Dimension Reduction via Gaussian Ridge Functions. - Pranay Seshadri; Henry Shaowu Yuchi; Geoffrey T. Parks (SIAM/ASA J. Uncertain. Quantification, 2019)

Adversarial Anomaly Detection for Marked Spatio-Temporal Streaming Data. - Shixiang Zhu; Henry Shaowu Yuchi; Yao Xie 002 (ICASSP, 2020)

Sequential Adversarial Anomaly Detection with Deep Fourier Kernel. - Shixiang Zhu; Henry Shaowu Yuchi; Minghe Zhang; Yao Xie 002 (ICASSP, 2021)

Harvesting data revolution for transmission electron microscopy (TEM) using signal processing. - Shixiang Zhu; Sven P. Voigt; Henry Shaowu Yuchi; Jordan Key; Yao Xie 002; Josh Kacher; Surya R. Kalidindi (CoRR, 2021)

In Situ Transmission Electron Microscopy: Signal processing challenges and examples. - Josh Kacher; Yao Xie 002; Sven P. Voigt; Shixiang Zhu; Henry Shaowu Yuchi; Jordan Key; Surya R. Kalidindi (IEEE Signal Process. Mag., 2022)

Streaming Low-Rank Matrix Data Assimilation and Change Identification. - Henry Shaowu Yuchi; Matthew Repasky; Terry Ma; Yao Xie 002 (ACSSC, 2023)

Mobile Internet Quality Estimation using Self-Tuning Kernel Regression. - Hanyang Jiang; Henry Shaowu Yuchi; Elizabeth M. Belding; Ellen Zegura; Yao Xie 002 (CoRR, 2023)

Conglomerate Multi-fidelity Gaussian Process Modeling, with Application to Heavy-Ion Collisions. - Yi Ji; Henry Shaowu Yuchi; Derek Soeder; Jean-François Paquet; Steffen A. Bass; V. Roshan Joseph; C. F. Jeff Wu; Simon Mak (SIAM/ASA J. Uncertain. Quantification, 2024)

Discovering the Unknowns: A First Step. - V. Roshan Joseph; William E. Lewis; Henry Shaowu Yuchi; Kathryn A. Maupin (SIAM/ASA J. Uncertain. Quantification, 2024)

New Guassian Process Modeling for Low-Rank and Simulated Data. - Henry Shaowu Yuchi (2024)

New User Event Prediction Through the Lens of Causal Inference. - Henry Shaowu Yuchi; Shixiang Zhu; Li Dong; Yigit M. Arisoy; Matthew C. Spencer (AISTATS, 2025)

Scalable Gaussian Processes with Low-Rank Deep Kernel Decomposition. - Yunqin Zhu; Henry Shaowu Yuchi; Yao Xie 002 (CoRR, 2025)