Wei Wang
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Unsupervised Metric Fusion by Cross Diffusion
B Wang, J Jiang, W Wang, ZH Zhou, Z Tu
IEEE Conference on Computer Vision and Pattern Recognition, 2997-3004, 2012
233*2012
Analyzing co-training style algorithms
W Wang, ZH Zhou
European conference on machine learning, 454-465, 2007
2072007
A new analysis of co-training
W Wang, ZH Zhou
ICML, 2010
1692010
On multi-view active learning and the combination with semi-supervised learning
W Wang, ZH Zhou
Proceedings of the 25th international conference on Machine learning, 1152-1159, 2008
752008
Multi-View Active Learning in the Non-Realizable Case
W Wang, ZH Zhou
Advances in Neural Information Processing Systems 24 (NIPS'10), 2388-2396, 2010
332010
Co-training with insufficient views
W Wang, ZH Zhou
Asian conference on machine learning, 467-482, 2013
322013
Crowdsourcing label quality: a theoretical analysis
W Wang, ZH Zhou
Science China Information Sciences 58 (11), 112103, 2015
172015
Learnability of multi-instance multi-label learning
W Wang, ZH Zhou
Chinese Science Bulletin 57 (19), 2488–2491, 2012
132012
Theoretical foundation of co-training and disagreement-based algorithms
W Wang, ZH Zhou
arXiv preprint arXiv:1708.04403, 2017
122017
Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing
W Wang, XY Guo, SY Li, Y Jiang, ZH Zhou
Proceedings of the 26th International Joint Conference on Artificial …, 2017
102017
Disagreement-based multi-system tracking
Q Li, X Wang, W Wang, Y Jiang, ZH Zhou, Z Tu
Asian Conference on Computer Vision, 320-334, 2012
102012
Exploiting remote learners in Internet environment with agents
M Li, W Wang, ZH Zhou
SCIENCE CHINA Information Sciences 53 (1), 64-76, 2010
32010
Coreset stochastic variance-reduced gradient with application to optimal margin distribution machine
ZH Tan, T Zhang, W Wang
Proceedings of the AAAI Conference on Artificial Intelligence 33, 5083-5090, 2019
12019
Towards making co-training suffer less from insufficient views
X Guo, W Wang
Frontiers of Computer Science 13 (1), 99-105, 2019
12019
Co-GCN for Multi-View Semi-Supervised Learning.
S Li, WT Li, W Wang
AAAI, 4691-4698, 2020
2020
Supplementary Materials for Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine
ZH Tan, T Zhang, W Wang
2019
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