| Convergence of volatile power markets with price-based demand response Z Zhao, L Wu, G Song IEEE transactions on Power Systems 29 (5), 2107-2118, 2014 | 102 | 2014 |
| Reproducing kernel Banach spaces with the ℓ1 norm G Song, H Zhang, FJ Hickernell Applied and Computational Harmonic Analysis 34 (1), 96-116, 2013 | 72 | 2013 |
| Multivariate interpolation with increasingly flat radial basis functions of finite smoothness G Song, J Riddle, GE Fasshauer, FJ Hickernell Advances in Computational Mathematics 36, 485-501, 2012 | 45 | 2012 |
| Reproducing Kernel Banach Spaces with the ℓ1 Norm II: Error Analysis for Regularized Least Square Regression G Song, H Zhang Neural computation 23 (10), 2713-2729, 2011 | 45 | 2011 |
| A frame theoretic approach to the nonuniform fast Fourier transform A Gelb, G Song SIAM Journal on Numerical Analysis 52 (3), 1222-1242, 2014 | 34 | 2014 |
| Approximating the inverse frame operator from localized frames G Song, A Gelb Applied and Computational Harmonic Analysis 35 (1), 94-110, 2013 | 22 | 2013 |
| Joint sparse recovery based on variances B Adcock, A Gelb, G Song, Y Sui SIAM Journal on Scientific Computing 41 (1), A246-A268, 2019 | 21 | 2019 |
| Approximation of high-dimensional kernel matrices by multilevel circulant matrices G Song, Y Xu Journal of Complexity 26 (4), 375-405, 2010 | 18 | 2010 |
| Generalized sparse Bayesian learning and application to image reconstruction J Glaubitz, A Gelb, G Song SIAM/ASA Journal on Uncertainty Quantification 11 (1), 262-284, 2023 | 13 | 2023 |
| Multi-task learning in vector-valued reproducing kernel Banach spaces with the ℓ1 norm R Lin, G Song, H Zhang Journal of Complexity 63, 101514, 2021 | 13 | 2021 |
| Piece-wise moving least squares approximation W Li, G Song, G Yao Applied Numerical Mathematics 115, 68-81, 2017 | 13 | 2017 |
| PCM-TV-TFV: A novel two-stage framework for image reconstruction from fourier data W Guo, G Song, Y Zhang SIAM Journal on Imaging Sciences 10 (4), 2250-2274, 2017 | 12 | 2017 |
| Detecting edges from non-uniform Fourier data using Fourier frames A Gelb, G Song Journal of Scientific Computing 71, 737-758, 2017 | 8 | 2017 |
| Approximation of kernel matrices in machine learning G Song Syracuse University, 2009 | 8 | 2009 |
| A two-step fixed-point proximity algorithm for a class of non-differentiable optimization models in machine learning Z Li, G Song, Y Xu Journal of Scientific Computing 81 (2), 923-940, 2019 | 6 | 2019 |
| A FIXED-POINT PROXIMITY APPROACH TO SOLVING THE SUPPORT VECTOR REGRESSION WITH THE GROUP LASSO REGULARIZATION. Z Li, G Song, Y Xu International Journal of Numerical Analysis & Modeling 15, 2018 | 5 | 2018 |
| A high-dimensional inverse frame operator approximation technique G Song, J Davis, A Gelb SIAM Journal on Numerical Analysis 54 (4), 2282-2301, 2016 | 4 | 2016 |
| Approximation of kernel matrices by circulant matrices and its application in kernel selection methods G Song, Y Xu Frontiers of mathematics in China 5, 123-160, 2010 | 4 | 2010 |
| Sequential image recovery from noisy and under-sampled Fourier data Y Xiao, J Glaubitz, A Gelb, G Song Journal of Scientific Computing 91 (3), 79, 2022 | 3 | 2022 |
| A divide-and-conquer algorithm for distributed optimization on networks N Emirov, G Song, Q Sun Applied and Computational Harmonic Analysis 70, 101623, 2024 | 2 | 2024 |
