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

机器学习、因果学习、生物信息学、精准医学

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. Yi Zhou+, Huiyan Sun+, Ying Xu. (2020). Metabolic reprogramming in cancer: The bridge that connects intracellular stresses and cancer behaviors. National Science Review. 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. 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. Qiang Huang, Jundong Li, Huiyan Sun*, Yi Chang*. SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training. ECML-PKDD 2022. 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. 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. Ke Feng, Hongyang Jiang, Chaoyi Yin, Huiyan Sun*. (2023).Gene regulatory network inference based on causal discovery integrating with graph neural network. Quantitative Biology. Yonghe Zhao, Qiang Huang, Haolong Zeng, Yun Peng, Huiyan Sun*. (2024) De-confounding representation learning for counterfactual inference on continuous treatment via generative adversarial network. Data Mining and Knowledge Discovery. Hongyang Jiang, Yuezhu Wang, Chaoyi Yin, Hao Pan, Liqun Chen, Ke Feng, Yi Chang, and Huiyan Sun*.(2024). SLIVER: Unveiling Large Scale Gene Regulatory Networks of Single-Cell Transcriptomic Data through Causal Structure Learning and Modules Aggregation. Computers in Biology and Medicine. Hongyang Jiang, Qiang Huang, Yangkun Cao, Yi Chang, Huiyan Sun*. (2024). Estimating Individual Causal Treatment Effect by Variable Decomposition. IJCNN 2024. Siwei Wu, Chaoyi Yin, Yuezhu Wang, Huiyan Sun*. (2025). Identifying Cancer Prognosis Genes through Causal Learning. Briefings in Bioinformatics. Qiang Huang, Tingyu Xia, Huiyan Sun*, Makoto Yamada*, Yi Chang. Unsupervised Nonlinear Feature Selection from High-dimensional Signed Networks. AAAI 2020. 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. Hongyang Jiang, Qiang Huang, Liang Chen, Zhi Li, Ying Xu, Huiyan Sun *, Yi Chang, Multi- classification of Cancer Samples based on Co-expression Analyses. IEEE BIBM 2019.