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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
882015
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
852018
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
792017
Making decision trees feasible in ultrahigh feature and label dimensions
W Liu, IW Tsang
Journal of Machine Learning Research, 2017
722017
On the optimality of classifier chain for multi-label classification
W Liu, I Tsang
Advances in Neural Information Processing Systems 28, 2015
672015
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
642017
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
582018
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
502017
Discrete network embedding
X Shen, S Pan, W Liu, YS Ong, QS Sun
Proceedings of the 27th International Joint Conference on Artificial …, 2018
492018
Discriminative and Correlative Partial Multi-Label Learning.
H Wang, W Liu, Y Zhao, C Zhang, T Hu, G Chen
IJCAI, 3691-3697, 2019
442019
The emerging trends of multi-label learning
W Liu, H Wang, X Shen, I Tsang
IEEE transactions on pattern analysis and machine intelligence, 2021
402021
A dynamic evolutionary clustering perspective: Community detection in signed networks by reconstructing neighbor sets
J Chen, H Wang, L Wang, W Liu
Physica A: Statistical Mechanics and its Applications 447, 482-492, 2016
362016
Sparse Embedded -Means Clustering
W Liu, X Shen, I Tsang
Advances in neural information processing systems 30, 2017
292017
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
272015
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
192018
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
172019
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
172019
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
162016
Collaboration based multi-label propagation for fraud detection
H Wang, Z Li, J Huang, P Hui, W Liu, T Hu, G Chen
Proceedings of the Twenty-Ninth International Conference on International …, 2021
142021
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