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Zhen LinPhD student SunLab University of Illinois at Urbana-Champaign |
I am a Ph.D. student at the University of Illinois at Urbana-Champaign, supervised by Professor Jimeng Sun. My current research interest is in developing robust deep learning models for healthcare problems, with a focus on uncertainty quantification. I was fortunate to be recognized as a 2023 Meta PhD Fellowship Finalist.
I started at UIUC in 2020. Previously, I received my bachelor’s degrees in Computer Science, Mathematics, and Statistics from UChicago in 2018. I also spent two years at AQR Capital Management LLC as an alpha signal researcher.
Generating with Confidence: Uncertainty Quantification for Black-box Large Language
Models |
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control |
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural
Networks |
Conformal Prediction with Temporal Quantile Adjustments |
Conformal Prediction Intervals with Temporal Dependence |
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models |
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models |
Clebsch-Gordan Networks: A Fully Fourier Space Spherical Convolutional Neural
Network |
† denotes alphabetical author ordering |