Jinlan Liu
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
Bibliography
2026
Efficient iterative solvers for coupled quaternion Sylvester equations via hierarchical identification.
Comput. Appl. Math., October, 2026
SSR1M: A stochastic SR1 method with momentum acceleration for non-Convex optimization.
Neural Networks, 2026
A novel parameter-free filled function method for global optimization and solving nonlinear equation systems.
J. Frankl. Inst., 2026
An efficient low-complexity stochastic BFGS algorithm using matrix diagonal approximations for nonconvex optimization in machine learning.
J. Comput. Appl. Math., 2026
J. Comput. Appl. Math., 2026
2025
Appl. Intell., May, 2025
Convergence of Adam for non-convex objectives: relaxed hyperparameters and non-ergodic case.
Mach. Learn., March, 2025
On the Convergence of Decentralized Stochastic Gradient Descent With Biased Gradients.
IEEE Trans. Signal Process., 2025
AdaVAM: Adaptive variance-aware momentum for accelerating deep neural network training.
Knowl. Based Syst., 2025
Sharpness-Aware Minimization method with momentum acceleration for deep neural networks.
Knowl. Based Syst., 2025
Knowl. Based Syst., 2025
Iterative methods for the generalized Sylvester quaternion matrix equations using the ADMM approach.
J. Frankl. Inst., 2025
2024
IEEE Trans. Signal Process., 2024
IEEE Signal Process. Lett., 2024
Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization.
Neural Networks, 2024
Neural Comput., 2024
ColorMesh: Surface and texture reconstruction of large-scale scenes from unstructured colorful point clouds with adaptive automatic viewpoint selection.
Int. J. Appl. Earth Obs. Geoinformation, 2024
2023
Neural Networks, August, 2023
Last-iterate convergence analysis of stochastic momentum methods for neural networks.
Neurocomputing, March, 2023
UAdam: Unified Adam-Type Algorithmic Framework for Non-Convex Stochastic Optimization.
CoRR, 2023
2022
Convergence analysis of AdaBound with relaxed bound functions for non-convex optimization.
Neural Networks, 2022
SGD-rα: A real-time α-suffix averaging method for SGD with biased gradient estimates.
Neurocomputing, 2022
2021
Scaling transition from momentum stochastic gradient descent to plain stochastic gradient descent.
CoRR, 2021
Decreasing scaling transition from adaptive gradient descent to stochastic gradient descent.
CoRR, 2021
2020
Split-Bregman Algorithm with Attenuation Correction for L-Shell Polychromatic X-ray Fluorescence Computed Tomography.
J. Medical Imaging Health Informatics, 2020
2009
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009
Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009
2007
Proceedings of the Third International Conference on Natural Computation, 2007
A Hybrid Immune Genetic Algorithm Approach to Optimize the Integrated Forward/Reverse Logistics Network for 3PLs.
Proceedings of the Third International Conference on Natural Computation, 2007
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007
2006
Proceedings of the 2006 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2006), International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC 2006), 29 November, 2006