Weiwei Liu(刘威威)
Weiwei Liu(刘威威)
Professor, School of Computer Science, Wuhan University, China
Adresse e-mail validée de whu.edu.cn - Page d'accueil
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Large margin metric learning for multi-label prediction
W Liu, I Tsang
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
762015
An easy-to-hard learning paradigm for multiple classes and multiple labels
W Liu, IW Tsang, KR Müller
The Journal of Machine Learning Research 18, 2017
662017
Metric learning for multi-output tasks
W Liu, D Xu, IW Tsang, W Zhang
IEEE transactions on pattern analysis and machine intelligence 41 (2), 408-422, 2018
652018
Making decision trees feasible in ultrahigh feature and label dimensions
W Liu, IW Tsang
Journal of Machine Learning Research, 2017
652017
On the optimality of classifier chain for multi-label classification
W Liu, IW Tsang
Advances in Neural Information Processing Systems, 2015
592015
Multilabel prediction via cross-view search
X Shen, W Liu, IW Tsang, QS Sun, YS Ong
IEEE transactions on neural networks and learning systems 29 (9), 4324-4338, 2017
532017
Discrete network embedding
X Shen, S Pan, W Liu, YS Ong, QS Sun
Proceedings of the 27th International Joint Conference on Artificial …, 2018
402018
Multiview discrete hashing for scalable multimedia search
X Shen, F Shen, L Liu, YH Yuan, W Liu, QS Sun
ACM Transactions on Intelligent Systems and Technology (TIST) 9 (5), 1-21, 2018
382018
Compressed k-means for large-scale clustering
X Shen, W Liu, I Tsang, F Shen, QS Sun
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
382017
Discriminative and Correlative Partial Multi-Label Learning.
H Wang, W Liu, Y Zhao, C Zhang, T Hu, G Chen
IJCAI, 3691-3697, 2019
232019
Sparse embedded k-means clustering
W Liu, X Shen, IW Tsang
Proceedings of the 31st International Conference on Neural Information …, 2017
232017
Effectively predicting whether and when a topic will become prevalent in a social network
W Liu, ZH Deng, X Gong, F Jiang, IW Tsang
AAAI Conference on Artificial Intelligence (AAAI), 210-216, 2015
212015
Compact multi-label learning
X Shen, W Liu, I Tsang, QS Sun, YS Ong
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
172018
Mining top K spread sources for a specific topic and a given node
W Liu, ZH Deng, L Cao, X Xu, H Liu, X Gong
IEEE transactions on cybernetics 45 (11), 2472-2483, 2014
162014
Sparse perceptron decision tree for millions of dimensions
W Liu, I Tsang
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
142016
Hyperspectral Imagery Classification via Stochastic HHSVMs
W Liu, X Shen, B Du, IW Tsang, W Zhang, X Lin
IEEE Transactions on Image Processing 28 (2), 577-588, 2018
112018
Two-stage label embedding via neural factorization machine for multi-label classification
C Chen, H Wang, W Liu, X Zhao, T Hu, G Chen
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3304-3311, 2019
72019
Two-stage label embedding via neural factorization machine for multi-label classification
C Chen, H Wang, W Liu, X Zhao, T Hu, G Chen
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3304-3311, 2019
72019
Deep binary prototype multi-label learning
X Shen, W Liu, Y Luo, YS Ong, IW Tsang
Proceedings of the 27th International Joint Conference on Artificial …, 2018
62018
Ranking Preserving Nonnegative Matrix Factorization
J Wang, F Tian, W Liu, X Wang
Proceedings of the International Joint Conference on Artificial Intelligence, 2018
52018
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