About Me

Hello, I’m Ruinan Jin, and I am currently the PhD student focus on medical and trustworthy machine learning. I hold a B.S. (Hon.) in Computer Science from the University of British Columbia (UBC). Below is a list of my research interests, and I am open to various forms of collaboration. If you share any of these interests, please feel free to reach out! Thank you :)

Research Interest

• Federated Learning (FL)
  • FL algorithms under heterogenous data.
  • Persornalized Federated Learning.
  • Federated Generative Adversarial Networks.
  • Federated Unlearning.
• Data Distillation and Generation
  • Various data distillation strategies under federated learning setting.
  • Various Generative Adversarial Networks.
• Vision-Language Multimodal Foundation Model
  • Various vision-language foundation modelsxw.
  • Trustworthness of foundation models.
• Machine Learning Privacy and Security
  • Membership inference attacks, backdoor attacks and defense strategies.
  • Differential privacy.
  • Machine unlearning.
  • Outlier detection.
• Robustness in Optimization
  • Spurious Correlation
  • Fairness in medical image analysis
  • Fairness of Foundation Models.

Software

FairMedFM: Collection of Foundation Models for medical image analysis and their fairness usages.