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张强强简介

2025年04月10日 20:17  点击:[]

导师姓名

张强强

性 别

出生年月

1990年07月

职 称

讲师,硕士生导师

毕业院校、专业

西南大学、计算机科学与技术

学历、学位

博士研究生、工学博士

社会兼职

中国计算机学会(CCF)会员

研究方向

自适应信号处理、机器学习、多智能体协同控制。

个人简历及

学术成果简介(代表性项目及成果、曾获奖励及荣誉等)

个人简介:

张强强,男,湖北黄冈人,博士,硕士生导师,CCF会员。2024年博士毕业于西南大学计算机科学与技术专业(硕博连读),获工学博士学位,现重庆大学博士后流动站进站研修学习。

主要研究方向为智能信息处理、机器学习和多智能体协同控制。近年来,已在IEEE Transactions on Signal Processing、IEEE/ACM Transactions on Audio, Speech, and Language Processing、IEEE Transactions on Aerospace and Electronic Systems、IEEE Transactions on Circuits and Systems I&II、IEEE Transactions on Instrumentation and Measurement、IEEE Transactions on Network Science and Engineering等高水平期刊上发表学术论文30余篇,其中以第一作者身份发表10篇。主持国家自然科学基金项目1项,校级高层次人才科研项目1项,参与国家及省部级项目3项。授权发明专利1项,多次参与信号处理领域学术会议,获得2023年ICDSP会议论文最佳演示奖。担任IEEE Transactions on Signal Processing、IEEE Transactions on Circuits and Systems II: Express Briefs、IEEE Signal Processing Letters等多个期刊审稿人。参与编写人工智能应用技术教材1部。

联系方式:zqq@sanxiau.edu.cn

科研项目

[1]国家自然科学基金-青年项目,62401089,增广空间核自适应滤波器及其稀疏化方法,2025.01-2027.12,30万,主持。

[2]重庆三峡学院高层次人才科研启动经费,基于联合优化的鲁棒自适应滤波算法研究,2025.01-,10万,主持。

[3]国家自然科学基金-面上项目,62071391,基于有限维特征空间的自适应子空间滤波器, 2021.01-2024.12, 55万,参与

[4]重庆市自然科学基金项目,cstc2020jcyj-msxmX0234,基于多目标优化的自适应滤波器,2020.07.01-2023.6.30,10万,参与。

[A5]重庆市教委科学技术研究项目,KJQN202300225,基于双光谱图像深度特征的红枣品质智能无损检测方法研究,2024.01.01-2027.01.01,4万,参与。

发表论文

[1]Q. Zhang,W. Feng, H. H. C. Iu, and S. Wang*, "Adaptive Filters With Robust Augmented Space Linear Model: A Weightedk-NN Method,"IEEE Transactions on Signal Processing, vol. 69, pp. 6448-6461, 2021.

[2]Q. Zhang,D. Lin, Y. Xiao, Y. Zheng, and S. Wang*, "Error Reused Filtered-X Least Mean Square Algorithm for Active Noise Control,"IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 32, pp. 397-412, 2024.

[3]Q. Zhang,D. Lin, Y.Xiao, and S. Wang*, "Augmented Least Lncosh Conjugate Gradient Adaptive Filtering,"IEEE Signal Processing Letters, vol. 30, pp. 718-722, 2023.

[4]Q. Zhang,S. Wang*, D. Lin, Y. Zheng, and C. K. Tse, "Robust Augmented Space Recursive Least-Constrained-Squares Algorithms,"Signal Processing, vol. 219, p. 109388, 2024.

[5] D. Lin,Q. Zhang,S. Chen, and S. Wang*, "Maximum Total Quaternion Correntropy for Adaptive Filtering,"IEEE Transactions on Signal Processing, vol. 70, pp. 4967-4980, 2022.

[6]Q. Zhang,S. Wang*, D. Lin, and S. Chen, "Robust Affine Projection Tanh Algorithm and Its Performance Analysis,"Signal Processing, vol. 202, p. 108749, 2023.

[7] D. Lin,Q. Zhang,X. Chen,and S. Wang*, "Maximum Correntropy Quaternion Kalman Filter,"IEEE Transactions on Signal Processing, vol. 71, pp. 2792-2803, 2023.

[8] D. Lin, S. Wang*,Q. Zhang,X. Chen,and C. K. Tse,"Adaptive Quaternion State Estimation for 3-D and 4-D Signals With Weighted Maximum Correntropy: A Widely Linear Approach,"IEEE Transactions on Aerospace and Electronic Systems, 2024.Early Access.

[9] Y. Xiao, S. Chen,Q. Zhang,D. Lin, M. Shen, J. Qian, S. Wang*, "Generalized Hyperbolic Tangent Based Random Fourier Conjugate Gradient Filter for Nonlinear Active Noise Control,"IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 31, pp. 619-632, 2023.

[10]Q.Zhang,C.Li*,Z.He,Y.Han,Fully"relative state constraint impulsive consensus of nonlinear multi-agent systems via state-dependent impulsive protocols",IET Control Theory & Applications.vol.15, no.2, pp.209-222,2021.

[11] Y. Xiao,Q.Zhang,Y. Zheng, J. Qian, and S.Wang*, "Clustering-Sparse Nyström Adaptive Filter-Based Nonlinear Distributed Active Noise Control System",IEEE Transactions on Circuits and Systems II: Express Briefs,vol. 71, no. 5, pp. 2864-2868,2024.

[12] S.Chen,Q.Zhang,T.Zhang,L.Zhang,L.Peng,S.Wang*,"Robust State Estimation With Maximum Correntropy Rotating Geometric Unscented Kalman Filter",IEEE Transactions on Instrumentation and Measurement,vol.71, p.2501714,2022.

[13] T. Zhou,S.Wang*, J. Qian, Y. Zheng,Q.Zhang,and Y. Xiao, "Gauss Hermite Fourier Features Based on Maximum Correntropy Criterion for Adaptive Filtering",IEEE Transactions on Circuits and Systems I: Regular Papers. 2024, Early Access.

[14]D.Lin,X.Chen, Y. Zheng,Z, Guo,Q.Zhang,and S.Wang*, "Quaternion Information Filters With Inaccurate Measurement Noise Covariance: A Variational Bayesian Method",IEEE Transactions on Signal Processing.vol. 73, pp. 1367-1378,2025.

[15]Q.Zhang,andWang Shiyuan*."Quantised kernel least mean square algorithm with a learning vector strategy",Electronics Letters.vol.56, no.21, pp.1146-11472020.

[16]P.Cai,D. Lin,Q.Zhang,J.Qian,Y. Zheng,and S.Wang*, "Distributed consensus-based extended Kalman filter for partial update",Engineering Applications of Artificial Intelligence.vol. 137, p. 109124,2024.

[17]C.Ke,C, Li*, andQ.Zhang, "Distributed Adaptive Fault-Tolerant Consensus of Nonlinear Multi-Agent Systems via State-Constraint Impulsive Protocols With Time-Delay",IEEE Transactions on Network Science and Engineering.vol. 7, pp. 3112-3121,2020.

[18]D.Lin,Q.Zhang,X, Chen, J.Qian,and S.Wang*, "Maximum Total Quaternion Generalized Correntropy Adaptive Filtering",IEEE Transactions on Circuits and Systems II: Express Briefs.vol. 71, no. 1, pp. 480-484,2024.

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