| 2D feature selection by sparse matrix regression C Hou, Y Jiao, F Nie, T Luo, ZH Zhou IEEE Transactions on Image Processing 26 (9), 4255-4268, 2017 | 43 | 2017 |
| Dimension reduction for non-Gaussian data by adaptive discriminative analysis T Luo, C Hou, F Nie, D Yi IEEE transactions on cybernetics 49 (3), 933-946, 2018 | 42 | 2018 |
| Multi-view subspace learning via bidirectional sparsity R Fan, T Luo, W Zhuge, S Qiang, C Hou Pattern Recognition 108, 107524, 2020 | 35 | 2020 |
| Semi-supervised feature selection via insensitive sparse regression with application to video semantic recognition T Luo, C Hou, F Nie, H Tao, D Yi IEEE Transactions on Knowledge and Data Engineering 30 (10), 1943-1956, 2018 | 31 | 2018 |
| Rademacher dropout: An adaptive dropout for deep neural network via optimizing generalization gap H Wang, W Yang, Z Zhao, T Luo, J Wang, Y Tang Neurocomputing 357, 177-187, 2019 | 30 | 2019 |
| Functional annotation of human protein coding isoforms via non-convex multi-instance learning T Luo, W Zhang, S Qiu, Y Yang, D Yi, G Wang, J Ye, J Wang Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 26 | 2017 |
| Robust feature selection via simultaneous sapped norm and sparse regularizer minimization G Lan, C Hou, F Nie, T Luo, D Yi Neurocomputing 283, 228-240, 2018 | 24 | 2018 |
| Bi-direction hierarchical LSTM with spatial-temporal attention for action recognition H Yang, J Zhang, S Li, T Luo Journal of Intelligent & Fuzzy Systems 36 (1), 775-786, 2019 | 23 | 2019 |
| Discriminative orthogonal elastic preserving projections for classification T Luo, C Hou, D Yi, J Zhang Neurocomputing 179, 54-68, 2016 | 23 | 2016 |
| A unified deep sparse graph attention network for scene graph generation H Zhou, Y Yang, T Luo, J Zhang, S Li Pattern Recognition 123, 108367, 2022 | 15 | 2022 |
| A robust method for inferring network structures Y Yang, T Luo, Z Li, X Zhang, PS Yu Scientific Reports 7 (1), 5221, 2017 | 12 | 2017 |
| Joint representation learning and clustering: A framework for grouping partial multiview data W Zhuge, H Tao, T Luo, LL Zeng, C Hou, D Yi IEEE Transactions on Knowledge and Data Engineering 34 (8), 3826-3840, 2020 | 11 | 2020 |
| Multi-view spectral clustering with incomplete graphs W Zhuge, T Luo, H Tao, C Hou, D Yi IEEE Access 8, 99820-99831, 2020 | 11 | 2020 |
| Robust discriminative feature learning with calibrated data reconstruction and sparse low-rank model T Luo, Y Yang, D Yi, J Ye Applied Intelligence, 1-14, 2017 | 9 | 2017 |
| Active label distribution learning X Dong, S Gu, W Zhuge, T Luo, C Hou Neurocomputing 436, 12-21, 2021 | 8 | 2021 |
| Identifying genetic risk factors for Alzheimer's disease via shared tree-guided feature learning across multiple tasks W Zhang, T Luo, S Qiu, J Ye, D Cai, X He, J Wang IEEE Transactions on Knowledge and Data Engineering 30 (11), 2145-2156, 2018 | 7 | 2018 |
| Safe incomplete label distribution learning J Zhang, H Tao, T Luo, C Hou Pattern Recognition 125, 108518, 2022 | 5 | 2022 |
| Optimal representative distribution margin machine for multi-instance learning T Luan, T Luo, W Zhuge, C Hou IEEE Access 8, 74864-74874, 2020 | 5 | 2020 |
| Active label distribution learning via kernel maximum mean discrepancy X Dong, T Luo, R Fan, W Zhuge, C Hou Frontiers of Computer Science 17 (4), 174327, 2023 | 4 | 2023 |
| Speed up junction detector based on azimuth consensus by Harris corner L Tingjin, Z Jun, L Lin Optical Review 21, 135-142, 2014 | 4 | 2014 |
Chenping HouNational University of Defense TechnologyVerified email at nudt.edu.cn
