Tongliang Liu
Tongliang Liu
Lecturer (Assistant Professor) at University of Sydney and Visiting Scientist at RIKEN AIP
Verified email at sydney.edu.au - Homepage
Title
Cited by
Cited by
Year
Classification with noisy labels by importance reweighting
T Liu, D Tao
IEEE Transactions on pattern analysis and machine intelligence 38 (3), 447-461, 2016
3552016
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
1332016
On compressing deep models by low rank and sparse decomposition
X Yu, T Liu, X Wang, D Tao
CVPR, 7370-7379, 2017
1252017
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
1142015
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
1102017
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
1052017
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
1012014
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
982016
Spectral ensemble clustering
H Liu, T Liu, J Wu, D Tao, Y Fu
KDD, 715-724, 2015
922015
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
862015
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
782017
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
782015
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
712016
Multiple Kernel -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 42 (5), 1191-1204, 2019
612019
Large-cone nonnegative matrix factorization
T Liu, M Gong, D Tao
IEEE transactions on neural networks and learning systems 28 (9), 2129-2142, 2016
572016
Deep domain generalization via conditional invariant adversarial networks
Y Li, X Tian, M Gong, Y Liu, T Liu, K Zhang, D Tao
Proceedings of the European Conference on Computer Vision (ECCV), 624-639, 2018
552018
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
552016
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
482015
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
452017
Dimensionality-Dependent Generalization Bounds for K-Dimensional Coding Schemes
T Liu, D Tao, D Xu
Neural Computation 28 (10), 2213-2249, 2016
452016
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