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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
928*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
5252009
Towards making unlabeled data never hurt
YF Li, ZH Zhou
IEEE transactions on pattern analysis and machine intelligence 37 (1), 175-188, 2014
3772014
Towards making unlabeled data never hurt
YF Li, ZH Zhou
Proceedings of the twenty eighth international conference on machine …, 2011
3772011
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
3622012
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
3182018
Tighter and convex maximum margin clustering
YF Li, IW Tsang, J Kwok, ZH Zhou
Artificial Intelligence and Statistics, 344-351, 2009
1482009
Semi-supervised learning using label mean
YF Li, JT Kwok, ZH Zhou
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
1302009
Cost-sensitive semi-supervised support vector machine
YF Li, JTY Kwok, ZH Zhou
Proceedings of the National Conference on Artificial Intelligence 1, 500, 2010
1112010
Convex and scalable weakly labeled SVMs.
YF Li, IW Tsang, JT Kwok, ZH Zhou
Journal of Machine Learning Research 14 (7), 2013
1092013
A convex method for locating regions of interest with multi-instance learning
YF Li, JT Kwok, IW Tsang, ZH Zhou
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2009
1082009
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
1022020
Towards safe weakly supervised learning
YF Li, LZ Guo, ZH Zhou
IEEE transactions on pattern analysis and machine intelligence 43 (1), 334-346, 2021
912021
Safe semi-supervised learning: a brief introduction
YF Li, DM Liang
Frontiers of Computer Science 13, 669-676, 2019
762019
Diversity regularized machine
Y Yu, YF Li, ZH Zhou
Twenty-second international joint conference on artificial intelligence, 2011
762011
Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection
YF Li, ZH Zhou
Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
752011
Learning safe prediction for semi-supervised regression
YF Li, HW Zha, ZH Zhou
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
622017
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
622009
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
592016
Dash: Semi-supervised learning with dynamic thresholding
Y Xu, L Shang, J Ye, Q Qian, YF Li, B Sun, H Li, R Jin
International Conference on Machine Learning, 11525-11536, 2021
582021
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