Ji Zhao

According to our database, Ji Zhao authored at least 25 papers between 2017 and 2025.

Collaborative distances:

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

2025

Low-complexity recursive constrained maximum Versoria criterion adaptive filtering algorithm.

Ji Zhao, Lvyu Li, Qiang Li, Bo Li, Hongbin Zhang

Signal Process., 2025

2024

Affine Projection Algorithm With Outlier Detection for Robust Filtering.

Yunxian Hou, Guoliang Li, Huaiyuan Zhang, Hongbin Zhang, Ji Zhao

IEEE Trans. Circuits Syst. II Express Briefs, November, 2024

A Kernel Normalized Data-Reusing Generalized Maximum Correntropy Algorithm.

Ji Zhao, Yuzong Mu, Qiang Li, Lingli Tang, Hongbin Zhang

IEEE Trans. Circuits Syst. II Express Briefs, July, 2024

Evolving Order Based Affine Projection Sign Algorithm For Enhanced Adaptive Filtering.

Ji Zhao, Xia Ni, Qiang Li, Lingli Tang, Hongbin Zhang

IEEE Signal Process. Lett., 2024

2023

An Improved Affine Projection Sign Algorithm Based on Individual-Weighting Factors.

Xia Ni, Ji Zhao, Qiang Li, Lingli Tang, Hongbin Zhang

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Constraint-Forcing Recursive Generalized Maximum Correntropy Algorithm with Forgetting Factor for Adaptive Filtering.

Wenyue Li, Ji Zhao, Qiang Li, Lingli Tang, Hongbin Zhang

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Nonlinear Multiple-Delay Feedback Based Kernel Least Mean Square Algorithm.

Ji Zhao, Jiaming Liu, Qiang Li, Lingli Tang, Hongbin Zhang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Single Feedback Based Kernel Generalized Maximum Correntropy Adaptive Filtering Algorithm.

Jiaming Liu, Ji Zhao, Qiang Li, Lingli Tang, Hongbin Zhang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Recursive Constrained Maximum Versoria Criterion Algorithm for Adaptive Filtering.

Lvyu Li, Ji Zhao, Qiang Li, Lingli Tang, Hongbin Zhang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

Newton Recursion Based Random Data-Reusing Generalized Maximum Correntropy Criterion Adaptive Filtering Algorithm.

Ji Zhao, Yuzong Mu, Yanping Qiao, Qiang Li

Entropy, December, 2022

Recursive Maximum Correntropy Algorithms for Second-Order Volterra Filtering.

Ji Zhao, J. Andrew Zhang, Qiang Li, Hongbin Zhang, Xueyuan Wang

IEEE Trans. Circuits Syst. II Express Briefs, 2022

Recursive constrained generalized maximum correntropy algorithms for adaptive filtering.

Ji Zhao, J. Andrew Zhang, Qiang Li, Hongbin Zhang, Xueyuan Wang

Signal Process., 2022

Generalized correntropy induced metric based total least squares for sparse system identification.

Ji Zhao, J. Andrew Zhang, Hongbin Zhang, Qiang Li

Neurocomputing, 2022

2020

Projected Kernel Least Mean $p$ -Power Algorithm: Convergence Analyses and Modifications.

Ji Zhao, Hongbin Zhang, Gang Wang, Jian Andrew Zhang

IEEE Trans. Circuits Syst., 2020

Generalized Correntropy Induced Metric Memory-Improved Proportionate Affine Projection Sign Algorithm and Its Combination.

Guoliang Li, Hongbin Zhang, Ji Zhao

IEEE Trans. Circuits Syst. II Express Briefs, 2020

Modified Combined-Step-Size Affine Projection Sign Algorithms for Robust Adaptive Filtering in Impulsive Interference Environments.

Guoliang Li, Hongbin Zhang, Ji Zhao

Symmetry, 2020

Generalized maximum correntropy algorithm with affine projection for robust filtering under impulsive-noise environments.

Ji Zhao, Hongbin Zhang, J. Andrew Zhang

Signal Process., 2020

Gaussian kernel adaptive filters with adaptive kernel bandwidth.

Ji Zhao, Hongbin Zhang, J. Andrew Zhang

Signal Process., 2020

2019

Fixed-point generalized maximum correntropy: Convergence analysis and convex combination algorithms.

Ji Zhao, Hongbin Zhang, Gang Wang

Signal Process., 2019

Complex-valued Kalman filters based on Gaussian entropy.

Gang Wang, Shuzhi Sam Ge, Rui Xue, Ji Zhao, Chao Li

Signal Process., 2019

2018

Projected Kernel Recursive Maximum Correntropy.

Ji Zhao, Hongbin Zhang, Gang Wang

IEEE Trans. Circuits Syst. II Express Briefs, 2018

Switching criterion for sub-and super-Gaussian additive noise in adaptive filtering.

Gang Wang, Rui Xue, Ji Zhao

Signal Process., 2018

Variable learning rates kernel adaptive filter with single feedback.

Ji Zhao, Hongbin Zhang, Xiaofeng Liao

Digit. Signal Process., 2018

2017

Kernel Recursive Generalized Maximum Correntropy.

Ji Zhao, Hongbin Zhang

IEEE Signal Process. Lett., 2017

Projected Kernel Recursive Least Squares Algorithm.

Ji Zhao, Hongbin Zhang

Proceedings of the Neural Information Processing - 24th International Conference, 2017