Uncertainty Quantification on Graph Learning: A Survey
Chen, C., Guo, C., Xu, R., Liao, X., Zhang, X., Xie, S., ... & Yu, P. (2024). Uncertainty Quantification on Graph Learning: A Survey. arXiv preprint arXiv:2404.14642.
Chen, C., Guo, C., Xu, R., Liao, X., Zhang, X., Xie, S., ... & Yu, P. (2024). Uncertainty Quantification on Graph Learning: A Survey. arXiv preprint arXiv:2404.14642.
Xu, Rui, et al. “Wasserstein-Regularized Conformal Prediction under General Distribution Shift.” Proceedings of the International Conference on Learning Representations, 2025.
Xu, Rui, et al. “Information Flow Reveals When to Trust Language Models.” Proceedings of the International Conference on Machine Learning, 2026.
Xu, Rui, et al. "Geometry-Calibrated Conformal Abstention for Language Models." arXiv preprint arXiv:2604.27914 (2026).
Xu, Rui, et al. "Robust Conditional Conformal Prediction via Branched Normalizing Flow." arXiv preprint arXiv:2605.01868 (2026).
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at London School of Testing, London, UK
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA