | 14 | 2021 |
| Managing computationally expensive blackbox multiobjective optimization problems with libensemble TH Chang, J Larson, LT Watson, TCH Lux Proceedings of the 2020 Spring Simulation Conference, 1-12, 2020 | 12 | 2020 |
| 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 |
| An Algorithm for Constructing Montone Quintic Interpolating Splines TCH Lux, LT Watson, TH Chang, L Xu, Y Wang, Y Hong Proceedings of High Performance Computing Symposium, 2020 | 10 | 2020 |
| 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 |
| Algorithm 1028: vtmop: solver for blackbox multiobjective optimization problems TH Chang, LT Watson, J Larson, N Neveu, WI Thacker, S Deshpande, ... ACM Transactions on Mathematical Software (TOMS) 48 (3), 1-34, 2022 | 8 | 2022 |
| 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 | 6 | 2023 |
| 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, ... Proceedings of the High Performance Computing Symposium, 2, 2018 | 6 | 2018 |
| Managing computationally expensive blackbox multiobjective optimization problems using libEnsemble TH Chang, J Larson, LT Watson, TCH Lux Proceedings of the 28th High Performance Computing Symposium, 2020 | 5 | 2020 |
| Algorithm 1031: MQSI—Monotone Quintic Spline Interpolation T Lux, LT Watson, T Chang, W Thacker ACM Transactions on Mathematical Software 49 (1), 1-17, 2023 | 3 | 2023 |
| A Case Study on a Sustainable Framework for Ethically Aware Predictive Modeling TCH Lux, S Nagy, M Almanaa, S Yao, R Bixler IEEE International Symposium on Technology and Society (ISTAS), 2019 | 3 | 2019 |
| Convergence rate evaluation of derivative-free optimization techniques T Lux Machine Learning, Optimization, and Big Data: Second International Workshop …, 2016 | 3 | 2016 |
Yili HongProfessor of Statistics, Virginia TechGeverifieerd e-mailadres voor vt.edu