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Lu Xia
Lu Xia
Eindhoven University of Technology
Подтвержден адрес электронной почты в домене tue.nl
Название
Процитировано
Процитировано
Год
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
452017
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
142020
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
142017
Constrained optimization of fuel efficiency for RCCI engines
L Xia, R Willems, B de Jager, F Willems
IFAC-PapersOnLine 52 (5), 648-653, 2019
102019
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
82021
Improved stochastic rounding
L Xia, M Anthonissen, M Hochstenbach, B Koren
arXiv preprint arXiv:2006.00489, 2020
32020
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
AdamL: A fast adaptive gradient method incorporating loss function
L Xia, S Massei
arXiv preprint arXiv:2312.15295, 2023
12023
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
12023
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
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