| 2026 | WACV | Quality-Driven and Diversity-Aware Sample Expansion for Robust Marine Obstacle Segmentation. | Miaohua Zhang, Mohammad Ali Armin, Xuesong Li, Sisi Liang, Lars Petersson, Changming Sun, David Ahmedt-Aristizabal, Zeeshan Hayder |
| 2024 | DICTA | 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 |
| 2024 | DICTA | Efficient Atmospheric Correction for Onboard Processing Using Knowledge Distillation and Model Compression. | Miaohua Zhang, Ali Cheraghian, Yi Qin, David Benn, Therese Rollan, Nariman Habili |
| 2023 | WACV | SSFE-Net: Self-Supervised Feature Enhancement for Ultra-Fine-Grained Few-Shot Class Incremental Learning. | Zicheng Pan, Xiaohan Yu, Miaohua Zhang, Yongsheng Gao |
| 2022 | ICASSP | A Generalized Kernel Risk Sensitive Loss for Robust Two-Dimensional Singular Value Decomposition. | Miaohua Zhang, Yongsheng Gao, Jun Zhou |
| 2021 | DICTA | Mask-Guided Feature Extraction and Augmentation for Ultra-Fine-Grained Visual Categorization. | Zicheng Pan, Xiaohan Yu, Miaohua Zhang, Yongsheng Gao |
| 2021 | DICTA | A Compositional Feature Embedding and Similarity Metric for Ultra-Fine-Grained Visual Categorization. | Yajie Sun, Miaohua Zhang, Xiaohan Yu, Yi Liao, Yongsheng Gao |
| 2019 | ICIP | Robust Sparse Learning Based on Kernel Non-Second Order Minimization. | Miaohua Zhang, Yongsheng Gao, Changming Sun, Michael Blumenstein |
| 2019 | ICIP | Kernel Mean P Power Error Loss for Robust Two-Dimensional Singular Value Decomposition. | Miaohua Zhang, Yongsheng Gao, Changming Sun, Michael Blumenstein |
| 2018 | ICIP | Matching Pursuit Based on Kernel Non-Second Order Minimization. | Miaohua Zhang, Yongsheng Gao, Changming Sun, Michael Blumenstein |
| 2016 | ICPR | Robust tensor factorization using maximum correntropy criterion. | Miaohua Zhang, Yongsheng Gao, Changming Sun, John La Salle, Junli Liang |