


Остановите войну!
for scientists:


default search action
Han-Jia Ye
Person information

Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
- [j11]Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, De-Chuan Zhan:
PyCIL: a Python toolbox for class-incremental learning. Sci. China Inf. Sci. 66(9) (2023) - [j10]Han-Jia Ye
, Su Lu, De-Chuan Zhan:
Generalized Knowledge Distillation via Relationship Matching. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1817-1834 (2023) - [j9]Han-Jia Ye
, Lu Han, De-Chuan Zhan:
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3721-3737 (2023) - [i29]Lu Han, Han-Jia Ye, De-Chuan Zhan:
On Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning. CoRR abs/2301.06010 (2023) - [i28]Da-Wei Zhou, Qi-Wei Wang, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu:
Deep Class-Incremental Learning: A Survey. CoRR abs/2302.03648 (2023) - [i27]Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu:
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need. CoRR abs/2303.07338 (2023) - [i26]Lu Han, Han-Jia Ye, De-Chuan Zhan:
The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting. CoRR abs/2304.05206 (2023) - [i25]Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan:
Preserving Locality in Vision Transformers for Class Incremental Learning. CoRR abs/2304.06971 (2023) - 2022
- [j8]Lu Han, Han-Jia Ye, De-Chuan Zhan:
On Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning. Trans. Mach. Learn. Res. 2022 (2022) - [c25]Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, Liang Ma
, Shiliang Pu, De-Chuan Zhan:
Forward Compatible Few-Shot Class-Incremental Learning. CVPR 2022: 9036-9046 - [c24]Han-Jia Ye, Yi Shi, De-Chuan Zhan:
Identifying Ambiguous Similarity Conditions via Semantic Matching. CVPR 2022: 16589-16598 - [c23]Fu-Yun Wang
, Da-Wei Zhou
, Han-Jia Ye
, De-Chuan Zhan
:
FOSTER: Feature Boosting and Compression for Class-Incremental Learning. ECCV (25) 2022: 398-414 - [c22]Han-Jia Ye, Wei-Lun Chao:
How to Train Your MAML to Excel in Few-Shot Classification. ICLR 2022 - [c21]Yi-Kai Zhang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan:
Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation. INTERSPEECH 2022: 531-535 - [i24]Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, Liang Ma, Shiliang Pu, De-Chuan Zhan:
Forward Compatible Few-Shot Class-Incremental Learning. CoRR abs/2203.06953 (2022) - [i23]Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan:
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks. CoRR abs/2203.17030 (2022) - [i22]Han-Jia Ye, Yi Shi, De-Chuan Zhan:
Identifying Ambiguous Similarity Conditions via Semantic Matching. CoRR abs/2204.04053 (2022) - [i21]Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan:
FOSTER: Feature Boosting and Compression for Class-Incremental Learning. CoRR abs/2204.04662 (2022) - [i20]Su Lu, Han-Jia Ye, De-Chuan Zhan:
Faculty Distillation with Optimal Transport. CoRR abs/2204.11526 (2022) - [i19]Han-Jia Ye, Su Lu, De-Chuan Zhan:
Generalized Knowledge Distillation via Relationship Matching. CoRR abs/2205.01915 (2022) - [i18]Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan:
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning. CoRR abs/2205.13218 (2022) - [i17]Lu Han, Han-Jia Ye, De-Chuan Zhan:
Contrastive Principal Component Learning: Modeling Similarity by Augmentation Overlap. CoRR abs/2206.00471 (2022) - 2021
- [j7]Han-Jia Ye
, Hexiang Hu, De-Chuan Zhan:
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning. Int. J. Comput. Vis. 129(6): 1930-1953 (2021) - [j6]Han-Jia Ye
, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou:
Heterogeneous Few-Shot Model Rectification With Semantic Mapping. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 3878-3891 (2021) - [j5]Xiu-Shen Wei
, Han-Jia Ye
, Xin Mu
, Jianxin Wu
, Chunhua Shen
, Zhi-Hua Zhou
:
Multi-Instance Learning With Emerging Novel Class. IEEE Trans. Knowl. Data Eng. 33(5): 2109-2120 (2021) - [c20]Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li:
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. AAAI 2021: 6705-6713 - [c19]Su Lu, Han-Jia Ye, De-Chuan Zhan:
Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors. AAAI 2021: 8776-8783 - [c18]Han-Jia Ye, Xin-Chun Li, De-Chuan Zhan:
Task Cooperation for Semi-Supervised Few-Shot Learning. AAAI 2021: 10682-10690 - [c17]Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan:
Learning Placeholders for Open-Set Recognition. CVPR 2021: 4401-4410 - [c16]Han-Jia Ye, De-Chuan Zhan, Wei-Lun Chao:
Procrustean Training for Imbalanced Deep Learning. ICCV 2021: 92-102 - [c15]Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan:
Co-Transport for Class-Incremental Learning. ACM Multimedia 2021: 1645-1654 - [c14]Xiu-Shen Wei, Jufeng Yang, Han-Jia Ye, Jian Yang:
MULL'21: First International Workshop on Multimedia Understanding with Less Labeling. ACM Multimedia 2021: 5704-5705 - [c13]Xiu-Shen Wei, Yang Shen, Xuhao Sun, Han-Jia Ye, Jian Yang:
A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval. NeurIPS 2021: 5720-5730 - [c12]Su Lu, Han-Jia Ye, Le Gan, De-Chuan Zhan:
Towards Enabling Meta-Learning from Target Models. NeurIPS 2021: 8060-8071 - [e1]Xiu-Shen Wei, Han-Jia Ye, Jufeng Yang, Jian Yang:
MULL'21: Multimedia Understanding with Less Labeling on Multimedia Understanding with Less Labeling, Virtual Event, China, 24 October 2021. ACM 2021, ISBN 978-1-4503-8681-4 [contents] - [i16]Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan:
Learning Placeholders for Open-Set Recognition. CoRR abs/2103.15086 (2021) - [i15]Han-Jia Ye, De-Chuan Zhan, Wei-Lun Chao:
Procrustean Training for Imbalanced Deep Learning. CoRR abs/2104.01769 (2021) - [i14]Su Lu, Han-Jia Ye, De-Chuan Zhan:
Support-Target Protocol for Meta-Learning. CoRR abs/2104.03736 (2021) - [i13]Su Lu, Han-Jia Ye, De-Chuan Zhan:
Few-Shot Action Recognition with Compromised Metric via Optimal Transport. CoRR abs/2104.03737 (2021) - [i12]Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan:
Contextualizing Multiple Tasks via Learning to Decompose. CoRR abs/2106.08112 (2021) - [i11]Han-Jia Ye, Wei-Lun Chao:
How to Train Your MAML to Excel in Few-Shot Classification. CoRR abs/2106.16245 (2021) - [i10]Han-Jia Ye, Lu Ming, De-Chuan Zhan, Wei-Lun Chao:
Few-Shot Learning with a Strong Teacher. CoRR abs/2107.00197 (2021) - [i9]Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan:
Co-Transport for Class-Incremental Learning. CoRR abs/2107.12654 (2021) - [i8]Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, De-Chuan Zhan:
PyCIL: A Python Toolbox for Class-Incremental Learning. CoRR abs/2112.12533 (2021) - 2020
- [j4]Han-Jia Ye
, Xiang-Rong Sheng, De-Chuan Zhan:
Few-shot learning with adaptively initialized task optimizer: a practical meta-learning approach. Mach. Learn. 109(3): 643-664 (2020) - [j3]Han-Jia Ye
, De-Chuan Zhan
, Nan Li, Yuan Jiang:
Learning Multiple Local Metrics: Global Consideration Helps. IEEE Trans. Pattern Anal. Mach. Intell. 42(7): 1698-1712 (2020) - [c11]Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha:
Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions. CVPR 2020: 8805-8814 - [c10]Han-Jia Ye, Su Lu, De-Chuan Zhan:
Distilling Cross-Task Knowledge via Relationship Matching. CVPR 2020: 12393-12402 - [i7]Han-Jia Ye, Hong-You Chen, De-Chuan Zhan, Wei-Lun Chao:
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning. CoRR abs/2001.01385 (2020) - [i6]Wei-Lun Chao, Han-Jia Ye, De-Chuan Zhan, Mark E. Campbell, Kilian Q. Weinberger:
Revisiting Meta-Learning as Supervised Learning. CoRR abs/2002.00573 (2020) - [i5]Chao Wang, Ruo-Ze Liu, Han-Jia Ye, Yang Yu:
Novelty-Prepared Few-Shot Classification. CoRR abs/2003.00497 (2020) - [i4]Han-Jia Ye, Lu Han, De-Chuan Zhan:
Revisiting Unsupervised Meta-Learning: Amplifying or Compensating for the Characteristics of Few-Shot Tasks. CoRR abs/2011.14663 (2020) - [i3]Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li:
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. CoRR abs/2012.09382 (2020)
2010 – 2019
- 2019
- [j2]Han-Jia Ye, De-Chuan Zhan, Yuan Jiang:
Fast generalization rates for distance metric learning. Mach. Learn. 108(2): 267-295 (2019) - [j1]Han-Jia Ye
, De-Chuan Zhan
, Yuan Jiang, Zhi-Hua Zhou
:
What Makes Objects Similar: A Unified Multi-Metric Learning Approach. IEEE Trans. Pattern Anal. Mach. Intell. 41(5): 1257-1270 (2019) - [i2]Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha:
Learning Classifier Synthesis for Generalized Few-Shot Learning. CoRR abs/1906.02944 (2019) - 2018
- [c9]Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou:
Rectify Heterogeneous Models with Semantic Mapping. ICML 2018: 1904-1913 - [c8]Han-Jia Ye, Xiang-Rong Sheng, De-Chuan Zhan, Peng He:
Distance Metric Facilitated Transportation between Heterogeneous Domains. IJCAI 2018: 3012-3018 - [i1]Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha:
Learning Embedding Adaptation for Few-Shot Learning. CoRR abs/1812.03664 (2018) - 2017
- [c7]Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang:
Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps. IJCAI 2017: 3315-3321 - 2016
- [c6]Han-Jia Ye, De-Chuan Zhan, Yuan Jiang:
Instance Specific Metric Subspace Learning: A Bayesian Approach. AAAI 2016: 2272-2278 - [c5]Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang:
Learning Feature Aware Metric. ACML 2016: 286-301 - [c4]Han-Jia Ye, De-Chuan Zhan, Xiaolin Li, Zhen-Chuan Huang, Yuan Jiang:
College Student Scholarships and Subsidies Granting: A Multi-modal Multi-label Approach. ICDM 2016: 559-568 - [c3]Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang, Zhi-Hua Zhou:
What Makes Objects Similar: A Unified Multi-Metric Learning Approach. NIPS 2016: 1235-1243 - 2015
- [c2]Han-Jia Ye, De-Chuan Zhan, Yuan Miao, Yuan Jiang, Zhi-Hua Zhou:
Rank Consistency based Multi-View Learning: A Privacy-Preserving Approach. CIKM 2015: 991-1000 - [c1]Yang Yang, Han-Jia Ye, De-Chuan Zhan, Yuan Jiang:
Auxiliary Information Regularized Machine for Multiple Modality Feature Learning. IJCAI 2015: 1033-1039
Coauthor Index

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2023-05-25 21:10 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint