Yu-Feng Li
Yu-Feng Li
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Cited by
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Multi-instance multi-label learning
ZH Zhou, ML Zhang, SJ Huang, YF Li
Artificial Intelligence, 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
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 31, 2018
Towards making unlabeled data never hurt
YF Li, ZH Zhou
Proceedings of the twenty eighth international conference on machine …, 2011
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
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
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
Towards safe weakly supervised learning
YF Li, LZ Guo, ZH Zhou
IEEE transactions on pattern analysis and machine intelligence 43 (1), 334-346, 2021
Tighter and convex maximum margin clustering
YF Li, IW Tsang, J Kwok, ZH Zhou
Artificial Intelligence and Statistics, 344-351, 2009
Semi-supervised learning using label mean
YF Li, JT Kwok, ZH Zhou
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
Convex and scalable weakly labeled SVMs.
YF Li, IW Tsang, JT Kwok, ZH Zhou
Journal of Machine Learning Research 14 (7), 2013
Safe semi-supervised learning: a brief introduction
YF Li, DM Liang
Frontiers of Computer Science 13, 669-676, 2019
Cost-sensitive semi-supervised support vector machine
YF Li, JTY Kwok, ZH Zhou
Proceedings of the National Conference on Artificial Intelligence 1, 500, 2010
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
Usb: A unified semi-supervised learning benchmark for classification
Y Wang, H Chen, Y Fan, W Sun, R Tao, W Hou, R Wang, L Yang, Z Zhou, ...
Advances in Neural Information Processing Systems 35, 3938-3961, 2022
Ngc: A unified framework for learning with open-world noisy data
ZF Wu, T Wei, J Jiang, C Mao, M Tang, YF Li
Proceedings of the IEEE/CVF International Conference on Computer Vision, 62-71, 2021
Diversity regularized machine
Y Yu, YF Li, ZH Zhou
Twenty-second international joint conference on artificial intelligence, 2011
Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection
YF Li, ZH Zhou
Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
Class-imbalanced semi-supervised learning with adaptive thresholding
LZ Guo, YF Li
International conference on machine learning, 8082-8094, 2022
Learning safe prediction for semi-supervised regression
YF Li, HW Zha, ZH Zhou
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
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