☕️About Me
Yizirui Fang is a recent CS Master graduate from Johns Hopkins University. They are passionate about human-centered machine learning and its application. To this end, they expanded my interest in embodied AI, trustworthy and probabilistic machine learning and uncertainty quantification including conformal prediction.
Interests
- Embodied AI
- Human-centered Machine Learning
- Bayesian Decision Making
- Robustness under Distribution Shift
- Uncertainty Quantification
Education
MS Eng in Computer Science
Johns Hopkins University
Applied Statistics and Machine Learning
Imperial College London
BSc Computer Science
University of Nottingham
Recent Publications
(2024).
Learning to Defer with an Uncertain Rejector via Conformal Prediction.
(Under Review).
(2024).
Learning to Defer with an Uncertain Rejector via Conformal Prediction.
NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty.
(2024).
SIFToM: Robust Spoken Instruction Following through Theory of Mind.
arXiv preprint arXiv:2409.10849.
(2024).
ARCHED: A Human-Centered Framework for Transparent, Responsible, and Collaborative AI-Assisted Instructional Design.
iRAISE 2025: Innovation and Responsibility for AI-Supported Education at the 39th AAAI Annual Conference on AI.
(2024).
Investigating Data Usage for Inductive Conformal Predictors.
arXiv preprint arXiv:2406.12262.