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Jinwen Xu

2 accepted papers

2026

Conformalized Gaussian processes for online uncertainty quantification over graphs

ICASSP 2026oral

Uncertainty quantification (UQ) over graphs arises in a number of safety-critical applications in network science. The Gaussian process (GP), as a classical Bayesian framework for UQ, has been developed to handle graph-structured data by devising topology-aware kernel functions. However, such GP-bas…

Cited by 0SourcePDFScholar
2025

Online scalable Gaussian processes with conformal prediction for guaranteed coverage

ICASSP 2025accepted

The Gaussian process (GP) is a Bayesian non-parametric paradigm that is widely adopted for uncertainty quantification (UQ) in a number of safety-critical applications, including robotics, healthcare, as well as surveillance. The consistency of the resulting uncertainty values however, hinges on the…

Cited by 0SourceScholar