Yahui Long - RankMe

23 papers Journal 18Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DualBind: Dual-module protein-ligand binding affinity prediction with adaptive GNN and structure-aware transformer. Expert Syst. Appl. Xuan Lin, Jinyu Zhou, Siqi Chen, Yahui Long, Zu-Guo Yu
2025	—	`conf`	High-Frequency-Aware Graph Integration for Subcellular Spatial Transcriptomics. BIBM Wanwan Shi, Bo Wang, Yahui Long, Ying Liu, Qiu Xiao, Yuting Bai, Xiaoyi Peng, Xiangtao Chen, Jiawei Luo
2025	J	`jnl`	STCGAN: a novel cycle-consistent generative adversarial network for spatial transcriptomics cellular deconvolution. Briefings Bioinform. Bo Wang, Yahui Long, Yuting Bai, Jiawei Luo, Chee Keong Kwoh
2025	J	`jnl`	scGANCL: Bidirectional Generative Adversarial Network for Imputing scRNA-Seq Data With Contrastive Learning. IEEE Trans. Comput. Biol. Bioinform. Wanwan Shi, Yahui Long, Jiawei Luo, Ying Liu, Zehao Xiong, Bo Wang, Zhongyuan Xu
2024	—	`conf`	CSCL-DTI: predicting drug-target interaction through cross-view and self-supervised contrastive learning. BIBM Xuan Lin, Xi Zhang, Zu-Guo Yu, Yahui Long, Xiangxiang Zeng, Philip S. Yu
2023	J	`jnl`	An effective image fusion algorithm based on grey relation of similarity and morphology. J. Ambient Intell. Humaniz. Comput. Caiping Liu, Yahui Long, Jianxu Mao, Hui Zhang, Ruizhi Huang, Yang Dai
2023	J	`jnl`	CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learning. Bioinform. Bing-Xue Du, Yahui Long, Xiaoli Li, Min Wu, Jian-Yu Shi
2023	—	`conf`	GELKcat: An Integration Learning of Substrate Graph with Enzyme Embedding for Kcat prediction. BIBM Bing-Xue Du, Haoyang Yu, Bei Zhu, Yahui Long, Min Wu, Jian-Yu Shi
2023	J	`jnl`	Identifying spatial domains of spatially resolved transcriptomics via multi-view graph convolutional networks. Briefings Bioinform. Xuejing Shi, Juntong Zhu, Yahui Long, Cheng Liang
2023	—	`conf`	Interpretable multi-view attention network for drug-drug interaction prediction. BIBM Xuan Lin, Qi Wen, Sijie Yang, Zu-Guo Yu, Yahui Long, Xiangxiang Zeng
2023	J	`jnl`	Spatial-MGCN: a novel multi-view graph convolutional network for identifying spatial domains with attention mechanism. Briefings Bioinform. Bo Wang, Jiawei Luo, Ying Liu, Wanwan Shi, Zehao Xiong, Cong Shen, Yahui Long
2022	J	`jnl`	Pre-training graph neural networks for link prediction in biomedical networks. Bioinform. Yahui Long, Min Wu, Yong Liu, Yuan Fang, Chee Keong Kwoh, Jinmiao Chen, Jiawei Luo, Xiaoli Li
2021	J	`jnl`	Association Mining to Identify Microbe Drug Interactions Based on Heterogeneous Network Embedding Representation. IEEE J. Biomed. Health Informatics Yahui Long, Jiawei Luo
2021	J	`jnl`	Class similarity network for coding and long non-coding RNA classification. BMC Bioinform. Yu Zhang, Yahui Long, Chee Keong Kwoh
2021	J	`jnl`	Graph contextualized attention network for predicting synthetic lethality in human cancers. Bioinform. Yahui Long, Min Wu, Yong Liu, Jie Zheng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
2021	J	`jnl`	Predicting human microbe-disease associations via graph attention networks with inductive matrix completion. Briefings Bioinform. Yahui Long, Jiawei Luo, Yu Zhang, Yan Xia
2020	J	`jnl`	DL-CRISPR: A Deep Learning Method for Off-Target Activity Prediction in CRISPR/Cas9 With Data Augmentation. IEEE Access Yu Zhang, Yahui Long, Rui Yin, Chee Keong Kwoh
2020	J	`jnl`	Deep learning based DNA: RNA triplex forming potential prediction. BMC Bioinform. Yu Zhang, Yahui Long, Chee Keong Kwoh
2020	J	`jnl`	Ensembling graph attention networks for human microbe-drug association prediction. Bioinform. Yahui Long, Min Wu, Yong Liu, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
2020	J	`jnl`	NTSHMDA: Prediction of Human Microbe-Disease Association Based on Random Walk by Integrating Network Topological Similarity. IEEE ACM Trans. Comput. Biol. Bioinform. Jiawei Luo, Yahui Long
2020	—	`conf`	Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks. BIBM Yahui Long, Yu Zhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
2020	J	`jnl`	Predicting human microbe-drug associations via graph convolutional network with conditional random field. Bioinform. Yahui Long, Min Wu, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
2019	J	`jnl`	WMGHMDA: a novel weighted meta-graph-based model for predicting human microbe-disease association on heterogeneous information network. BMC Bioinform. Yahui Long, Jiawei Luo