Weiwei Liu(刘威威)
Weiwei Liu(刘威威)
Professor, School of Computer Science, Wuhan University, China
Verified email at whu.edu.cn - Homepage
Title
Cited by
Cited by
Year
Large margin metric learning for multi-label prediction
W Liu, IW Tsang
Twenty-ninth AAAI conference on artificial intelligence, 2015
792015
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
742018
An easy-to-hard learning paradigm for multiple classes and multiple labels
W Liu, IW Tsang, KR Müller
Journal of Machine Learning Research, 2017
742017
Making decision trees feasible in ultrahigh feature and label dimensions
W Liu, IW Tsang
Journal of Machine Learning Research, 2017
682017
On the optimality of classifier chain for multi-label classification
W Liu, IW Tsang
Advances in Neural Information Processing Systems, 2015
632015
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
622017
Compressed k-means for large-scale clustering
X Shen, W Liu, I Tsang, F Shen, QS Sun
Thirty-first AAAI conference on artificial intelligence, 2017
512017
Discrete network embedding
X Shen, S Pan, W Liu, YS Ong, QS Sun
Proceedings of the 27th International Joint Conference on Artificial …, 2018
482018
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
472018
Discriminative and Correlative Partial Multi-Label Learning.
H Wang, W Liu, Y Zhao, C Zhang, T Hu, G Chen
IJCAI, 3691-3697, 2019
322019
Sparse embedded k-means clustering
W Liu, X Shen, IW Tsang
Proceedings of the 31st International Conference on Neural Information …, 2017
272017
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
232015
Compact multi-label learning
X Shen, W Liu, IW Tsang, QS Sun, YS Ong
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
192018
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
172014
Sparse perceptron decision tree for millions of dimensions
W Liu, IW Tsang
Thirtieth AAAI Conference on Artificial Intelligence, 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
122018
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
102019
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
102019
The Emerging Trends of Multi-Label Learning
W Liu, X Shen, H Wang, IW Tsang
arXiv preprint arXiv:2011.11197, 2020
92020
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
82018
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