Circle Fitting Using a Virtual Source Localization Algorithm in Wireless Sensor Networks. - Junli Liang; Miaohua Zhang; Xianju Zeng; Kexin Zhao; Jian Li 001 (Int. J. Distributed Sens. Networks, 2013)

Robust Ellipse Fitting Based on Sparse Combination of Data Points. - Junli Liang; Miaohua Zhang; Ding Liu; Xianju Zeng; Ode Ojowu; Kexin Zhao; Zhan Li; Han Liu 007 (IEEE Trans. Image Process., 2013)

Distributed Dictionary Learning for Sparse Representation in Sensor Networks. - Junli Liang; Miaohua Zhang; Xianju Zeng; Guoyang Yu (IEEE Trans. Image Process., 2014)

Shape Fitting for the Shape Control System of Silicon Single Crystal Growth. - Junli Liang; Miaohua Zhang; Ding Liu; Wenyi Wang 003 (IEEE Trans. Ind. Informatics, 2015)

Robust tensor factorization using maximum correntropy criterion. - Miaohua Zhang; Yongsheng Gao 001; Changming Sun; John La Salle; Junli Liang (ICPR, 2016)

Matching Pursuit Based on Kernel Non-Second Order Minimization. - Miaohua Zhang; Yongsheng Gao 001; Changming Sun; Michael Blumenstein (ICIP, 2018)

Robust Sparse Learning Based on Kernel Non-Second Order Minimization. - Miaohua Zhang; Yongsheng Gao 001; Changming Sun; Michael Blumenstein (ICIP, 2019)

Kernel Mean P Power Error Loss for Robust Two-Dimensional Singular Value Decomposition. - Miaohua Zhang; Yongsheng Gao 001; Changming Sun; Michael Blumenstein (ICIP, 2019)

A Unified Weight Learning and Low-Rank Regression Model for Robust Face Recognition. - Miaohua Zhang; Yongsheng Gao 001; Fanhua Shang (CoRR, 2020)

A Generalized Kernel Risk Sensitive Loss for Robust Two-Dimensional Singular Value Decomposition. - Miaohua Zhang; Yongsheng Gao 001 (CoRR, 2020)

A robust matching pursuit algorithm using information theoretic learning. - Miaohua Zhang; Yongsheng Gao 001; Changming Sun; Michael Blumenstein (Pattern Recognit., 2020)

Mask-Guided Feature Extraction and Augmentation for Ultra-Fine-Grained Visual Categorization. - Zicheng Pan; Xiaohan Yu 001; Miaohua Zhang; Yongsheng Gao 001 (DICTA, 2021)

A Compositional Feature Embedding and Similarity Metric for Ultra-Fine-Grained Visual Categorization. - Yajie Sun; Miaohua Zhang; Xiaohan Yu 001; Yi Liao; Yongsheng Gao 001 (DICTA, 2021)

A unified weight learning and low-rank regression model for robust complex error modeling. - Miaohua Zhang; Yongsheng Gao 001; Jun Zhou 001 (Pattern Recognit., 2021)

A degradation model for simultaneous brightness and sharpness enhancement of low-light image. - Pengliang Li; Junli Liang; Miaohua Zhang (Signal Process., 2021)

Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy. - Miaohua Zhang; Yongsheng Gao 001; Changming Sun; Michael Blumenstein (IEEE Trans. Image Process., 2021)

A Generalized Kernel Risk Sensitive Loss for Robust Two-Dimensional Singular Value Decomposition. - Miaohua Zhang; Yongsheng Gao 001; Jun Zhou 001 (ICASSP, 2022)

Joint image denoising with gradient direction and edge-preserving regularization. - Pengliang Li; Junli Liang; Miaohua Zhang; Wen Fan 002; Guoyang Yu (Pattern Recognit., 2022)

SSFE-Net: Self-Supervised Feature Enhancement for Ultra-Fine-Grained Few-Shot Class Incremental Learning. - Zicheng Pan; Xiaohan Yu 001; Miaohua Zhang; Yongsheng Gao 001 (WACV, 2023)

Point-Supervised Seagrass Segmentation for 3D Underwater Habitat Mapping. - Miaohua Zhang; Rodrigo Santa Cruz; Yulia Arzhaeva; Xun Li; Brendan Do; Jeremy Oorloff; Mohammad Ali Armin; Zeeshan Hayder; David Ahmedt-Aristizabal (DICTA, 2024)

Efficient Atmospheric Correction for Onboard Processing Using Knowledge Distillation and Model Compression. - Miaohua Zhang; Ali Cheraghian; Yi Qin; David Benn; Therese Rollan; Nariman Habili (DICTA, 2024)

Plant Disease Detection Using Self-Supervised Learning: A Systematic Review. - Abdullah Al Mamun; David Ahmedt-Aristizabal; Miaohua Zhang; Md Ismail Hossen; Zeeshan Hayder; Mohammad Awrangjeb (IEEE Access, 2024)

Pseudo-set Frequency Refinement architecture for fine-grained few-shot class-incremental learning. - Zicheng Pan; Weichuan Zhang; Xiaohan Yu 001; Miaohua Zhang; Yongsheng Gao 001 (Pattern Recognit., 2024)

Video background extraction and moving object detection via conceptual beamforming algorithms. - Zhiwei Cheng; Junli Liang; Miaohua Zhang; Zhuo Sun; Hing Cheung So (Digit. Signal Process., 2025)

DyCR: A Dynamic Clustering and Recovering Network for Few-Shot Class-Incremental Learning. - Zicheng Pan; Xiaohan Yu 001; Miaohua Zhang; Weichuan Zhang; Yongsheng Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

ConMamba: Contrastive Vision Mamba for Plant Disease Detection. - Abdullah Al Mamun; Miaohua Zhang; David Ahmedt-Aristizabal; Zeeshan Hayder; Mohammad Awrangjeb (CoRR, 2025)