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Yingyi Chen
Yingyi Chen
PhD candidate, KU Leuven
Verified email at esat.kuleuven.be - Homepage
Title
Cited by
Cited by
Year
Boosting co-teaching with compression regularization for label noise
Y Chen, X Shen, SX Hu, JAK Suykens
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
442021
Jigsaw-vit: Learning jigsaw puzzles in vision transformer
Y Chen, X Shen, Y Liu, Q Tao, JAK Suykens
Pattern Recognition Letters 166, 53-60, 2023
122023
Compressing features for learning with noisy labels
Y Chen, SX Hu, X Shen, C Ai, JAK Suykens
IEEE Transactions on Neural Networks and Learning Systems, 2022
112022
Fast learning in reproducing kernel krein spaces via signed measures
F Liu, X Huang, Y Chen, J Suykens
International Conference on Artificial Intelligence and Statistics, 388-396, 2021
92021
Primal-attention: Self-attention through asymmetric kernel svd in primal representation
Y Chen, Q Tao, F Tonin, J Suykens
Advances in Neural Information Processing Systems 36, 2024
62024
SURE: SUrvey REcipes for building reliable and robust deep networks
Y Li, Y Chen, X Yu, D Chen, X Shen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
2024
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes
Y Chen, Q Tao, F Tonin, JAK Suykens
arXiv preprint arXiv:2402.01476, 2024
2024
Two-stage Best-scored Random Forest for Large-scale Regression
H Hang, Y Chen, JAK Suykens
arXiv preprint arXiv:1905.03438, 2019
2019
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Articles 1–8