Tongliang Liu
Tongliang Liu
The University of Sydney
Verified email at sydney.edu.au - Homepage
TitleCited byYear
Classification with noisy labels by importance reweighting
T Liu, D Tao
IEEE Transactions on pattern analysis and machine intelligence 38 (3), 447-461, 2015
2692015
Domain adaptation with conditional transferable components
M Gong, K Zhang, T Liu, D Tao, C Glymour, B Schölkopf
International conference on machine learning, 2839-2848, 2016
962016
Multiview matrix completion for multilabel image classification
Y Luo, T Liu, D Tao, C Xu
IEEE Transactions on Image Processing 24 (8), 2355-2368, 2015
942015
Decomposition-based transfer distance metric learning for image classification
Y Luo, T Liu, D Tao, C Xu
IEEE Trans. Image Processing 23 (9), 3789-3801, 2014
852014
Spectral ensemble clustering
H Liu, T Liu, J Wu, D Tao, Y Fu
KDD, 715-724, 2015
812015
Algorithm-dependent generalization bounds for multi-task learning
T Liu, D Tao, M Song, SJ Maybank
IEEE transactions on pattern analysis and machine intelligence 39 (2), 227-241, 2016
782016
On the performance of manhattan nonnegative matrix factorization
T Liu, D Tao
IEEE transactions on neural networks and learning systems 27 (9), 1851-1863, 2015
702015
Deformed graph Laplacian for semisupervised learning
C Gong, T Liu, D Tao, K Fu, E Tu, J Yang
IEEE transactions on neural networks and learning systems 26 (10), 2261-2274, 2015
672015
Fast supervised discrete hashing
J Gui, T Liu, Z Sun, D Tao, T Tan
IEEE transactions on pattern analysis and machine intelligence 40 (2), 490-496, 2017
662017
On compressing deep models by low rank and sparse decomposition
X Yu, T Liu, X Wang, D Tao
CVPR, 7370-7379, 2017
642017
dipIQ: Blind image quality assessment by learning-to-rank discriminable image pairs
K Ma, W Liu, T Liu, Z Wang, D Tao
IEEE Transactions on Image Processing 26 (8), 3951-3964, 2017
622017
Local rademacher complexity for multi-label learning
C Xu, T Liu, D Tao, C Xu
IEEE Transactions on Image Processing 25 (3), 1495-1507, 2016
612016
Spectral ensemble clustering via weighted k-means: Theoretical and practical evidence
H Liu, J Wu, T Liu, D Tao, Y Fu
IEEE transactions on knowledge and data engineering 29 (5), 1129-1143, 2017
532017
Large-cone nonnegative matrix factorization
T Liu, M Gong, D Tao
IEEE transactions on neural networks and learning systems 28 (9), 2129-2142, 2016
482016
Joint sparse representation and multitask learning for hyperspectral target detection
Y Zhang, B Du, L Zhang, T Liu
IEEE Transactions on Geoscience and Remote Sensing 55 (2), 894-906, 2016
402016
Dimensionality-Dependent Generalization Bounds for K-Dimensional Coding Schemes
T Liu, D Tao, D Xu
Neural Computation 28 (10), 2213-2249, 2016
372016
Elastic net hypergraph learning for image clustering and semi-supervised classification
Q Liu, Y Sun, C Wang, T Liu, D Tao
IEEE Transactions on Image Processing 26 (1), 452-463, 2016
342016
Representative vector machines: A unified framework for classical classifiers
J Gui, T Liu, D Tao, Z Sun, T Tan
IEEE transactions on cybernetics 46 (8), 1877-1888, 2015
342015
Multiple kernel k-means with incomplete kernels
X Liu, X Zhu, M Li, L Wang, E Zhu, T Liu, M Kloft, D Shen, J Yin, W Gao
IEEE transactions on pattern analysis and machine intelligence, 2019
312019
A regularization approach for instance-based superset label learning
C Gong, T Liu, Y Tang, J Yang, J Yang, D Tao
IEEE transactions on cybernetics 48 (3), 967-978, 2017
262017
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