Yaoyu Zhang

发表

Reliability of the Granger causality inference

Douglas Zhou, Yaoyu Zhang, Yanyang Xiao, 2014 .

Granger Causality Network Reconstruction of Conductance-Based Integrate-and-Fire Neuronal Systems

Zhi-Qin John Xu, Douglas Zhou, Yaoyu Zhang, 2014, PloS one.

Granger causality analysis with nonuniform sampling and its application to pulse-coupled nonlinear dynamics.

Douglas Zhou, Yaoyu Zhang, Yanyang Xiao, 2016, Physical review. E.

Embedding Principle in Depth for the Loss Landscape Analysis of Deep Neural Networks

Yaoyu Zhang, Tao Luo, Z. Xu, 2022, ArXiv.

Embedding Principle in Depth for the Loss Landscape Analysis of Deep Neural Networks

Yaoyu Zhang, Tao Luo, Z. Xu, 2022, ArXiv.

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

Zhi-Qin John Xu, Yaoyu Zhang, Tao Luo, 2022, ArXiv.

An Upper Limit of Decaying Rate with Respect to Frequency in Linear Frequency Principle Model

Yaoyu Zhang, Tao Luo, Zhiwei Wang, 2021, MSML.

Towards Understanding the Condensation of Neural Networks at Initial Training

Yaoyu Zhang, Tao Luo, Z. Xu, 2021, 2105.11686.

MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs

Yaoyu Zhang, Tao Luo, Z. Xu, 2021, Communications in Computational Physics.

Overview frequency principle/spectral bias in deep learning

Yaoyu Zhang, Tao Luo, Z. Xu, 2022, ArXiv.

Data-informed deep optimization

Yaoyu Zhang, Z. Xu, Lulu Zhang, 2021, PloS one.

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

Zhi-Qin John Xu, Yaoyu Zhang, Tao Luo, 2022, NeurIPS.

Towards Understanding the Condensation of Neural Networks at Initial Training

Yaoyu Zhang, Tao Luo, Z. Xu, 2021, NeurIPS.

A multi-scale sampling method for accurate and robust deep neural network to predict combustion chemical kinetics

Zhi-Qin John Xu, E. Weinan, Yaoyu Zhang, 2022, Combustion and Flame.

DLODE: a deep learning-based ODE solver for chemistry kinetics

Yaoyu Zhang, Weinan E, Yiguang Ju, 2021, AIAA Scitech 2021 Forum.

An Upper Limit of Decaying Rate with Respect to Frequency in Linear Frequency Principle Model

Yaoyu Zhang, Tao Luo, Zhiwei Wang, 2022 .

Fourier-domain Variational Formulation and Its Well-posedness for Supervised Learning pdf

Tao Luo, Yaoyu Zhang, Zheng Ma, 2020, ArXiv.

Embedding Principle: a hierarchical structure of loss landscape of deep neural networks pdf

Yaoyu Zhang, Tao Luo, Zhongwang Zhang, 2021, Journal of Machine Learning.

Spike-Triggered Regression for Synaptic Connectivity Reconstruction in Neuronal Networks

David Cai, Douglas Zhou, Yaoyu Zhang, 2017, Front. Comput. Neurosci..

Theory of the Frequency Principle for General Deep Neural Networks pdf

Zheng Ma, Yaoyu Zhang, Zhi-Qin John Xu, 2019, CSIAM Transactions on Applied Mathematics.

Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks pdf

Zheng Ma, Tao Luo, Zhi-Qin John Xu, 2019, Communications in Computational Physics.

DNN-assisted statistical analysis of a model of local cortical circuits

Lai-Sang Young, Yaoyu Zhang, L. Young, 2020, Scientific Reports.

Training behavior of deep neural network in frequency domain pdf

Zhi-Qin John Xu, Yaoyu Zhang, Yanyang Xiao, 2018, ICONIP.

Causal and structural connectivity of pulse-coupled nonlinear networks.

David Cai, Douglas Zhou, Zhi-Qin John Xu, 2013, Physical review letters.

A deep learning-based model reduction (DeePMR) method for simplifying chemical kinetics

Zhi-Qin John Xu, E. Weinan, Y. Ju, 2022, ArXiv.

Embedding Principle of Loss Landscape of Deep Neural Networks pdf

Yaoyu Zhang, Tao Luo, Zhongwang Zhang, 2021, NeurIPS.

Linear Stability Hypothesis and Rank Stratification for Nonlinear Models

Yaoyu Zhang, Tao Luo, Z. Xu, 2022, ArXiv.

Limitation of characterizing implicit regularization by data-independent functions

Yaoyu Zhang, Tao Luo, Z. Xu, 2022, ArXiv.

Towards Understanding the Condensation of Two-layer Neural Networks at Initial Training pdf

Yaoyu Zhang, Tao Luo, Zhi-Qin John Xu, 2021, ArXiv.

A Linear Frequency Principle Model to Understand the Absence of Overfitting in Neural Networks

Zhi-Qin John Xu, Yaoyu Zhang, Tao Luo, 2021, Chinese Physics Letters.

Phase diagram for two-layer ReLU neural networks at infinite-width limit pdf

Yaoyu Zhang, Zhi-Qin John Xu, Tao Luo, 2020, J. Mach. Learn. Res..

A type of generalization error induced by initialization in deep neural networks pdf

Zheng Ma, Yaoyu Zhang, Zhi-Qin John Xu, 2019, MSML.

On the exact computation of linear frequency principle dynamics and its generalization pdf

Yaoyu Zhang, Zhi-Qin John Xu, Tao Luo, 2020, SIAM J. Math. Data Sci..

Explicitizing an Implicit Bias of the Frequency Principle in Two-layer Neural Networks pdf

Zheng Ma, Yaoyu Zhang, Zhi-Qin John Xu, 2019, ArXiv.

Analysis of sampling artifacts on the Granger causality analysis for topology extraction of neuronal dynamics

David Cai, Douglas Zhou, Yaoyu Zhang, 2014, Front. Comput. Neurosci..

An Upper Limit of Decaying Rate with Respect to Frequency in Deep Neural Network

Yaoyu Zhang, Tao Luo, Zhiwei Wang, 2021, ArXiv.

Deep mechanism reduction (DeePMR) method for fuel chemical kinetics

Yaoyu Zhang, Z. Xu, Weinan E, 2024, Combustion and Flame.

Solving multiscale dynamical systems by deep learning

Yaoyu Zhang, Z. Xu, Yuxiao Yi, 2024, ArXiv.

A deep learning-based ODE solver for chemical kinetics pdf

E Weinan, Yaoyu Zhang, Yiguang Ju, 2020, ArXiv.

Implicit bias with Ritz-Galerkin method in understanding deep learning for solving PDEs

Zhi-Qin John Xu, Yaoyu Zhang, Jihong Wang, 2020, ArXiv.

A priori generalization error for two-layer ReLU neural network through minimum norm solution

Zhi-Qin John Xu, Yaoyu Zhang, Jiwei Zhang, 2019, ArXiv.

Initialization is Critical to Whether Transformers Fit Composite Functions by Inference or Memorizing

Yaoyu Zhang, Z. Xu, Zhongwang Zhang, 2024, ArXiv.

Phase diagram for two-layer ReLU neural networks at infinite-width limit pdf

Yaoyu Zhang, Zhi-Qin John Xu, Tao Luo, 2020, J. Mach. Learn. Res..