Fei Ye
29 papers · 2010–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (33) π Conference Polyglot Β· Silver π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Deep Specialist
(17)
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Grand Slam
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Keyword Champion
(5)
π€
Dynamic Duo
(19)
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Renaissance Researcher
(5)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(90)
Top co-authors
Research topics
Machine Learning
(22)
Learning Types Β· Machine Learning
(18)
Deep Learning
(15)
Models
(12)
Application Areas
(7)
Learning Types Β· Deep Learning
(7)
Artificial Intelligence
(5)
Architectures
(5)
Core AI
(5)
Core Methods
(5)
Optimization & Theory
(5)
Mathematics & Optimization
(3)
Optimization
(2)
Techniques
(2)
Computer Vision
(1)
Keywords
continual learning
(14)
generative model
(8)
catastrophic forgetting
(7)
variational autoencoder
(6)
model expansion
(5)
online learning
(4)
representation learning
(4)
lifelong learning
(4)
knowledge distillation
(4)
unsupervised learning
(3)
dynamic expansion
(3)
knowledge transfer
(3)
task-free continual learning
(3)
diffusion model
(3)
task-free learning
(3)
memory management
(2)
mixture model
(2)
attention mechanism
(2)
maximum mean discrepancy
(2)
protein design
(2)
Papers
Learning Adaptive and Expandable Mixture Model for Continual Learning
AAAI 2026
Continual Unsupervised Generative Modelling via Online Optimal Transport
AAAI 2025
DPLM-2: A Multimodal Diffusion Protein Language Model
ICLR 2025
Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling
AAAI 2025
Elucidating the Design Space of Multimodal Protein Language Models
ICML 2025
Lifelong Scalable Generative System via Online Maximum Mean Discrepancy
AAAI 2025
Online Task-Free Continual Learning via Dynamic Expansionable Memory Distribution
CVPR 2025
ProteinBench: A Holistic Evaluation of Protein Foundation Models
ICLR 2025
Diffusion Language Models Are Versatile Protein Learners
ICML 2024
Layered Rendering Diffusion Model for Controllable Zero-Shot Image Synthesis
ECCV 2024
Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory
CVPR 2024
Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster
AAAI 2024
Task-Free Dynamic Sparse Vision Transformer for Continual Learning
AAAI 2024
Continual Variational Autoencoder via Continual Generative Knowledge Distillation
AAAI 2023
Learning Dynamic Latent Spaces for Lifelong Generative Modelling
AAAI 2023
Learning Harmonic Molecular Representations on Riemannian Manifold
ICLR 2023
Lifelong Compression Mixture Model via Knowledge Relationship Graph
AAAI 2023
Lifelong Variational Autoencoder via Online Adversarial Expansion Strategy
AAAI 2023
On Pre-training Language Model for Antibody
ICLR 2023
Self-Evolved Dynamic Expansion Model for Task-Free Continual Learning
ICCV 2023
Structure-informed Language Models Are Protein Designers
ICML 2023
Wasserstein Expansible Variational Autoencoder for Discriminative and Generative Continual Learning
ICCV 2023
Continual Variational Autoencoder Learning via Online Cooperative Memorization
ECCV 2022
Lifelong Generative Modelling Using Dynamic Expansion Graph Model
AAAI 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning
NeurIPS 2022
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process
ICCV 2021
Learning latent representations across multiple data domains using Lifelong VAEGAN
ECCV 2020
Libra: Divide and Conquer to Verify Forwarding Tables in Huge Networks
NSDI 2014
Rate Minimaxity of the Lasso and Dantzig Selector for the Loss in Balls
JMLR 2010