no code implementations • 25 Mar 2024 • Yunfei Yang, Han Feng, Ding-Xuan Zhou
Our second result gives new analysis on the covering number of feed-forward neural networks with CNNs as special cases.
1 code implementation • 7 Jun 2023 • Jianfei Li, Ruigang Zheng, Han Feng, Ming Li, Xiaosheng Zhuang
The nature of heterophilous graphs is significantly different from that of homophilous graphs, which causes difficulties in early graph neural network models and suggests aggregations beyond the 1-hop neighborhood.
no code implementations • 31 May 2023 • Junyu Zhou, Shuo Huang, Han Feng, Ding-Xuan Zhou
Pairwise learning refers to learning tasks where a loss takes a pair of samples into consideration.
1 code implementation • 19 Oct 2022 • Jianfei Li, Han Feng, Ding-Xuan Zhou
Deep neural networks (DNNs) have garnered significant attention in various fields of science and technology in recent years.
no code implementations • 14 Oct 2022 • Jianfei Li, Han Feng, Ding-Xuan Zhou
In this paper we establish some analysis for linear feature extraction by a deep multi-channel convolutional neural networks (CNNs), which demonstrates the power of deep learning over traditional linear transformations, like Fourier, wavelets, redundant dictionary coding methods.
no code implementations • 4 Oct 2022 • Han Feng, Baturalp Yalcin, Javad Lavaei
We study the identification of a linear time-invariant dynamical system affected by large-and-sparse disturbances modeling adversarial attacks or faults.
no code implementations • 29 Sep 2022 • Jianfei Li, Chaoyan Huang, Raymond Chan, Han Feng, Micheal Ng, Tieyong Zeng
Spherical image processing has been widely applied in many important fields, such as omnidirectional vision for autonomous cars, global climate modelling, and medical imaging.
no code implementations • 17 Jan 2022 • Jianfei Li, Han Feng, Xiaosheng Zhuang
In this paper, we develop a general theoretical framework for constructing Haar-type tight framelets on any compact set with a hierarchical partition.
no code implementations • 5 Dec 2021 • Han Feng, Shao-Bo Lin, Ding-Xuan Zhou
This paper proposes a distributed weighted regularized least squares algorithm (DWRLS) based on spherical radial basis functions and spherical quadrature rules to tackle spherical data that are stored across numerous local servers and cannot be shared with each other.
no code implementations • 8 Nov 2021 • Ruijiang Gao, Han Feng
We study the problem of best arm identification with a fairness constraint in a given causal model.
no code implementations • 28 Jul 2020 • Zhiying Fang, Han Feng, Shuo Huang, Ding-Xuan Zhou
Deep learning based on deep neural networks of various structures and architectures has been powerful in many practical applications, but it lacks enough theoretical verifications.