| Adaptive deep cascade broad learning system and its application in image denoising H Ye, H Li, CLP Chen IEEE transactions on cybernetics 51 (9), 4450-4463, 2020 | 78 | 2020 |
| A probabilistic learning algorithm for robust modeling using neural networks with random weights F Cao, H Ye, D Wang Information Sciences 313, 62-78, 2015 | 72 | 2015 |
| Recovering low-rank and sparse matrix based on the truncated nuclear norm F Cao, J Chen, H Ye, J Zhao, Z Zhou Neural Networks 85, 10-20, 2017 | 66 | 2017 |
| Multiscale fused network with additive channel–spatial attention for image segmentation C Gao, H Ye, F Cao, C Wen, Q Zhang, F Zhang Knowledge-Based Systems 214, 106754, 2021 | 65 | 2021 |
| A novel local–global graph convolutional method for point cloud semantic segmentation Z Du, H Ye, F Cao IEEE Transactions on Neural Networks and Learning Systems 35 (4), 4798-4812, 2022 | 60 | 2022 |
| Feature-grouped network with spectral–spatial connected attention for hyperspectral image classification W Guo, H Ye, F Cao IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2021 | 48 | 2021 |
| Deep multi-graph neural networks with attention fusion for recommendation Y Song, H Ye, M Li, F Cao Expert Systems with Applications 191, 116240, 2022 | 45 | 2022 |
| A novel method for hyperspectral image classification: Deep network with adaptive graph structure integration B Yang, F Cao, H Ye IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2022 | 33 | 2022 |
| A novel rank approximation method for mixture noise removal of hyperspectral images H Ye, H Li, B Yang, F Cao, Y Tang IEEE Transactions on Geoscience and Remote Sensing 57 (7), 4457-4469, 2019 | 30 | 2019 |
| Building feedforward neural networks with random weights for large scale datasets H Ye, F Cao, D Wang, H Li Expert Systems with Applications 106, 233-243, 2018 | 21 | 2018 |
| A hybrid regularization approach for random vector functional-link networks H Ye, F Cao, D Wang Expert Systems with Applications 140, 112912, 2020 | 19 | 2020 |
| A hybrid truncated norm regularization method for matrix completion H Ye, H Li, F Cao, L Zhang IEEE Transactions on Image Processing 28 (10), 5171-5186, 2019 | 16 | 2019 |
| A novel multi-discriminator deep network for image segmentation Y Wang, H Ye, F Cao Applied Intelligence 52 (1), 1092-1109, 2022 | 15 | 2022 |
| Node-personalized multi-graph convolutional networks for recommendation T Zhou, H Ye, F Cao Neural Networks 173, 106169, 2024 | 11 | 2024 |
| An iteration-based interactive attention network for 3D point cloud registration J Shi, H Ye, B Yang, F Cao Neurocomputing 560, 126822, 2023 | 10 | 2023 |
| A new deep graph attention approach with influence and preference relationship reconstruction for rate prediction recommendation H Ye, Y Song, M Li, F Cao Information Processing & Management 60 (5), 103439, 2023 | 9 | 2023 |
| GoLoG: Global-to-local decoupling graph network with joint optimization for hyperspectral image classification B Yang, H Ye, M Li, F Cao, S Pan IEEE Transactions on Geoscience and Remote Sensing 61, 1-14, 2023 | 8 | 2023 |
| Revisiting graph neural networks from hybrid regularized graph signal reconstruction J Miao, F Cao, H Ye, M Li, B Yang Neural Networks 157, 444-459, 2023 | 8 | 2023 |
| A novel method for image segmentation: two-stage decoding network with boundary attention F Cao, C Gao, H Ye International Journal of Machine Learning and Cybernetics, 1-13, 2022 | 8 | 2022 |
| A novel meta-learning framework: Multi-features adaptive aggregation method with information enhancer H Ye, Y Wang, F Cao Neural Networks 144, 755-765, 2021 | 8 | 2021 |
Ming LiProfessor, Zhejiang Normal Universityכתובת אימייל מאומתת בדומיין zjnu.edu.cn