Weijie Fu
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Scalable semi-supervised learning by efficient anchor graph regularization
M Wang, W Fu, S Hao, D Tao, X Wu
IEEE Transactions on Knowledge and Data Engineering 28 (7), 1864-1877, 2016
Learning on big graph: Label inference and regularization with anchor hierarchy
M Wang, W Fu, S Hao, H Liu, X Wu
IEEE transactions on knowledge and data engineering 29 (5), 1101-1114, 2017
Scalable active learning by approximated error reduction
W Fu, M Wang, S Hao, X Wu
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
A survey on large-scale machine learning
M Wang, W Fu, X He, S Hao, X Wu
IEEE Transactions on Knowledge and Data Engineering, 2020
Dimensionality reduction on anchorgraph with an efficient locality preserving projection
R Jiang, W Fu, L Wen, S Hao, R Hong
Neurocomputing 187, 109-118, 2016
Flag: Faster learning on anchor graph with label predictor optimization
W Fu, M Wang, S Hao, T Mu
IEEE Transactions on Big Data, 2017
Active learning on anchorgraph with an improved transductive experimental design
W Fu, S Hao, M Wang
Neurocomputing 171, 452-462, 2016
Differentiated Explanation of Deep Neural Networks with Skewed Distributions
W Fu, M Wang, M Du, N Liu, S Hao, X Hu
IEEE transactions on pattern analysis and machine intelligence, 2021
The balanced loss curriculum learning
W Qin, Z Hu, X Liu, W Fu, J He, R Hong
IEEE Access 8, 25990-26001, 2020
Efficient graph based multi-view learning
H Hu, R Hong, W Fu, M Wang
International Conference on Multimedia Modeling, 691-703, 2019
Towards Debiasing DNN Models From Spurious Feature Influence
M Du, R Tang, W Fu, X Hu
ExAD: An Ensemble Approach for Explanation-based Adversarial Detection
R Vardhan, N Liu, P Chinprutthiwong, W Fu, Z Hu, XB Hu, G Gu
arXiv preprint arXiv:2103.11526, 2021
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