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Yu-Feng Li
Yu-Feng Li
Verified email at lamda.nju.edu.cn - Homepage
Title
Cited by
Cited by
Year
Multi-instance multi-label learning
ZH Zhou, ML Zhang, SJ Huang, YF Li
Artificial Intelligence, 2012
902*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
4982009
Towards making unlabeled data never hurt
YF Li, ZH Zhou
IEEE transactions on pattern analysis and machine intelligence 37 (1), 175-188, 2014
3492014
Towards making unlabeled data never hurt
YF Li, ZH Zhou
Proceedings of the twenty eighth international conference on machine …, 2011
3492011
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 25, 2012
3362012
Taking human out of learning applications: A survey on automated machine learning
Q Yao, M Wang, Y Chen, W Dai, YF Li, WW Tu, Q Yang, Y Yu
arXiv preprint arXiv:1810.13306, 2018
2342018
Tighter and convex maximum margin clustering
YF Li, IW Tsang, J Kwok, ZH Zhou
Artificial Intelligence and Statistics, 344-351, 2009
1492009
Semi-supervised learning using label mean
YF Li, JT Kwok, ZH Zhou
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
1262009
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
1082009
Cost-sensitive semi-supervised support vector machine
YF Li, JTY Kwok, ZH Zhou
Proceedings of the National Conference on Artificial Intelligence 1, 500, 2010
1052010
Convex and scalable weakly labeled SVMs.
YF Li, IW Tsang, JT Kwok, ZH Zhou
Journal of Machine Learning Research 14 (7), 2013
1042013
Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection
YF Li, ZH Zhou
Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
732011
Diversity regularized machine
Y Yu, YF Li, ZH Zhou
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
692011
Safe deep semi-supervised learning for unseen-class unlabeled data
LZ Guo, ZY Zhang, Y Jiang, YF Li, ZH Zhou
International Conference on Machine Learning, 3897-3906, 2020
642020
Towards safe weakly supervised learning
YF Li, LZ Guo, ZH Zhou
IEEE transactions on pattern analysis and machine intelligence 43 (1), 334-346, 2021
632021
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
612009
Safe semi-supervised learning: a brief introduction
YF Li, DM Liang
Frontiers of Computer Science 13 (4), 669-676, 2019
602019
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
582016
Learning safe prediction for semi-supervised regression
YF Li, HW Zha, ZH Zhou
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
572017
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
512012
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Articles 1–20