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2020 – today
- 2026
[j31]Yanbu Guo, Yiyang Xin, Xiaoyu Duan, Dongming Zhou
, Jinde Cao:
Cross-view graph representation learning model with variational information bottleneck for the association prediction of micro RNA-diseases. Appl. Soft Comput. 193: 114850 (2026)- [j30]Wanwei Huang, Huicong Yu, Jiawei Ren, Kun Wang, Yanbu Guo, Lifeng Jin:
GSLDWOA: A Feature Selection Algorithm for Intrusion Detection Systems in IIoT. Comput. Mater. Continua 86(1): 1-24 (2026) - [j29]Yanbu Guo, Haokun Zhu, Xiangjun Xin, Chaoyang Li, Jinde Cao:
Deep semantic and structural feature-aware drug repositioning with heterogeneous frequency-domain contrastive regularization learning. Eng. Appl. Artif. Intell. 163: 113135 (2026) - [j28]Rui Chen, Zhuo Dai, Wei Lu, Yanbu Guo, Weizhi Meng, Pu Li, Min Huang, Xiangjie Kong:
A social recommendation model based on cross-view contrastive learning and multi-head attention for multi-rating fusion. Eng. Appl. Artif. Intell. 174: 114538 (2026) - [j27]Qingbo Liu, Yuanling Xia, Yanbu Guo, Weihua Li:
DiffAD: Diffusion augmentation for influenza virus antigenic distance prediction. Expert Syst. Appl. 298: 129925 (2026) - [j26]Qingbo Liu, Yuan-Ling Xia, Yanbu Guo, Weihua Li:
Graph contrastive learning with positional embeddings for predicting influenza antigenicity. Inf. Sci. 733: 122955 (2026) - [j25]Yanbu Guo, Haokun Zhu, Jinde Cao, Rui Chen, Dongming Zhou:
Learning heterogeneous biological interactions via meta-relation-guided dual-channel graph transformer for circular ribonucleic acid function prediction. Knowl. Based Syst. 342: 115929 (2026) - 2025
- [j24]Yanbu Guo, Yiyang Xin, Jinde Cao, Yaoli Xu, Dongming Zhou:
Deep gate information bottleneck-based prediction model for complex disease-related micro-ribonucleic acids via heterogeneous biological networks. Eng. Appl. Artif. Intell. 156: 111222 (2025) - [j23]Xingran Zhao, Yanbu Guo, Bingyi Wang, Weihua Li:
CKDTA: A chemical knowledge-enhanced framework for drug-target affinity prediction. J. Comput. Sci. 92: 102706 (2025) - [j22]Yanbu Guo, Quanming Guo, Shengli Song, Yihan Wang, Jinde Cao:
Heterogeneous graph collaborative representation learning for drug-related microbe prediction with attentive fusion and reciprocal distillation. Knowl. Based Syst. 330: 114548 (2025) - 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
Coauthor Index
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last updated on 2026-05-25 00:46 CEST by the dblp team
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