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Han-Jia Ye
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Cited by
Year
Few-shot learning via embedding adaptation with set-to-set functions
HJ Ye, H Hu, DC Zhan, F Sha
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
444*2020
Learning placeholders for open-set recognition
DW Zhou, HJ Ye, DC Zhan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
672021
Learning adaptive classifiers synthesis for generalized few-shot learning
HJ Ye, H Hu, DC Zhan
International Journal of Computer Vision 129 (6), 1930-1953, 2021
39*2021
What makes objects similar: A unified multi-metric learning approach
HJ Ye, DC Zhan, XM Si, Y Jiang, ZH Zhou
Advances in neural information processing systems 29, 2016
392016
Fast generalization rates for distance metric learning
HJ Ye, DC Zhan, Y Jiang
Machine Learning 108 (2), 267-295, 2019
362019
Identifying and compensating for feature deviation in imbalanced deep learning
HJ Ye, HY Chen, DC Zhan, WL Chao
arXiv preprint arXiv:2001.01385, 2020
342020
Rank consistency based multi-view learning: A privacy-preserving approach
HJ Ye, DC Zhan, Y Miao, Y Jiang, ZH Zhou
Proceedings of the 24th ACM international on conference on information and …, 2015
302015
Decaug: Out-of-distribution generalization via decomposed feature representation and semantic augmentation
H Bai, R Sun, L Hong, F Zhou, N Ye, HJ Ye, SHG Chan, Z Li
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 6705-6713, 2021
282021
Few-shot learning with adaptively initialized task optimizer: a practical meta-learning approach
HJ Ye, XR Sheng, DC Zhan
Machine Learning 109 (3), 643-664, 2020
242020
College student scholarships and subsidies granting: A multi-modal multi-label approach
HJ Ye, DC Zhan, X Li, ZC Huang, Y Jiang
2016 IEEE 16th International Conference on Data Mining (ICDM), 559-568, 2016
242016
Distilling cross-task knowledge via relationship matching
HJ Ye, S Lu, DC Zhan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
212020
Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps.
HJ Ye, DC Zhan, XM Si, Y Jiang
IJCAI, 3315-3321, 2017
212017
Revisiting meta-learning as supervised learning
WL Chao, HJ Ye, DC Zhan, M Campbell, KQ Weinberger
arXiv preprint arXiv:2002.00573, 2020
202020
Multi-instance learning with emerging novel class
XS Wei, HJ Ye, X Mu, J Wu, C Shen, ZH Zhou
IEEE Transactions on Knowledge and Data Engineering 33 (5), 2109-2120, 2019
182019
Rectify heterogeneous models with semantic mapping
HJ Ye, DC Zhan, Y Jiang, ZH Zhou
International Conference on Machine Learning, 5630-5639, 2018
182018
Few-shot learning with a strong teacher
HJ Ye, L Ming, DC Zhan, WL Chao
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
15*2022
Auxiliary information regularized machine for multiple modality feature learning
Y Yang, HJ Ye, DC Zhan, Y Jiang
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
152015
Learning multiple local metrics: Global consideration helps
HJ Ye, DC Zhan, N Li, Y Jiang
IEEE transactions on pattern analysis and machine intelligence 42 (7), 1698-1712, 2019
112019
Co-transport for class-incremental learning
DW Zhou, HJ Ye, DC Zhan
Proceedings of the 29th ACM International Conference on Multimedia, 1645-1654, 2021
102021
How to train your MAML to excel in few-shot classification
HJ Ye, WL Chao
arXiv preprint arXiv:2106.16245, 2021
102021
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