Lei Feng (冯磊)
Lei Feng (冯磊)
Verified email at e.ntu.edu.sg - Homepage
Title
Cited by
Cited by
Year
Leveraging Latent Label Distributions for Partial Label Learning
L Feng, B An
International Joint Conference on Artificial Intelligence (IJCAI), 2107-2113, 2018
262018
Partial Label Learning with Self-Guided Retraining
L Feng, B An
AAAI Conference on Artificial Intelligence (AAAI), 3542-3549, 2019
252019
A Driving Behavior Detection System based on a Smartphone's Built‐in Sensor
Y Li, F Xue, L Feng, Z Qu
International Journal of Communication Systems 30 (8), 1-13, 2017
222017
Collaboration based Multi-Label Learning
L Feng, B An, S He
AAAI Conference on Artificial Intelligence (AAAI), 3550-3557, 2019
202019
Partial Label Learning by Semantic Difference Maximization
L Feng, B An
International Joint Conference on Artificial Intelligence (IJCAI), 2294-2300, 2019
152019
Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization
H Wei, L Feng, X Chen, B An
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
122020
Learning with Multiple Complementary Labels
L Feng, T Kaneko, B Han, G Niu, B An, M Sugiyama
International Conference on Machine Learning (ICML), 2020
72020
Estimating Latent Relative Labeling Importances for Multi-Label Learning
S He, L Feng, L Li
IEEE International Conference on Data Mining (ICDM), 1013-1018, 2018
72018
Progressive Identification of True Labels for Partial-Label Learning
J Lv, M Xu, L Feng, G Niu, X Geng, M Sugiyama
International Conference on Machine Learning (ICML), 2020
62020
Semi-supervised classification using multiple clusterings
G Yu, L Feng, G Yao, J Wang
Pattern Recognition and Image Analysis 26 (4), 681-687, 2016
52016
Provably Consistent Partial-Label Learning
L Feng, J Lv, B Han, M Xu, G Niu, X Geng, B An, M Sugiyama
Neural Information Processing Systems (NeurIPS), 2020
22020
Fast Top-N Personalized Recommendation on Item Graph
Z Lin, L Feng, C Xu, Chee-Keong Kwoh
IEEE International Conference on Big Data (BigData), 3903-3908, 2019
22019
Semi-Supervised Classification Based on Mixture Graph
L Feng, G Yu
Algorithms 8 (4), 1021-1034, 2015
22015
Can Cross Entropy Loss be Robust to Label Noise?
L Feng, S Shu, Z Lin, F Lv, L Li, B An
International Joint Conference on Artificial Intelligence (IJCAI), 2020
12020
Pointwise Binary Classification with Pairwise Confidence Comparisons
L Feng, S Shu, N Lu, B Han, M Xu, G Niu, B An, M Sugiyama
arXiv preprint arXiv:2010.01875, 2020
2020
COMET: Convolutional Dimension Interaction for Deep Matrix Factorization
Z Lin, L Feng, X Guo, R Yin, CK Kwoh, C Xu
arXiv preprint arXiv:2007.14129, 2020
2020
GLIMG: Global and Local Item Graphs for Top-N Recommender Systems
Z Lin, L Feng, R Yin, C Xu, CK Kwoh
arXiv preprint arXiv:2007.14018, 2020
2020
Incorporating Multiple Cluster Centers for Multi-Label Learning
S Shu, F Lv, L Feng, J Huang, S He, J He, L Li
arXiv preprint arXiv:2004.08113, 2020
2020
Learning Cross-domain Semantic-Visual Relation for Transductive Zero-Shot Learning
J Zhang, F Lv, G Yang, L Feng, Y Yu, L Duan
arXiv preprint arXiv:2003.14105, 2020
2020
Regularized Matrix Factorization for Multilabel Learning With Missing Labels
L Feng, J Huang, S Shu, B An
IEEE Transactions on Cybernetics, 2020
2020
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Articles 1–20