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孙慧妍

职称:研究员、博士生导师

毕业院校:吉林大学

email:huiyansun@jlu.edu.cn

个人主页:https://www.researchgate.net/profile/Huiyan_Sun2

研究方向:机器学习、因果推断、生物信息学、精准医学

个人简介

孙慧妍,吉林大学人工智能学院研究员,吉林大学口腔医院双聘教师,博士生导师。吉林省优青。从事人工智能及因果推断与生物医学交叉学科研究。近五年,以第一作者或通讯作者发表在《Cancer Research》、《National Science Review》、《Genomics, Proteomics & Bioinformatics》、《PLOS Computational Biology》、AAAI等高水平杂志和国际人工智能顶级会议上发表论文20余篇。主持国家自然科学基金面上项目1项、青年项目1项、吉林大学有组织科研专项项目1项;参与国家自然科学基金重点、面上项目4项。入选吉林大学优青培育计划。获ACM SIGBIO CHINA 2022新星奖。

工作经历

2021.05 —— 至今         吉林大学人工智能学院 研究员

2019.08 —— 2021.05    吉林大学人工智能学院 副研究员


教育经历

2011.09 —— 2018.12    吉林大学计算机科学与技术学院生物信息学专业 硕博连读

2017.06 —— 2017.12    澳门大学健康科学学院 研究助理

2014.06 —— 2016.12    美国佐治亚大学生物化学与分子生物学学院 访问学生

2007.09 —— 2011.06    吉林大学计算机科学与技术学院计算机科学与技术专业 本科

科研项目

  1. 2024-2027:国家自然科学基金委面上项目:面向癌症驱动因子识别及其调控作用预测的因果推断方法研究,主持人

  2. 2023 -2025:吉林大学有组织科研专项项目, 主持人

  3. 2020-2022:国家自然科学基金委青年项目:基于单样本边扰动网络的癌症个体化诊疗研究,主持人

  4. 2020-2023:国家自然科学基金委面上项目:基于深度学习的个性化基因组与药物相互作用研究,参与人

  5. 2020-2023:国家自然科学基金委区域联合基金项目:融合群智能的大规模生物医学知识图谱构建及推理理论与方法,参与人

  6. 2015-2018:国家自然科学基金委面上项目:全基因组重测序数据高维SNP相互作用研究,参与人

  7. 2013-2016:国家自然科学基金委面上项目:基于农作物高通量表达谱数据的特征选择与分子网络构建的评估算法,参与人

论文选

详见个人主页,近五年部分论文信息如下:(以下论文中,+为共同第一作者, *为通讯作者)

  1. Huiyan Sun+, Yi Zhou+, Michael Francis Skaro, Yiran Wu, Zexing Qu, Fenglou Mao, Suwen Zhao, Ying Xu*. (2020). Metabolic Reprogramming in Cancer is Induced to Increase Proton Production. Cancer Research, DOI: 10.1158/0008-5472.CAN-19-3392.  

  2.  Yi Zhou+, Huiyan Sun+, Ying Xu*. (2020). Metabolic reprogramming in cancer: The bridge that connects intracellular stresses and cancer behaviors. National Science Review 7(8):1270-1273. 

  3. Huiyan Sun, Liang Chen, Sha Cao, Yanchun Liang, Ying Xu*. (2019). Warburg Effects in Cancer and Normal Proliferating Cells: Two Tales of the Same Name. Genomics, Proteomics & Bioinformatics,17(3). 

  4. Huiyan Sun, Chi Zhang, Sha Cao, Tao Sheng, Ning Dong, Ying Xu*. (2018). Fenton reactions drive nucleotide and ATP syntheses in cancer, Journal of Molecular Cell Biology,10(5):448-459. 

  5. Qiang Huang, Jing Ma, Jundong Li, Ruocheng Guo, Huiyan Sun*, Yi Chang*. (2023). Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data. ACM Transactions on Knowledge Discovery from Data, doi.org/10.1145/3628449

  6. Ke Feng, Hongyang Jiang, Chaoyi Yin, Huiyan Sun*. (2023).Gene regulatory network inference based on causal discovery integrating with graph neural network. Quantitative Biology.

  7. Yujie Gu, Huiyan Sun*, Yansong Wang, Haobo Shi. (2023). Improve Robustness of Graph Neural Networks: Multi-hop Neighbors Meet Homophily-based Truncation Defense. International Joint Conference on Neural Networks IJCNN 2023

  8. Yijun Liu, Fuhu Song, Zhi Li, Liang Chen, Ying Xu, Huiyan Sun*, Yi Chang*.(2023). DBPOM: a comprehensive database of pharmaco-omics for cancer precision medicine. Frontiers in Pharmacology, 14, 32

  9. Hongzhi Song, Chaoyi Yin, Z Li, Ke Feng, Yangkun Cao, Yujie Gu, Huiyan Sun*(2023). Identification of Cancer Driver Genes by Integrating Multi-omics Data with Graph Neural Networks. Metabolites 13 (3), 339

  10. Yijun Liu, Ji Sun, Huiyan Sun*, Yi Chang*.(2022). Identification of key somatic oncogenic mutation based on a confounder-free causal inference model. PLOS Computational Biology, doi:10.1371/journal.pcbi.1010529 

  11. Qiang Huang, Jundong Li, Huiyan Sun*, Yi Chang*. SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training. ECML-PKDD 2022 

  12. Chaoyi Yin+, Yangkun Cao+, Peishuo Sun, Hengyuan Zhang, Zhi Li*, Ying Xu, Huiyan Sun* (2022) Molecular Subtyping of Cancer based on Robust Graph Neural Network and Multi-omics Data Integration. Frontiers in genetics, doi: 10.3389/fgene.2022.884028.

  13. Peishuo Sun, Ying Wu, Chaoyi Yin, Hongyang Jiang, Ying Xu, Huiyan Sun*. (2022) Molecular Subtyping of Cancer based on Distinguishing Co-expression Modules and Machine Learning. Frontiers in Genetics, doi: 10.3389/fgene.2022.866005

  14. Yingze Xu, Yan Wang*, Xuping Xie, Feilong Wang, Qi Chen, Huiyan Sun* (2021) An AutoEncoder-Based Matrix Factorization Approach to Estimating Cell Proportion from Bulk Tumor RNA-seq Data. IEEE BIBM 2021.

  15. Qiang Huang, Tingyu Xia, Huiyan Sun*, Makoto Yamada*, Yi Chang. Unsupervised Nonlinear Feature Selection from High-dimensional Signed Networks. AAAI 2020. 

  16. Liang Chen+, Changliang Wang+, Huiyan Sun+, Juexin Wang, Yanchun Liang, Garry Wong*. (2020). The bioinformatics toolbox for circRNA discovery and analysis. Briefings in Bioinformatics, DOI: 10.1093/bib/bbaa001. 

  17. Huiyan Sun+, Yi Zhou+, Hongyang Jiang, Ying Xu*. (2020). Elucidation of Functional Roles of Sialic Acids in Cancer Migration. Frontiers in Oncology, DOI: 10.3389/fonc.2020.00401. 

  18. Hongyang Jiang+, Zhihang Wang+, Chaoyi Yin, Peishuo Sun, Ying Xu*, Huiyan Sun*. (2020). Identification of Cancer Development Related Pathways Based on Co-Expression Analyses. IEEE BIBM 2020

  19. Hongyang Jiang, Qiang Huang, Liang Chen, Zhi Li, Ying Xu, Huiyan Sun*, Chang Yi, Multi-classification of Cancer Samples based on Co-expression Analyses. IEEE BIBM 2019. 

  20. Chen Liang, Sun Huiyan, Wang Changliang, Yang Yang, Zhang Menglei, Wong Garry*.(2018).miRNA Arm Switching Identifies Novel Tumour Biomarkers, Ebiomedicine, 38:37-46.

获奖情况

2020年全国商业科技进步奖二等奖

2022 ACM SIGBIO CHINA 新星奖

社会兼职

AAAI、IEEE BIBM、ECML-PKDD、CIKM、BIOKDD 等 PC Member;

IEEE TKDE、Genomics, Proteomics & Bioinformatics (GPB)、Bioinformatics、IEEE/ACM TCBB、BMC Cancer等杂志审稿人;

中国计算机学会生物信息学专委会委员

中国生物信息学会 ()系统生物专委会常委员

中国生物工程学会计算生物学与生物信息学专业委员会委员

中国中西医结合学会智慧医疗专业委员会委员

吉林省人工智能学会理事

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