| Image compressed sensing using convolutional neural network W Shi, F Jiang, S Liu, D Zhao IEEE Transactions on Image Processing 29, 375-388, 2019 | 286 | 2019 |
| An end-to-end compression framework based on convolutional neural networks F Jiang, W Tao, S Liu, J Ren, X Guo, D Zhao IEEE Transactions on Circuits and Systems for Video Technology 28 (10), 3007 …, 2017 | 277 | 2017 |
| Image inpainting with learnable bidirectional attention maps C Xie, S Liu, C Li, MM Cheng, W Zuo, X Liu, S Wen, E Ding Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 264 | 2019 |
| Medical image denoising using convolutional neural network: a residual learning approach W Jifara, F Jiang, S Rho, M Cheng, S Liu The Journal of Supercomputing 75, 704-718, 2019 | 225 | 2019 |
| Robust visual tracking based on online learning sparse representation S Zhang, H Yao, H Zhou, X Sun, S Liu Neurocomputing 100, 31-40, 2013 | 150 | 2013 |
| Scalable convolutional neural network for image compressed sensing W Shi, F Jiang, S Liu, D Zhao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 149 | 2019 |
| An image fragile watermark scheme based on chaotic image pattern and pixel-pairs SH Liu, HX Yao, W Gao, YL Liu Applied Mathematics and Computation 185 (2), 869-882, 2007 | 145 | 2007 |
| Medical image semantic segmentation based on deep learning F Jiang, A Grigorev, S Rho, Z Tian, YS Fu, W Jifara, K Adil, S Liu Neural Computing and Applications 29, 1257-1265, 2018 | 141 | 2018 |
| Dynamic background modeling and subtraction using spatio-temporal local binary patterns S Zhang, H Yao, S Liu 2008 15th IEEE International Conference on Image Processing, 1556-1559, 2008 | 133 | 2008 |
| Improved total variation based image compressive sensing recovery by nonlocal regularization J Zhang, S Liu, R Xiong, S Ma, D Zhao 2013 IEEE International symposium on circuits and systems (ISCAS), 2836-2839, 2013 | 132 | 2013 |
| ACDIN: Bridging the gap between artificial and real bearing damages for bearing fault diagnosis Y Chen, G Peng, C Xie, W Zhang, C Li, S Liu Neurocomputing 294, 61-71, 2018 | 114 | 2018 |
| Photo assessment based on computational visual attention model X Sun, H Yao, R Ji, S Liu Proceedings of the 17th ACM international conference on Multimedia, 541-544, 2009 | 114 | 2009 |
| Bearing fault diagnosis using fully-connected winner-take-all autoencoder C Li, WEI Zhang, G Peng, S Liu IEEE Access 6, 6103-6115, 2017 | 113 | 2017 |
| Recurrent neural network based classification of ECG signal features for obstruction of sleep apnea detection M Cheng, WJ Sori, F Jiang, A Khan, S Liu 2017 IEEE International Conference on Computational Science and Engineering …, 2017 | 90 | 2017 |
| Neural network based steganalysis in still images S Liu, H Yao, W Gao Proc. Int. Conf. on Multimedia and Expo, ICME2003 2, 509-512, 2003 | 89* | 2003 |
| View-based 3D object retrieval via multi-modal graph learning S Zhao, H Yao, Y Zhang, Y Wang, S Liu Signal Processing 112, 110-118, 2015 | 87 | 2015 |
| DFD-Net: lung cancer detection from denoised CT scan image using deep learning WJ Sori, J Feng, AW Godana, S Liu, DJ Gelmecha Frontiers of Computer Science 15, 1-13, 2021 | 85 | 2021 |
| A variable depth LSB data hiding technique in images SH Liu, TH Chen, HX Yao, W Gao Proceedings of 2004 International Conference on Machine Learning and …, 2004 | 81 | 2004 |
| Hyperspectral classification based on spectral–spatial convolutional neural networks C Chen, F Jiang, C Yang, S Rho, W Shen, S Liu, Z Liu Engineering Applications of Artificial Intelligence 68, 165-171, 2018 | 61 | 2018 |
| Multi-path convolutional neural network for lung cancer detection WJ Sori, J Feng, S Liu Multidimensional Systems and Signal Processing 30, 1749-1768, 2019 | 56 | 2019 |
Hongxun YaoHarbin Institute of Technology在 hit.edu.cn 的电子邮件经过验证
