| Stability of stationary inverse transport equation in diffusion scaling K Chen, Q Li, L Wang Inverse Problems 34 (2), 025004, 2018 | 24 | 2018 |
| Online learning in optical tomography: a stochastic approach K Chen, Q Li, JG Liu Inverse Problems 34 (7), 075010, 2018 | 21 | 2018 |
| Randomized sampling for basis function construction in generalized finite element methods K Chen, Q Li, J Lu, SJ Wright Multiscale Modeling & Simulation 18 (2), 1153-1177, 2020 | 20 | 2020 |
| Random sampling and efficient algorithms for multiscale PDEs K Chen, Q Li, J Lu, SJ Wright SIAM Journal on Scientific Computing 42 (5), A2974-A3005, 2020 | 16 | 2020 |
| Deep Operator Learning Lessens the Curse of Dimensionality for PDEs K Chen, C Wang, H Yang Transactions on Machine Learning Research, 2023 | 10 | 2023 |
| Tensor-structured sketching for constrained least squares K Chen, R Jin SIAM Journal on Matrix Analysis and Applications 42 (4), 1703-1731, 2021 | 9* | 2021 |
| A low-rank Schwarz method for radiative transfer equation with heterogeneous scattering coefficient K Chen, Q Li, J Lu, SJ Wright Multiscale Modeling & Simulation 19 (2), 775-801, 2021 | 9 | 2021 |
| Structured random sketching for PDE inverse problems K Chen, Q Li, K Newton, SJ Wright SIAM Journal on Matrix Analysis and Applications 41 (4), 1742-1770, 2020 | 9 | 2020 |
| Stability of inverse transport equation in diffusion scaling and Fokker--Planck limit K Chen, Q Li, L Wang SIAM Journal on Applied Mathematics 78 (5), 2626-2647, 2018 | 5 | 2018 |
| Schwarz iteration method for elliptic equation with rough media based on random sampling K Chen, Q Li, SJ Wright Proceedings of the International Consortium of Chinese Mathematicians, 163, 2018 | 3 | 2018 |
| Low-rank approximation for multiscale PDEs K Chen, S Chen, Q Li, J Lu, SJ Wright Notices Amer. Math. Soc 69, 901-913, 2022 | 1 | 2022 |
| Pseudo-differential integral autoencoder network for inverse PDE operators K Chen, J Lai, C Wang arXiv preprint arXiv:2310.09856, 2023 | | 2023 |
| let data talk: data-regularized operator learning theory for inverse problems K Chen, C Wang, H Yang arXiv preprint arXiv:2310.09854, 2023 | | 2023 |
| Fast and high-order approximation of parabolic equations using hierarchical direct solvers and implicit Runge-Kutta methods K Chen, D Appelö, T Babb, PG Martinsson arXiv preprint arXiv:2306.02526, 2023 | | 2023 |
QIN LIUniversity of Wisconsin-MadisonVerified email at math.wisc.edu
