Fei Zhu
19 papers · 2021–2026 · 8 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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🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (42) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint
🤝
Dynamic Duo
(12)
🗃️
Keyword Collector
(75)
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(12)
Learning Types · Machine Learning
(11)
Artificial Intelligence
(10)
Deep Learning
(9)
Core AI · Artificial Intelligence
(7)
Application Areas
(5)
Computer Vision
(4)
Learning Paradigms
(4)
Learning Types · Deep Learning
(4)
Analysis
(2)
Architectures
(2)
Core AI · Computer Vision
(2)
Core Methods
(2)
Models
(2)
Optimization & Theory
(2)
Keywords
catastrophic forgetting
(5)
continual learning
(5)
out-of-distribution detection
(3)
representation learning
(2)
federated learning
(2)
knowledge distillation
(2)
vision-language model
(2)
prompt learning
(2)
large multimodal model
(2)
class-incremental learning
(2)
stability-plasticity trade-off
(2)
misclassification detection
(2)
instruction tuning
(2)
domain adaptation
(2)
open-world learning
(2)
confidence calibration
(2)
few-shot learning
(1)
feature learning
(1)
vision transformer
(1)
3d reconstruction
(1)
Papers
Beyond Myopic Alignment: Lookahead Optimization for Online Class-Incremental Learning
CVPR 2026
ChronoGS: Disentangling Invariants and Changes in Multi-Period Scenes
CVPR 2026
FedDNA: DNA Sequence Reconstruction via Deep Evidential Learning and Personalized Federated Aggregation
AAAI 2026
C-CLIP: Multimodal Continual Learning for Vision-Language Model
ICLR 2025
Federated Continual Instruction Tuning
ICCV 2025
HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model
ACL 2025
Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection
ICLR 2025
ModalPrompt: Towards Efficient Multimodal Continual Instruction Tuning with Dual-Modality Guided Prompt
EMNLP 2025
Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off
AAAI 2025
Active Generalized Category Discovery
CVPR 2024
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery
NeurIPS 2024
MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution
NeurIPS 2024
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning
ECCV 2024
RCL: Reliable Continual Learning for Unified Failure Detection
CVPR 2024
Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval
CVPR 2023
OpenMix: Exploring Outlier Samples for Misclassification Detection
CVPR 2023
Rethinking Confidence Calibration for Failure Prediction
ECCV 2022
Class-Incremental Learning via Dual Augmentation
NeurIPS 2021
Prototype Augmentation and Self-Supervision for Incremental Learning
CVPR 2021