- Published a paper on understanding large language model behaviors through interactive counterfactual generation and analysis at VIS'25
- Published a paper on improving comparative feedback collection for LLM generations at UIST'25
- Published a paper on customizing feature attributions for LLMs at EMNLP'25 (demo track)
- Published a paper on investigating large language model responses using self-consistency at CHI'24
- Published Polyphony: an Interactive Transfer Learning Framework for Single-Cell Data Analysis at VIS'22 (Best Abstract Award at BioVis@ISMB)
- Published VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models at VIS'21 (Best Paper Honorable Mention, Top 5%)
- Published DECE: Decision Explorer with Counterfactual Explanations for Machine Learning Models at VIS'20
- Published ProtoSteer: Steering deep sequence model with prototypes at VIS'19
Research Experience
Was a postdoc researcher at ETH Zürich.
Education
Ph.D. from HKUST, supervised by Huamin Qu; Postdoc at ETH Zürich, supervised by Menna El-Assady.
Background
Research Interests: Explainable AI, Visualization, Human-AI Interaction. Professional Field: Designs interactive model-probing tools and visualizations to support healthcare decision-making and enable human-centered model assessment and debugging.
Miscellany
Personal Interests: Attending academic conferences such as IEEE VIS 2025, and events like the Visualization-Empowered Human-in-the-Loop Artificial Intelligence focus period event at Linköping University.