Fei Ye - RankMe

62 papers A* 18B 3Misc 2Journal 35Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Learning Adaptive and Expandable Mixture Model for Continual Learning. AAAI Fei Ye, YongCheng Zhong, Qihe Liu, Adrian G. Bors, Jingling Sun, Jinyu Guo, Shijie Zhou
2026	J	`jnl`	Learning dynamic representations via an optimally-weighted maximum mean discrepancy optimization framework for continual learning. Knowl. Based Syst. Kaihui Huang, Runqing Wu, Jinhui Shen, Hanyi Zhang, Lin Ge, Jinyu Guo, Fei Ye
2026	J	`jnl`	Online task-free continual learning via Expansible Vision Transformer. Pattern Recognit. Fei Ye, Adrian G. Bors
2026	J	`jnl`	Task-free continual generative modelling via dynamic teacher-student framework. Expert Syst. Appl. Fei Ye, Adrian G. Bors
2025	J	`jnl`	Continual Unsupervised Generative Modeling. IEEE Trans. Pattern Anal. Mach. Intell. Fei Ye, Adrian G. Bors
2025	A*	`conf`	Continual Unsupervised Generative Modelling via Online Optimal Transport. AAAI Fei Ye, Adrian G. Bors, Kun Zhang
2025	A*	`conf`	Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling. AAAI Fei Ye, Adrian G. Bors, Kun Zhang
2025	J	`jnl`	Evolving Ensemble Model based on Hilbert Schmidt Independence Criterion for task-free continual learning. Neurocomputing Fei Ye, Adrian G. Bors
2025	J	`jnl`	Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model. CoRR Runqing Wu, Fei Ye, Qihe Liu, Guoxi Huang, Jinyu Guo, Rongyao Hu
2025	J	`jnl`	Information-Theoretic Dual Memory System for Continual Learning. CoRR Runqing Wu, Kaihui Huang, Hanyi Zhang, Qihe Liu, Guojin Yu, Jingsong Deng, Fei Ye
2025	J	`jnl`	Information-Theoretic Dual Memory System for continual learning. Knowl. Based Syst. Runqing Wu, Kaihui Huang, Hanyi Zhang, Qihe Liu, Jinyu Guo, Jingsong Deng, Fei Ye
2025	A*	`conf`	Lifelong Scalable Generative System via Online Maximum Mean Discrepancy. AAAI Fei Ye, Adrian G. Bors
2025	A*	`conf`	Online Continual Learning via Dynamic Expandable Recursive Model. ACM Multimedia Fei Ye, Adrian G. Bors
2025	A*	`conf`	Online Task-Free Continual Learning via Dynamic Expansionable Memory Distribution. CVPR Fei Ye, Adrian G. Bors
2025	J	`jnl`	Online task-free continual learning via discrepancy mechanism. Knowl. Based Syst. Fei Ye, Adrian G. Bors
2025	J	`jnl`	Optimally-Weighted Maximum Mean Discrepancy Framework for Continual Learning. CoRR Kaihui Huang, Runqing Wu, Fei Ye
2025	J	`jnl`	Self-Controlled Dynamic Expansion Model for Continual Learning. CoRR Runqing Wu, Kaihui Huang, Hanyi Zhang, Fei Ye
2025	J	`jnl`	Training a Dynamic Growing Mixture Model for Lifelong Learning. IEEE Trans. Neural Networks Learn. Syst. Fei Ye, Adrian G. Bors
2024	J	`jnl`	Continual compression model for online continual learning. Appl. Soft Comput. Fei Ye, Adrian G. Bors
2024	J	`jnl`	Energy-Efficient Trajectory Optimization With Wireless Charging in UAV-Assisted MEC Based on Multi-Objective Reinforcement Learning. IEEE Trans. Mob. Comput. Fuhong Song, Mingsen Deng, Huanlai Xing, Yanping Liu, Fei Ye, Zhiwen Xiao
2024	J	`jnl`	Lifelong Dual Generative Adversarial Nets Learning in Tandem. IEEE Trans. Cybern. Fei Ye, Adrian G. Bors
2024	J	`jnl`	Lifelong Generative Adversarial Autoencoder. IEEE Trans. Neural Networks Learn. Syst. Fei Ye, Adrian G. Bors
2024	A*	`conf`	Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory. CVPR Fei Ye, Adrian G. Bors
2024	J	`jnl`	Self-Supervised Adversarial Variational Learning. Pattern Recognit. Fei Ye, Adrian G. Bors
2024	A*	`conf`	Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster. AAAI Fei Ye, Adrian G. Bors
2024	A*	`conf`	Task-Free Dynamic Sparse Vision Transformer for Continual Learning. AAAI Fei Ye, Adrian G. Bors
2023	Misc	`conf`	Compressing Cross-Domain Representation via Lifelong Knowledge Distillation. ICASSP Fei Ye, Adrian G. Bors
2023	A*	`conf`	Continual Variational Autoencoder via Continual Generative Knowledge Distillation. AAAI Fei Ye, Adrian G. Bors
2023	Misc	`conf`	Dynamic Scalable Self-Attention Ensemble for Task-Free Continual Learning. ICASSP Fei Ye, Adrian G. Bors
2023	J	`jnl`	Dynamic Self-Supervised Teacher-Student Network Learning. IEEE Trans. Pattern Anal. Mach. Intell. Fei Ye, Adrian G. Bors
2023	A*	`conf`	Learning Dynamic Latent Spaces for Lifelong Generative Modelling. AAAI Fei Ye, Adrian G. Bors
2023	A*	`conf`	Lifelong Compression Mixture Model via Knowledge Relationship Graph. AAAI Fei Ye, Adrian G. Bors
2023	J	`jnl`	Lifelong Mixture of Variational Autoencoders. IEEE Trans. Neural Networks Learn. Syst. Fei Ye, Adrian G. Bors
2023	A*	`conf`	Lifelong Variational Autoencoder via Online Adversarial Expansion Strategy. AAAI Fei Ye, Adrian G. Bors
2023	A*	`conf`	Self-Evolved Dynamic Expansion Model for Task-Free Continual Learning. ICCV Fei Ye, Adrian G. Bors
2023	A*	`conf`	Wasserstein Expansible Variational Autoencoder for Discriminative and Generative Continual Learning. ICCV Fei Ye, Adrian G. Bors
2022	—	`conf`	Continual Variational Autoencoder Learning via Online Cooperative Memorization. ECCV (23) Fei Ye, Adrian G. Bors
2022	J	`jnl`	Continual Variational Autoencoder Learning via Online Cooperative Memorization. CoRR Fei Ye, Adrian G. Bors
2022	J	`jnl`	Deep Mixture Generative Autoencoders. IEEE Trans. Neural Networks Learn. Syst. Fei Ye, Adrian G. Bors
2022	B	`conf`	Learning an Evolved Mixture Model for Task-Free Continual Learning. ICIP Fei Ye, Adrian G. Bors
2022	J	`jnl`	Learning an evolved mixture model for task-free continual learning. CoRR Fei Ye, Adrian G. Bors
2022	A*	`conf`	Lifelong Generative Modelling Using Dynamic Expansion Graph Model. AAAI Fei Ye, Adrian G. Bors
2022	J	`jnl`	Lifelong Teacher-Student Network Learning. IEEE Trans. Pattern Anal. Mach. Intell. Fei Ye, Adrian G. Bors
2022	J	`jnl`	Supplemental Material: Lifelong Generative Modelling Using Dynamic Expansion Graph Model. CoRR Fei Ye, Adrian G. Bors
2022	A*	`conf`	Task-Free Continual Learning via Online Discrepancy Distance Learning. NeurIPS Fei Ye, Adrian G. Bors
2022	J	`jnl`	Task-Free Continual Learning via Online Discrepancy Distance Learning. CoRR Fei Ye, Adrian G. Bors
2021	J	`jnl`	InfoVAEGAN : learning joint interpretable representations by information maximization and maximum likelihood. CoRR Fei Ye, Adrian G. Bors
2021	B	`conf`	InfoVAEGAN: Learning Joint Interpretable Representations by Information Maximization and Maximum Likelihood. ICIP Fei Ye, Adrian G. Bors
2021	J	`jnl`	Learning joint latent representations based on information maximization. Inf. Sci. Fei Ye, Adrian G. Bors
2021	J	`jnl`	Lifelong Generative Modelling Using Dynamic Expansion Graph Model. CoRR Fei Ye, Adrian G. Bors
2021	A*	`conf`	Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process. ICCV Fei Ye, Adrian G. Bors
2021	J	`jnl`	Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process. CoRR Fei Ye, Adrian G. Bors
2021	J	`jnl`	Lifelong Mixture of Variational Autoencoders. CoRR Fei Ye, Adrian G. Bors
2021	J	`jnl`	Lifelong Teacher-Student Network Learning. CoRR Fei Ye, Adrian G. Bors
2021	B	`conf`	Lifelong Twin Generative Adversarial Networks. ICIP Fei Ye, Adrian G. Bors
2021	J	`jnl`	Lifelong Twin Generative Adversarial Networks. CoRR Fei Ye, Adrian G. Bors
2020	J	`jnl`	Dense adaptive cascade forest: a self-adaptive deep ensemble for classification problems. Soft Comput. Haiyang Wang, Yong Tang, Ziyang Jia, Fei Ye
2020	—	`conf`	Learning Latent Representations Across Multiple Data Domains Using Lifelong VAEGAN. ECCV (20) Fei Ye, Adrian G. Bors
2020	J	`jnl`	Learning latent representations across multiple data domains using Lifelong VAEGAN. CoRR Fei Ye, Adrian G. Bors
2020	—	`conf`	Lifelong learning of interpretable image representations. IPTA Fei Ye, Adrian G. Bors
2020	—	`conf`	Mixtures of Variational Autoencoders. IPTA Fei Ye, Adrian G. Bors
2018	J	`jnl`	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. Fei Ye