Chi-Kuang Yeh

Chi-Kuang Yeh 葉啓光

* indicates students.

  • AURA: adaptive uncertainty-aware refinement for LLM-as-a-judge auditing
  • Conformal factuality control for multi-hop retrieval-augmented generation
  • CVXSADes: a stochastic algorithm for constructing optimal exact regression designs with single or multiple objectives
  • FTSgof: white noise and goodness-of-fit tests for functional time series in R
  • Patients-like-me: a variational LM--GNN framework for explainable clinical prediction
  • Quantifying and auditing LLM evaluation via positive--unlabeled learning
  • ragR: retrieval-augmented generation and RAG assessment in R
  • Single and multi-objective optimal designs for group testing experiments with a focus on screening for an infectious disease
  • Severity-controlled prediction sets for medication recommendation
  • Positive and unlabeled data: model, estimation, inference, and classification
  • Variable selection in multivariate functional linear regression
  • Functional spherical autocorrelation: a robust estimate of the autocorrelation of a functional time series
  • Evaluating real-time probabilistic forecasts with application to National Basketball Association outcome prediction
  • Properties of optimal regression designs under the second-order least squares estimator
  • Methods in functional data analysis: forecast evaluation, robust serial dependence measures, and a spatial factor copula model —
  • Optimal regression design under second-order least squares estimator: theory, algorithm and applications —