LI Xiumei
| Address: | #2318 Rd. Yuhangtang Str. Cangqian |
|
| Yuhang District, Hangzhou, | ||
| Hangzhou Normal University, | ||
| Zhejiang, 311121, China | ||
| HP： | ＋86－13588469160 | |
| E-mail: | xiumei_li@hotmail.com | |
| Nationality: | P.R.C. | |
| Date of Birth: | 22/01/1978 | |
| Gender: | Female |
Education
| 03/2006 – 09/2009 | Ph.D., Major: Information Engineering, School of Electrical & Electronics Engineering, Nanyang Technological University, Singapore |
| 09/2002 – 07/2002 | M.S., Major: Signal and Information Processing, Institute of Acoustics, Chinese Academy of Sciences, China |
| 09/1995 – 07/1999 | B.S., Major: Radio physics, Department of Electronics and Information Engineering, Lanzhou University, China |
Work Experience
| 11/2010-present | Hangzhou Normal University, China (Associate Professor from 2012, Professor from Dec 2017. Associate Dean from 2017.) |
| 07/2002 – 03/2006 | Zhejiang University City College |
Research Interests
Compressive sensing, deep learning, time-frequency analysis
Research Projects (selected)
| 11/2024 – 11/2026: | Adaptive Algorithms for Integrating Compressive Sensing with Deep Learning, China-Croatia Bilateral Cooperation project. |
| 12/2024 – 11/2026: | Compressive sensing and neural networks using multiple sparsity basis with applications in multimedia, biomedicine and communications, China-Montenegro Bilateral Cooperation project. |
| 01/2016 – 12/2019: | Research on the mechanism and method of signal time-frequency representation reconstruction based on Bayesian compressive sensing, National Science Foundation of China. |
| 01/2012 – 12/2014: | Time-frequency concentration mechanism and improvement methods based on the Local polynomial Fourier transform, National Science Foundation of China. |
| 01/2015 – 12/2017: | Research on the mechanism and method of signal high time-frequency concentration representation based on compressive sensing, Zhejiang Province Natural Science Foundation |
| 06/2013 – 06/2014: | Time-frequency analysis based on the local polynomial Fourier transform, Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry, China. |
Publications(selected)
[1] Li Xiumei, Zhang Zhijie, Bai Huang*, Ljubisa Stankovic, Hao Junpeng, Sun Junmei, PIPO-Net: A Penalty-based Independent Parameters Optimization Deep Unfolding Network, vol. 229, 2025, 109796，Signal Processing.
[2] Zhijie Zhang, Huang Bai, Ljubisa Stankovic, Fellow, IEEE, Junmei Sun, and Xiumei Li*, A Novel Transmission-Augmented Deep Unfolding Network With Consideration of Residual Recovery, Complex and Intelligent System, vol. 11, no. 118, 2025.
[3] Hao Junpeng, Bai Huang, Li Xiumei*, Marvo Panic, Sun Junmei, PoP-CSNet: A Projected Landweber Optimization Based Progressive Deep Unfolding Network for Image Compressive Sensing Reconstruction, Accepted by Neurocomputing, 2025.
[4] Junmei Sun, Tianyang Wang, Meixi Wang, Xiumei Li*, Yingying Xu, Semi-Supervised Medical Image Segmentation Network 2 based on Mutual Learning, accepted by Medical Physics. 2024.
[5] Junmei Sun, Xin Zhang, Xiumei Li*, Ruyu Liu, Tianyang Wang, DARMF-UNet: A dual-branch attention-guided refinement network with multi-scale features fusion U-Net for gland segmentation, Computers in Biology and Medicine, vol. 163, 107218, 2023.
[6] Huang Bai, Ljubisa Stankovic, Xiumei Li*, Construction of Unit Norm Tight Frames Inspired by The Paulsen Problem, Digital Signal Processing, vol. 127, 103590, 2022.
[7] Huang Bai, Chuanrong Hong, Sheng Li, Yimin D. Zhang, Xiumei Li*, Unit-Norm Tight Frame-based Sparse Representation With Application to Speech Inpainting, Digital Signal Processing, vol. 123, 103426, 2022.
[8] Li Xiumei*, Wang Xianpeng, Qi Ronggang, Bi Guoan, Deriving Structures of FFT Based Filter Banks By Signal Flow Graphs, Digital Signal Processing, Vol. 117, 103136, 2021.
[9] Lifan Zhao, Xiumei Li*, Lu Wang, Guoan Bi, Computationally Efficient Wide-band DOA Estimation Methods Based on Sparse Bayesian Framework, IEEE Transactions on Vehicular Technology, vol. 66, no. 12, pp: 11108-11121, 2017.
[10] Zhao Lifan, Li Xiumei*, Wang Lu, Bi Guoan, Auto-Calibrated Sampling Rate Conversion In Frequency Domain, IEEE Signal Processing Magazine, vol. 34, Issue.3，pp. 101-106, 2017.
[11] Li Xiumei*, Huang Bai, Beiping Hou, A Gradient-based Approach to Optimization of Compressed Sensing Systems, Signal Processing 139C, pp. 49-61, 2017.
[12] Xianpeng Wang, Luyun Wang, Xiumei Li*, Guoan Bi, Nuclear Norm Minimization Framework for DOA Estimation in MIMO Radar，Signal Processing, vol. 135, pp. 147–152, 2017.
Book
An Interactive Multimedia Introduction to Signal Processing (2nd version), Springer. Translated into Chinese by Xiumei Li, Yong Xiao, and Guoan Bi, published in Dec. 2008.（The original version achieved the “Excellent education software award in Germany” in 2003）