Tongliang Liu
Tongliang Liu
University of Sydney and Visiting Scientist at RIKEN AIP
Dirección de correo verificada de sydney.edu.au - Página principal
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Classification with noisy labels by importance reweighting
T Liu, D Tao
IEEE Transactions on pattern analysis and machine intelligence 38 (3), 447-461, 2015
5612015
On compressing deep models by low rank and sparse decomposition
X Yu, T Liu, X Wang, D Tao
CVPR 2017, 7370-7379, 2017
2532017
Domain adaptation with conditional transferable components
M Gong, K Zhang, T Liu, D Tao, C Glymour, B Schölkopf
ICML 2016, 2839-2848, 2016
2492016
Deep domain generalization via conditional invariant adversarial networks
Y Li, X Tian, M Gong, Y Liu, T Liu, K Zhang, D Tao
ECCV 2018, 624-639, 2018
2272018
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
1852017
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
1842017
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
1832019
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
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
1252015
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
1232016
Spectral ensemble clustering
H Liu, T Liu, J Wu, D Tao, Y Fu
KDD 2015, 715-724, 2015
1172015
Are Anchor Points Really Indispensable in Label-Noise Learning?
X Xia, T Liu, N Wang, B Han, C Gong, G Niu, M Sugiyama
NeurIPS 2019, 6835--6846, 2019
1142019
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
1112015
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
1092014
Unsupervised semantic-preserving adversarial hashing for image search
C Deng, E Yang, T Liu, J Li, W Liu, D Tao
IEEE Transactions on Image Processing 28 (8), 4032-4044, 2019
1042019
Learning with biased complementary labels
X Yu, T Liu, M Gong, D Tao
ECCV 2018, 68-83, 2018
962018
Expressive power of parametrized quantum circuits
Y Du, MH Hsieh, T Liu, D Tao
Physical Review Research 2 (3), 033125, 2020
922020
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
862016
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
822015
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
782016
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