Sun Huiyan

Assistant Professor, School of Artificial Intelligence,
Jilin University, ChangChun, China, 130012

Research Interests

My research focus on machine learning, cancer system biology and causal inference. I am working on a variety of topics including:

  • Causal discovery on high dimensional data
  • The driving force of cancer initiation and development
  • Cancer metabolic reprogramming
  • Causality for machine learning

Research Trainings

University of Macau

Macau
Research Assistant
2017.06 - 2017.12

Faculty of Health Sciences (Advisor Professor Renhe Xu)

University of Georgia

Athens
Visiting Student
2014.06 - 2016.12

Department of Biochemistry & Molecular Biology (Advisor Professor Ying Xu)

Educations

Ph.D., Bioinformatics

Jilin University
2013 - 2018

M.S., Computer science and technology

Jilin University
2011 - 2013

B.S., Computer science and technology

Jilin University
2007 - 2011

Publications

  • 1. Hongyang Jiang, Zhihang Wang, Chaoyi Yin, Peishuo Sun, Ying Xu*, Huiyan Sun*. Identification of Cancer Development Related Pathways Based on Co-Expression Analyses. IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2020
  • 2. Yi Zhou+, Huiyan Sun+, Ying Xu. Metabolic reprogramming in cancer: The bridge that connects intracellular stresses and cancer behaviors. National Science Review 2020, 7(8):1270-1273.
  • 3. Yijun Liu, Fuhu Song, Zhi Li, Liang Chen, Ying Xu, Huiyan Sun*, YiChang*. DBPOM: a comprehensive database of pharmaco-omics for cancer precision medicine. BioRxiv, DOI: 10.1101/2021.01.18.427205.
  • 4. Huiyan Sun+, Yi Zhou+, Hongyang Jiang, Ying Xu. Elucidation of Functional Roles of Sialic Acids in Cancer Migration. Frontiers in Oncology, 2020.03. DOI: 10.3389/fonc.2020.00401.
  • 5. Huiyan Sun+, Yi Zhou+, Michael Francis Skaro, Yiran Wu, Zexing Qu, Fenglou Mao, Suwen Zhao, Ying Xu. Metabolic Reprogramming in Cancer is Induced to Increase Proton Production. Cancer Research, 2020.01. DOI: 10.1158/0008-5472.CAN-19-3392.
  • 6. Liang Chen+, Changliang Wang+, Huiyan Sun+, Juexin Wang, Yanchun Liang, Garry Wong.The bioinformatics toolbox for circRNA discovery and analysis. Briefings in Bioinformatics, 2020.DOI: 10.1093/bib/bbaa001.
  • 7. Haoyang Li, Juexiao Zhou, Huiyan Sun, Zhaowen Qiu, Xin Gao, Ying Xu.CaMeRe: A Novel Tool for Inference of Cancer Metabolic Reprogramming. Frontiers in Oncology, 2020. DOI: 10.3389/fonc.2020.00207.
  • 8. Qiang Huang, Tingyu Xia, Huiyan Sun*, Makoto Yamada*, Yi Chang. Unsupervised Nonlinear Feature Selection from High-dimensional Signed Networks. AAAI 2020.
  • 9. Jiang Hongyang, Huang Qiang, Chen Liang, Li Zhi, Xu Ying, Sun Huiyan*, Chang Yi, Multi-classification of Cancer Samples based on Co-expression Analyses. IEEE BIBM 2019
  • 10. Wang XY, Jiang B, Sun HY, Zheng DJ, Zhang ZW, Yan L, Li EQ, Xu RH*. (2018) CXCL12-dependent acetylation of wound healing by topical application of MSC spheres, but not single cells, derived from safety-enhanced Hesc. Theranostics 2019,9(21):6112-6128. doi:10.7150/thno.32982.
  • 11. Sun Huiyan , Zhang Chi, Cao Sha, Sheng Tao, Dong Ning, Xu Ying. Fenton reactions drive nucleotide and ATP syntheses in cancer, Journal of Molecular Cell Biology, 2018,10(5):448-459.
  • 12. Sun Huiyan, Chen Liang, Cao Sha, Liang Yanchun, Xu Ying. Warburg Effects in Cancer and Normal Proliferating Cells: Two Tales of the Same Name. Genomics, Proteomics & Bioinformatics. 2019.
  • 13. Sun Huiyan, Liang Yanchun, Wang Yan, Chen Liang, Du Wei, Jiang Yuexu, Shi Xiaohu. Link Prediction Based on Extended Local Path Gain in Protein-Protein Interaction Network, Technical Gazette, 2019, 26(1):177-182.
  • 14. Chen Liang, Sun Huiyan, Wang Changliang, Yang Yang, Zhang Menglei, Wong Garry. miRNA Arm Switching Identifies Novel Tumour Biomarkers, Ebiomedicine, 2018,38:37-46.
  • 15. Chen Liang, Heikkinen Liisa, Wang Changliang, Yang Yang, Sun Huiyan, Wong Garry. Trends in the development of miRNA bioinformatics tools, Briefings in Bioinformatics, 2018, June 29.
  • 16. Wang Y, Sun HY, Du W, Blanzieri E, Viero G, Xu Y, and Liang YC. (2014). Identification of essential proteins based on ranking edge-weights in protein-protein interaction networks. PloS One, 9(9), e108716.
  • 17. Jiang, YX, Wang, Y, Pang, W, Chen, L, Sun HY, Liang, YC, and Blanzieri, E. (2015). Essential protein identification based on essential protein–protein interaction prediction by Integrated Edge Weights. Methods, 83, 51-62.
  • 18. Yan L, Jiang B, Niu Y, Wang H, Li E, Yan Y, Sun HY, Duan Y, Chang S, Chen G, Ji W, Xu RH, and Si W. (2018) Intrathecal delivery of human ESC-derived mesenchymal stem cell spheres promotes recovery of a primate multiple sclerosis model. Cell Death & Disc. DOI: 10.1038/s41420-018-0091-0.
  • 19. Sun HY, Liang, YC, Chen L, Wang, Y, Du, W and Shi, XH. (2013). An Improved Sum of Edge Clustering Coefficient Method for Essential Protein Identification. Journal of Bionanoscience, 7(4), 386-390.