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Published in Arxiv, 2024
Recommended citation: 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. https://arxiv.org/abs/2404.14642
Published in The Thirteenth International Conference on Learning Representations, 2025
Recommended citation: Xu, Rui, et al. “Wasserstein-Regularized Conformal Prediction under General Distribution Shift.” Proceedings of the International Conference on Learning Representations, 2025. https://iclr.cc/virtual/2025/poster/29180
Published in Forty-Third International Conference on Machine Learning (Oral), 2026
Recommended citation: Xu, Rui, et al. “Information Flow Reveals When to Trust Language Models.” Proceedings of the International Conference on Machine Learning, 2026. https://icml.cc/virtual/2026/poster/60884
Published in arXiv, 2026
Recommended citation: Xu, Rui, et al. "Geometry-Calibrated Conformal Abstention for Language Models." arXiv preprint arXiv:2604.27914 (2026). https://arxiv.org/abs/2604.27914
Published in arXiv, 2026
Recommended citation: Xu, Rui, et al. "Robust Conditional Conformal Prediction via Branched Normalizing Flow." arXiv preprint arXiv:2605.01868 (2026). https://arxiv.org/abs/2605.01868
Published:
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Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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