| Biologically inspired blind quality assessment of tone-mapped images G Yue, C Hou, K Gu, S Mao, W Zhang IEEE Transactions on Industrial Electronics 65 (3), 2525-2536, 2017 | 69 | 2017 |
| Greedy optimization classifiers ensemble based on diversity S Mao, LC Jiao, L Xiong, S Gou Pattern Recognition 44 (6), 1245-1261, 2011 | 62 | 2011 |
| Weighted classifier ensemble based on quadratic form S Mao, L Jiao, L Xiong, S Gou, B Chen, SK Yeung Pattern Recognition 48 (5), 1688-1706, 2015 | 45 | 2015 |
| Maximizing diversity by transformed ensemble learning S Mao, JW Chen, L Jiao, S Gou, R Wang Applied Soft Computing 82, 105580, 2019 | 44 | 2019 |
| Self-paced feature attention fusion network for concealed object detection in millimeter-wave image X Wang, S Gou, J Li, Y Zhao, Z Liu, C Jiao, S Mao IEEE Transactions on Circuits and Systems for Video Technology 32 (1), 224-239, 2021 | 23 | 2021 |
| Classification method for fully PolSAR data based on three novel parameters S Zhang, S Wang, B Chen, S Mao IEEE Geoscience and remote sensing letters 11 (1), 39-43, 2013 | 14 | 2013 |
| Multi-scale fused SAR image registration based on deep forest S Mao, J Yang, S Gou, L Jiao, T Xiong, L Xiong Remote Sensing 13 (11), 2227, 2021 | 13 | 2021 |
| A novel Riemannian metric based on Riemannian structure and scaling information for fixed low-rank matrix completion S Mao, L Xiong, L Jiao, T Feng, SK Yeung IEEE Transactions on Cybernetics 47 (5), 1299-1312, 2016 | 13 | 2016 |
| Double linear regressions for single labeled image per person face recognition F Yin, LC Jiao, F Shang, L Xiong, S Mao Pattern recognition 47 (4), 1547-1558, 2014 | 13 | 2014 |
| Structured behaviour prediction of on‐road vehicles via deep forest L Mou, S Mao, H Xie, Y Chen Electronics Letters 55 (8), 452-455, 2019 | 12 | 2019 |
| Vision‐based vehicle behaviour analysis: a structured learning approach via convolutional neural networks L Mou, H Xie, S Mao, P Zhao, Y Chen IET Intelligent Transport Systems 14 (7), 792-801, 2020 | 11 | 2020 |
| A mask-guided transformer network with topic token for remote sensing image captioning Z Ren, S Gou, Z Guo, S Mao, R Li Remote Sensing 14 (12), 2939, 2022 | 10 | 2022 |
| End-to-end ensemble learning by exploiting the correlation between individuals and weights S Mao, W Lin, L Jiao, S Gou, JW Chen IEEE Transactions on Cybernetics 51 (5), 2835-2846, 2021 | 10 | 2021 |
| Weighted ensemble based on 0‐1 matrix decomposition S Mao, L Xiong, LC Jiao, S Zhang, B Chen Electronics Letters 49 (2), 116-118, 2013 | 10 | 2013 |
| Polarimetric SAR image classification via weighted ensemble based on 0-1 matrix decomposition C Bo, W Shuang, J Li-cheng, L Fang, M Sha-sha, Z Shuang 电子与信息学报 37 (6), 1495-1501, 2015 | 9 | 2015 |
| Using an equivalence-based approach to derive 2-D spectrum of BiSAR data and implementation into an RDA processor T Xiong, Y Li, Q Li, K Wu, L Zhang, Y Zhang, S Mao, L Han IEEE Transactions on Geoscience and Remote Sensing 59 (6), 4765-4774, 2020 | 6 | 2020 |
| Label Distribution Amendment with Emotional Semantic Correlations for Facial Expression Recognition S Mao, G Shi, L Jiao, S Gou, Y Li, L Xiong, B Shi https://arxiv.org/abs/2107.11061, 2021 | 5 | 2021 |
| A novel hybrid Freeman/eigenvalue decomposition with general scattering models 张爽， 王爽， 焦李成， 陈博， 刘芳， 毛莎莎， 柯熙政 Journal of Infrared and Millimeter Waves 34 (3), 265-270, 2015 | 5 | 2015 |
| Active learning based on coupled KNN pseudo pruning L Xiong, LC Jiao, S Mao, L Zhang Neural Computing and Applications 21, 1669-1686, 2012 | 5 | 2012 |
| Adaptively Enhancing Facial Expression Crucial Regions via a Local Non-local Joint Network G Shi, S Mao, S Gou, D Yan, L Jiao, L Xiong Machine Intelligence Research, 1-18, 2024 | 4 | 2024 |
Licheng JiaoDistinguished Professor of Xidian University, IEEE FellowVerified email at mail.xidian.edu.cn
