Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network. - Risi Kondor; Zhen Lin 001; Shubhendu Trivedi (NeurIPS, 2018)

Locally Valid and Discriminative Prediction Intervals for Deep Learning Models. - Zhen Lin 001; Shubhendu Trivedi; Jimeng Sun 001 (NeurIPS, 2021)

DeepSZ: Identification of Sunyaev-Zel'dovich Galaxy Clusters using Deep Learning. - Zhen Lin 001; Nicholas Huang; Camille Avestruz; W. L. Kimmy Wu; Shubhendu Trivedi; João Caldeira; Brian Nord (CoRR, 2021)

Locally Valid and Discriminative Confidence Intervals for Deep Learning Models. - Zhen Lin 001; Shubhendu Trivedi; Jimeng Sun 001 (CoRR, 2021)

SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models. - Zhen Lin 001; Lucas Glass; M. Brandon Westover; Cao Xiao; Jimeng Sun 001 (AAAI, 2022)

Conformal Prediction with Temporal Quantile Adjustments. - Zhen Lin 001; Shubhendu Trivedi; Jimeng Sun 001 (NeurIPS, 2022)

Conformal Prediction Intervals with Temporal Dependence. - Zhen Lin 001; Shubhendu Trivedi; Jimeng Sun 001 (Trans. Mach. Learn. Res., 2022)

Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks. - Zhen Lin 001; Shubhendu Trivedi; Jimeng Sun 001 (ICLR, 2023)

Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control. - Zhen Lin 001; Shubhendu Trivedi; Cao Xiao; Jimeng Sun 001 (ICML, 2023)

PyHealth: A Deep Learning Toolkit for Healthcare Applications. - Chaoqi Yang; Zhenbang Wu; Patrick Jiang; Zhen Lin 001; Junyi Gao; Benjamin P. Danek; Jimeng Sun 001 (KDD, 2023)

CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift. - Siddhartha Laghuvarapu; Zhen Lin 001; Jimeng Sun 001 (NeurIPS, 2023)

Conformal Drug Property Prediction with Density Estimation under Covariate Shift. - Siddhartha Laghuvarapu; Zhen Lin 001; Jimeng Sun 001 (CoRR, 2023)

Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation. - Zhen Lin 001; Shubhendu Trivedi; Jimeng Sun 001 (EMNLP, 2024)

Certifiably Byzantine-Robust Federated Conformal Prediction. - Mintong Kang; Zhen Lin 001; Jimeng Sun 001; Cao Xiao; Bo Li 026 (ICML, 2024)

Cross-Table Pretraining towards a Universal Function Space for Heterogeneous Tabular Data. - Jintai Chen; Zhen Lin 001; Qiyuan Chen 003; Jimeng Sun 001 (CoRR, 2024)

Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models. - Zhen Lin 001; Shubhendu Trivedi; Jimeng Sun 001 (Trans. Mach. Learn. Res., 2024)

MCQA-Eval: Efficient Confidence Evaluation in NLG with Gold-Standard Correctness Labels. - Xiaoou Liu; Zhen Lin 001; Longchao Da; Chacha Chen; Shubhendu Trivedi; Hua Wei 001 (CoRR, 2025)

Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey. - Xiaoou Liu; Tiejin Chen; Longchao Da; Chacha Chen; Zhen Lin 001; Hua Wei 001 (CoRR, 2025)