A Gaussian-inverse Gamma mixture Distributions and Expectation-Maximization Based Robust Kalman Filter. - Hongpo Fu; Yongmei Cheng; Cheng Cheng (FUSION, 2021)

Switching Gaussian-heavy-tailed distribution based robust Gaussian approximate filter for INS/GNSS integration. - Hongpo Fu; Yongmei Cheng (J. Frankl. Inst., 2022)

A novel switching Gaussian-heavy-tailed distribution based robust fixed-interval smoother. - Hongpo Fu; Yongmei Cheng (Signal Process., 2022)

A Novel Robust Kalman Filter Based on Switching Gaussian-Heavy-Tailed Distribution. - Hongpo Fu; Yongmei Cheng (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

A Computationally Efficient Robust Cubature Kalman Filter With Multivariate Laplace Distribution. - Hongpo Fu; Yongmei Cheng (IEEE Trans. Instrum. Meas., 2023)

Robust Cubature Kalman Filter With Gaussian-Multivariate Laplacian Mixture Distribution and Partial Variational Bayesian Method. - Hongpo Fu; Wei Huang; Zhenwei Li; Yongmei Cheng; Tianyi Zhang (IEEE Trans. Signal Process., 2023)

Variational adaptive Kalman filter for unknown measurement loss and inaccurate noise statistics. - Hongpo Fu; Yongmei Cheng (Signal Process., 2023)

Variational robust filter for a class of stochastic systems with false and missing measurements. - Shaohua Yang; Hongpo Fu (J. Frankl. Inst., 2024)

Variational Bayesian based robust nonlinear filter for systems with unknown measurement loss and multi-step delay. - Zhaoxu Tian; Hongpo Fu; Yongmei Cheng (Signal Process., 2025)