Zhi-Qin John Xu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 54

Top Topics

Matrix Completion

Inverse Problems

Top Venues

IET Image Process.

Publications

Hanxu Zhou, Yuan Zhang, Guangjie Leng, Ruofan Wang, Zhi-Qin John Xu
Understanding Time Series Anomaly State Detection through One-Class Classification. CoRR (2024)
Zhongwang Zhang, Zhiwei Wang, Junjie Yao, Zhangchen Zhou, Xiaolong Li, Weinan E, Zhi-Qin John Xu
Anchor function: a type of benchmark functions for studying language models. CoRR (2024)
Zhi-Qin John Xu, Junjie Yao, Yuxiao Yi, Liangkai Hang, Weinan E, Yaoyu Zhang, Tianhan Zhang
Solving multiscale dynamical systems by deep learning. CoRR (2024)
Zhongwang Zhang, Zhi-Qin John Xu
Loss Spike in Training Neural Networks. CoRR (2023)
Xi-An Li, Jinran Wu, Zhi-Qin John Xu, You-Gan Wang
Solving a class of multi-scale elliptic PDEs by means of Fourier-based mixed physics informed neural networks. CoRR (2023)
Zhongwang Zhang, Yuqing Li, Tao Luo, Zhi-Qin John Xu
Stochastic Modified Equations and Dynamics of Dropout Algorithm. CoRR (2023)
Runze Mao, Minqi Lin, Yan Zhang, Tianhan Zhang, Zhi-Qin John Xu, Zhi X. Chen
: A deep learning empowered open-source platform for reacting flow simulations. Comput. Phys. Commun. 291 (2023)
Zhangchen Zhou, Hanxu Zhou, Yuqing Li, Zhi-Qin John Xu
Understanding the Initial Condensation of Convolutional Neural Networks. CoRR (2023)
Xiong-bin Yan, Keke Wu, Zhi-Qin John Xu, Zheng Ma
An Unsupervised Deep Learning Approach for the Wave Equation Inverse Problem. CoRR (2023)
Zhengan Chen, Yuqing Li, Tao Luo, Zhangchen Zhou, Zhi-Qin John Xu
Phase Diagram of Initial Condensation for Two-layer Neural Networks. CoRR (2023)
Xi-An Li, Zhi-Qin John Xu, Lei Zhang
Subspace decomposition based DNN algorithm for elliptic type multi-scale PDEs. J. Comput. Phys. 488 (2023)
Xiong-bin Yan, Zhi-Qin John Xu, Zheng Ma
Laplace-fPINNs: Laplace-based fractional physics-informed neural networks for solving forward and inverse problems of subdiffusion. CoRR (2023)
Yaoyu Zhang, Zhongwang Zhang, Leyang Zhang, Zhiwei Bai, Tao Luo, Zhi-Qin John Xu
Optimistic Estimate Uncovers the Potential of Nonlinear Models. CoRR (2023)
Yaoyu Zhang, Zhongwang Zhang, Leyang Zhang, Zhiwei Bai, Tao Luo, Zhi-Qin John Xu
Linear Stability Hypothesis and Rank Stratification for Nonlinear Models. CoRR (2022)
Xiong-bin Yan, Zhi-Qin John Xu, Zheng Ma
Bayesian Inversion with Neural Operator (BINO) for Modeling Subdiffusion: Forward and Inverse Problems. CoRR (2022)
Zhiwei Wang, Yaoyu Zhang, Yiguang Ju, Weinan E, Zhi-Qin John Xu, Tianhan Zhang
A deep learning-based model reduction (DeePMR) method for simplifying chemical kinetics. CoRR (2022)
Tianhan Zhang, Yuxiao Yi, Yifan Xu, Zhi X. Chen, Yaoyu Zhang, Weinan E, Zhi-Qin John Xu
A multi-scale sampling method for accurate and robust deep neural network to predict combustion chemical kinetics. CoRR (2022)
Hanxu Zhou, Qixuan Zhou, Zhenyuan Jin, Tao Luo, Yaoyu Zhang, Zhi-Qin John Xu
Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width. CoRR (2022)
Shuyu Yin, Tao Luo, Peilin Liu, Zhi-Qin John Xu
An Experimental Comparison Between Temporal Difference and Residual Gradient with Neural Network Approximation. CoRR (2022)
Leyang Zhang, Zhi-Qin John Xu, Tao Luo, Yaoyu Zhang
Limitation of characterizing implicit regularization by data-independent functions. CoRR (2022)
Tao Luo, Zheng Ma, Zhi-Qin John Xu, Yaoyu Zhang
On the Exact Computation of Linear Frequency Principle Dynamics and Its Generalization. SIAM J. Math. Data Sci. 4 (4) (2022)
Zhongwang Zhang, Zhi-Qin John Xu
Implicit regularization of dropout. CoRR (2022)
Zhi-Qin John Xu, Yaoyu Zhang, Tao Luo
Overview frequency principle/spectral bias in deep learning. CoRR (2022)
Zhiwei Bai, Tao Luo, Zhi-Qin John Xu, Yaoyu Zhang
Embedding Principle in Depth for the Loss Landscape Analysis of Deep Neural Networks. CoRR (2022)
Zhemin Li, Zhi-Qin John Xu, Tao Luo, Hongxia Wang
A regularised deep matrix factorised model of matrix completion for image restoration. IET Image Process. 16 (12) (2022)
Yaoyu Zhang, Yuqing Li, Zhongwang Zhang, Tao Luo, Zhi-Qin John Xu
Embedding Principle: a hierarchical structure of loss landscape of deep neural networks. CoRR (2021)
Tao Luo, Zhi-Qin John Xu, Zheng Ma, Yaoyu Zhang
Phase Diagram for Two-layer ReLU Neural Networks at Infinite-width Limit. J. Mach. Learn. Res. 22 (2021)
Yaoyu Zhang, Zhongwang Zhang, Tao Luo, Zhi-Qin John Xu
Embedding Principle of Loss Landscape of Deep Neural Networks. CoRR (2021)
Lulu Zhang, Zhi-Qin John Xu, Yaoyu Zhang
Data-informed Deep Optimization. CoRR (2021)
Tao Luo, Zheng Ma, Zhiwei Wang, Zhi-Qin John Xu, Yaoyu Zhang
An Upper Limit of Decaying Rate with Respect to Frequency in Deep Neural Network. CoRR (2021)
Zhongwang Zhang, Hanxu Zhou, Zhi-Qin John Xu
A variance principle explains why dropout finds flatter minima. CoRR (2021)
Yuheng Ma, Zhi-Qin John Xu, Jiwei Zhang
Frequency Principle in Deep Learning Beyond Gradient-descent-based Training. CoRR (2021)
Lulu Zhang, Tao Luo, Yaoyu Zhang, Zhi-Qin John Xu, Zheng Ma
MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs. CoRR (2021)
Zhi-Qin John Xu, Hanxu Zhou, Tao Luo, Yaoyu Zhang
Towards Understanding the Condensation of Two-layer Neural Networks at Initial Training. CoRR (2021)
Guangjie Leng, Yekun Zhu, Zhi-Qin John Xu
Force-in-domain GAN inversion. CoRR (2021)
Xi-An Li, Zhi-Qin John Xu, Lei Zhang
Subspace Decomposition based DNN algorithm for elliptic type multi-scale PDEs. CoRR (2021)
Yaoyu Zhang, Tao Luo, Zheng Ma, Zhi-Qin John Xu
Linear Frequency Principle Model to Understand the Absence of Overfitting in Neural Networks. CoRR (2021)
Tao Luo, Zheng Ma, Zhiwei Wang, Zhi-Qin John Xu, Yaoyu Zhang
Fourier-domain Variational Formulation and Its Well-posedness for Supervised Learning. CoRR (2020)
Tao Luo, Zhi-Qin John Xu, Zheng Ma, Yaoyu Zhang
Phase diagram for two-layer ReLU neural networks at infinite-width limit. CoRR (2020)
Zhemin Li, Zhi-Qin John Xu, Tao Luo, Hongxia Wang
A regularized deep matrix factorized model of matrix completion for image restoration. CoRR (2020)
Zhi-Qin John Xu, Hanxu Zhou
Deep frequency principle towards understanding why deeper learning is faster. CoRR (2020)
Yaoyu Zhang, Zhi-Qin John Xu, Tao Luo, Zheng Ma
A type of generalization error induced by initialization in deep neural networks. MSML (2020)
Ziqi Liu, Wei Cai, Zhi-Qin John Xu
Multi-scale Deep Neural Network (MscaleDNN) for Solving Poisson-Boltzmann Equation in Complex Domains. CoRR (2020)
Tao Luo, Zheng Ma, Zhi-Qin John Xu, Yaoyu Zhang
On the exact computation of linear frequency principle dynamics and its generalization. CoRR (2020)
Jihong Wang, Zhi-Qin John Xu, Jiwei Zhang, Yaoyu Zhang
Implicit bias with Ritz-Galerkin method in understanding deep learning for solving PDEs. CoRR (2020)
Wei Cai, Zhi-Qin John Xu
Multi-scale Deep Neural Networks for Solving High Dimensional PDEs. CoRR (2019)
Yaoyu Zhang, Zhi-Qin John Xu, Tao Luo, Zheng Ma
A type of generalization error induced by initialization in deep neural networks. CoRR (2019)
Zhi-Qin John Xu, Yaoyu Zhang, Tao Luo, Yanyang Xiao, Zheng Ma
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks. CoRR (2019)
Yaoyu Zhang, Zhi-Qin John Xu, Tao Luo, Zheng Ma
Explicitizing an Implicit Bias of the Frequency Principle in Two-layer Neural Networks. CoRR (2019)
Zhi-Qin John Xu, Douglas Zhou, David Cai
Dynamical and Coupling Structure of Pulse-Coupled Networks in Maximum Entropy Analysis. Entropy 21 (1) (2019)
Tao Luo, Zheng Ma, Zhi-Qin John Xu, Yaoyu Zhang
Theory of the Frequency Principle for General Deep Neural Networks. CoRR (2019)
Zhi-Qin John Xu, Yaoyu Zhang, Yanyang Xiao
Training Behavior of Deep Neural Network in Frequency Domain. ICONIP (1) (2019)
Zhi-Qin John Xu
Frequency Principle in Deep Learning with General Loss Functions and Its Potential Application. CoRR (2018)
Zhi-Qin John Xu, Jennifer Crodelle, Douglas Zhou, David Cai
Maximum Entropy Principle Analysis in Network Systems with Short-time Recordings. CoRR (2018)