Xunlei Qian

I’m a Ph.D. student in Statistics and Computer Science at Michigan State University, advised by Dr. Yue Xing and Prof. Jiliang Tang. My research focuses on uncertainty quantification in LLMs, conformal prediction, and LLM safety.

Selected Publications

• Corneli, M., Erosheva, E., Qian, X., et al. (2025). A Bayesian approach for clustering and exact finite-sample model selection in longitudinal data mixtures. Computational Statistics, 40, 509–545. DOI
• Qian, X., & Xing, Y. Ensuring Calibration Robustness in Split Conformal Prediction Under Adversarial Attacks. Submitted to ICML 2026.
• Qian, X., Cui, Y., Lin, Y., Wu, J., & Xing, Y. Multi-source online conformalized jailbreak detection. Submitted to UAI 2026.
• Qian, X., Shin, N., Li, H., Chu, Y., Miller, C., Krajcik, J., Tang, J., & Xing, Y. Multi-agent Large Language Model systems for Analyzing Elementary Students’ Constructed Response. Accepted to AERA 2026.