| A level-set adjoint-state method for crosswell transmission-reflection traveltime tomography W Li, S Leung, J Qian Geophysical Journal International 199 (1), 348-367, 2014 | 39 | 2014 |
| A level-set method for imaging salt structures using gravity data W Li, W Lu, J Qian Geophysics 81 (2), G27-G40, 2016 | 38 | 2016 |
| A multiple level-set method for 3D inversion of magnetic data W Li, W Lu, J Qian, Y Li Geophysics 82 (5), J61-J81, 2017 | 36 | 2017 |
| A fast local level set adjoint state method for first arrival transmission traveltime tomography with discontinuous slowness W Li, S Leung Geophysical Journal International 195 (1), 582-596, 2013 | 35 | 2013 |
| Joint inversion of gravity and traveltime data using a level-set-based structural parameterization W Li, J Qian Geophysics 81 (6), G107-G119, 2016 | 32 | 2016 |
| Joint inversion of surface and borehole magnetic data: A level-set approach W Li, J Qian, Y Li Geophysics 85 (1), J15-J32, 2020 | 20 | 2020 |
| Uniformly convex neural networks and non-stationary iterated network Tikhonov (iNETT) method D Bianchi, G Lai, W Li Inverse Problems 39 (5), 055002, 2023 | 16 | 2023 |
| Newton-type Gauss–Seidel Lax–Friedrichs high-order fast sweeping methods for solving generalized eikonal equations at large-scale discretization W Li, J Qian Computers & Mathematics with Applications 79 (4), 1222-1239, 2020 | 13 | 2020 |
| Simultaneously recovering both domain and varying density in inverse gravimetry by efficient level-set methods W Li, J Qian Inverse Problems & Imaging 15 (3), 2021 | 9 | 2021 |
| Graph Laplacian and Neural Networks for Inverse Problems in Imaging: GraphLaNet D Bianchi, M Donatelli, D Evangelista, W Li, EL Piccolomini International Conference on Scale Space and Variational Methods in Computer …, 2023 | 5 | 2023 |
| A data and knowledge driven approach for SPECT using convolutional neural networks and iterative algorithms W Ao, W Li, J Qian Journal of Inverse and Ill-posed Problems 29 (4), 543-555, 2021 | 5 | 2021 |
| Kantorovich-Rubinstein metric based level-set methods for inverting modulus of gravity-force data W Li, J Qian Inverse Problems and Imaging 16 (6), 2022 | 4 | 2022 |
| A stochastic gradient descent approach with partitioned-truncated singular value decomposition for large-scale inverse problems of magnetic modulus data W Li, K Wang, T Fan Inverse Problems 38 (7), 075002, 2022 | 3 | 2022 |
| A level-set algorithm for the inverse problem of full magnetic gradient tensor data W Li, J Qian Applied Mathematics Letters 107, 106416, 2020 | 2 | 2020 |
| A data-dependent regularization method based on the graph Laplacian D Bianchi, D Evangelista, S Aleotti, M Donatelli, EL Piccolomini, W Li arXiv preprint arXiv:2312.16936, 2023 | 1 | 2023 |
| Learning on the correctness class for domain inverse problems of gravimetry Y Chen, W Li Machine Learning: Science and Technology 5 (3), 035072, 2024 | | 2024 |
| Learning on the correct class for domain inverse problems of gravimetry Y Chen, W Li arXiv preprint arXiv:2403.07393, 2024 | | 2024 |
| Joint inversion of gravity and traveltime data using a level-set based structural approach W Li, J Qian SEG 2019 Workshop: Mathematical Geophysics: Traditional vs Learning, Beijing …, 2020 | | 2020 |
| A level-set approach for joint inversion of surface and borehole magnetic data W Li, J Qian, Y Li SEG International Exposition and Annual Meeting, SEG-2018-2996911, 2018 | | 2018 |
| A multiple level set method for three-dimensional inversion of magnetic data YL Wenbin Li, Wangtao Lu, Jianliang Qian SEG Technical Program Expanded Abstracts 2017, 1723-1728, 2017 | | 2017 |
