Profile

龙亚辉，湖南蓝山人，特聘教授，国家优秀青年基金（海外）获得者，入选2025年度ACM SIGBIO China 新星奖。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）团队从事生物信息学研究。长期从事生物医学应用算法开发，主要研究领域为AI for Science、生物信息学、空间组学等。近五年，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1718次，单篇引用最高437次，入选ESI Top 1‰热点论文和Top 1%高被引论文，H指数为16。长期担任Nature Methods, Nature Machine Intelligence, Advanced Science, Genome Biology, Bioinformatics, PLOS Computational Biology等期刊审稿人。主持国家自然科学基金优青（海外）和青年项目、海归青年学者国际合作种子计划（重点资助）项目等。

Google Scholar: https://scholar.google.com/citations?user=lUoNEgcAAAAJ&hl=zh-CN&oi=ao

【招生信息】

   2026年招收1-2名博士研究生，3名硕士研究生。课题组经费充足，欢迎对AI for Science、生物信息学感兴趣的优秀本科生、硕士生加入实验室，一起探索科学的奥秘！

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. 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. 

2. 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. 

3. 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. 

4. 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. 

5. 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.