Yanbu Guo

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 24

Top Topics

Top Venues

Knowl. Based Syst.

IEEE Trans. Computational Imaging

Neural Networks

Publications

Yanbu Guo, Dongming Zhou, Pu Li, Chaoyang Li, Jinde Cao
Context-Aware Poly(A) Signal Prediction Model via Deep Spatial-Temporal Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Pu Li, Guohao Zhou, Yanbu Guo, Suzhi Zhang, Yuncheng Jiang, Yong Tang
EPIC: An epidemiological investigation of COVID-19 dataset for Chinese named entity recognition. Inf. Process. Manag. 61 (1) (2024)
Yanbu Guo, Dongming Zhou, Xiaoli Ruan, Jinde Cao
Variational gated autoencoder-based feature extraction model for inferring disease-miRNA associations based on multiview features. Neural Networks 165 (2023)
Weihua Li, Yanbu Guo, Bingyi Wang, Bei Yang
Learning spatiotemporal embedding with gated convolutional recurrent networks for translation initiation site prediction. Pattern Recognit. 136 (2023)
Shaoliang Yang, Dongming Zhou, Jinde Cao, Yanbu Guo
LightingNet: An Integrated Learning Method for Low-Light Image Enhancement. IEEE Trans. Computational Imaging 9 (2023)
Yanbu Guo, Dongming Zhou, Weihua Li, Jinde Cao
Deep multi-scale Gaussian residual networks for contextual-aware translation initiation site recognition. Expert Syst. Appl. 207 (2022)
Yanbu Guo, Hongxue Shen, Weihua Li, Chaoyang Li, Chen Jin
-mer representation learning for polyadenylation signal prediction via co-occurrence embedding. Knowl. Based Syst. 256 (2022)
Yanbu Guo, Dongming Zhou, Jinde Cao, Rencan Nie, Xiaoli Ruan, Yanyu Liu
Gated residual neural networks with self-normalization for translation initiation site recognition. Knowl. Based Syst. 237 (2022)
Shaoliang Yang, Dongming Zhou, Jinde Cao, Yanbu Guo
Rethinking Low-Light Enhancement via Transformer-GAN. IEEE Signal Process. Lett. 29 (2022)
Yanbu Guo, Chaoyang Li, Dongming Zhou, Jinde Cao, Hui Liang
Context-aware dynamic neural computational models for accurate Poly(A) signal prediction. Neural Networks 152 (2022)
Yanyu Liu, Dongming Zhou, Rencan Nie, Zhaisheng Ding, Yanbu Guo, Xiaoli Ruan, Weidai Xia, Ruichao Hou
TSE_Fuse: Two stage enhancement method using attention mechanism and feature-linking model for infrared and visible image fusion. Digit. Signal Process. 123 (2022)
Yanbu Guo, Dongming Zhou, Weihua Li, Jinde Cao, Rencan Nie, Lei Xiong, Xiaoli Ruan
Identifying polyadenylation signals with biological embedding via self-attentive gated convolutional highway networks. Appl. Soft Comput. 103 (2021)
Yongsheng Zang, Dongming Zhou, Changcheng Wang, Rencan Nie, Yanbu Guo
UFA-FUSE: A novel deep supervised and hybrid model for multi-focus image fusion. CoRR (2021)
Yongsheng Zang, Dongming Zhou, Changcheng Wang, Rencan Nie, Yanbu Guo
UFA-FUSE: A Novel Deep Supervised and Hybrid Model for Multifocus Image Fusion. IEEE Trans. Instrum. Meas. 70 (2021)
Yanyu Liu, Ruichao Hou, Dongming Zhou, Rencan Nie, Zhaisheng Ding, Yanbu Guo, Li Zhao
Multimodal medical image fusion based on the spectral total variation and local structural patch measurement. Int. J. Imaging Syst. Technol. 31 (1) (2021)
Chen Jin, Zhuangwei Shi, Weihua Li, Yanbu Guo
Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation. CoRR (2021)
Yanbu Guo, Dongming Zhou, Rencan Nie, Xiaoli Ruan, Weihua Li
DeepANF: A deep attentive neural framework with distributed representation for chromatin accessibility prediction. Neurocomputing 379 (2020)
Yanyu Liu, Dongming Zhou, Rencan Nie, Ruichao Hou, Zhaisheng Ding, Yanbu Guo, Jinwei Zhou
Robust spiking cortical model and total-variational decomposition for multimodal medical image fusion. Biomed. Signal Process. Control. 61 (2020)
Yanbu Guo, Dongming Zhou, Weihua Li, Rencan Nie, Ruichao Hou, Chengli Zhou
Attentive gated neural networks for identifying chromatin accessibility. Neural Comput. Appl. 32 (19) (2020)
Ruichao Hou, Dongming Zhou, Rencan Nie, Dong Liu, Lei Xiong, Yanbu Guo, Chuanbo Yu
VIF-Net: An Unsupervised Framework for Infrared and Visible Image Fusion. IEEE Trans. Computational Imaging 6 (2020)
Yanbu Guo, Weihua Li, Bingyi Wang, Huiqing Liu, Dongming Zhou
DeepACLSTM: deep asymmetric convolutional long short-term memory neural models for protein secondary structure prediction. BMC Bioinform. 20 (1) (2019)
Huiqing Liu, Yanbu Guo, Hongling Li, Weihua Li
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 46 (11A) (2019)
Yanbu Guo, Bingyi Wang, Weihua Li, Bei Yang
Protein secondary structure prediction improved by recurrent neural networks integrated with two-dimensional convolutional neural networks. J. Bioinform. Comput. Biol. 16 (5) (2018)
Yanbu Guo, Chen Jin, Weihua Li, Chen Ji, Yuan Fang, Yunhao Duan
A novel method of text representation on hybrid neural networks. CISP-BMEI (2017)