Apply hyperanalytic shearlet transform to geometric separation. - Shuaiqi Liu 001; Shaohai Hu; Mingzhu Shi; Zhong Zhang 001; Shuang Liu 001 (EURASIP J. Adv. Signal Process., 2014)

Synthetic aperture radar image de-noising based on Shearlet transform using the context-based model. - Shuaiqi Liu 001; Mingzhu Shi; Shaohai Hu; Yang Xiao 004 (Phys. Commun., 2014)

Medical Image Fusion Based on Rolling Guidance Filter and Spiking Cortical Model. - Shuaiqi Liu 001; Jie Zhao 008; Mingzhu Shi (Comput. Math. Methods Medicine, 2015)

PSF Estimation via Gradient Cepstrum Analysis for Image Deblurring in Hybrid Sensor Network. - Mingzhu Shi; Shuaiqi Liu 001 (Int. J. Distributed Sens. Networks, 2015)

Medical image fusion based on improved sum-modified-Laplacian. - Shuaiqi Liu 001; Jie Zhao 008; Mingzhu Shi (Int. J. Imaging Syst. Technol., 2015)

Total variation image restoration using hyper-Laplacian prior with overlapping group sparsity. - Mingzhu Shi; Tingting Han 002; Shuaiqi Liu 001 (Signal Process., 2016)

DTI Image Denoising Based on Complex Shearlet Domain and Complex Diffusion Anisotropic Filtering. - Shuaiqi Liu 001; Pengfei Li; Ming Liu; Qi Hu; Mingzhu Shi; Jie Zhao 008 (CSPS, 2017)

Parameters Identification via Cepstrum Analysis for Mix Blurred Image. - Mingzhu Shi; Xianwei Gong (CSPS, 2017)

A novel local and nonlocal total variation combination method for image restoration in wireless sensor networks. - Mingzhu Shi; Liang Feng (EURASIP J. Wirel. Commun. Netw., 2017)

Image fusion based on complex-shearlet domain with guided filtering. - Shuaiqi Liu 001; Mingzhu Shi; Zhihui Zhu; Jie Zhao 008 (Multidimens. Syst. Signal Process., 2017)

Evaluation of Local Features Using Convolutional Neural Networks for Person Re-Identification. - Shuang Liu 001; Xiaolong Hao; Zhong Zhang 001; Mingzhu Shi (CSPS (2), 2018)

Virtual Samples for Cloud Classification via Supervised Learning. - Shuang Liu 001; Mei Li; Zhong Zhang 001; Mingzhu Shi; Xiaozhong Cao (CSPS (3), 2018)

Plug-and-Play Prior Based on Gaussian Mixture Model Learning for Image Restoration in Sensor Network. - Mingzhu Shi; Liang Feng (IEEE Access, 2018)

A Novel Gradient L0-Norm Regularization Image Restoration Method Based on Non-local Total Variation. - Mingzhu Shi (CSPS, 2019)

Patch-Based Nonlocal Adaptive Gradient Regularization for Image Restoration in Sensor Networks. - Mingzhu Shi (IEEE Access, 2019)

Effect of Comparative Feedback on Consumers' Energy-Saving Behavior: A College Dormitory Example. - Manzhi Liu; Liyuan Liu; Mengqian Shi; Gang He; Shiru Zhang; Mingzhu Shi; Yue Ren; Bowen Luan (IEEE Trans. Engineering Management, 2022)

GCPAN: an adaptive global cross-scale prior attention network for image super-resolution. - Mingzhu Shi; Siqi Kong; Bin Zao; Muxian Tan (Neural Comput. Appl., 2023)

BCSR: toward arbitrarily oriented text image super-resolution via adaptive Bezier curve network. - Mingzhu Shi; Muxian Tan; Siqi Kong; Bin Zao (EURASIP J. Adv. Signal Process., 2023)

A hierarchically sampling global sparse transformer in data stream mining for lightweight image restoration. - Mingzhu Shi; Bin Zao; Chao Wang; Muxian Tan; Siqi Kong; Shouju Liu (EURASIP J. Adv. Signal Process., 2023)

Frame as Video Clip: Proposal-Free Moment Retrieval by Semantic Aligned Frames. - Mingzhu Shi; Yuhao Su; Xinhui Lin; Bin Zao; Siqi Kong; Muxian Tan (IEEE Trans. Ind. Informatics, 2024)

Refine Outline First: Mask-Based Point-Image Model for Efficient Point Cloud Completion. - Yujiao Cai; Yuhao Su; Mingzhu Shi; Zijie Dai; Wenxin Zhang; Lei Liu (ICIC (2), 2025)

TPSC:Text-guided Parameter-Efficient Fine-Tuning Segmentation for object counting. - Mingzhu Shi; Xinhui Lin; Yujiao Cai; Lei Liu; Wenxin Zhang; Yuhao Su (Neurocomputing, 2025)

SEACount: Semantic-driven Exemplar query Attention framework for image boosting class-agnostic Counting in Internet of Things. - Xinhui Lin; Mingzhu Shi; Yuhao Su; Wenxin Zhang; Yujiao Cai; Lei Liu; Zhaowei Liu (Internet Things, 2025)