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20242026
most citedP-norm based Fractional-Order Robust Subband Adaptive Filtering Algorithm for Impulsive Noise and Noisy Input

1 citations · 3 across the 15 of their papers we have counts for

collaborators

11 papers

cs.LG2026

Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction

Yi Peng, Haiquan Zhao, Jinhui Hu

Most existing nonlinear adaptive filtering algorithms only account for output noise, neglecting the fact that input noise is also prevalent in practice. Although the recently propo…

math.OC2026

Convergence analysis of accelerated algorithms via a mixed-order dynamical system for separable nonsmooth convex optimization

Geng-Hua Li, Hai-Yi Zhao, Xiangkai Sun

For a linear equality constrained convex optimization problem involving two objective functions with a ``nonsmooth" + ``nonsmooth" composite structure, we study two algorithms deri…

eess.SP20261 cited

Robust distributed extended Kalman filter based on adaptive multi-kernel mixture maximum correntropy for non-Gaussian systems

Duc Viet Nguyen, Haiquan Zhao, Jinhui Hu +1

As one of the most advanced variants in the correntropy family, the multi-kernel correntropy criterion demonstrates superior accuracy in handling non-Gaussian noise, particularly w…

eess.SP20261 cited

P-norm based Fractional-Order Robust Subband Adaptive Filtering Algorithm for Impulsive Noise and Noisy Input

Jianhong Ye, Haiquan Zhao, Yi Peng

Building upon the mean p-power error (MPE) criterion, the normalized subband p-norm (NSPN) algorithm demonstrates superior robustness in -stable noise environments ($1 < α\leq 2…

eess.SP20251 cited

Distributed Cubature Kalman Filter based on MEEF with Adaptive Cauchy Kernel for State Estimation

Duc Viet Nguyen, Haiquan Zhao, Jinhui Hu

Nowadays, with the development of multi-sensor networks, the distributed cubature Kalman filter is one of the well-known existing schemes for state estimation, for which the influe…

eess.SP2025

State-of-charge estimation of lithium-ion batteries using a tree seed and genetic algorithm-optimized generalized mixture minimum error entropy-based square root cubature Kalman filter

Haiquan Zhao, Xiong Yin, Jinhui Hu

The cubature Kalman filter based on minimum error entropy (MEE-CKF) offers accurate and robust performance in state of charge (SOC) estimation. However, due to the inflexibility of…