| Numerical solution of high dimensional stationary Fokker–Planck equations via tensor decomposition and Chebyshev spectral differentiation Y Sun, M Kumar Computers & Mathematics with Applications 67 (10), 1960-1977, 2014 | 63 | 2014 |
| Uncertainty propagation in orbital mechanics via tensor decomposition Y Sun, M Kumar Celestial Mechanics and Dynamical Astronomy 124, 269-294, 2016 | 37 | 2016 |
| A numerical solver for high dimensional transient Fokker–Planck equation in modeling polymeric fluids Y Sun, M Kumar Journal of Computational Physics 289, 149-168, 2015 | 33 | 2015 |
| Nonlinear Bayesian filtering based on Fokker-Planck equation and tensor decomposition Y Sun, K Mrinal Information Fusion (Fusion), 2015 18th International Conference on, 1483 - 1488, 2015 | 23 | 2015 |
| A meshless p-PUFEM Fokker-Planck equation solver with automatic boundary condition enforcement Y Sun, M Kumar 2012 American Control Conference (ACC), 74-79, 2012 | 12 | 2012 |
| A tensor decomposition approach to high dimensional stationary Fokker-Planck equations Y Sun, M Kumar 2014 American Control Conference, 4500-4505, 2014 | 11 | 2014 |
| Comparison of stochastic response surface method and response surface method for structure reliability analysis K Lin, H Qiu, L Gao, Y Sun 2009 Second International Conference on Intelligent Computation Technology …, 2009 | 10 | 2009 |
| A Tensor Decomposition Method for High Dimensional Fokker-Planck Equation Modeling Polymeric Liquids Y Sun, M Kumar AIAA Science and Technology Forum and Exposition, 2015 | 9 | 2015 |
| A Markov chain Monte Carlo particle solution of the initial uncertainty propagation problem Y Sun, M Kumar AIAA Guidance, Navigation, and Control Conference, 4937, 2012 | 9 | 2012 |
| Solution of high dimensional transient Fokker-Planck equations by tensor decomposition Y Sun, M Kumar 2015 American Control Conference (ACC), 1475-1480, 2015 | 8 | 2015 |
| Uncertainty forecasting in the perturbed two-body problem via tensor decomposition Y Sun, M Kumar 2016 American Control Conference (ACC), 5431-5436, 2016 | 6 | 2016 |
| Improving factual consistency of abstractive summarization on customer feedback Y Liu, Y Sun, V Gao arXiv preprint arXiv:2106.16188, 2021 | 5 | 2021 |
| On the Stochastic Modeling of Subcritical Primary Atomization in Liquid Rocket Engines M Kumar, Y Sun, S Thakur AIAA SciTech 2014 Conference,# AIAA-2014-0312 (Jan. 2014), 2014 | 3 | 2014 |
| Leveraging seq2seq language generation for multi-level product issue identification Y Liu, V Chordia, H Li, SF Dehkordy, Y Sun, V Gao, N Zhang Proceedings of the Fifth Workshop on e-Commerce and NLP (ECNLP 5), 20-28, 2022 | 1 | 2022 |
| Stochastic response surface method based on weighted regression and its application to fatigue reliability analysis of crankshaft YF Sun, HB Qiu, L Gao, K Lin, XZ Chu ASME International Mechanical Engineering Congress and Exposition 43864, 263-268, 2009 | 1 | 2009 |
| SPAR: Personalized Content-Based Recommendation via Long Engagement Attention C Zhang, Y Sun, J Chen, J Lei, M Abdul-Mageed, S Wang, R Jin, S Park, ... arXiv preprint arXiv:2402.10555, 2024 | | 2024 |
| On the numerical solution of high dimensional Fokker-Planck equations Y Sun University of Florida, 2014 | | 2014 |
Mrinal KumarThe Ohio State UniversityVerified email at osu.edu
