Julia language in machine learning: Algorithms, applications, and open issues K Gao, G Mei, F Piccialli, S Cuomo, J Tu, Z Huo Computer Science Review 37, 100254, 2020 | 80 | 2020 |
Designing an efficient parallel spectral clustering algorithm on multi-core processors in Julia Z Huo, G Mei, G Casolla, F Giampaolo Journal of Parallel and Distributed Computing 138, 211-221, 2020 | 25 | 2020 |
juSFEM: A Julia-based open-source package of parallel Smoothed Finite Element Method (S-FEM) for elastic problems Z Huo, G Mei, N Xu Computers & Mathematics with Applications 81, 459-477, 2021 | 15 | 2021 |
epSFEM: A Julia-Based Software Package of Parallel Incremental Smoothed Finite Element Method (S-FEM) for Elastic-Plastic Problems M Zhou, J Qin, Z Huo, F Giampaolo, G Mei Mathematics 10 (12), 2024, 2022 | 3 | 2022 |
Multi-GPU Material Point Method Solver for Landslide Simulation Z Huo, M Jaboyedoff, Y Podladchikov, L Räss, E Wyser EGU24, 2024 | | 2024 |
High-performance Computing in modeling of Landslide Post-failure Stage using Material Point Method Z Huo, Y Alkhimenkov, F Calvo, MH Derron, M Jaboyedoff, ... EGU General Assembly Conference Abstracts, EGU-13391, 2023 | | 2023 |
High-performance Material Point Method for Landslide Simulation in Julia Z Huo, M Jaboyedoff, MH Derron, E Wyser, G Mei EGU General Assembly Conference Abstracts, EGU22-10247, 2022 | | 2022 |