Yaoyu Zhang
Orcid: 0000-0003-2540-5314
According to our database1,
Yaoyu Zhang
authored at least 57 papers
between 2012 and 2024.
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Bibliography
2024
IEEE Trans. Netw. Sci. Eng., 2024
CoRR, 2024
Geometry of Critical Sets and Existence of Saddle Branches for Two-layer Neural Networks.
CoRR, 2024
CoRR, 2024
Towards Understanding How Transformer Perform Multi-step Reasoning with Matching Operation.
CoRR, 2024
Disentangle Sample Size and Initialization Effect on Perfect Generalization for Single-Neuron Target.
CoRR, 2024
Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion.
CoRR, 2024
Initialization is Critical to Whether Transformers Fit Composite Functions by Inference or Memorizing.
CoRR, 2024
2023
Time series classification, augmentation and artificial-intelligence-enabled software for emergency response in freight transportation fires.
Expert Syst. Appl., December, 2023
Trans. Mach. Learn. Res., 2023
The analysis of the structural parameter influences on measurement errors in a binocular 3D reconstruction system: a portable 3D system.
PeerJ Comput. Sci., 2023
The optimal dynamic regret for smoothed online convex optimization with squared l2 norm switching costs.
J. Frankl. Inst., 2023
CoRR, 2023
Proceedings of the 2023 9th International Conference on Industrial and Business Engineering, 2023
Effective Risk-limiting Carbon Emission Aware Economic Dispatch: An Algorithmic Perspective.
Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023
2022
The Automatic Generation of Smart Contract Based on Configuration in the Field of Government Services.
IEICE Trans. Inf. Syst., December, 2022
On the Exact Computation of Linear Frequency Principle Dynamics and Its Generalization.
SIAM J. Math. Data Sci., 2022
Embedding Principle in Depth for the Loss Landscape Analysis of Deep Neural Networks.
CoRR, 2022
A multi-scale sampling method for accurate and robust deep neural network to predict combustion chemical kinetics.
CoRR, 2022
A deep learning-based model reduction (DeePMR) method for simplifying chemical kinetics.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
An Upper Limit of Decaying Rate with Respect to Frequency in Linear Frequency Principle Model.
Proceedings of the Mathematical and Scientific Machine Learning, 2022
Study of functional and metabolic changes in subregions of precuneus in mild cognitive impairment patients using hybrid FDG-PET/fMRI.
Proceedings of the 9th International Conference on Biomedical and Bioinformatics Engineering, 2022
Proceedings of the 18th International Conference on Network and Service Management, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Optimal Dynamic Regret for Online Convex Optimization with Squared l2 Norm Switching Cost.
Proceedings of the American Control Conference, 2022
2021
J. Mach. Learn. Res., 2021
Embedding Principle: a hierarchical structure of loss landscape of deep neural networks.
CoRR, 2021
MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs.
CoRR, 2021
Towards Understanding the Condensation of Two-layer Neural Networks at Initial Training.
CoRR, 2021
CoRR, 2021
Linear Frequency Principle Model to Understand the Absence of Overfitting in Neural Networks.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Brain Intrinsic Functional Activity in Relation to Metabolic Changes in Alzheimer's Disease: A Simultaneous PET/fMRI study.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Distinct Functional and Metabolic Alterations of DMN Subsystems in Alzheimer's Disease: A Simultaneous FDG-PET/fMRI Study.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Fourier-domain Variational Formulation and Its Well-posedness for Supervised Learning.
CoRR, 2020
Implicit bias with Ritz-Galerkin method in understanding deep learning for solving PDEs.
CoRR, 2020
IEEE Access, 2020
Proceedings of Mathematical and Scientific Machine Learning, 2020
2019
CoRR, 2019
Explicitizing an Implicit Bias of the Frequency Principle in Two-layer Neural Networks.
CoRR, 2019
CoRR, 2019
Proceedings of the Neural Information Processing - 26th International Conference, 2019
2017
Spike-Triggered Regression for Synaptic Connectivity Reconstruction in Neuronal Networks.
Frontiers Comput. Neurosci., 2017
2016
Direct detection of optogenetically evoked oscillatory neuronal electrical activity in rats using SLOE sequence.
NeuroImage, 2016
2014
Analysis of sampling artifacts on the Granger causality analysis for topology extraction of neuronal dynamics.
Frontiers Comput. Neurosci., 2014
2013
J. Netw. Comput. Appl., 2013
2012
Vulnerability analysis of elliptic curve cryptography-based RFID authentication protocols.
Trans. Emerg. Telecommun. Technol., 2012