Weak in the NEES?: Auto-Tuning Kalman Filters with Bayesian Optimization. - Zhaozhong Chen; Christoffer Heckman; Simon Julier; Nisar R. Ahmed (FUSION, 2018)

Kalman Filter Tuning with Bayesian Optimization. - Zhaozhong Chen; Nisar R. Ahmed; Simon Julier; Christoffer Heckman (CoRR, 2019)

Time Dependence in Kalman Filter Tuning. - Zhaozhong Chen; Christoffer Heckman; Simon Julier; Nisar R. Ahmed (FUSION, 2021)

Robust Pose Estimation Based on Normalized Information Distance. - Zhaozhong Chen; Christoffer Heckman (IROS, 2021)

A Mixed Reality Supervision and Telepresence Interface for Outdoor Field Robotics. - Michael E. Walker; Zhaozhong Chen; Matthew Whitlock; David Blair; Danielle Albers Szafir; Christoffer Heckman; Daniel Szafir (IROS, 2021)

Advanced Digital Signal Processing for High-Capacity Mode-Division Multiplexed Free-Space Optical Communications. - Zhouyi Hu; Zhaozhong Chen; Yiming Li; David M. Benton; Abdallah A. I. Ali; Mohammed Patel; Martin P. J. Lavery; Andrew D. Ellis (ICTON, 2023)

Kalman Filter Auto-tuning through Enforcing Chi-Squared Normalized Error Distributions with Bayesian Optimization. - Zhaozhong Chen; Harel Biggie; Nisar R. Ahmed; Simon Julier; Christoffer Heckman (CoRR, 2023)

Kalman Filter Auto-Tuning With Consistent and Robust Bayesian Optimization. - Zhaozhong Chen; Harel Biggie; Nisar R. Ahmed; Simon Julier; Christoffer Heckman (IEEE Trans. Aerosp. Electron. Syst., 2024)