| A Constructive Approach to Penalized Regression J Huang, Y Jiao, Y Liu, X Lu Journal of Machine Learning Research 19 (10), 1-37, 2018 | 111 | 2018 |
| Stripe noise separation and removal in remote sensing images by consideration of the global sparsity and local variational properties X Liu, X Lu, H Shen, Q Yuan, Y Jiao, L Zhang IEEE Transactions on Geoscience and Remote Sensing 54 (5), 3049-3060, 2016 | 101 | 2016 |
| A primal dual active set with continuation algorithm for the ℓ0-regularized optimization problem Y Jiao, B Jin, X Lu Applied and Computational Harmonic Analysis 39 (3), 400-426, 2015 | 95 | 2015 |
| Convergence rate analysis for deep ritz method C Duan, Y Jiao, Y Lai, X Lu, Z Yang arXiv preprint arXiv:2103.13330, 2021 | 84 | 2021 |
| A universal destriping framework combining 1-D and 2-D variational optimization methods X Liu, H Shen, Q Yuan, X Lu, C Zhou IEEE Transactions on Geoscience and Remote Sensing 56 (2), 808-822, 2017 | 65 | 2017 |
| Alternating direction method of multipliers for linear inverse problems Y Jiao, Q Jin, X Lu, W Wang SIAM Journal on Numerical Analysis 54 (4), 2114-2137, 2016 | 60 | 2016 |
| A primal dual active set algorithm with continuation for compressed sensing Q Fan, Y Jiao, X Lu IEEE Transactions on Signal Processing 62 (23), 6276-6285, 2014 | 54 | 2014 |
| A nonconvex model with minimax concave penalty for image restoration J You, Y Jiao, X Lu, T Zeng Journal of Scientific Computing 78 (2), 1063-1086, 2019 | 52 | 2019 |
| Numerical identification of a Robin coefficient in parabolic problems B Jin, X Lu Mathematics of Computation 81 (279), 1369-1398, 2012 | 52 | 2012 |
| Membership affinity lasso for fuzzy clustering L Guo, L Chen, X Lu, CLP Chen IEEE Transactions on Fuzzy Systems 28 (2), 294-307, 2019 | 50 | 2019 |
| Group Sparse Recovery via the Penalty: Theory and Algorithm Y Jiao, B Jin, X Lu IEEE Transactions on Signal Processing 65 (4), 998-1012, 2016 | 46 | 2016 |
| A unified primal dual active set algorithm for nonconvex sparse recovery J Huang, Y Jiao, B Jin, J Liu, X Lu, C Yang | 45 | 2021 |
| Preasymptotic convergence of randomized Kaczmarz method Y Jiao, B Jin, X Lu Inverse Problems 33 (12), 125012, 2017 | 45 | 2017 |
| A rate of convergence of physics informed neural networks for the linear second order elliptic pdes Y Jiao, Y Lai, D Li, X Lu, F Wang, Y Wang, JZ Yang arXiv preprint arXiv:2109.01780, 2021 | 44 | 2021 |
| An alternating direction method with continuation for nonconvex low rank minimization ZF Jin, Z Wan, Y Jiao, X Lu Journal of Scientific Computing 66, 849-869, 2016 | 43 | 2016 |
| On the regularizing property of stochastic gradient descent B Jin, X Lu Inverse Problems 35 (1), 015004, 2018 | 42 | 2018 |
| A simple finite element method for boundary value problems with a Riemann–Liouville derivative B Jin, R Lazarov, X Lu, Z Zhou Journal of Computational and Applied Mathematics 293, 94-111, 2016 | 41 | 2016 |
| An analysis of finite element approximation in electrical impedance tomography M Gehre, B Jin, X Lu Inverse Problems 30 (4), 045013, 2014 | 40 | 2014 |
| Robust decoding from 1-bit compressive sampling with ordinary and regularized least squares J Huang, Y Jiao, X Lu, L Zhu SIAM Journal on Scientific Computing 40 (4), A2062-A2086, 2018 | 33* | 2018 |
| Tikhonov regularisation method for simultaneous inversion of the source term and initial data in a time-fractional diffusion equation Z Ruan, JZ Yang, X Lu East Asian Journal on Applied Mathematics 5 (3), 273-300, 2015 | 29 | 2015 |
Yuling JiaoUniversity of Wuhan在 whu.edu.cn 的電子郵件地址已通過驗證
