☕️About Me
Yizirui Fang is a recent CS Master graduate from Johns Hopkins University. They are passionate about making machine learning human-centered and friendly. To this end, I expanded my interest in embodied AI, trustworthy and probabilistic machine learning and uncertainty quantification including conformal prediction.
I’m actively applying for PhD opportunities in 2025 Spring/Fall admission cycle.
Interests
- Embodied AI
- Uncertainty Quantification
- Probabilistic Machine Learning
- Robustness under Distribution Shift
Education
MS Eng in Computer Science
Johns Hopkins University
Applied Statistics and Machine Learning
Imperial College London
BSc Computer Science
University of Nottingham
📚 My Research
Please reach out to collaborate 😃
Featured Publications
Recent Publications
(2024).
Investigating Data Usage for Inductive Conformal Predictors.
arXiv preprint arXiv:2406.12262.
(2024).
Learning to Defer with an Uncertain Rejector via Conformal Prediction.
NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty.
(2024).
Learning to Defer with an Uncertain Rejector via Conformal Prediction.
(Under Review).
(2024).
SIFToM: Robust Spoken Instruction Following through Theory of Mind.
arXiv preprint arXiv:2409.10849.