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ORCIDFei Ye 0004
Person information
- affiliation: University of York, Department of Computer Science, UK
- affiliation (former): Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China
Other persons with the same name
- Fei Ye — disambiguation page
- Fei Ye 0001 — University of Washington, Department of Electrical Engineering, Seattle, WA (and 1 more)
- Fei Ye 0002
![[0000-0001-8463-0541]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8463-0541")
— Shanghai Jiaotong University, Department of Automation, China - Fei Ye 0003 — Institute of Geodesy and Geophysics, State Key Laboratory of Geodesy and Earth's Dynamics, Wuhan, China
- Fei Ye 0005 — Nanjing University of Information Science and Technology, School of Electronic and Information Engineering, China
- Fei Ye 0006 — South China University of Technology, SCUT, School of Business Administration, Guangzhou, China
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Journal Articles
- 2024
[j9]Fei Ye, Adrian G. Bors:
Self-Supervised Adversarial Variational Learning. Pattern Recognit. 148: 110156 (2024)- [j8]Fei Ye, Adrian G. Bors:
Lifelong Dual Generative Adversarial Nets Learning in Tandem. IEEE Trans. Cybern. 54(3): 1353-1365 (2024) - 2023
- [j7]Fei Ye, Adrian G. Bors:
Dynamic Self-Supervised Teacher-Student Network Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5731-5748 (2023) - [j6]Fei Ye, Adrian G. Bors:
Lifelong Mixture of Variational Autoencoders. IEEE Trans. Neural Networks Learn. Syst. 34(1): 461-474 (2023) - 2022
- [j5]Fei Ye, Adrian G. Bors:
Lifelong Teacher-Student Network Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6280-6296 (2022) - [j4]Fei Ye, Adrian G. Bors:
Deep Mixture Generative Autoencoders. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5789-5803 (2022) - 2021
- [j3]Fei Ye, Adrian G. Bors:
Learning joint latent representations based on information maximization. Inf. Sci. 567: 216-236 (2021) - 2020
- [j2]Haiyang Wang, Yong Tang, Ziyang Jia, Fei Ye:
Dense adaptive cascade forest: a self-adaptive deep ensemble for classification problems. Soft Comput. 24(4): 2955-2968 (2020) - 2018
- [j1]Fei Ye:
Evolving the SVM model based on a hybrid method using swarm optimization techniques in combination with a genetic algorithm for medical diagnosis. Multim. Tools Appl. 77(3): 3889-3918 (2018)
Conference and Workshop Papers
- 2024
- [c20]Fei Ye, Adrian G. Bors:
Task-Free Dynamic Sparse Vision Transformer for Continual Learning. AAAI 2024: 16442-16450 - [c19]Fei Ye, Adrian G. Bors:
Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster. AAAI 2024: 16451-16459 - 2023
- [c18]Fei Ye, Adrian G. Bors:
Learning Dynamic Latent Spaces for Lifelong Generative Modelling. AAAI 2023: 10891-10899 - [c17]Fei Ye, Adrian G. Bors:
Lifelong Compression Mixture Model via Knowledge Relationship Graph. AAAI 2023: 10900-10908 - [c16]Fei Ye, Adrian G. Bors:
Lifelong Variational Autoencoder via Online Adversarial Expansion Strategy. AAAI 2023: 10909-10917 - [c15]Fei Ye, Adrian G. Bors:
Continual Variational Autoencoder via Continual Generative Knowledge Distillation. AAAI 2023: 10918-10926 - [c14]Fei Ye, Adrian G. Bors:
Dynamic Scalable Self-Attention Ensemble for Task-Free Continual Learning. ICASSP 2023: 1-5 - [c13]Fei Ye, Adrian G. Bors:
Compressing Cross-Domain Representation via Lifelong Knowledge Distillation. ICASSP 2023: 1-5 - [c12]Fei Ye, Adrian G. Bors:
Wasserstein Expansible Variational Autoencoder for Discriminative and Generative Continual Learning. ICCV 2023: 18619-18629 - [c11]Fei Ye, Adrian G. Bors:
Self-Evolved Dynamic Expansion Model for Task-Free Continual Learning. ICCV 2023: 22045-22055 - 2022
- [c10]Fei Ye, Adrian G. Bors:
Lifelong Generative Modelling Using Dynamic Expansion Graph Model. AAAI 2022: 8857-8865 - [c9]Fei Ye, Adrian G. Bors:
Continual Variational Autoencoder Learning via Online Cooperative Memorization. ECCV (23) 2022: 531-549 - [c8]Fei Ye, Adrian G. Bors:
Learning an Evolved Mixture Model for Task-Free Continual Learning. ICIP 2022: 1936-1940 - [c7]Fei Ye, Adrian G. Bors:
Task-Free Continual Learning via Online Discrepancy Distance Learning. NeurIPS 2022 - 2021
- [c6]Fei Ye, Adrian G. Bors:
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process. ICCV 2021: 10675-10684 - [c5]Fei Ye, Adrian G. Bors:
InfoVAEGAN: Learning Joint Interpretable Representations by Information Maximization and Maximum Likelihood. ICIP 2021: 749-753 - [c4]Fei Ye, Adrian G. Bors:
Lifelong Twin Generative Adversarial Networks. ICIP 2021: 1289-1293 - 2020
- [c3]Fei Ye, Adrian G. Bors:
Learning Latent Representations Across Multiple Data Domains Using Lifelong VAEGAN. ECCV (20) 2020: 777-795 - [c2]Fei Ye, Adrian G. Bors:
Mixtures of Variational Autoencoders. IPTA 2020: 1-6 - [c1]Fei Ye, Adrian G. Bors:
Lifelong learning of interpretable image representations. IPTA 2020: 1-6
Informal and Other Publications
- 2022
- [i11]Fei Ye, Adrian G. Bors:
Supplemental Material: Lifelong Generative Modelling Using Dynamic Expansion Graph Model. CoRR abs/2203.13503 (2022) - [i10]Fei Ye, Adrian G. Bors:
Learning an evolved mixture model for task-free continual learning. CoRR abs/2207.05080 (2022) - [i9]Fei Ye, Adrian G. Bors:
Continual Variational Autoencoder Learning via Online Cooperative Memorization. CoRR abs/2207.10131 (2022) - [i8]Fei Ye, Adrian G. Bors:
Task-Free Continual Learning via Online Discrepancy Distance Learning. CoRR abs/2210.06579 (2022) - 2021
- [i7]Fei Ye, Adrian G. Bors:
Lifelong Teacher-Student Network Learning. CoRR abs/2107.04689 (2021) - [i6]Fei Ye, Adrian G. Bors:
Lifelong Mixture of Variational Autoencoders. CoRR abs/2107.04694 (2021) - [i5]Fei Ye, Adrian G. Bors:
InfoVAEGAN : learning joint interpretable representations by information maximization and maximum likelihood. CoRR abs/2107.04705 (2021) - [i4]Fei Ye, Adrian G. Bors:
Lifelong Twin Generative Adversarial Networks. CoRR abs/2107.04708 (2021) - [i3]Fei Ye, Adrian G. Bors:
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process. CoRR abs/2108.12278 (2021) - [i2]Fei Ye, Adrian G. Bors:
Lifelong Generative Modelling Using Dynamic Expansion Graph Model. CoRR abs/2112.08370 (2021) - 2020
- [i1]Fei Ye, Adrian G. Bors:
Learning latent representations across multiple data domains using Lifelong VAEGAN. CoRR abs/2007.10221 (2020)
Coauthor Index
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last updated on 2024-05-10 02:30 CEST by the dblp team
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