个人简介
龙亚辉，男，湖南蓝山人，博士后，现任中南大学特聘教授。2024年12月从新加坡A*STAR博士后出站，2025年1月作为海外人才引进回国工作。2019-2021年作为访问学者在新加坡A*STAR李晓黎教授（IEEE Fellow）领导的研究小组从事生物信息学的研究。长期从事生物医学应用算法开发，主要研究领域为人工智能、生物信息学、空间组学等。以第一/通讯作者身份在Nature Methods, Nature Communications, Briefings in Bioinformatics, Bioinformatics等国际权威期刊以及ECCB等生物信息学顶级会议发表学术论文20余篇。Google Scholar引用1200余次，单篇引用最高240余次，H指数为16。曾获2022年湖南大学优秀博士学位论文奖。长期担任Nature Methods, Nature Machine Intelligence, Genome Biology, Bioinformatics等期刊审稿人。
Google Scholar: https://scholar.google.com/citations?user=lUoNEgcAAAAJ&hl=zh-CN&oi=ao
欢迎有远大志向、对学术研究感兴趣的优秀本科生加入实验室。有论文发表经验、代码能力强的学生将优先考虑。
近五年代表性论文：
1.Yahui Long#, Kok Siong Ang, Raman Sethi, Sha Liao, Yang Heng, Lynn van Olst, Shuchen Ye, Chengwei Zhong, Hang Xu, Di Zhang, Immanuel Kwok, Nazihah Husna, Min Jian, Lai Guan Ng, Ao Chen, Nicholas RJ Gascoigne, David Gate, Rong Fan, Xun Xu, and Jinmiao Chen*. Deciphering spatial domains from spatial multi-omics with SpatialGlue. Nature Methods (IF=48). 21, 1658-1667, 2024.
2. Yahui Long#, Kok Siong Ang, Mengwei Li, Kian Long Kelvin Chong, Raman Sethi, Chengwei Zhong, Hang Xu, Zhiwei Ong, Karishma Sachaphibulkij, Ao Chen, Zeng Li, Huazhu Fu, Min Wu, Hsiu Kim Lina Lim, Longqi Liu, Jinmiao Chen. Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST. Nature Communications (IF=16), 14, 1155 (2023).
3. Xuejing Shi#, Juntong Zhu, Yahui Long*, and Cheng Liang. Identifying spatial domains of spatially resolved transcriptomics via multi-view graph convolutional networks. Briefings in Bioinformatics (IF=9.5). 24(5), 2023.
4. Yahui Long#, Min Wu, Yong Liu, Yuan Fang, Chee-Keong Kwoh, Jinmiao Chen, Jiawei Luo* and Xiaoli Li*. Pre-training Graph Neural Networks for Link Prediction in Biomedical Networks. Bioinformatics, 38(8), 2254-2262, 2022.
5. Yahui Long#, Min Wu, Yong Liu, Jie Zheng, Chee-Keong Kwoh, Jiawei Luo* and Xiaoli Li*. Graph Contextualized Attention Network for Predicting Synthetic Lethality in Human Cancers. Bioinformatics, 37 (16), 2432-2440, 2021.
6. Yahui Long#, Min Wu, Chee-Keong Kwoh, Jiawei Luo* and Xiaoli Li*. Predicting Human Microbe-Drug Associations via Graph Convolutional Network with Conditional Random Field. Bioinformatics, 36(19), 4918–4927, 2020.
7. Yahui Long#, Min Wu, Yong Liu, Chee-Keong, Kwoh, Jiawei Luo and Xiaoli Li. Ensembling graph attention networks for human microbe-drug association prediction. Bioinformatics, 36, i779–i786, 2020.
8. Yahui Long#, Jiawei Luo*, Yu Zhang and Yan Xia. Predicting Human Microbe-Disease Associations via Graph Attention Networks with Inductive Matrix Completion. Briefings in Bioinformatics, 22(3), 2020.
9. Yahui Long# and Jiawei Luo. Association mining to identify microbe drug interactions based on heterogeneous network embedding representation. IEEE Journal of Biomedical and Health Informatics (J-BHI), 25(01), 266-275, 2020.
其它部分发表论文：
1. Bo Wang#, Yahui Long, Yuting Bai, Jiawei Luo*, Chee Keong Kwoh*. STCGAN: a novel cycle-consistent generative adversarial network for spatial transcriptomics cellular deconvolution. Briefings in Bioinformatics, 26(1), 2025.
2. Wanwan Shi#, Yahui Long, Jiawei Luo*, Ying Liu, Zehao Xiong, Bo Wang, Zhongyuan Xu. scGANCL: Bidirectional Generative Adversarial Network for Imputing scRNA-seq Data with Contrastive Learning. IEEE Transaction on Computational Biology and Bioinformatics (IEEE TCBB). Early Access. 2025.
3. Yimiao Feng#, Yahui Long, He Wang, Yang Ouyang, Quan Li, Min Wu*, Jie Zheng*. Benchmarking machine learning methods for synthetic lethality prediction in cancer. Nature Communications, 15, 9058, 2024.
4. Raman Sethi#, Kok Siong Ang, Mengwei Li, Yahui Long, Jingjing Ling, Jinmiao Chen*. ezSingleCell: an integrated one-stop single-cell and spatial omics analysis platform for bench scientists. Nature Communications, 15, 5600, 2024.
5. Hang Xu#, Huazhu Fu#, Yahui Long, Kok Siong Ang, Raman Sethi, Kelvin Chong, Mengwei Li, Rom Uddamvathanak, Hong Kai Lee, Jingjing Ling, Ao Chen, Ling Shao, Longqi Liu, and Jinmiao Chen*. Unsupervised spatially embedded deep representation of spatial transcriptomics. Genome Medicine. 16, 12, 2024.
教育经历
[1] 2019.12-2021.3
南洋理工大学&新加坡科技研究局 | 计算机科学与技术 博士联合培养
[2] 2017.9-2021.6
湖南大学 | 计算机科学与技术 博士
[3] 2014.9-2017.6
湖南大学 | 软件工程 硕士
工作经历
[1] 2025.1-至今
中南大学
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计算机学院
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特聘教授
[2] 2021.7-2024.12
新加坡科技研究局（A*STAR）
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生物信息学研究所
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博士后
其他联系方式
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