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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
364*2020
Fast generalization rates for distance metric learning
HJ Ye, DC Zhan, Y Jiang
Machine Learning 108 (2), 267-295, 2019
352019
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
342016
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
33*2021
Learning placeholders for open-set recognition
DW Zhou, HJ Ye, DC Zhan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
332021
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
Identifying and compensating for feature deviation in imbalanced deep learning
HJ Ye, HY Chen, DC Zhan, WL Chao
arXiv preprint arXiv:2001.01385, 2020
262020
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
232016
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
212021
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
202020
Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps.
HJ Ye, DC Zhan, XM Si, Y Jiang
IJCAI, 3315-3321, 2017
202017
Revisiting meta-learning as supervised learning
WL Chao, HJ Ye, DC Zhan, M Campbell, KQ Weinberger
arXiv preprint arXiv:2002.00573, 2020
192020
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
172020
Rectify heterogeneous models with semantic mapping
HJ Ye, DC Zhan, Y Jiang, ZH Zhou
International Conference on Machine Learning, 5630-5639, 2018
162018
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
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
142019
Few-shot learning with a strong teacher
HJ Ye, L Ming, DC Zhan, WL Chao
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
10*2022
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
92019
Tailoring embedding function to heterogeneous few-shot tasks by global and local feature adaptors
S Lu, HJ Ye, DC Zhan
Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 8776-8783, 2021
82021
Task cooperation for semi-supervised few-shot learning
HJ Ye, XC Li, DC Zhan
Proceedings of the AAAI conference on artificial intelligence 35 (12), 10682 …, 2021
82021
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