PRIDB: a protein-RNA interface database. - Benjamin A. Lewis; Rasna R. Walia; Michael Terribilini; Jeff Ferguson; Charles Zheng 001; Vasant G. Honavar; Drena Dobbs (Nucleic Acids Res., 2011)

Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain. - Charles Y. Zheng; Franco Pestilli; Ariel Rokem (NIPS, 2014)

Fuzzy ranking of human development: A proposal. - Buhong Zheng; Charles Zheng 001 (Math. Soc. Sci., 2015)

How many faces can be recognized? Performance extrapolation for multi-class classification. - Charles Y. Zheng; Rakesh Achanta; Yuval Benjamini (CoRR, 2016)

Estimating mutual information in high dimensions via classification error. - Charles Y. Zheng; Yuval Benjamini (CoRR, 2016)

Distributed Weight Consolidation: A Brain Segmentation Case Study. - Patrick McClure; Charles Y. Zheng; Jakub Kaczmarzyk; John Rogers-Lee; Satrajit S. Ghosh; Dylan Nielson; Peter A. Bandettini; Francisco Pereira 001 (NeurIPS, 2018)

Parallel Weight Consolidation: A Brain Segmentation Case Study. - Patrick McClure; Charles Y. Zheng; Francisco Pereira 001; Jakub Kaczmarzyk; John Rogers-Lee; Dylan Nielson; Peter A. Bandettini (CoRR, 2018)

Knowing what you know in brain segmentation using deep neural networks. - 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 001 (CoRR, 2018)

Extrapolating Expected Accuracies for Large Multi-Class Problems. - Charles Y. Zheng; Rakesh Achanta; Yuval Benjamini (J. Mach. Learn. Res., 2018)

Revealing interpretable object representations from human behavior. - Charles Y. Zheng; Francisco Pereira 001; Chris I. Baker; Martin N. Hebart (ICLR (Poster), 2019)

Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural Networks. - 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 001 (Frontiers Neuroinformatics, 2019)

Efficacy of different dynamic functional connectivity methods to capture cognitively relevant information. - Hua Xie; Charles Y. Zheng; Daniel A. Handwerker; Peter A. Bandettini; Vince D. Calhoun; Sunanda Mitra; Javier Gonzalez-Castillo (NeuroImage, 2019)

VICE: Variational Interpretable Concept Embeddings. - Lukas Muttenthaler; Charles Y. Zheng; Patrick McClure; Robert A. Vandermeulen; Martin N. Hebart; Francisco Pereira 001 (NeurIPS, 2022)

Testing for context-dependent changes in neural encoding in naturalistic experiments. - Yenho Chen; Carl W. Harris; Xiaoyu Ma; Zheng Li; Francisco Pereira 001; Charles Y. Zheng (CoRR, 2022)

Whole-brain multivariate hemodynamic deconvolution for functional MRI with stability selection. - Eneko Uruñuela; Javier Gonzalez-Castillo; Charles Zheng 001; Peter A. Bandettini; César Caballero-Gaudes (Medical Image Anal., 2024)