I am a Ph.D. candidate from HKUST VisLab, under the supervision of Prof. Huamin Qu. My research interest lies in the field of Human-Center AI with data visualization. Specifically, my work tackles the interpretability issues of Machine Learning models, with the focus on building Interactive Visualization Systems to support general users in exploring Machine Learning models and making decisions (e.g., in clinical scenarios).
Before the Ph.D. study, I obtained my B.Eng. Degree in Computer Science and Technology from Beihang University in 2018.
VBridge incorporates ML explanations into clinicians' decision-making workflow. Enriched interactions proposed in the system connect the dots between ML features, explanations, and data.
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.