| Solving parametric PDE problems with artificial neural networks Y Khoo, J Lu, L Ying European Journal of Applied Mathematics 32 (3), 421-435, 2021 | 403 | 2021 |
| High-field Shubnikov–de Haas oscillations in the topological insulator BiTeSe J Xiong, Y Luo, YH Khoo, S Jia, RJ Cava, NP Ong Physical Review B—Condensed Matter and Materials Physics 86 (4), 045314, 2012 | 235 | 2012 |
| Solving for high-dimensional committor functions using artificial neural networks Y Khoo, J Lu, L Ying Research in the Mathematical Sciences 6, 1-13, 2019 | 146 | 2019 |
| SwitchNet: a neural network model for forward and inverse scattering problems Y Khoo, L Ying SIAM Journal on Scientific Computing 41 (5), A3182-A3201, 2019 | 126 | 2019 |
| Global registration of multiple point clouds using semidefinite programming KN Chaudhury, Y Khoo, A Singer SIAM Journal on Optimization 25 (1), 468-501, 2015 | 101 | 2015 |
| Non-iterative rigid 2D/3D point-set registration using semidefinite programming Y Khoo, A Kapoor IEEE Transactions on Image Processing 25 (7), 2956-2970, 2016 | 52 | 2016 |
| Method of moments for 3D single particle ab initio modeling with non-uniform distribution of viewing angles N Sharon, J Kileel, Y Khoo, B Landa, A Singer Inverse Problems 36 (4), 044003, 2020 | 51 | 2020 |
| Tuning the quantum oscillations of surface Dirac electrons in the topological insulator BiTeSe by liquid gating J Xiong, Y Khoo, S Jia, RJ Cava, NP Ong Physical Review B—Condensed Matter and Materials Physics 88 (3), 035128, 2013 | 41 | 2013 |
| Semidefinite programming approach for the quadratic assignment problem with a sparse graph JFS Bravo Ferreira, Y Khoo, A Singer Computational Optimization and Applications 69, 677-712, 2018 | 35 | 2018 |
| Drop-activation: implicit parameter reduction and harmonious regularization S Liang, Y Khoo, H Yang Communications on Applied Mathematics and Computation 3, 293-311, 2021 | 32 | 2021 |
| Open problem: Tightness of maximum likelihood semidefinite relaxations AS Bandeira, Y Khoo, A Singer Conference on Learning Theory, 1265-1267, 2014 | 24 | 2014 |
| Committor functions via tensor networks Y Chen, J Hoskins, Y Khoo, M Lindsey Journal of Computational Physics 472, 111646, 2023 | 23 | 2023 |
| Convex relaxation approaches for strictly correlated density functional theory Y Khoo, L Ying SIAM Journal on Scientific Computing 41 (4), B773-B795, 2019 | 21 | 2019 |
| Efficient construction of tensor ring representations from sampling Y Khoo, J Lu, L Ying Multiscale Modeling & Simulation 19 (3), 1261-1284, 2021 | 17* | 2021 |
| Autocorrelation analysis for cryo-EM with sparsity constraints: improved sample complexity and projection-based algorithms T Bendory, Y Khoo, J Kileel, O Mickelin, A Singer Proceedings of the National Academy of Sciences 120 (18), e2216507120, 2023 | 16 | 2023 |
| A semigroup method for high dimensional committor functions based on neural network H Li, Y Khoo, Y Ren, L Ying Mathematical and Scientific Machine Learning, 598-618, 2022 | 16* | 2022 |
| Semidefinite relaxation of multimarginal optimal transport for strictly correlated electrons in second quantization Y Khoo, L Lin, M Lindsey, L Ying SIAM Journal on Scientific Computing 42 (6), B1462-B1489, 2020 | 16 | 2020 |
| Generative modeling via tensor train sketching Y Hur, JG Hoskins, M Lindsey, EM Stoudenmire, Y Khoo Applied and Computational Harmonic Analysis 67, 101575, 2023 | 14 | 2023 |
| Large-scale sensor network localization via rigid subnetwork registration KN Chaudhury, Y Khoo, A Singer 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 14 | 2015 |
| High-dimensional density estimation with tensorizing flow Y Ren, H Zhao, Y Khoo, L Ying Research in the Mathematical Sciences 10 (3), 30, 2023 | 8 | 2023 |
Lexing YingProfessor of Mathematics, Stanford UniversityVerified email at stanford.edu
