Han-Jia Ye

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 91

Top Topics

Distance Metric

Semantic Mapping

Incremental Learning

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Yucheng Wu, Leye Wang, Xiao Han, Han-Jia Ye
Graph Contrastive Learning with Cohesive Subgraph Awareness. CoRR (2024)
Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan
Contextualizing Meta-Learning via Learning to Decompose. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
Da-Wei Zhou, Hai-Long Sun, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan
Continual Learning with Pre-Trained Models: A Survey. CoRR (2024)
Han-Jia Ye, Lu Ming, De-Chuan Zhan, Wei-Lun Chao
Few-Shot Learning With a Strong Teacher. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
Preserving Locality in Vision Transformers for Class Incremental Learning. CoRR (2023)
Lu Han, Han-Jia Ye, De-Chuan Zhan
On Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning. CoRR (2023)
Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning. ICLR (2023)
Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration. NeurIPS (2023)
Qi-Wei Wang, Hongyu Lu, Yu Chen, Da-Wei Zhou, De-Chuan Zhan, Ming Chen, Han-Jia Ye
Streaming CTR Prediction: Rethinking Recommendation Task for Real-World Streaming Data. CoRR (2023)
Yi-Kai Zhang, Lu Ren, Chao Yi, Qi-Wei Wang, De-Chuan Zhan, Han-Jia Ye
ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse. CoRR (2023)
Hai-Long Sun, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox. CoRR (2023)
Qi-Le Zhou, Han-Jia Ye, Le-Ye Wang, De-Chuan Zhan
Unlocking the Transferability of Tokens in Deep Models for Tabular Data. CoRR (2023)
Lan Li, Bowen Tao, Lu Han, De-Chuan Zhan, Han-Jia Ye
Twice Class Bias Correction for Imbalanced Semi-Supervised Learning. CoRR (2023)
Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration. CoRR (2023)
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 (2023)
Ting-Ji Huang, Qi-Le Zhou, Han-Jia Ye, De-Chuan Zhan
Change Point Detection via Synthetic Signals. AALTD@ECML/PKDD (2023)
Han-Jia Ye, Qi-Le Zhou, De-Chuan Zhan
Training-Free Generalization on Heterogeneous Tabular Data via Meta-Representation. CoRR (2023)
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 (2023)
Da-Wei Zhou, Han-Jia Ye, Liang Ma, Di Xie, Shiliang Pu, De-Chuan Zhan
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Fu-Yun Wang, Da-Wei Zhou, Liu Liu, Han-Jia Ye, Yatao Bian, De-Chuan Zhan, Peilin Zhao
BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion. ICLR (2023)
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)
Lu Han, Xu-Yang Chen, Han-Jia Ye, De-Chuan Zhan
Learning Robust Precipitation Forecaster by Temporal Frame Interpolation. CoRR (2023)
Chao Yi, Ting-Ji Huang, Han-Jia Ye, De-Chuan Zhan
Improved Dynamic Spatial-Temporal Attention Network for Early Anticipation of Traffic Accidents. ICME Workshops (2023)
Lu Han, Han-Jia Ye, De-Chuan Zhan
Augmentation Component Analysis: Modeling Similarity via the Augmentation Overlaps. ICLR (2023)
Da-Wei Zhou, Yuanhan Zhang, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
Learning without Forgetting for Vision-Language Models. CoRR (2023)
Da-Wei Zhou, Qi-Wei Wang, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
Deep Class-Incremental Learning: A Survey. CoRR (2023)
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) (2023)
Yi-Kai Zhang, Ting-Ji Huang, Yao-Xiang Ding, De-Chuan Zhan, Han-Jia Ye
Model Spider: Learning to Rank Pre-Trained Models Efficiently. CoRR (2023)
Yi-Kai Zhang, Qi-Wei Wang, De-Chuan Zhan, Han-Jia Ye
Learning Debiased Representations via Conditional Attribute Interpolation. CVPR (2023)
Yi Shi, Rui-Xiang Li, Wen-Qi Shao, Xin-Cen Duan, Han-Jia Ye, De-Chuan Zhan, Bai-Shen Pan, Bei-Li Wang, Wei Guo, Yuan Jiang
A Multi-task Method for Immunofixation Electrophoresis Image Classification. MICCAI (6) (2023)
Fu-Yun Wang, Wenshuo Chen, Guanglu Song, Han-Jia Ye, Yu Liu, Hongsheng Li
Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising. CoRR (2023)
Han-Jia Ye, Su Lu, De-Chuan Zhan
Generalized Knowledge Distillation via Relationship Matching. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
Preserving Locality in Vision Transformers for Class Incremental Learning. ICME (2023)
Yi-Kai Zhang, Ting-Ji Huang, Yao-Xiang Ding, De-Chuan Zhan, Han-Jia Ye
Model Spider: Learning to Rank Pre-Trained Models Efficiently. NeurIPS (2023)
Lu Han, Han-Jia Ye, De-Chuan Zhan
Contrastive Principal Component Learning: Modeling Similarity by Augmentation Overlap. CoRR (2022)
Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning. CoRR (2022)
Han-Jia Ye, Wei-Lun Chao
How to Train Your MAML to Excel in Few-Shot Classification. ICLR (2022)
Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, Liang Ma, Shiliang Pu, De-Chuan Zhan
Forward Compatible Few-Shot Class-Incremental Learning. CoRR (2022)
Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
FOSTER: Feature Boosting and Compression for Class-Incremental Learning. ECCV (25) (2022)
Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
FOSTER: Feature Boosting and Compression for Class-Incremental Learning. CoRR (2022)
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)
Han-Jia Ye, Yi Shi, De-Chuan Zhan
Identifying Ambiguous Similarity Conditions via Semantic Matching. CVPR (2022)
Su Lu, Han-Jia Ye, De-Chuan Zhan
Faculty Distillation with Optimal Transport. CoRR (2022)
Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks. CoRR (2022)
Han-Jia Ye, Su Lu, De-Chuan Zhan
Generalized Knowledge Distillation via Relationship Matching. CoRR (2022)
Han-Jia Ye, Yi Shi, De-Chuan Zhan
Identifying Ambiguous Similarity Conditions via Semantic Matching. CoRR (2022)
Lu Han, Han-Jia Ye, De-Chuan Zhan
On Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning. Trans. Mach. Learn. Res. 2022 (2022)
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)
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) (2021)
Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
Learning Placeholders for Open-Set Recognition. CVPR (2021)
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)
Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan
Contextualizing Multiple Tasks via Learning to Decompose. CoRR (2021)
Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
Co-Transport for Class-Incremental Learning. CoRR (2021)
Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
Learning Placeholders for Open-Set Recognition. CoRR (2021)
Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, De-Chuan Zhan
PyCIL: A Python Toolbox for Class-Incremental Learning. CoRR (2021)
Han-Jia Ye, De-Chuan Zhan, Wei-Lun Chao
Procrustean Training for Imbalanced Deep Learning. CoRR (2021)
Su Lu, Han-Jia Ye, Le Gan, De-Chuan Zhan
Towards Enabling Meta-Learning from Target Models. NeurIPS (2021)
Han-Jia Ye, Hexiang Hu, De-Chuan Zhan
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning. Int. J. Comput. Vis. 129 (6) (2021)
Han-Jia Ye, De-Chuan Zhan, Wei-Lun Chao
Procrustean Training for Imbalanced Deep Learning. ICCV (2021)
Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
Co-Transport for Class-Incremental Learning. ACM Multimedia (2021)
Han-Jia Ye, Lu Ming, De-Chuan Zhan, Wei-Lun Chao
Few-Shot Learning with a Strong Teacher. CoRR (2021)
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)
Su Lu, Han-Jia Ye, De-Chuan Zhan
Support-Target Protocol for Meta-Learning. CoRR (2021)
Han-Jia Ye, Xin-Chun Li, De-Chuan Zhan
Task Cooperation for Semi-Supervised Few-Shot Learning. AAAI (2021)
Xiu-Shen Wei, Jufeng Yang, Han-Jia Ye, Jian Yang
MULL'21: First International Workshop on Multimedia Understanding with Less Labeling. ACM Multimedia (2021)
Su Lu, Han-Jia Ye, De-Chuan Zhan
Few-Shot Action Recognition with Compromised Metric via Optimal Transport. CoRR (2021)
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) (2021)
Su Lu, Han-Jia Ye, De-Chuan Zhan
Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors. AAAI (2021)
Han-Jia Ye, Wei-Lun Chao
How to Train Your MAML to Excel in Few-Shot Classification. CoRR (2021)
Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha
Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions. CVPR (2020)
Chao Wang, Ruo-Ze Liu, Han-Jia Ye, Yang Yu
Novelty-Prepared Few-Shot Classification. CoRR (2020)
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 (2020)
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) (2020)
Han-Jia Ye, Su Lu, De-Chuan Zhan
Distilling Cross-Task Knowledge via Relationship Matching. CVPR (2020)
Wei-Lun Chao, Han-Jia Ye, De-Chuan Zhan, Mark E. Campbell, Kilian Q. Weinberger
Revisiting Meta-Learning as Supervised Learning. CoRR (2020)
Han-Jia Ye, Hong-You Chen, De-Chuan Zhan, Wei-Lun Chao
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning. CoRR (2020)
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) (2020)
Han-Jia Ye, Lu Han, De-Chuan Zhan
Revisiting Unsupervised Meta-Learning: Amplifying or Compensating for the Characteristics of Few-Shot Tasks. CoRR (2020)
Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha
Learning Classifier Synthesis for Generalized Few-Shot Learning. CoRR (2019)
Han-Jia Ye, De-Chuan Zhan, Yuan Jiang
Fast generalization rates for distance metric learning. Mach. Learn. 108 (2) (2019)
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) (2019)
Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha
Learning Embedding Adaptation for Few-Shot Learning. CoRR (2018)
Han-Jia Ye, Xiang-Rong Sheng, De-Chuan Zhan, Peng He
Distance Metric Facilitated Transportation between Heterogeneous Domains. IJCAI (2018)
Han-Jia Ye, De-Chuan Zhan, Yuan Jiang, Zhi-Hua Zhou
Rectify Heterogeneous Models with Semantic Mapping. ICML (2018)
Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang
Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps. IJCAI (2017)
Han-Jia Ye, De-Chuan Zhan, Yuan Jiang
Instance Specific Metric Subspace Learning: A Bayesian Approach. AAAI (2016)
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)
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)
Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang
Learning Feature Aware Metric. ACML (2016)
Yang Yang, Han-Jia Ye, De-Chuan Zhan, Yuan Jiang
Auxiliary Information Regularized Machine for Multiple Modality Feature Learning. IJCAI (2015)
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)