Yanbu Guo

Orcid: 0000-0001-9532-2309

According to our database1, Yanbu Guo authored at least 24 papers between 2017 and 2024.

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Bibliography

2024
Context-Aware Poly(A) Signal Prediction Model via Deep Spatial-Temporal Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

EPIC: An epidemiological investigation of COVID-19 dataset for Chinese named entity recognition.
Inf. Process. Manag., January, 2024

2023
Variational gated autoencoder-based feature extraction model for inferring disease-miRNA associations based on multiview features.
Neural Networks, August, 2023

Learning spatiotemporal embedding with gated convolutional recurrent networks for translation initiation site prediction.
Pattern Recognit., April, 2023

LightingNet: An Integrated Learning Method for Low-Light Image Enhancement.
IEEE Trans. Computational Imaging, 2023

2022
Rethinking Low-Light Enhancement via Transformer-GAN.
IEEE Signal Process. Lett., 2022

Context-aware dynamic neural computational models for accurate Poly(A) signal prediction.
Neural Networks, 2022

Gated residual neural networks with self-normalization for translation initiation site recognition.
Knowl. Based Syst., 2022

Deep Effective <i>k</i>-mer representation learning for polyadenylation signal prediction via co-occurrence embedding.
Knowl. Based Syst., 2022

Deep multi-scale Gaussian residual networks for contextual-aware translation initiation site recognition.
Expert Syst. Appl., 2022

TSE_Fuse: Two stage enhancement method using attention mechanism and feature-linking model for infrared and visible image fusion.
Digit. Signal Process., 2022

2021
UFA-FUSE: A Novel Deep Supervised and Hybrid Model for Multifocus Image Fusion.
IEEE Trans. Instrum. Meas., 2021

Multimodal medical image fusion based on the spectral total variation and local structural patch measurement.
Int. J. Imaging Syst. Technol., 2021

Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation.
CoRR, 2021

UFA-FUSE: A novel deep supervised and hybrid model for multi-focus image fusion.
CoRR, 2021

Identifying polyadenylation signals with biological embedding via self-attentive gated convolutional highway networks.
Appl. Soft Comput., 2021

2020
VIF-Net: An Unsupervised Framework for Infrared and Visible Image Fusion.
IEEE Trans. Computational Imaging, 2020

Attentive gated neural networks for identifying chromatin accessibility.
Neural Comput. Appl., 2020

DeepANF: A deep attentive neural framework with distributed representation for chromatin accessibility prediction.
Neurocomputing, 2020

Robust spiking cortical model and total-variational decomposition for multimodal medical image fusion.
Biomed. Signal Process. Control., 2020

2019
基于贝叶斯网的短文本特征扩展方法 (Short Text Feature Extension Method Based on Bayesian Networks).
计算机科学, 2019

DeepACLSTM: deep asymmetric convolutional long short-term memory neural models for protein secondary structure prediction.
BMC Bioinform., 2019

2018
Protein secondary structure prediction improved by recurrent neural networks integrated with two-dimensional convolutional neural networks.
J. Bioinform. Comput. Biol., 2018

2017
A novel method of text representation on hybrid neural networks.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017


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