Weiwen Wang

Weiwen Wang

About me

I am currently working in the Department of Mathematics at Jinan (暨南) University in Guangzhou, China. I got my PhD in applied mathematics at Sun Yat-sen University in 2022. My research focuses on developing advanced non-i.i.d.-oriented machine learning algorithms for heterogeneous biomedical data, including multi-omics and single-cell data, as well as histopathological images.

Publications

  • Lai Z-R, Wang W📧. Invariant risk minimization is a total variation model. In: Proceedings of the 41st International Conference on Machine Learning (ICML 2024). Vienna, Austria: 2024: 25913-25935. [code]
  • Yang J, Wang W📧, Zhang X. scSemiGCN: boosting cell-type annotation from noise-resistant graph neural networks with extremely limited supervision. Bioinformatics, 2024, 40(2): btae091.[code]
  • Wang W, Zhang X, Dai D-Q. springD2A: capturing uncertainty in disease-drug association prediction. Bioinformatics, 2022, 38(5):1353–1360.[code]
  • Zhang X, Wang W, Ren C-X, Dai D-Q. Learning representation for multiple biological networks via a robust graph regularized integration approach. Briefings in Bioinformatics, 2022, 23(1):bbab409.[code]
  • Song W, Wang W, Dai D-Q. Subtype-WESLR: identifying cancer subtype with weighted ensemble sparse latent representation of multi-view data. Briefings in Bioinformatics, 2022, 23(1):bbab398.[code]
  • Liu Y, Wang W, Ren C-X, Dai D-Q. MetaCon: meta contrastive learning for microsatellite instability detection. In: 24th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). Strasbourg, France: 2021:267–276.
  • Wang W, Zhang X, Dai D-Q. DeFusion: a denoised network regularization framework for multi-omics integration. Briefings in Bioinformatics, 2021, 22(5):bbab057.[code]

📧Corresponding Author

Teaching

  • Calculus I for undergraduates (Autumn 2022, Autumn 2023, Autumn 2024)
  • Probability and Mathematical Statistics for undergraduates (Spring 2023)
  • High-dimensional Data Analysis for MSc (Spring 2023, Spring 2024)
  • Optimization Methods for MSc (Spring 2024)