| From differential equation solvers to accelerated first-order methods for convex optimization H Luo, L Chen Mathematical Programming 195 (1), 735-781, 2022 | 61 | 2022 |
| Analysis of a time-stepping scheme for time fractional diffusion problems with nonsmooth data B Li, H Luo, X Xie SIAM Journal on Numerical Analysis 57 (2), 779-798, 2019 | 38 | 2019 |
| Accelerated primal-dual methods for linearly constrained convex optimization problems H Luo arXiv preprint arXiv:2109.12604, 2021 | 30 | 2021 |
| A primal-dual flow for affine constrained convex optimization H Luo ESAIM: Control, Optimisation and Calculus of Variations 28, 33, 2022 | 28 | 2022 |
| A unified convergence analysis of first order convex optimization methods via strong Lyapunov functions L Chen, H Luo arXiv preprint arXiv:2108.00132, 2021 | 23 | 2021 |
| Convergence Analysis of a Petrov–Galerkin Method for Fractional Wave Problems with Nonsmooth Data H Luo, B Li, X Xiaoping Journal of Scientific Computing 80, 957–992, 2019 | 20 | 2019 |
| First order optimization methods based on Hessian-driven Nesterov accelerated gradient flow L Chen, H Luo arXiv preprint arXiv:1912.09276, 2019 | 19 | 2019 |
| A time-spectral algorithm for fractional wave problems B Li, H Luo, X Xie Journal of Scientific Computing 77, 1164-1184, 2018 | 19 | 2018 |
| A unified differential equation solver approach for separable convex optimization: splitting, acceleration and nonergodic rate H Luo, Z Zhang Mathematics of Computation, 2025 | 15 | 2025 |
| Accelerated differential inclusion for convex optimization H Luo Optimization 72 (5), 1139-1170, 2023 | 11 | 2023 |
| A space-time finite element method for fractional wave problems B Li, H Luo, X Xie Numerical Algorithms 85, 1095-1121, 2020 | 11 | 2020 |
| A universal accelerated primal–dual method for convex optimization problems H Luo Journal of Optimization Theory and Applications 201 (1), 280-312, 2024 | 6 | 2024 |
| A continuous perspective on the inertial corrected primal-dual proximal splitting H Luo arXiv:2405.14098v1, 2024 | 4 | 2024 |
| An efficient semismooth Newton-AMG-based inexact primal-dual algorithm for generalized transport problems J Hu, H Luo, Z Zhang arXiv preprint arXiv:2207.14082, 2022 | 3 | 2022 |
| Accelerated primal-dual proximal gradient splitting methods for convex-concave saddle-point problems H Luo arXiv preprint arXiv:2407.20195, 2024 | 2 | 2024 |
| A fast solver for generalized optimal transport problems based on dynamical system and algebraic multigrid J Hu, H Luo, Z Zhang Journal of Scientific Computing 97 (1), 6, 2023 | 1 | 2023 |
| Error estimation of a discontinuous Galerkin method for time fractional subdiffusion problems with nonsmooth data B Li, H Luo, X Xie Fractional Calculus and Applied Analysis 25 (2), 747-782, 2022 | 1 | 2022 |
| First-Order Methods in Convex Optimization: From Discrete to Continuous and Vice-versa H Luo Technical Report, 2024 | | 2024 |
| Optimal Error Estimates of a Time-Spectral Method for Fractional Diffusion Problems with Low Regularity Data H Luo, X Xie Journal of Scientific Computing 91 (1), 14, 2022 | | 2022 |
Long ChenProfessor for Mathematics, University of California at IrvineVerified email at math.uci.edu