Tingjin Luo
Tingjin Luo
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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
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
Multi-view subspace learning via bidirectional sparsity
R Fan, T Luo, W Zhuge, S Qiang, C Hou
Pattern Recognition 108, 107524, 2020
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
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
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
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
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
Discriminative orthogonal elastic preserving projections for classification
T Luo, C Hou, D Yi, J Zhang
Neurocomputing 179, 54-68, 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
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
Multi-view spectral clustering with incomplete graphs
W Zhuge, T Luo, H Tao, C Hou, D Yi
IEEE Access 8, 99820-99831, 2020
A robust method for inferring network structures
Y Yang, T Luo, Z Li, X Zhang, PS Yu
Scientific Reports 7 (1), 5221, 2017
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
Active label distribution learning
X Dong, S Gu, W Zhuge, T Luo, C Hou
Neurocomputing 436, 12-21, 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
Debiased scene graph generation for dual imbalance learning
H Zhou, J Zhang, T Luo, Y Yang, J Lei
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4274-4288, 2022
Safe incomplete label distribution learning
J Zhang, H Tao, T Luo, C Hou
Pattern Recognition 125, 108518, 2022
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
Optimal representative distribution margin machine for multi-instance learning
T Luan, T Luo, W Zhuge, C Hou
IEEE Access 8, 74864-74874, 2020
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