Fei Zhu
17 papers · 2021–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π§ Keyword Pioneer π Cross-Pollinator (11) π Conference Polyglot (8) π Renaissance Researcher (5)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(40)
π§
Keyword Pioneer
π€
Dynamic Duo
(12)
π
Keyword Champion
(2)
β‘
Prolific Year
(5)
π
Century Club
(16)
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(63)
Conferences
CVPR (5)
NIPS (3)
AAAI (2)
ECCV (2)
ICLR (2)
ACL (1)
EMNLP (1)
ICCV (1)
Top co-authors
Keywords
catastrophic forgetting
(4)
continual learning
(4)
representation learning
(2)
large multimodal model
(2)
knowledge distillation
(2)
instruction tuning
(2)
open-world learning
(2)
out-of-distribution detection
(2)
misclassification detection
(2)
federated learning
(2)
confidence calibration
(2)
object detection
(1)
uncertainty quantification
(1)
self-supervised learning
(1)
domain adaptation
(1)
active learning
(1)
feature learning
(1)
incremental learning
(1)
vision transformer
(1)
cross-modal learning
(1)
Papers
FedDNA: DNA Sequence Reconstruction via Deep Evidential Learning and Personalized Federated Aggregation
AAAI 2026
Federated Continual Instruction Tuning
ICCV 2025
Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off
AAAI 2025
Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection
ICLR 2025
HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model
ACL 2025
C-CLIP: Multimodal Continual Learning for Vision-Language Model
ICLR 2025
ModalPrompt: Towards Efficient Multimodal Continual Instruction Tuning with Dual-Modality Guided Prompt
EMNLP 2025
RCL: Reliable Continual Learning for Unified Failure Detection
CVPR 2024
MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution
NIPS 2024
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery
NIPS 2024
Active Generalized Category Discovery
CVPR 2024
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning
ECCV 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
NIPS 2021
Prototype Augmentation and Self-Supervision for Incremental Learning
CVPR 2021