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ORCIDMingzhu Shi
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2020 – today
- 2023
[j14]Mingzhu Shi, Bin Zao, Chao Wang, Muxian Tan, Siqi Kong, Shouju Liu:
A hierarchically sampling global sparse transformer in data stream mining for lightweight image restoration. EURASIP J. Adv. Signal Process. 2023(1): 51 (2023)- [j13]Mingzhu Shi, Muxian Tan, Siqi Kong, Bin Zao:
BCSR: toward arbitrarily oriented text image super-resolution via adaptive Bezier curve network. EURASIP J. Adv. Signal Process. 2023(1): 82 (2023) - [j12]Mingzhu Shi, Siqi Kong, Bin Zao, Muxian Tan:
GCPAN: an adaptive global cross-scale prior attention network for image super-resolution. Neural Comput. Appl. 35(24): 17671-17688 (2023) - 2022
- [j11]Manzhi Liu
, Liyuan Liu, Mengqian Shi, Gang He, Shiru Zhang, Mingzhu Shi, Yue Ren, Bowen Luan:
Effect of Comparative Feedback on Consumers' Energy-Saving Behavior: A College Dormitory Example. IEEE Trans. Engineering Management 69(3): 589-601 (2022)
2010 – 2019
- 2019
- [j10]Mingzhu Shi:
Patch-Based Nonlocal Adaptive Gradient Regularization for Image Restoration in Sensor Networks. IEEE Access 7: 181778-181788 (2019) - [c5]Mingzhu Shi:
A Novel Gradient L0-Norm Regularization Image Restoration Method Based on Non-local Total Variation. CSPS 2019: 487-493 - 2018
- [j9]Mingzhu Shi, Liang Feng:
Plug-and-Play Prior Based on Gaussian Mixture Model Learning for Image Restoration in Sensor Network. IEEE Access 6: 78113-78122 (2018) - [c4]Shuang Liu, Mei Li, Zhong Zhang, Mingzhu Shi, Xiaozhong Cao:
Virtual Samples for Cloud Classification via Supervised Learning. CSPS (3) 2018: 80-86 - [c3]Shuang Liu, Xiaolong Hao, Zhong Zhang, Mingzhu Shi:
Evaluation of Local Features Using Convolutional Neural Networks for Person Re-Identification. CSPS (2) 2018: 890-897 - 2017
- [j8]Mingzhu Shi, Liang Feng:
A novel local and nonlocal total variation combination method for image restoration in wireless sensor networks. EURASIP J. Wirel. Commun. Netw. 2017: 167 (2017) - [j7]Shuaiqi Liu, Mingzhu Shi, Zhihui Zhu, Jie Zhao:
Image fusion based on complex-shearlet domain with guided filtering. Multidimens. Syst. Signal Process. 28(1): 207-224 (2017) - [c2]Shuaiqi Liu, Pengfei Li, Ming Liu, Qi Hu, Mingzhu Shi, Jie Zhao:
DTI Image Denoising Based on Complex Shearlet Domain and Complex Diffusion Anisotropic Filtering. CSPS 2017: 706-713 - [c1]Mingzhu Shi, Xianwei Gong:
Parameters Identification via Cepstrum Analysis for Mix Blurred Image. CSPS 2017: 1515-1521 - 2016
- [j6]Mingzhu Shi, Tingting Han, Shuaiqi Liu:
Total variation image restoration using hyper-Laplacian prior with overlapping group sparsity. Signal Process. 126: 65-76 (2016) - 2015
- [j5]Shuaiqi Liu, Jie Zhao, Mingzhu Shi:
Medical Image Fusion Based on Rolling Guidance Filter and Spiking Cortical Model. Comput. Math. Methods Medicine 2015: 156043:1-156043:9 (2015) - [j4]Mingzhu Shi, Shuaiqi Liu:
PSF Estimation via Gradient Cepstrum Analysis for Image Deblurring in Hybrid Sensor Network. Int. J. Distributed Sens. Networks 11: 758034:1-758034:11 (2015) - [j3]Shuaiqi Liu, Jie Zhao, Mingzhu Shi:
Medical image fusion based on improved sum-modified-Laplacian. Int. J. Imaging Syst. Technol. 25(3): 206-212 (2015) - 2014
- [j2]Shuaiqi Liu, Shaohai Hu, Mingzhu Shi, Zhong Zhang, Shuang Liu:
Apply hyperanalytic shearlet transform to geometric separation. EURASIP J. Adv. Signal Process. 2014: 63 (2014) - [j1]Shuaiqi Liu, Mingzhu Shi, Shaohai Hu, Yang Xiao:
Synthetic aperture radar image de-noising based on Shearlet transform using the context-based model. Phys. Commun. 13: 221-229 (2014)
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