Hi, I’m Furui Cheng

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.

Interests
  • Data Visualization
  • Human-AI Collaboration
  • Healthcare

Selected Projects

VBridge: Support Clinicial Decision-Making with Explainable Machine Learning

VBridge: Support Clinicial Decision-Making with Explainable Machine Learning

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: Explore ML Model with Counterfactual Explanations

DECE: Explore ML Model 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.

ProtoSteer: Interact with Deep Sequence Model through Prototypes

ProtoSteer: Interact with Deep Sequence Model through Prototypes

ProtoSteer enables users with little or no ML expertise to improve a deep sequence model by interacting with prototypes.

Publications

(2021). VBridge: Connecting the Dots Between Features, Explanations, and Data for Healthcare Models. IEEE transactions on visualization and computer graphics (To Appear).

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(2020). DECE: Decision Explorer with Counterfactual Explanations for Machine Learning Models. IEEE Transactions on Visualization and Computer Graphics.

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(2019). ProtoSteer: Steering deep sequence model with prototypes. IEEE transactions on visualization and computer graphics.

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(2018). Pulse: Toward a Smart Campus by Communicating Real-time Wi-Fi Access Data. Workshop on Visualization for Communication, the IEEE Visualization Conference (VIS'18).

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