Yanbu Guo - RankMe

33 papers Journal 32Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A social recommendation model based on cross-view contrastive learning and multi-head attention for multi-rating fusion. Eng. Appl. Artif. Intell. Rui Chen, Zhuo Dai, Wei Lu, Yanbu Guo, Weizhi Meng, Pu Li, Min Huang, Xiangjie Kong
2026	J	`jnl`	Cross-view graph representation learning model with variational information bottleneck for the association prediction of micro RNA-diseases. Appl. Soft Comput. Yanbu Guo, Yiyang Xin, Xiaoyu Duan, Dongming Zhou, Jinde Cao
2026	J	`jnl`	Deep semantic and structural feature-aware drug repositioning with heterogeneous frequency-domain contrastive regularization learning. Eng. Appl. Artif. Intell. Yanbu Guo, Haokun Zhu, Xiangjun Xin, Chaoyang Li, Jinde Cao
2026	J	`jnl`	DiffAD: Diffusion augmentation for influenza virus antigenic distance prediction. Expert Syst. Appl. Qingbo Liu, Yuanling Xia, Yanbu Guo, Weihua Li
2026	J	`jnl`	GSLDWOA: A Feature Selection Algorithm for Intrusion Detection Systems in IIoT. Comput. Mater. Continua Wanwei Huang, Huicong Yu, Jiawei Ren, Kun Wang, Yanbu Guo, Lifeng Jin
2026	J	`jnl`	Graph contrastive learning with positional embeddings for predicting influenza antigenicity. Inf. Sci. Qingbo Liu, Yuan-Ling Xia, Yanbu Guo, Weihua Li
2025	J	`jnl`	CKDTA: A chemical knowledge-enhanced framework for drug-target affinity prediction. J. Comput. Sci. Xingran Zhao, Yanbu Guo, Bingyi Wang, Weihua Li
2025	J	`jnl`	Deep gate information bottleneck-based prediction model for complex disease-related micro-ribonucleic acids via heterogeneous biological networks. Eng. Appl. Artif. Intell. Yanbu Guo, Yiyang Xin, Jinde Cao, Yaoli Xu, Dongming Zhou
2025	J	`jnl`	Heterogeneous graph collaborative representation learning for drug-related microbe prediction with attentive fusion and reciprocal distillation. Knowl. Based Syst. Yanbu Guo, Quanming Guo, Shengli Song, Yihan Wang, Jinde Cao
2024	J	`jnl`	Context-Aware Poly(A) Signal Prediction Model via Deep Spatial-Temporal Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Yanbu Guo, Dongming Zhou, Pu Li, Chaoyang Li, Jinde Cao
2024	J	`jnl`	EPIC: An epidemiological investigation of COVID-19 dataset for Chinese named entity recognition. Inf. Process. Manag. Pu Li, Guohao Zhou, Yanbu Guo, Suzhi Zhang, Yuncheng Jiang, Yong Tang
2023	J	`jnl`	Learning spatiotemporal embedding with gated convolutional recurrent networks for translation initiation site prediction. Pattern Recognit. Weihua Li, Yanbu Guo, Bingyi Wang, Bei Yang
2023	J	`jnl`	LightingNet: An Integrated Learning Method for Low-Light Image Enhancement. IEEE Trans. Computational Imaging Shaoliang Yang, Dongming Zhou, Jinde Cao, Yanbu Guo
2023	J	`jnl`	Variational gated autoencoder-based feature extraction model for inferring disease-miRNA associations based on multiview features. Neural Networks Yanbu Guo, Dongming Zhou, Xiaoli Ruan, Jinde Cao
2022	J	`jnl`	Context-aware dynamic neural computational models for accurate Poly(A) signal prediction. Neural Networks Yanbu Guo, Chaoyang Li, Dongming Zhou, Jinde Cao, Hui Liang
2022	J	`jnl`	Deep Effective Knowl. Based Syst. Yanbu Guo, Hongxue Shen, Weihua Li, Chaoyang Li, Chen Jin
2022	J	`jnl`	Deep multi-scale Gaussian residual networks for contextual-aware translation initiation site recognition. Expert Syst. Appl. Yanbu Guo, Dongming Zhou, Weihua Li, Jinde Cao
2022	J	`jnl`	Gated residual neural networks with self-normalization for translation initiation site recognition. Knowl. Based Syst. Yanbu Guo, Dongming Zhou, Jinde Cao, Rencan Nie, Xiaoli Ruan, Yanyu Liu
2022	J	`jnl`	Rethinking Low-Light Enhancement via Transformer-GAN. IEEE Signal Process. Lett. Shaoliang Yang, Dongming Zhou, Jinde Cao, Yanbu Guo
2022	J	`jnl`	TSE_Fuse: Two stage enhancement method using attention mechanism and feature-linking model for infrared and visible image fusion. Digit. Signal Process. Yanyu Liu, Dongming Zhou, Rencan Nie, Zhaisheng Ding, Yanbu Guo, Xiaoli Ruan, Weidai Xia, Ruichao Hou
2021	J	`jnl`	Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation. CoRR Chen Jin, Zhuangwei Shi, Weihua Li, Yanbu Guo
2021	J	`jnl`	Identifying polyadenylation signals with biological embedding via self-attentive gated convolutional highway networks. Appl. Soft Comput. Yanbu Guo, Dongming Zhou, Weihua Li, Jinde Cao, Rencan Nie, Lei Xiong, Xiaoli Ruan
2021	J	`jnl`	Multimodal medical image fusion based on the spectral total variation and local structural patch measurement. Int. J. Imaging Syst. Technol. Yanyu Liu, Ruichao Hou, Dongming Zhou, Rencan Nie, Zhaisheng Ding, Yanbu Guo, Li Zhao
2021	J	`jnl`	UFA-FUSE: A Novel Deep Supervised and Hybrid Model for Multifocus Image Fusion. IEEE Trans. Instrum. Meas. Yongsheng Zang, Dongming Zhou, Changcheng Wang, Rencan Nie, Yanbu Guo
2021	J	`jnl`	UFA-FUSE: A novel deep supervised and hybrid model for multi-focus image fusion. CoRR Yongsheng Zang, Dongming Zhou, Changcheng Wang, Rencan Nie, Yanbu Guo
2020	J	`jnl`	Attentive gated neural networks for identifying chromatin accessibility. Neural Comput. Appl. Yanbu Guo, Dongming Zhou, Weihua Li, Rencan Nie, Ruichao Hou, Chengli Zhou
2020	J	`jnl`	DeepANF: A deep attentive neural framework with distributed representation for chromatin accessibility prediction. Neurocomputing Yanbu Guo, Dongming Zhou, Rencan Nie, Xiaoli Ruan, Weihua Li
2020	J	`jnl`	Robust spiking cortical model and total-variational decomposition for multimodal medical image fusion. Biomed. Signal Process. Control. Yanyu Liu, Dongming Zhou, Rencan Nie, Ruichao Hou, Zhaisheng Ding, Yanbu Guo, Jinwei Zhou
2020	J	`jnl`	VIF-Net: An Unsupervised Framework for Infrared and Visible Image Fusion. IEEE Trans. Computational Imaging Ruichao Hou, Dongming Zhou, Rencan Nie, Dong Liu, Lei Xiong, Yanbu Guo, Chuanbo Yu
2019	J	`jnl`	DeepACLSTM: deep asymmetric convolutional long short-term memory neural models for protein secondary structure prediction. BMC Bioinform. Yanbu Guo, Weihua Li, Bingyi Wang, Huiqing Liu, Dongming Zhou
2019	J	`jnl`	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 Huiqing Liu, Yanbu Guo, Hongling Li, Weihua Li
2018	J	`jnl`	Protein secondary structure prediction improved by recurrent neural networks integrated with two-dimensional convolutional neural networks. J. Bioinform. Comput. Biol. Yanbu Guo, Bingyi Wang, Weihua Li, Bei Yang
2017	—	`conf`	A novel method of text representation on hybrid neural networks. CISP-BMEI Yanbu Guo, Chen Jin, Weihua Li, Chen Ji, Yuan Fang, Yunhao Duan