Charles Zheng

Orcid: 0000-0003-3427-0845

Affiliations:
  • National Institute of Mental Health, Machine Learning Team, Bethesda, MD, USA
  • Stanford University, Department of Statistics, CA, USA (PhD 2017)


According to our database1, Charles Zheng authored at least 15 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Whole-brain multivariate hemodynamic deconvolution for functional MRI with stability selection.
Medical Image Anal., January, 2024

2022
Testing for context-dependent changes in neural encoding in naturalistic experiments.
CoRR, 2022

VICE: Variational Interpretable Concept Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2019
Efficacy of different dynamic functional connectivity methods to capture cognitively relevant information.
NeuroImage, 2019

Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural Networks.
Frontiers Neuroinformatics, 2019

Revealing interpretable object representations from human behavior.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Extrapolating Expected Accuracies for Large Multi-Class Problems.
J. Mach. Learn. Res., 2018

Knowing what you know in brain segmentation using deep neural networks.
CoRR, 2018

Parallel Weight Consolidation: A Brain Segmentation Case Study.
CoRR, 2018

Distributed Weight Consolidation: A Brain Segmentation Case Study.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016
Estimating mutual information in high dimensions via classification error.
CoRR, 2016

How many faces can be recognized? Performance extrapolation for multi-class classification.
CoRR, 2016

2015
Fuzzy ranking of human development: A proposal.
Math. Soc. Sci., 2015

2014
Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2011
PRIDB: a protein-RNA interface database.
Nucleic Acids Res., 2011


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