Jocelyn T. Chi

According to our database, Jocelyn T. Chi authored at least 8 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Linear Discriminant Analysis with the Randomized Kaczmarz Method.

Jocelyn T. Chi, Deanna Needell

SIAM J. Matrix Anal. Appl., 2025

Simulation-based machine learning for real-time assessment of side-branch hemodynamics in coronary bifurcation lesions.

Arash Ghorbannia, Cyrus Tanade, Ayman Yousef, Nusrat Sadia Khan, Madhurima Vardhan, Jocelyn T. Chi, Sayan Roychowdhury, Arpita Das, Jane A. Leopold, Eric C. Chi, Amanda Randles

Int. J. High Perform. Comput. Appl., 2025

2022

A User-Friendly Computational Framework for Robust Structured Regression with the L₂ Criterion.

Jocelyn T. Chi, Eric C. Chi

J. Comput. Graph. Stat., October, 2022

Population-Based Hierarchical Non-Negative Matrix Factorization for Survey Data.

Xiaofu Ding, Xinyu Dong, Olivia McGough, Chenxin Shen, Annie Ulichney, Ruiyao Xu, William Swartworth, Jocelyn T. Chi, Deanna Needell

Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022

2021

Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization.

Jing Qin, Harlin Lee, Jocelyn T. Chi, Lucas Drumetz, Jocelyn Chanussot, Yifei Lou, Andrea L. Bertozzi

IEEE Trans. Geosci. Remote. Sens., 2021

2020

Multiplicative Perturbation Bounds for Multivariate Multiple Linear Regression in Schatten p-Norms.

Jocelyn T. Chi, Ilse C. F. Ipsen

CoRR, 2020

2019

Fast Blind Hyperspectral Unmixing Based On Graph Laplacian.

Jing Qin, Harlin Lee, Jocelyn T. Chi, Yifei Lou, Jocelyn Chanussot, Andrea L. Bertozzi

Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

2018

Randomized Least Squares Regression: Combining Model- and Algorithm-Induced Uncertainties.

Jocelyn T. Chi, Ilse C. F. Ipsen

CoRR, 2018