| Bottom-up broadcast neural network for music genre classification C Liu, L Feng, G Liu, H Wang, S Liu Multimedia Tools and Applications 80, 7313-7331, 2021 | 121 | 2021 |
| Deep attention based music genre classification Y Yu, S Luo, S Liu, H Qiao, Y Liu, L Feng Neurocomputing 372, 84-91, 2020 | 87 | 2020 |
| Global correlation descriptor: a novel image representation for image retrieval L Feng, J Wu, S Liu, H Zhang Journal of Visual Communication and Image Representation 33, 104-114, 2015 | 63 | 2015 |
| Scatter balance: An angle-based supervised dimensionality reduction S Liu, L Feng, H Qiao IEEE transactions on neural networks and learning systems 26 (2), 277-289, 2014 | 52 | 2014 |
| Robust Activation Function and its application: Semi-supervised Kernel Extreme Learning Method LS Feng lin, Xiao Yao Neurocomputing 144, 318–328, 2014 | 43 | 2014 |
| Concept drift detection for data stream learning based on angle optimized global embedding and principal component analysis in sensor networks S Liu, L Feng, J Wu, G Hou, G Han Computers & Electrical Engineering 58, 327-336, 2017 | 41 | 2017 |
| Collision avoidance for mobile robots based on artificial potential field and obstacle envelope modelling Z Wu, G Hu, L Feng, J Wu, S Liu Assembly Automation 36 (3), 318-332, 2016 | 39 | 2016 |
| Efficient two-step networks for temporal action segmentation Y Li, Z Dong, K Liu, L Feng, L Hu, J Zhu, L Xu, S Liu Neurocomputing 454, 373-381, 2021 | 29 | 2021 |
| Perceptual uniform descriptor and ranking on manifold for image retrieval S Liu, J Wu, L Feng, H Qiao, Y Liu, W Luo, W Wang Information Sciences 424, 235-249, 2018 | 29 | 2018 |
| Multi-trend binary code descriptor: a novel local texture feature descriptor for image retrieval L Yu, L Feng, H Wang, L Li, Y Liu, S Liu Signal, Image and Video Processing 12, 247-254, 2018 | 26 | 2018 |
| Hand gesture recognition with leap motion Y Du, S Liu, L Feng, M Chen, J Wu arXiv preprint arXiv:1711.04293, 2017 | 26 | 2017 |
| Multi-view spectral clustering via robust local subspace learning L Feng, L Cai, Y Liu, S Liu soft computing 21 (8), 1937-1948, 2017 | 24 | 2017 |
| Multi-view laplacian eigenmaps based on bag-of-neighbors for RGB-D human emotion recognition S Liu, S Guo, W Wang, H Qiao, Y Wang, W Luo Information Sciences 509, 243-256, 2020 | 22 | 2020 |
| FSD-10: A fine-grained classification dataset for figure skating S Liu, X Liu, G Huang, H Qiao, L Hu, D Jiang, A Zhang, Y Liu, G Guo Neurocomputing 413, 360-367, 2020 | 20 | 2020 |
| Rough extreme learning machine: A new classification method based on uncertainty measure L Feng, S Xu, F Wang, S Liu, H Qiao Neurocomputing 325, 269-282, 2019 | 20 | 2019 |
| 一种基于稀疏嵌入分析的降维方法 闫德勤， 刘胜蓝， 李燕燕 自动化学报 37 (11), 1306-1312, 2011 | 19 | 2011 |
| Self-adaption neighborhood density clustering method for mixed data stream with concept drift S Xu, L Feng, S Liu, H Qiao Engineering Applications of Artificial Intelligence 89, 103451, 2020 | 18 | 2020 |
| Multi-view laplacian least squares for human emotion recognition S Guo, L Feng, ZB Feng, YH Li, Y Wang, SL Liu, H Qiao Neurocomputing 370, 78-87, 2019 | 18 | 2019 |
| Exploiting global and local features for image retrieval LI Li, L Feng, J Wu, M Sun, S Liu Journal of Central South University 25 (2), 259-276, 2018 | 15 | 2018 |
| Temporal segmentation of fine-gained semantic action: a motion-centered figure skating dataset S Liu, A Zhang, Y Li, J Zhou, L Xu, Z Dong, R Zhang Proceedings of the AAAI conference on artificial intelligence 35 (3), 2163-2171, 2021 | 14 | 2021 |
