Hi, I’m Furui Cheng
I am a Ph.D. candidate from HKUST VisLab, advised by Prof. Huamin Qu. My research focuses on Human-Centered AI with data visualization approaches. My research goal is to support people in understanding and interacting with machine learning models by developing scalable visual interfaces and explainable machine learning techniques.
Recently, I focus on 1) facilitating interpretable and trustworthy AI-informed decision-making in clinical scenarios and 2) incorporating experts' knowledge into single-cell omics data annotation models through interactive machine learning.
Download my resumé.
- Data visualization
- Human-Centered AI
- AI-informed decision-making
- Biomedical AI
Selected Projects
Polyphony: incorporate experts' knowledge into ML models
Polyphony facilitates interactions between biologists and single-cell omics data annotation ML models with the integration of visualization and anchor-based interactive transfer learning.
VBridge: AI-informed clinical decision-making
VBridge incorporates ML explanations into clinicians' decision-making workflow by connecting the dots between ML features, data and explanations in healthcare models.
DECE: explore ML models with counterfactual explanations
DECE supports exploratory visual analysis on ML models with counterfactual explanations. The system helps non-expert users propose, verify, and refine their hypotheses on ML predictions.
Publications
Contact
- fchengaa@connect.ust.hk
- Lo Ka Chung University Center, HKUST, Clear Water Bay, Kowloon