Yu-Feng Li
Yu-Feng Li
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Titre
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Année
Multi-instance multi-label learning
ZH Zhou, ML Zhang, SJ Huang, YF Li
Artificial Intelligence, 2012
810*2012
Multi-instance learning by treating instances as non-iid samples
ZH Zhou, YY Sun, YF Li
Proceedings of the 26th annual international conference on machine learning …, 2009
4042009
Towards making unlabeled data never hurt
YF Li, ZH Zhou
IEEE transactions on pattern analysis and machine intelligence 37 (1), 175-188, 2014
2682014
Nyström method vs random fourier features: A theoretical and empirical comparison
T Yang, YF Li, M Mahdavi, R Jin, ZH Zhou
Advances in neural information processing systems, 476-484, 2012
2682012
Towards making unlabeled data never hurt
YF Li, ZH Zhou
Proceedings of the twenty eighth international conference on machine …, 2011
2682011
Tighter and convex maximum margin clustering
YF Li, IW Tsang, J Kwok, ZH Zhou
Artificial Intelligence and Statistics, 344-351, 2009
1432009
Semi-supervised learning using label mean
YF Li, JT Kwok, ZH Zhou
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
1072009
Convex and scalable weakly labeled SVMs
YF Li, IW Tsang, JT Kwok, ZH Zhou
The Journal of Machine Learning Research 14 (1), 2151-2188, 2013
912013
A convex method for locating regions of interest with multi-instance learning
YF Li, JT Kwok, IW Tsang, ZH Zhou
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009
912009
Cost-sensitive semi-supervised support vector machine
YF Li, JTY Kwok, ZH Zhou
Proceedings of the National Conference on Artificial Intelligence 1, 500, 2010
882010
Taking human out of learning applications: A survey on automated machine learning
Q Yao, M Wang, Y Chen, W Dai, H Yi-Qi, L Yu-Feng, T Wei-Wei, Y Qiang, ...
arXiv preprint arXiv:1810.13306, 2018
832018
Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection
YF Li, ZH Zhou
Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
602011
Learning instance specific distances using metric propagation
DC Zhan, M Li, YF Li, ZH Zhou
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
542009
Diversity regularized machine
Y Yu, YF Li, ZH Zhou
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
492011
Towards discovering what patterns trigger what labels
YF Li, JH Hu, J Yuan, ZH Zhou
Proceedings of the 26th AAAI Conference on Artificial Intelligence, 2012
482012
Kernelized matrix factorization for collaborative filtering
X Liu, C Aggarwal, YF Li, X Kong, X Sun, S Sathe
Proceedings of the 2016 SIAM International Conference on Data Mining, 378-386, 2016
472016
Improved bounds for the Nyström method with application to kernel classification
R Jin, T Yang, M Mahdavi, YF Li, ZH Zhou
IEEE Transactions on Information Theory 59 (10), 6939-6949, 2013
412013
MIML: a framework for learning with ambiguous objects
ZH Zhou, ML Zhang, SJ Huang, YF Li
CORR abs/0808.3231 112, 2008
362008
Taking human out of learning applications: A survey on automated machine learning
Y Quanming, W Mengshuo, JE Hugo, G Isabelle, H Yi-Qi, L Yu-Feng, ...
arXiv preprint arXiv:1810.13306, 34, 2018
352018
Learning Safe Prediction for Semi-Supervised Regression.
YF Li, HW Zha, ZH Zhou
AAAI 2017, 2217-2223, 2017
322017
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