A computationally efficient implementation of a full and reduced-order electrochemistry-based model for Li-ion batteries L Xia, E Najafi, Z Li, HJ Bergveld, MCF Donkers Applied Energy 208, 1285-1296, 2017 | 54 | 2017 |
Robust constrained optimization for RCCI engines using nested penalized particle swarm L Xia, B de Jager, T Donkers, F Willems Control Engineering Practice 99, 104411, 2020 | 17 | 2020 |
A computationally efficient implementation of an electrochemistry-based model for Lithium-ion batteries L Xia, E Najafi, HJ Bergveld, MCF Donkers IFAC-PapersOnLine 50 (1), 2169-2174, 2017 | 16 | 2017 |
Constrained optimization of fuel efficiency for RCCI engines L Xia, R Willems, B de Jager, F Willems IFAC-PapersOnLine 52 (5), 648-653, 2019 | 9 | 2019 |
A simple and efficient stochastic rounding method for training neural networks in low precision L Xia, M Anthonissen, M Hochstenbach, B Koren arXiv preprint arXiv:2103.13445, 2021 | 8 | 2021 |
AdamL: A fast adaptive gradient method incorporating loss function L Xia, S Massei arXiv preprint arXiv:2312.15295, 2023 | 4 | 2023 |
Improved stochastic rounding L Xia, M Anthonissen, M Hochstenbach, B Koren arXiv preprint arXiv:2006.00489, 2020 | 3 | 2020 |
On the influence of stochastic roundoff errors and their bias on the convergence of the gradient descent method with low-precision floating-point computation L Xia, S Massei, M Hochstenbach, B Koren arXiv preprint arXiv:2202.12276, 2022 | 2* | 2022 |
On the convergence of the gradient descent method with stochastic fixed-point rounding errors under the Polyak-Lojasiewicz inequality L Xia, ME Hochstenbach, S Massei arXiv preprint arXiv:2301.09511, 2023 | 1 | 2023 |
Enhancing Optimization Efficiency in Training Neural Networks with Rounding Bias and Adaptive Methods L Xia | | 2024 |
On Stochastic Roundoff Errors in Gradient Descent with Low-Precision Computation L Xia, S Massei, ME Hochstenbach, B Koren Journal of Optimization Theory and Applications 200 (2), 634-668, 2024 | | 2024 |