孙慧妍,吉林大学人工智能学院研究员,博士生导师。吉林省优青。从事人工智能、因果学习及系统生物学研究。近五年,以第一作者或通讯作者发表在 Cancer Research、National Science Review、AAAI等杂志和国际人工智能会议上发表论文20余篇。编著及参与编著《因果推断：原理解析与应用实践》、《医学信息学》等书籍。主持国家自然科学基金2项、吉林省优秀青年基金项目。入选吉林大学优青培育计划。获ACM SIGBIO CHINA 2022新星奖、2020年全国商业科技进步奖二等奖等。

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）

https://scholar.google.com/citations?user=A9t1pDwAAAAJ&hl=en&oi=ao

       微环境压力下肿瘤演进机制探索

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.

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

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.

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.

   因果学习基础方法开发及其在疾病系统生物学中的应用

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

6. 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.

7. 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.

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

9. 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.

10. 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.

11. Hongyang Jiang, Qiang Huang, Yangkun Cao, Yi Chang, Huiyan Sun*. (2024). Estimating Individual Causal Treatment Effect by Variable Decomposition. IJCNN 2024.

12. Siwei Wu, Chaoyi Yin, Yuezhu Wang, Huiyan Sun*. (2025). Identifying Cancer Prognosis Genes through Causal Learning. Briefings in Bioinformatics.

    高维复杂生物系统建模及应用

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

14. 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.

15. 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.

To be appeared

1. Yonghe Zhao, Chaoyi Yin, Yuezhu Wang ,Ying Xu, Xin Gao*, Huiyan Sun*. (2025). Root Confounders are All You Need: Inferring Causal Effects in Biological Systems.

2. Haolong Zeng, Chaoyi Yin, Chunyang Chai, Yuezhu Wang, Qi Dai, Huiyan Sun*.(2025). Cancer Gene Identification through Integrating Causal Prompting Large Language Model with Omics Data-Driven Causal Inference.