Hi, I’m Furui Cheng

I am a Ph.D. candidate from HKUST VisLab, advised by Prof. Huamin Qu. My research interest lies in the field of Human-Centered AI with data visualization. I design and develop Interactive Visualization Systems to support users with no Machine Learning (ML) background in understanding and exploring ML models. I also focus on clinical scenarios and design visualization tools to support Human-AI-Collaborated decision-making.

I have worked with amazing researchers, developers, and designers from MIT, Bosch Research, and the Children’s Hospital of Zhejiang University.

Before the Ph.D. study, I obtained my B.Eng. Degree in Computer Science and Technology from Beihang University in 2018.

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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 and data to explain healthcare models.

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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.

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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.

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Publications

Furui Cheng, Dongyu Liu, Fan Du, Yanna Lin, Alexandra Zytek, Haomin Li, Huamin Qu, Kalyan Veeramachaneni (2021). VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models. IEEE Transactions on Visualization and Computer Graphics. Honorable Mention Award.

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Furui Cheng, Yao Ming, Huamin Qu (2020). DECE: Decision Explorer with Counterfactual Explanations for Machine Learning Models. IEEE Transactions on Visualization and Computer Graphics.

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Yao Ming, Panpan Xu, Furui Cheng, Huamin Qu, Liu Ren (2019). ProtoSteer: Steering deep sequence model with prototypes. IEEE Transactions on Visualization and Computer Graphics.

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Aoyu Wu, Bon Kyung Ku, Furui Cheng, Xinhuan Shu, Abishek Puri, Yifang Wang, Huamin Qu (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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