Weiwei Liu(刘威威)

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Ivor W. Tsang, IEEE FellowInaugural A*STAR AI Fellow and Director, Centre for Frontier AI Research, A*STARDirección de correo verificada de cfar.a-star.edu.sg
Xiaobo ShenNanjing University of Science and TechnologyDirección de correo verificada de njust.edu.cn
Yew-Soon OngPresident Chair Professor of Computer Science, A*Star AI Chief Scientist, FIEEEDirección de correo verificada de ntu.edu.sg
Wenjie ZhangProfessor of Computer Science and Engineering, University of New South WalesDirección de correo verificada de cse.unsw.edu.au
Fumin Shen (沈复民)University of Electronic Science and Technology of ChinaDirección de correo verificada de uestc.edu.cn
Zhi-Hong DengSchool of Intelligence Science and Technology, Peking UniversityDirección de correo verificada de pku.edu.cn
Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyDirección de correo verificada de tu-berlin.de
Xiao WangProfessor, Beihang UniversityDirección de correo verificada de buaa.edu.cn

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Weiwei Liu(刘威威)

Professor, School of Computer Science, Wuhan University, China

Dirección de correo verificada de whu.edu.cn - Página principal

Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	349	2021
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	238	2023
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	126	2018
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	114	2017
Large margin metric learning for multi-label prediction W Liu, I Tsang Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015	108	2015
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	100	2018
Making decision trees feasible in ultrahigh feature and label dimensions W Liu, IW Tsang Journal of Machine Learning Research 18 (81), 1-36, 2017	99	2017
Discriminative and Correlative Partial Multi-Label Learning. H Wang, W Liu, Y Zhao, C Zhang, T Hu, G Chen IJCAI, 3691-3697, 2019	95	2019
On the optimality of classifier chain for multi-label classification W Liu, I Tsang Advances in Neural Information Processing Systems 28, 2015	92	2015
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	84	2017
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	78	2017
Discrete network embedding X Shen, S Pan, W Liu, YS Ong, QS Sun 27th International Joint Conference on Artificial Intelligence (IJCAI), 2018	76	2018
Ddgr: Continual learning with deep diffusion-based generative replay R Gao, W Liu International Conference on Machine Learning, 10744-10763, 2023	58	2023
On the tradeoff between robustness and fairness X Ma, Z Wang, W Liu Advances in Neural Information Processing Systems 35, 26230-26241, 2022	49	2022
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	48	2019
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	48	2019
Sparse Embedded -Means Clustering W Liu, X Shen, I Tsang Advances in neural information processing systems 30, 2017	43	2017
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	43	2016
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	33	2015
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	31	2021

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