Fei Ye

发表

Semi-Supervised Learning of Bearing Anomaly Detection via Deep Variational Autoencoders /Author=Zhang, S.; Ye, F.; Wang, B.; Habetler, T.G. /CreationDate=December 13, 2019 /Subject=Electric Systems, Machine Learning

T. Habetler, S. Zhang, Fei Ye, 2019 .

Few-Shot Bearing Anomaly Detection via Model-Agnostic Meta-Learning

T. Habetler, S. Zhang, Fei Ye, 2020, 2020 23rd International Conference on Electrical Machines and Systems (ICEMS).

ESAD: End-to-end Semi-supervised Anomaly Detection

Ya Zhang, Fei Ye, Yanfeng Wang, 2021, BMVC.

Continual Variational Autoencoder Learning via Online Cooperative Memorization

A. Bors, Fei Ye, 2022, ArXiv.

Learning an evolved mixture model for task-free continual learning

A. Bors, Fei Ye, 2022, ArXiv.

Task-Free Continual Learning via Online Discrepancy Distance Learning

A. Bors, Fei Ye, 2022, NeurIPS.

Continual Variational Autoencoder Learning via Online Cooperative Memorization

A. Bors, Fei Ye, 2022, ECCV.

Learning an Evolved Mixture Model for Task-Free Continual Learning

A. Bors, Fei Ye, 2022, 2022 IEEE International Conference on Image Processing (ICIP).

Lifelong Teacher-Student Network Learning

Fei Ye, Adrian Bors, A. Bors, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Attribute Restoration Framework for Anomaly Detection

Cewu Lu, Ya Zhang, Fei Ye, 2019, IEEE Transactions on Multimedia.

Inverse-Transform AutoEncoder for Anomaly Detection pdf

Cewu Lu, Ya Zhang, Fei Ye, 2019, ArXiv.

Lifelong Mixture of Variational Autoencoders

Adrian G. Bors, Fei Ye, A. Bors, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Learning latent representations across multiple data domains using Lifelong VAEGAN pdf

Adrian G. Bors, Fei Ye, A. Bors, 2020, ECCV.

Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework pdf

Huangjie Zheng, Fei Ye, Chaoqin Huang, 2020, 2021 IEEE International Conference on Image Processing (ICIP).

Learning joint latent representations based on information maximization

Adrian G. Bors, Fei Ye, A. Bors, 2021, Inf. Sci..

Lifelong Generative Modelling Using Dynamic Expansion Graph Model pdf

Adrian G. Bors, Fei Ye, A. Bors, 2021, AAAI.

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

Adrian G. Bors, Fei Ye, A. Bors, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Semi-Supervised Bearing Fault Diagnosis and Classification Using Variational Autoencoder-Based Deep Generative Models

Thomas G. Habetler, Shen Zhang, Fei Ye, 2020, IEEE Sensors Journal.

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

A. Bors, Fei Ye, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Dynamic Self-Supervised Teacher-Student Network Learning

A. Bors, Fei Ye, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Lifelong learning of interpretable image representations

Adrian G. Bors, Fei Ye, A. Bors, 2020, 2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA).

Deep Mixture Generative Autoencoders

A. Bors, Fei Ye, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Mixtures of Variational Autoencoders

Adrian G. Bors, Fei Ye, A. Bors, 2020, 2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA).

Few-Shot Bearing Fault Diagnosis Based on Model-Agnostic Meta-Learning

T. Habetler, Bingnan Wang, Fei Ye, 2020, IEEE Transactions on Industry Applications.

Learning Harmonic Molecular Representations on Riemannian Manifold

Hao Zhou, Fei Ye, Shih‐Ya Chen, 2023, ICLR.

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

Adrian G. Bors, Fei Ye, A. Bors, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

ESAD: End-to-end Semi-supervised Anomaly Detection

Qi Tian, Fei Ye, Ya Zhang, 2020, BMVC.

Semi-Supervised Learning of Bearing Anomaly Detection via Deep Variational Autoencoders

T. Habetler, S. Zhang, Fei Ye, 2019, ArXiv.

Pan-sharpening via a gradient-based deep network prior

Fei Ye, Yecai Guo, Peixian Zhuang, 2019, Signal Process. Image Commun..

Lifelong Compression Mixture Model via Knowledge Relationship Graph

A. Bors, Fei Ye, 2023, AAAI.

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

A. Bors, Fei Ye, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Task-Free Dynamic Sparse Vision Transformer for Continual Learning

A. Bors, Fei Ye, 2024, AAAI.

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

A. Bors, Fei Ye, 2024, AAAI.

Wasserstein Expansible Variational Autoencoder for Discriminative and Generative Continual Learning

A. Bors, Fei Ye, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Learning Dynamic Latent Spaces for Lifelong Generative Modelling

A. Bors, Fei Ye, 2023, AAAI.

Compressing Cross-Domain Representation via Lifelong Knowledge Distillation

A. Bors, Fei Ye, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Lifelong Dual Generative Adversarial Nets Learning in Tandem

A. Bors, Fei Ye, 2023, IEEE Transactions on Cybernetics.