Yaoyu Zhang

Orcid: 0000-0001-9374-2502

According to our database1, Yaoyu Zhang authored at least 49 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Solving multiscale dynamical systems by deep learning.
CoRR, 2024

2023
Time series classification, augmentation and artificial-intelligence-enabled software for emergency response in freight transportation fires.
Expert Syst. Appl., December, 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

Structure and Gradient Dynamics Near Global Minima of Two-layer Neural Networks.
CoRR, 2023

Optimistic Estimate Uncovers the Potential of Nonlinear Models.
CoRR, 2023

Research on Product Sales Forecasting Based on Online Reviews and Data Mining.
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

Vehicle-to-Grid Coordination via Mean Field Game.
IEEE Control. Syst. Lett., 2022

Linear Stability Hypothesis and Rank Stratification for Nonlinear Models.
CoRR, 2022

Embedding Principle in Depth for the Loss Landscape Analysis of Deep Neural Networks.
CoRR, 2022

Limitation of characterizing implicit regularization by data-independent functions.
CoRR, 2022

Overview frequency principle/spectral bias in deep learning.
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

Towards Understanding the Condensation of Neural Networks at Initial Training.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width.
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

Learning to Caching Under the Partial-feedback Regime.
Proceedings of the 18th International Conference on Network and Service Management, 2022

Carbon Emission-Aware Storage Control via Mean Field Game Coordination.
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
Phase Diagram for Two-layer ReLU Neural Networks at Infinite-width Limit.
J. Mach. Learn. Res., 2021

Embedding Principle: a hierarchical structure of loss landscape of deep neural networks.
CoRR, 2021

Data-informed Deep Optimization.
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

An Upper Limit of Decaying Rate with Respect to Frequency in Deep Neural Network.
CoRR, 2021

Linear Frequency Principle Model to Understand the Absence of Overfitting in Neural Networks.
CoRR, 2021

Embedding Principle of Loss Landscape of Deep Neural Networks.
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
A deep learning-based ODE solver for chemical kinetics.
CoRR, 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

Research and Experiment of Repairable Space Telescope Interface System.
IEEE Access, 2020

A type of generalization error induced by initialization in deep neural networks.
Proceedings of Mathematical and Scientific Machine Learning, 2020

2019
Storage Control for Carbon Emission Reduction: Opportunities and Challenges.
CoRR, 2019

Theory of the Frequency Principle for General Deep Neural Networks.
CoRR, 2019

Explicitizing an Implicit Bias of the Frequency Principle in Two-layer Neural Networks.
CoRR, 2019

Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks.
CoRR, 2019

Training Behavior of Deep Neural Network in Frequency Domain.
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
An novel three-party authenticated key exchange protocol using one-time key.
J. Netw. Comput. Appl., 2013

2012
Vulnerability analysis of elliptic curve cryptography-based RFID authentication protocols.
Trans. Emerg. Telecommun. Technol., 2012


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