南京信息工程大学教授博导，近年来一直致力于分数域时频分析、稀疏信息处理、图信号处理、图神经网络方面的研究工作。曾入选全国博士后管委会“澳门青年学者计划”(全国30人/年)和江苏省高层次创新创业人才引进计划“双创博士”，2021年至2025年连续五年入选全球前2%顶尖科学家榜单。

现为中国数学会计算数学分会理事、江苏省数学学会常务理事、江苏省数学学会计算数学分会副理事长和江苏省工业与应用数学学会理事，担任《Electronics and Signal Processing》青年编委和美国《数学评论》特约评论员，曾担任The 7th International Conference on Information Communication and Signal Processing (ICICSP 2024)程序委员会联合主席，2023北京交叉科学大会分数阶变换、方程与信号处理前沿交叉论坛召集人，以及2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2023)领域主席。

代表性论著：

[11] Manjun Cui, Zhichao Zhang*, and Wei Yao, “Graph chirp signal and graph fractional vertex-frequency energy distribution,” IEEE Transactions on Signal Processing, In Press.

[10] Yangfan He and Zhichao Zhang*, “Symplectic Wigner distribution in the linear canonical transform domain: theory and application,” IEEE Transactions on Signal Processing, vol. 73, pp. 3688-3706, May 2025.

[9] Manjun Cui, Zhichao Zhang*, Jie Han, Yunjie Chen, and Chunzheng Cao, “Convolution type of metaplectic Cohen’s distribution time-frequency analysis theory, method and technology,” IEEE Transactions on Information Theory, vol. 71, no. 3, pp. 2292-2314, Mar. 2025.

[8] Manjun Cui, Zhichao Zhang*, Jie Han, Yunjie Chen, and Chunzheng Cao, “Generalized metaplectic convolution-based Cohen’s class time-frequency distribution: theory and application,” IEEE Open Journal of Signal Processing, vol. 6, pp. 348-368, Feb. 2025.

[7] Zhichao Zhang, Liang He, Dong Li*, Yangfan He*, and Weiguo Huang, “Cross metaplectic Wigner distribution: definition, properties, relation to short-time metaplectic transform, and uncertainty principles,” IEEE Transactions on Information Theory, vol. 70, no. 5, pp. 3788-3822, May 2024.

[6] Zhichao Zhang*, “Uncertainty principle for free metaplectic transformation,” Journal of Fourier Analysis and Applications, vol. 29, no. 6, Art. No. 71, Dec. 2023.

[5] Zhichao Zhang, Zhicheng Zhu, Dong Li*, and Yangfan He*, “Free metaplectic Wigner distribution: definition and Heisenberg’s uncertainty principles,” IEEE Transactions on Information Theory, vol. 69, no. 10, pp. 6787-6810, Oct. 2023.

[4] Zhichao Zhang, Dong Li*, Yangfan He*, Yunjie Chen, Jianwei Zhang, and Chengxi Zhou, “K-Wigner distribution: definition, uncertainty principles and time-frequency analysis,” IEEE Transactions on Information Theory, vol. 69, no. 4, pp. 2722-2736, Apr. 2023.

[3] Zhichao Zhang*, “Uncertainty principle of complex-valued functions in specific free metaplectic transformation domains,” Journal of Fourier Analysis and Applications, vol. 27, no. 4, Art. No. 68, Aug. 2021.

[2] Zhichao Zhang*, “Uncertainty principle for real functions in free metaplectic transformation domains,” Journal of Fourier Analysis and Applications, vol. 25, no. 6, pp. 2899-2922, Dec. 2019.

[1] Zhichao Zhang*, “Linear canonical Wigner distribution based noisy LFM signals detection through the output SNR improvement analysis,” IEEE Transactions on Signal Processing, vol. 67, no. 21, pp. 5527-5542, Nov. 2019.