L
Leiyang Chen
Researcher at Wuhan University
Publications - 3
Citations - 50
Leiyang Chen is an academic researcher from Wuhan University. The author has contributed to research in topics: Computer science & Feature (computer vision). The author has co-authored 2 publications.
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Imbalanced data classification: A KNN and generative adversarial networks-based hybrid approach for intrusion detection
TL;DR: Wang et al. as discussed by the authors proposed a tabular data sampling method to solve the imbalanced learning problem, which aims to balance the normal samples and attack samples, and the proposed method achieves competitive results on three benchmark data sets.
Journal ArticleDOI
MRU-NET: A U-Shaped Network for Retinal Vessel Segmentation
TL;DR: An improved U-shaped neural network (MRU-NET) segmentation method for retinal vessels that has better accuracy and sensitivity on the DRIVE and STARE datasets than some of the state-of-the-art methods.
Journal ArticleDOI
DCU-Net: a dual-channel U-shaped network for image splicing forgery detection.
Hongwei Ding,Hongwei Ding,Leiyang Chen,Qi Tao,Zhongwang Fu,Liang Dong,Xiaohui Cui,Xiaohui Cui +7 more
TL;DR: Zhang et al. as mentioned in this paper proposed a new image tamper location method based on dual-channel U-Net, which is mainly divided into three parts: encoder, feature fusion, and decoder.