Han-Jia Ye
Han-Jia Ye
在 lamda.nju.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
203*2020
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
252015
Fast generalization rates for distance metric learning
HJ Ye, DC Zhan, Y Jiang
Machine Learning 108 (2), 267-295, 2019
242019
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
212016
Rectify heterogeneous models with semantic mapping
HJ Ye, DC Zhan, Y Jiang, ZH Zhou
International Conference on Machine Learning, 5630-5639, 2018
162018
Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps.
HJ Ye, DC Zhan, XM Si, Y Jiang
IJCAI, 3315-3321, 2017
162017
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
15*2021
Revisiting meta-learning as supervised learning
WL Chao, HJ Ye, DC Zhan, M Campbell, KQ Weinberger
arXiv preprint arXiv:2002.00573, 2020
142020
What Makes Objects Similar: A Unified Multi-Metric Learning Approach.
HJ Ye, DC Zhan, XM Si, Y Jiang, ZH Zhou
NIPS, 1235-1243, 2016
142016
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
122015
Identifying and compensating for feature deviation in imbalanced deep learning
HJ Ye, HY Chen, DC Zhan, WL Chao
arXiv preprint arXiv:2001.01385, 2020
112020
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
arXiv preprint arXiv:2012.09382, 2020
102020
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
102020
Multiple 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, 2019
102019
What makes objects similar: A unified multi-metric learning approach
HJ Ye, DC Zhan, Y Jiang, ZH Zhou
IEEE transactions on pattern analysis and machine intelligence 41 (5), 1257-1270, 2018
92018
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
82020
Distance Metric Facilitated Transportation between Heterogeneous Domains.
HJ Ye, XR Sheng, DC Zhan, P He
IJCAI, 3012-3018, 2018
72018
Instance specific metric subspace learning: A bayesian approach
HJ Ye, DC Zhan, Y Jiang
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
72016
Learning feature aware metric
HJ Ye, DC Zhan, XM Si, Y Jiang
Asian Conference on Machine Learning, 286-301, 2016
42016
Learning Placeholders for Open-Set Recognition
DW Zhou, HJ Ye, DC Zhan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
32021
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