Publication

Journal Publications

• C.-H. Yang, H. Doss, and B. C. Vemuri. An Empirical Bayes Approach to Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices. Journal of the American Statistical Association 119, no. 545 (2024): 259–272.

• C.-H. Yang, and B. C. Vemuri. Nested Grassmannians for Dimensionality Reduction with Applications. Journal of Machine Learning for Biomedical Images (2022): 1–21.

• C.-H. Yang, J. V. Zidek, and S. W. K. Wong. Bayesian Analysis of Accumulated Damage Models in Lumber Reliability. Technometrics 61, no. 2 (2019): 233–245.

• P.-Y. Chen, C.-C. Chen, C.-H. Yang, S.-M. Chang, and K.-J. Lee. milr: Multiple-Instance Logistic Regression with Lasso Penalty. R Journal 9, no. 1 (2017): 446–457.

Conference Publications

• (with X. Fan and B. C. Vemuri) Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space @ NeurIPS (2023).

• (with J. J. Bouza and B. C. Vemuri) Geometric Deep Learning for Unsupervised Registration of Diffusion Magnetic Resonance Images @ IPMI (2023).

• (with X. Fan and B. C. Vemuri) Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design @ CVPR (2022).

• (with B. C. Vemuri) Nested Grassmanns for Dimensionality Reduction with Applications to Shape Analysis @ IPMI (2021).

• (with J. J. Bouza, D. Vaillancourt, and B. C. Vemuri) A Higher Order Manifold-Valued Convolutional Neural Network with Applications in Diffusion MRI Processing @ IPMI (2021).

• (with B. C. Vemuri) Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices with Applications to Neuroimaging @ IPMI (2019).

• (with R. Chakraborty, X. Zhen, M. Banerjee, D. Archer, D. Vaillancourt, V. Singh and B. C. Vemuri) A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices @ NeurIPS (2018).

• (with R. Chakraborty and B. C. Vemuri) A Mixture Model for Aggregation of Multiple Pre-trained Weak Classifiers @ CVPRW (2018).