Fei Ye

According to our database, Fei Ye authored at least 30 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Self-Supervised Adversarial Variational Learning.

Fei Ye, Adrian G. Bors

Pattern Recognit., April, 2024

Lifelong Dual Generative Adversarial Nets Learning in Tandem.

Fei Ye, Adrian G. Bors

IEEE Trans. Cybern., March, 2024

Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster.

Fei Ye, Adrian G. Bors

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Task-Free Dynamic Sparse Vision Transformer for Continual Learning.

Fei Ye, Adrian G. Bors

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Dynamic Self-Supervised Teacher-Student Network Learning.

Fei Ye, Adrian G. Bors

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Lifelong Mixture of Variational Autoencoders.

Fei Ye, Adrian G. Bors

IEEE Trans. Neural Networks Learn. Syst., 2023

Self-Evolved Dynamic Expansion Model for Task-Free Continual Learning.

Fei Ye, Adrian G. Bors

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Wasserstein Expansible Variational Autoencoder for Discriminative and Generative Continual Learning.

Fei Ye, Adrian G. Bors

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Compressing Cross-Domain Representation via Lifelong Knowledge Distillation.

Fei Ye, Adrian G. Bors

Proceedings of the IEEE International Conference on Acoustics, 2023

Dynamic Scalable Self-Attention Ensemble for Task-Free Continual Learning.

Fei Ye, Adrian G. Bors

Proceedings of the IEEE International Conference on Acoustics, 2023

Continual Variational Autoencoder via Continual Generative Knowledge Distillation.

Fei Ye, Adrian G. Bors

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Lifelong Variational Autoencoder via Online Adversarial Expansion Strategy.

Fei Ye, Adrian G. Bors

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Lifelong Compression Mixture Model via Knowledge Relationship Graph.

Fei Ye, Adrian G. Bors

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Learning Dynamic Latent Spaces for Lifelong Generative Modelling.

Fei Ye, Adrian G. Bors

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Deep Mixture Generative Autoencoders.

Fei Ye, Adrian G. Bors

IEEE Trans. Neural Networks Learn. Syst., 2022

Lifelong Teacher-Student Network Learning.

Fei Ye, Adrian G. Bors

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Supplemental Material: Lifelong Generative Modelling Using Dynamic Expansion Graph Model.

Fei Ye, Adrian G. Bors

CoRR, 2022

Task-Free Continual Learning via Online Discrepancy Distance Learning.

Fei Ye, Adrian G. Bors

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning an Evolved Mixture Model for Task-Free Continual Learning.

Fei Ye, Adrian G. Bors

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Continual Variational Autoencoder Learning via Online Cooperative Memorization.

Fei Ye, Adrian G. Bors

Proceedings of the Computer Vision - ECCV 2022, 2022

Lifelong Generative Modelling Using Dynamic Expansion Graph Model.

Fei Ye, Adrian G. Bors

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Learning joint latent representations based on information maximization.

Fei Ye, Adrian G. Bors

Inf. Sci., 2021

Lifelong Twin Generative Adversarial Networks.

Fei Ye, Adrian G. Bors

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

InfoVAEGAN: Learning Joint Interpretable Representations by Information Maximization and Maximum Likelihood.

Fei Ye, Adrian G. Bors

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process.

Fei Ye, Adrian G. Bors

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Dense adaptive cascade forest: a self-adaptive deep ensemble for classification problems.

Haiyang Wang, Yong Tang, Ziyang Jia, Fei Ye

Soft Comput., 2020

Lifelong learning of interpretable image representations.

Fei Ye, Adrian G. Bors

Proceedings of the Tenth International Conference on Image Processing Theory, 2020

Mixtures of Variational Autoencoders.

Fei Ye, Adrian G. Bors

Proceedings of the Tenth International Conference on Image Processing Theory, 2020

Learning Latent Representations Across Multiple Data Domains Using Lifelong VAEGAN.

Fei Ye, Adrian G. Bors

Proceedings of the Computer Vision - ECCV 2020, 2020

2018

Evolving the SVM model based on a hybrid method using swarm optimization techniques in combination with a genetic algorithm for medical diagnosis.

Fei Ye

Multim. Tools Appl., 2018