| Accurate prediction scheme of water quality in smart mariculture with deep Bi-S-SRU learning network J Liu, C Yu, Z Hu, Y Zhao, Y Bai, M Xie, J Luo IEEE Access 8, 24784-24798, 2020 | 94 | 2020 |
| A method overview in smart aquaculture Z Hu, R Li, X Xia, C Yu, X Fan, Y Zhao Environmental Monitoring and Assessment 192, 1-25, 2020 | 83 | 2020 |
| Segmentation and measurement scheme for fish morphological features based on Mask R-CNN C Yu, X Fan, Z Hu, X Xia, Y Zhao, R Li, Y Bai Information Processing in Agriculture 7 (4), 523-534, 2020 | 65 | 2020 |
| Infrared small target detection based on multiscale local contrast learning networks C Yu, Y Liu, S Wu, Z Hu, X Xia, D Lan, X Liu Infrared Physics & Technology 123, 104107, 2022 | 38 | 2022 |
| Automatic and accurate prediction of key water quality parameters based on SRU deep learning in mariculture J Liu, C Yu, Z Hu, Y Zhao, X Xia, Z Tu, R Li 2018 IEEE International conference on advanced manufacturing (ICAM), 437-440, 2018 | 22 | 2018 |
| Pay attention to local contrast learning networks for infrared small target detection C Yu, Y Liu, S Wu, X Xia, Z Hu, D Lan, X Liu IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 18 | 2022 |
| Segmentation and density statistics of mariculture cages from remote sensing images using mask R-CNN C Yu, Z Hu, R Li, X Xia, Y Zhao, X Fan, Y Bai Information Processing in Agriculture 9 (3), 417-430, 2022 | 16 | 2022 |
| Intelligent measurement of morphological characteristics of fish using improved U-Net C Yu, Z Hu, B Han, P Wang, Y Zhao, H Wu Electronics 10 (12), 1426, 2021 | 14 | 2021 |
| An intelligent measurement scheme for basic characters of fish in smart aquaculture C Yu, Z Hu, B Han, Y Dai, Y Zhao, Y Deng Computers and Electronics in Agriculture 204, 107506, 2023 | 11 | 2023 |
| Multibranch feature difference learning network for cross-spectral image patch matching C Yu, Y Liu, C Li, L Qi, X Xia, T Liu, Z Hu IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022 | 10 | 2022 |
| Fish behavior tracking algorithm based on multi-domain deep convolutional neural network X Xia, Y Zhao, Z Hu, Z Wang, C Yu, Y Bai Proceedings of the 2019 4th International Conference on Multimedia Systems …, 2019 | 10 | 2019 |
| Feature Interaction Learning Network for Cross-Spectral Image Patch Matching C Yu, Y Liu, J Zhao, S Wu, Z Hu IEEE Transactions on Image Processing, 2023 | 5 | 2023 |
| Gradient-Guided Learning Network for Infrared Small Target Detection J Zhao, C Yu, Z Shi, Y Liu, Y Zhang IEEE Geoscience and Remote Sensing Letters, 2023 | 3 | 2023 |
| Precise and Fast Segmentation of Offshore Farms in High-Resolution SAR Images Based on Model Fusion and Half-Precision Parallel Inference C Yu, Y Liu, X Xia, D Lan, X Liu, S Wu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 3 | 2022 |
| Precise segmentation of remote sensing cage images based on SegNet and voting mechanism C Yu, Y Liu, X Xia, Z Hu, S Fu Applied Engineering in Agriculture 38 (3), 573-581, 2022 | 3 | 2022 |
| Precise segmentation and measurement of inclined fish’s features based on U-net and fish morphological characteristics C Yu, Y Liu, Z Hu, X Xia Applied Engineering in Agriculture 38 (1), 37-48, 2022 | 3 | 2022 |
| Efficient Feature Relation Learning Network for Cross-Spectral Image Patch Matching C Yu, J Zhao, Y Liu, S Wu, C Li IEEE Transactions on Geoscience and Remote Sensing, 2023 | 2 | 2023 |
| Accurate segmentation of remote sensing cages based on U-Net and voting mechanism C Yu, Y Liu, Z Hu, X Xia Seventh Asia Pacific Conference on Optics Manufacture and 2021 International …, 2022 | 2 | 2022 |
| Multi-Scale Direction-Aware Network for Infrared Small Target Detection J Zhao, Z Shi, C Yu, Y Liu arXiv preprint arXiv:2406.02037, 2024 | | 2024 |
| Relational Representation Learning Network for Cross-Spectral Image Patch Matching C Yu, Y Liu, J Zhao, D Quan, Z Shi arXiv preprint arXiv:2403.11751, 2024 | | 2024 |
