Faculty Profile

Zhao Haiquan, PhD in Engineering, Professor, Senior Member of IEEE, Elsevier Highly Cited Scholar, Global Top 0.05% Scholar (ScholarGPS), Global Top 2% Scientist (Stanford), Academic and Technical Leader of Sichuan Province, Outstanding Expert with Outstanding Contributions in Sichuan Province, Winner of the Sichuan Province Outstanding Youth Fund, Distinguished Expert of the Haizhi Program of the Sichuan Association for Science and Technology, has published 290 SCI papers (including 130 IEEE journal papers), received seven provincial and ministerial awards including the First Prize of Natural Science from the Chinese Society of Automation, the Second Prize for Science and Technology Progress from the Ministry of Education, the China Railway Science and Technology Progress Award, and the Tang Lixin Outstanding Scholar Award. Also won 17 international academic awards, including the Young Scientist Award, Outstanding Contribution Award, and Best Paper Award. 

Prof. Zhao has served as an active reviewer for several IEEE Transactions, IET series, Signal Processing, and other international journals. And he was a handling editor of Signal Processing.

Research fields:

• Electrical engineering:

1）Power system frequency adaptive estimation

2)  State analysis of power system 

• Intelligent Signal Processing:

1)Adaptive filtering algorithm, adaptive network, information theoretical learning,adaptive Volterra filter, Kernel adaptive filter, and nonlinear system identification

2)Nonlinear active noise control,

3)Graph adaptive signal processing

Deap learning:

1)Broad learning system;

2)KalmanNet;

3)PINN.

Selected Publications:

[1]Haiquan Zhao*, Boyu Tian, Badong Chen,Robust Stable Iterated Unscented Kalman Filter Based on Maximum Correntropy Criterion, Automatica,142(2022),110410

[2]Haiquan Zhao*, Zian Cao,Robust Generalized Maximum Blake-ZissermanTotal Correntropy Adaptive Filter for GeneralizedGaussian Noise and Noisy Input, IEEE Trans. Syst. Man, Cybern. Syst.

[3]Haiquan Zhao*, Y. Gao and Y. Zhu, "Robust Subband Adaptive Filter Algorithms-Based Mixture Correntropy and Application to Acoustic Echo Cancellation," in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 31, pp. 1223-1233, 2023, doi: 10.1109/TASLP.2023.3250845.

[4]Haiquan Zhao*, Wang Xiang, Shaohui Lv, A Variable Parameter LMS Algorithm Based on Generalized Maximum Correntropy Criterion for Graph Signal Processing, IEEE Transactions on Signal and Information Processing over Networks

[5]Wenjing Xu; Haiquan Zhao*; Lijun Zhou, Modified Huber M-estimate Function-Based Distributed Constrained Adaptive Filtering Algorithm over Sensor Network,IEEE Sensors journal,

[6]G. Wang, Haiquan Zhao*, “Robust Adaptive Least Mean M-Estimate Algorithm for Censored Regression,” IEEE Trans. Syst. Man, Cybern. Syst., vol. 52, no. 8, pp. 5165-5174, Aug. 202.

[7]Y. Zhu, Haiquan Zhao*, X. He, Z. Shu, and B. Chen, “Cascaded Random Fourier Filter for Robust Nonlinear Active Noise Control,” IEEE/ACM Trans. Audio, Speech, Lang. Process., vol. 30, pp. 2188-2200, 2022

[8]Y. Zhu, Haiquan Zhao*,”Robust generalized maximum correntropy criterion algorithm for active noise control”, IEEE Transactions on Audio, Speech and Language Processing, vol. 28, no. Mcc, pp. 1282–1292, 2020

[9]L. Shi, Haiquan Zhao*, etc.Variable Step-Size Widely Linear Complex-Valued Affine Projection algorithm and Performance Analysis, IEEE Transactions on Signal Processing, vol. 68, pp. 5940–5953,2020

[10]C. Liu, Haiquan Zhao*,” Efficient DOA Estimation Method using Bias-compensated Adaptive Filtering, IEEE Transactions on Vehicular Technology, vol. 69, no. 11, pp. 13087–13097, 2020