Yanbu Guo

Orcid: 0000-0001-9532-2309

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

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of three.

Timeline

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Bibliography

2024

Context-Aware Poly(A) Signal Prediction Model via Deep Spatial-Temporal Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., June, 2024

EPIC: An epidemiological investigation of COVID-19 dataset for Chinese named entity recognition.

[BibT_eX]

[DOI]

Inf. Process. Manag., January, 2024

2023

Variational gated autoencoder-based feature extraction model for inferring disease-miRNA associations based on multiview features.

[BibT_eX]

[DOI]

Neural Networks, August, 2023

Learning spatiotemporal embedding with gated convolutional recurrent networks for translation initiation site prediction.

[BibT_eX]

[DOI]

Pattern Recognit., April, 2023

LightingNet: An Integrated Learning Method for Low-Light Image Enhancement.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2023

2022

Rethinking Low-Light Enhancement via Transformer-GAN.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2022

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

[BibT_eX]

[DOI]

Neural Networks, 2022

Gated residual neural networks with self-normalization for translation initiation site recognition.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Deep multi-scale Gaussian residual networks for contextual-aware translation initiation site recognition.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

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

[BibT_eX]

[DOI]

Digit. Signal Process., 2022

2021

UFA-FUSE: A Novel Deep Supervised and Hybrid Model for Multifocus Image Fusion.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2021

Multimodal medical image fusion based on the spectral total variation and local structural patch measurement.

[BibT_eX]

[DOI]

Int. J. Imaging Syst. Technol., 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Identifying polyadenylation signals with biological embedding via self-attentive gated convolutional highway networks.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

2020

VIF-Net: An Unsupervised Framework for Infrared and Visible Image Fusion.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2020

Attentive gated neural networks for identifying chromatin accessibility.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2020

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

[BibT_eX]

[DOI]

Neurocomputing, 2020

Robust spiking cortical model and total-variational decomposition for multimodal medical image fusion.

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

计算机科学, 2019

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

[BibT_eX]

[DOI]

BMC Bioinform., 2019

2018

Protein secondary structure prediction improved by recurrent neural networks integrated with two-dimensional convolutional neural networks.

[BibT_eX]

[DOI]

J. Bioinform. Comput. Biol., 2018

2017

A novel method of text representation on hybrid neural networks.

[BibT_eX]

[DOI]

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

Yanbu Guo

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