Yu-Feng Li - Concepedia

Author

Yu-Feng Li

Nanjing University ORCID

Also Known As

Guo, Lan-Zhe, Li, Yu-Feng, Li, Yufeng, Y. LI, Yu-Feng Li, Yu-feng Li, Yufeng Li

115

Publications

3.1K

Citations

H-Index

Concepts

All Affiliations

Nanjing University Hong Kong University of Science and Technology Collaborative Innovation Center of Advanced Microstructures

About

Yu-Feng Li is an author at Nanjing University specializing in engineering, computer science, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	25	34	2.3K
2	Business	3	3	490
3	Applied Physics	2	2	100
4	Management	1	1	29
5	Chemistry	1	1	51

Yu-Feng Li

Publications

2.9K

Citations

H-Index

Page 1

	Year	Citations
Multi-instance multi-label learning Zhi‐Hua Zhou, Min-Ling Zhang, Sheng-Jun Huang, Artificial Intelligence Instance-based LearningMultiple Instance LearningEngineeringMachine LearningData Science	2011	426
Multi-instance learning by treating instances as non-I.I.D. samples Zhi‐Hua Zhou, Yuyin Sun, Yu-Feng Li Artificial IntelligenceMultiple Instance LearningEngineeringMachine LearningUnsupervised Machine Learning	2009	394
Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison Tianbao Yang, Yu-Feng Li, Mehrdad Mahdavi,	2012	218
Safe semi-supervised learning: a brief introduction Yu-Feng Li, De-Ming Liang Frontiers of Computer Science Artificial IntelligenceData ClassificationEngineeringMachine LearningSafe Semi-supervised Learning	2019	127
Semi-supervised learning using label mean Yu-Feng Li, James T. Kwok, Zhi‐Hua Zhou Multiple Instance LearningEngineeringMachine LearningLabel MeanText Mining	2009	113
Tighter and convex maximum margin clustering Yu-Feng Li, Ivor W. Tsang, James T. Kwok,	2009	112
Cost-Sensitive Semi-Supervised Support Vector Machine Yu-Feng Li, James T. Kwok, Zhi‐Hua Zhou Proceedings of the AAAI Conference on Artificial Intelligence Artificial IntelligenceTotal CostEngineeringMachine LearningSupport Vector Machine	2010	92
Convex and scalable weakly labeled SVMs Yu-Feng Li, Ivor W. Tsang, James T. Kwok, Journal of Machine Learning Research Mathematical ProgrammingMultiple Instance LearningEngineeringMachine LearningText Mining	2013	85
Towards Making Unlabeled Data Never Hurt Yu-Feng Li, Zhi‐Hua Zhou	2011	80
Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data Lan-Zhe Guo, Zhenyu Zhang, Yuan Jiang, International Conference on Machine Learning Machine VisionMachine LearningData ScienceEngineeringSelf-supervised Learning	2020	80

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