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ORCIDCharles Zheng 0001
Person information
- affiliation: National Institute of Mental Health, Machine Learning Team, Bethesda, MD, USA
- affiliation (PhD 2017): Stanford University, Department of Statistics, CA, USA
Other persons with the same name
- Charles Zheng — disambiguation page
- Charles Zheng 0002 — University of Notre Dame, IN, USA
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2020 – today
- 2024
[j6]Eneko Uruñuela
, Javier Gonzalez-Castillo, Charles Zheng, Peter A. Bandettini, César Caballero-Gaudes:
Whole-brain multivariate hemodynamic deconvolution for functional MRI with stability selection. Medical Image Anal. 91: 103010 (2024)- 2022
- [c4]Lukas Muttenthaler, Charles Y. Zheng, Patrick McClure, Robert A. Vandermeulen, Martin N. Hebart, Francisco Pereira:
VICE: Variational Interpretable Concept Embeddings. NeurIPS 2022 - [i8]Lukas Muttenthaler, Charles Y. Zheng, Patrick McClure, Robert A. Vandermeulen, Martin N. Hebart, Francisco Pereira:
VICE: Variational Interpretable Concept Embeddings. CoRR abs/2205.00756 (2022) - [i7]Yenho Chen, Carl W. Harris, Xiaoyu Ma, Zheng Li, Francisco Pereira, Charles Y. Zheng:
Testing for context-dependent changes in neural encoding in naturalistic experiments. CoRR abs/2211.09295 (2022)
2010 – 2019
- 2019
- [j5]Patrick McClure, Nao Rho, John A. Lee, Jakub R. Kaczmarzyk, Charles Y. Zheng, Satrajit S. Ghosh, Dylan Nielson, Adam G. Thomas, Peter A. Bandettini, Francisco Pereira:
Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural Networks. Frontiers Neuroinformatics 13: 67 (2019) - [j4]Hua Xie, Charles Y. Zheng, Daniel A. Handwerker, Peter A. Bandettini, Vince D. Calhoun, Sunanda Mitra, Javier Gonzalez-Castillo:
Efficacy of different dynamic functional connectivity methods to capture cognitively relevant information. NeuroImage 188: 502-514 (2019) - [c3]Charles Y. Zheng, Francisco Pereira, Chris I. Baker, Martin N. Hebart:
Revealing interpretable object representations from human behavior. ICLR (Poster) 2019 - [i6]Charles Y. Zheng, Francisco Pereira, Chris I. Baker, Martin N. Hebart:
Revealing interpretable object representations from human behavior. CoRR abs/1901.02915 (2019) - 2018
- [j3]Charles Y. Zheng, Rakesh Achanta, Yuval Benjamini:
Extrapolating Expected Accuracies for Large Multi-Class Problems. J. Mach. Learn. Res. 19: 65:1-65:30 (2018) - [c2]Patrick McClure, Charles Y. Zheng, Jakub Kaczmarzyk, John Rogers-Lee, Satrajit S. Ghosh, Dylan Nielson, Peter A. Bandettini, Francisco Pereira:
Distributed Weight Consolidation: A Brain Segmentation Case Study. NeurIPS 2018: 4097-4107 - [i5]Patrick McClure, Charles Y. Zheng, Francisco Pereira, Jakub Kaczmarzyk, John Rogers-Lee, Dylan Nielson, Peter A. Bandettini:
Parallel Weight Consolidation: A Brain Segmentation Case Study. CoRR abs/1805.10863 (2018) - [i4]Patrick McClure, Nao Rho, John A. Lee, Jakub R. Kaczmarzyk, Charles Y. Zheng, Satrajit S. Ghosh, Dylan Nielson, Adam G. Thomas, Peter A. Bandettini, Francisco Pereira:
Knowing what you know in brain segmentation using deep neural networks. CoRR abs/1812.01719 (2018) - 2017
- [i3]Charles Y. Zheng, Rakesh Achanta, Yuval Benjamini:
Extrapolating Expected Accuracies for Large Multi-Class Problems. CoRR abs/1712.09713 (2017) - 2016
- [i2]Charles Y. Zheng, Rakesh Achanta, Yuval Benjamini:
How many faces can be recognized? Performance extrapolation for multi-class classification. CoRR abs/1606.05228 (2016) - [i1]Charles Y. Zheng, Yuval Benjamini:
Estimating mutual information in high dimensions via classification error. CoRR abs/1606.05229 (2016) - 2015
- [j2]Buhong Zheng, Charles Zheng:
Fuzzy ranking of human development: A proposal. Math. Soc. Sci. 78: 39-47 (2015) - 2014
- [c1]Charles Y. Zheng, Franco Pestilli, Ariel Rokem:
Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain. NIPS 2014: 2699-2707 - 2011
- [j1]Benjamin A. Lewis, Rasna R. Walia, Michael Terribilini, Jeff Ferguson, Charles Zheng, Vasant G. Honavar, Drena Dobbs:
PRIDB: a protein-RNA interface database. Nucleic Acids Res. 39(Database-Issue): 277-282 (2011)
Coauthor Index
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