Publications

• Tong Si, Yunge Wang, Lingling Zhang, Evan Richmond, Tae-Hyuk Ahn, Haijun Gong,
  Multivariate time series change-point detection with a novel Pearson-like scaled Bregman divergence, Stats 7(2), 462-480 (2024)
• Tong Si, Zackary Hopkins, John Yanev, Jie Hou, and Haijun Gong.
  A novel f-divergence based generative adversarial imputation method for scRNA-seq data analysis. Plos ONE 18, no. 11 (2023): e0292792.
• Helen Richards, Yunge Wang, Tong Si, Hao Zhang, Haijun Gong,
  Intelligent Learning and Verification of Biological Networks. Advances in Artificial Intelligence, Computation, and Data Science (2021)

• Tong Si, Yunge Wang, Lingling Zhang, Kate Cannell, and Haijun Gong. " Change-Point Detection Using Scaled Bregman Divergence." F1000Research, 22nd International Conference on Bioinformatics (2023)
• Tong Si, Zackary Hopkins, John Yanev, Jie Hou, and Haijun Gong. " sc-fGAIN: An f-divergence-based Generative Adversarial Imputation Method for scRNA-sq Data Analysis." F1000Research, 22nd International Conference on Bioinformatics (2023)

Presentations

• Oral Presentation at Annual Graduate Research Symposium, Saint Louis University Apr. 2024
• Oral Presentation at the Mathematical Association of America Missouri Section, Liberty, MO Apr. 2024
• Oral Presentation at the Danforth Plant Sciences Center, St. Louis, MO Jan. 2024
• Oral Presentation, 22nd International Conference on Bioinformatics, Brisbane, Australia Nov. 2023
• Poster Presentation, International Conference on Intelligent Biology & Medicine, Tampa, FL Jul. 2023