蒋庆堂 （Qingtang Jiang），男性，现任浙江师范大学数学科学学院教授、博士生导师。

他于北京大学获得博士学位，并曾在该校数学系先后担任讲师和副教授。2002年加入美国 University of Missouri-St. Louis（UMSL）之前，他曾在新加坡国立大学从事NSTB博士后等研究工作，并曾先后在加拿大  University of Alberta 和美国 West Virgina University 担任访问学者。2005年至2024年，他担任UMSL数学与计算机系的教授。目前，他是浙江师范大学的杰出教授。

蒋教授的研究领域包括：小波分析及其在图像恢复和信号分类中的应用；时频分析；稀疏数据表示；数学成像；以及近期的信号分解与混合信号分离、基于深度学习的视频识别和振动轴承故障诊断。他曾合著一部学术著作，并已发表九十余篇学术论文。多年来，他一直担任国际知名期刊《Applied and Computational Harmonic Analysis》以及《Frontiers in Applied Mathematics and Statistics--Mathematics of Computation and Data Science》的副主编。

当前研究方向：信号分离、图像恢复和基于深度学习的步态分析和机械振动数据处理。

近几年的部分学术论文

*--表示通讯作者 

Q. Snyder, Q.T. Jiang*, and E. Tripp, Integrating self-attention mechanisms in deep learning: A novel dual-head ensemble transformer with its application to bearing fault diagnosis, Signal Processing, vol. 227, 2025, 109683.

Z.H. Tu, J. Lu, H. Zhu, W. Hu, Q.T. Jiang, and M.K. Ng, Fully-connected tensor network decomposition and group sparsity for multitemporal images cloud removal, Inverse Problems and Imaging, vol. 19, no. 1, 2025, 59-86.

H.R. Dong, G. Yu, and Q.T. Jiang, Time-frequency-multisqueezing transform, IEEE Transactions on Industrial Electronics, vol. 71, no. 4, Apr. 2024, 4151-4161.

C.K. Chui, Q.T. Jiang, L. Li, and J. Lu, Analysis of a direct separation method based on adaptive chirplet transform for signals with crossover instantaneous frequencies, Applied and Computational Harmonic Analysis, vol. 62, Jan. 2023, 24-40.

S. Alfasly, C.K. Chui, Q.T. Jiang, J. Lu, and C. Xu, An effective video transformer with synchronized spatiotemporal and spatial self-attention for action recognition, IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 2, Jul. 2022, 2496-2509.

L. Li, Z.Y. Dong, Z.G. Zhu, and Q.T. Jiang, Deep hopping capture model for automatic modulation classification with extremely short data, IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 2, Jul. 2022, 772-783.

L. Li, X.R. Yu, Q.T. Jiang, and Bo Zang, Synchrosqueezing transform meets alpha-stable distribution:  An adaptive fractional lower-order SST for instantaneous frequency estimation and non-stationary signal recovery, Signal Processing, vol. 201, 2022, 108683.

J. Lu, C. Xu, Z. Hu, X. Liu, Q.T. Jiang, D. Meng, Z. Lin, A new nonlocal low-rank regularization method with applications to magnetic resonance image denoising, Inverse Problems, vol. 38, 2022, 065012.

L. Li, C.K. Chui, Q.T. Jiang, Direct signal separation via extraction of local frequencies with adaptive time-varying parameters, IEEE Transactions on Signal Processing, vol. 70, 2022, 2321-2333

L. Li, N.N. Han, Q.T. Jiang, and C.K. Chui, A chirplet transform-based mode retrieval method for multicomponent signals with crossover instantaneous frequencies, Digital Signal Processing, vol. 120, Jan. 2022, 103262.

C.K. Chui, Q.T. Jiang, L. Li, and J. Lu, Time-scale-chirp_rate operator for recovery of non-stationary signal components with crossover instantaneous frequency curves, Applied and Computational Harmonic Analysis, vol. 54, 2021, 323-344.

C.K. Chui, Q.T. Jiang, L. Li, and J. Lu, Analysis of an adaptive short-time Fourier transform-based multicomponent signal separation method derived from linear chirp local approximation, Journal of Computational and Applied Mathematics, vol. 396, 2021, 113607.

C.K. Chui, Q.T. Jiang, L. Li, and J. Lu, Signal separation based on adaptive continuous wavelet-like transform and analysis, Applied and Computational Harmonic Analysis, vol. 53, 2021, 151-179. (曾经是该期刊下载次数最多的文章之一)

H. Alkhidhr and Q.T. Jiang*, Correspondence between multiwavelet shrinkage and nonlinear diffusion, Journal of Computational and Applied Mathematics, vol. 382, 2021, 113074.

J. Lu, J.P. Tian, Q.T. Jiang, X.X. Liu, Z.W. Hua, and Y.R. Zou, Rician noise removal via weighted nuclear norm penalization, Applied and Computational Harmonic Analysis, vol. 53, 2021, 180-198.

H.Y. Cai, Q.T. Jiang*, L. Li, and B.W.  Suter, Analysis of adaptive short-time Fourier transform-based synchrosqueezing transform, Analysis and Applications, vol. 19, 2021, 71-105.

J. Lu, Q.T. Jiang* and L. Li, Analysis of adaptive synchrosqueezing transform with a time-varying parameter, Advances in Computational Mathematics, vol. 46, 2020, Article number: 72.

L. Li, H.Y. Cai and Q.T. Jiang*, Adaptive synchrosqueezing transform with a time-varying parameter for non-stationary signal separation, Applied and Computational Harmonic Analysis, vol. 49, 2020, 1075-1106. (曾经是该期刊被引用次数最多的文章之一)

L. Li, H.Y. Cai, H.X. Han, Q.T. Jiang*, and H.B. Ji, Adaptive short-time Fourier transform and synchrosqueezing transform for non-stationary signal separation, Signal Processing, vol. 166, 2020, 107231. (曾经是该期刊被引用次数最多的文章之一)

H.Y. Cai, B. Goggin, and Q.T. Jiang, A two-sample test based on classification, Statistical Analysis and Data Mining: The American Statistical Association Data Science Journal, vol. 13, 2020, 5-13. (曾经是该期刊下载次数最多的文章之一)

L. Li, H.Y. Cai, Q.T.  Jiang, and H.B.  Ji, An empirical signal separation algorithm based on linear time-frequency analysis, Mechanical Systems and Signal Proc., vol. 121, 2019, 791-809.

J. Lu, J.P. Tian, L.X. Shen, Q.T. Jiang, X.Y. Zeng, and Y.R. Zou, Rician noise removal via a learned dictionary, Mathematical Problems in Engineering, vol. 6, Feb. 2019, 1-13.

H.Y. Cai and Q.T. Jiang, A tree-based multiscale regression method for data with intrinsic low dimension, Frontiers in Appl Math & Statistics - Math of Computation and Data Science, vol. 4, 2018, Article 63.

Q.T. Jiang* and B.W. Suter, Instantaneous frequency estimation based on synchrosqueezing transform, Signal Processing, vol. 138, 2017, 167-181.

B. Dong, Q.T. Jiang, and Z.W.  Shen, Image restoration: Wavelet frame shrinkage, nonlinear evolution PDEs, and beyond, Multiscale Modeling & Simulation: A SIAM Interdisciplinary Journal, vol. 15, 2017, 606-660.