Follow
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
The emerging trends of multi-label learning
W Liu, H Wang, X Shen, IW Tsang
IEEE transactions on pattern analysis and machine intelligence 44 (11), 7955 …, 2021
2552021
Better diffusion models further improve adversarial training
Z Wang, T Pang, C Du, M Lin, W Liu, S Yan
International Conference on Machine Learning, 36246-36263, 2023
1322023
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
1192018
An easy-to-hard learning paradigm for multiple classes and multiple labels
W Liu, IW Tsang, M Klaus-Robert
Journal of Machine Learning Research 18 (94), 1-38, 2017
1082017
Large margin metric learning for multi-label prediction
W Liu, I Tsang
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
1042015
Making decision trees feasible in ultrahigh feature and label dimensions
W Liu, IW Tsang
Journal of Machine Learning Research 18 (81), 1-36, 2017
922017
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
912018
Discriminative and Correlative Partial Multi-Label Learning.
H Wang, W Liu, Y Zhao, C Zhang, T Hu, G Chen
IJCAI, 3691-3697, 2019
862019
On the optimality of classifier chain for multi-label classification
W Liu, I Tsang
Advances in Neural Information Processing Systems 28, 2015
852015
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
792017
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
782017
Discrete network embedding
X Shen, S Pan, W Liu, YS Ong, QS Sun
Proceedings of the 27th International Joint Conference on Artificial …, 2018
742018
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
422019
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
422019
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
422016
Sparse Embedded -Means Clustering
W Liu, X Shen, I Tsang
Advances in neural information processing systems 30, 2017
402017
On the tradeoff between robustness and fairness
X Ma, Z Wang, W Liu
Advances in Neural Information Processing Systems 35, 26230-26241, 2022
352022
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
332015
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
282021
Social Trust Network Embedding
P Xu, W Hu, J Wu, W Liu, B Du, J Yang
2019 IEEE International Conference on Data Mining (ICDM), 678-687, 2019
262019
The system can't perform the operation now. Try again later.
Articles 1–20