Search Results for author: Kaiyuan Liu

Found 4 papers, 2 papers with code

PepNet: A Fully Convolutional Neural Network for De novo Peptide Sequencing

1 code implementation ResearchSquare 2022 Kaiyuan Liu, Yuzhen Ye, Haixu Tang

The de novo peptide sequencing, which does not rely on a comprehensive target sequence database, provided us a way to identify novel peptides from tandem mass (MS/MS) spectra.

de novo peptide sequencing

Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial Attacks

no code implementations21 Nov 2021 Kaiyuan Liu, Xingyu Li, Yurui Lai, Ge Zhang, Hang Su, Jiachen Wang, Chunxu Guo, Jisong Guan, Yi Zhou

Despite its great success, deep learning severely suffers from robustness; that is, deep neural networks are very vulnerable to adversarial attacks, even the simplest ones.

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