55 citations · 79 across the 27 of their papers we have counts for
27 papers
Smallest Singular Value Estimates for Nonuniform Fourier Matrices via Periodic Nonuniform Sampling
Liang Chen, Rongrong Lin, Haizhang Zhang
We study the smallest singular value of nonuniform Fourier matrices in two settings: clustered nodes and perturbations of an equispaced grid. By reducing the problem to spectral no…
Reliable Neural Collapse Approximation for Open-World Test-Time Adaptation
Jia-Qi Lin, Yuangang Pan, Chang-Dong Wang +3
Test-Time Adaptation (TTA) methods aim to bridge the domain gap between the source and target domains. However, traditional TTA methods become ineffective when the label distributi…
A Random Integration Algorithm for High-dimensional Function Spaces
Liang Chen, Minqiang Xu, Haizhang Zhang
We introduce a novel random integration algorithm that boasts both high convergence order and polynomial tractability for functions characterized by sparse frequencies or rapidly d…
Uniform Convergence of Deep Neural Networks with Lipschitz Continuous Activation Functions and Variable Widths
Yuesheng Xu, Haizhang Zhang
We consider deep neural networks with a Lipschitz continuous activation function and with weight matrices of variable widths. We establish a uniform convergence analysis framework…
Dual Information Enhanced Multi-view Attributed Graph Clustering
Jia-Qi Lin, Man-Sheng Chen, Xi-Ran Zhu +2
Multi-view attributed graph clustering is an important approach to partition multi-view data based on the attribute feature and adjacent matrices from different views. Some attempt…
Convergence Analysis of Deep Residual Networks
Wentao Huang, Haizhang Zhang
Various powerful deep neural network architectures have made great contribution to the exciting successes of deep learning in the past two decades. Among them, deep Residual Networ…