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2020 – today
- 2024
[j21]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): 103541 (2024)- [j20]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): 8241-8253 (2024) - 2023
- [j19]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: 491-505 (2023) - [j18]Weihua Li, Yanbu Guo, Bingyi Wang, Bei Yang:
Learning spatiotemporal embedding with gated convolutional recurrent networks for translation initiation site prediction. Pattern Recognit. 136: 109234 (2023) - [j17]Shaoliang Yang, Dongming Zhou, Jinde Cao, Yanbu Guo:
LightingNet: An Integrated Learning Method for Low-Light Image Enhancement. IEEE Trans. Computational Imaging 9: 29-42 (2023) - 2022
- [j16]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: 103387 (2022) - [j15]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: 118004 (2022) - [j14]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: 107783 (2022) - [j13]Yanbu Guo, Hongxue Shen, Weihua Li, Chaoyang Li, Chen Jin:
Deep Effective k-mer representation learning for polyadenylation signal prediction via co-occurrence embedding. Knowl. Based Syst. 256: 109887 (2022) - [j12]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: 287-299 (2022) - [j11]Shaoliang Yang, Dongming Zhou, Jinde Cao, Yanbu Guo:
Rethinking Low-Light Enhancement via Transformer-GAN. IEEE Signal Process. Lett. 29: 1082-1086 (2022) - 2021
- [j10]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: 107133 (2021) - [j9]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): 391-411 (2021) - [j8]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: 1-17 (2021) - [i2]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 abs/2101.04506 (2021) - [i1]Chen Jin, Zhuangwei Shi, Weihua Li, Yanbu Guo:
Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation. CoRR abs/2105.09681 (2021) - 2020
- [j7]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: 101996 (2020) - [j6]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: 305-318 (2020) - [j5]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): 15557-15571 (2020) - [j4]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: 640-651 (2020)
2010 – 2019
- 2019
- [j3]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): 341:1-341:12 (2019) - [j2]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): 66-71 (2019) - 2018
- [j1]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): 1850021:1-1850021:19 (2018) - 2017
- [c1]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: 1-6
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