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ORCIDZhen Lin 0001
Person information
- affiliation: University of Illinois Urbana-Champaign, Department of Computer Science, IL, USA
Other persons with the same name
- Zhen Lin — disambiguation page
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Journal Articles
- 2024
[j2]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models. Trans. Mach. Learn. Res. 2024 (2024)- 2022
- [j1]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Conformal Prediction Intervals with Temporal Dependence. Trans. Mach. Learn. Res. 2022 (2022)
Conference and Workshop Papers
- 2024
- [c10]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation. EMNLP 2024: 10351-10368 - [c9]Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li:
Certifiably Byzantine-Robust Federated Conformal Prediction. ICML 2024 - 2023
- [c8]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks. ICLR 2023 - [c7]Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun:
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control. ICML 2023: 21182-21203 - [c6]Chaoqi Yang
, Zhenbang Wu, Patrick Jiang, Zhen Lin, Junyi Gao, Benjamin P. Danek, Jimeng Sun:
PyHealth: A Deep Learning Toolkit for Healthcare Applications. KDD 2023: 5788-5789 - [c5]Siddhartha Laghuvarapu, Zhen Lin, Jimeng Sun:
CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift. NeurIPS 2023 - 2022
- [c4]Zhen Lin, Lucas Glass, M. Brandon Westover, Cao Xiao, Jimeng Sun:
SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models. AAAI 2022: 7497-7505 - [c3]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Conformal Prediction with Temporal Quantile Adjustments. NeurIPS 2022 - 2021
- [c2]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models. NeurIPS 2021: 8378-8391 - 2018
- [c1]Risi Kondor, Zhen Lin, Shubhendu Trivedi:
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network. NeurIPS 2018: 10138-10147
Informal and Other Publications
- 2025
- [i15]Xiaoou Liu, Zhen Lin, Longchao Da, Chacha Chen, Shubhendu Trivedi, Hua Wei:
MCQA-Eval: Efficient Confidence Evaluation in NLG with Gold-Standard Correctness Labels. CoRR abs/2502.14268 (2025) - [i14]Xiaoou Liu, Tiejin Chen, Longchao Da, Chacha Chen, Zhen Lin, Hua Wei:
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey. CoRR abs/2503.15850 (2025) - 2024
- [i13]Jintai Chen, Zhen Lin, Qiyuan Chen, Jimeng Sun:
Cross-Table Pretraining towards a Universal Function Space for Heterogeneous Tabular Data. CoRR abs/2406.00281 (2024) - [i12]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation. CoRR abs/2406.01806 (2024) - [i11]Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li:
Certifiably Byzantine-Robust Federated Conformal Prediction. CoRR abs/2406.01960 (2024) - 2023
- [i10]Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun:
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control. CoRR abs/2302.00839 (2023) - [i9]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models. CoRR abs/2305.19187 (2023) - [i8]Siddhartha Laghuvarapu, Zhen Lin, Jimeng Sun:
Conformal Drug Property Prediction with Density Estimation under Covariate Shift. CoRR abs/2310.12033 (2023) - 2022
- [i7]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks. CoRR abs/2202.07679 (2022) - [i6]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Conformal Prediction with Temporal Quantile Adjustments. CoRR abs/2205.09940 (2022) - [i5]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Conformal Prediction Intervals with Temporal Dependence. CoRR abs/2205.12940 (2022) - 2021
- [i4]Zhen Lin, Nicholas Huang, Camille Avestruz, W. L. Kimmy Wu, Shubhendu Trivedi, João Caldeira, Brian Nord:
DeepSZ: Identification of Sunyaev-Zel'dovich Galaxy Clusters using Deep Learning. CoRR abs/2102.13123 (2021) - [i3]Zhen Lin, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun:
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models. CoRR abs/2103.03945 (2021) - [i2]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Locally Valid and Discriminative Confidence Intervals for Deep Learning Models. CoRR abs/2106.00225 (2021) - 2018
- [i1]Risi Kondor, Zhen Lin, Shubhendu Trivedi:
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network. CoRR abs/1806.09231 (2018)
Coauthor Index
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