Fei Zhu

papers

179

total citations

papers (12)

Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection

ICLR 2025arXiv

citations

RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness

NEURIPS 2025arXiv

citations

Federated Continual Instruction Tuning

ICCV 2025arXiv

citations

RCL: Reliable Continual Learning for Unified Failure Detection

CVPR 2024

citations

Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off

AAAI 2025arXiv

citations

Class-Incremental Learning via Dual Augmentation

NEURIPS 2021

citations

Prototype Augmentation and Self-Supervision for Incremental Learning

CVPR 2021

citations

Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval

CVPR 2023

citations

Fei Zhu

papers (12)

Rethinking Confidence Calibration for Failure Prediction

OpenMix: Exploring Outlier Samples for Misclassification Detection

Active Generalized Category Discovery

C-CLIP: Multimodal Continual Learning for Vision-Language Model

Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection

RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness

Federated Continual Instruction Tuning

RCL: Reliable Continual Learning for Unified Failure Detection

Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off

Class-Incremental Learning via Dual Augmentation

Prototype Augmentation and Self-Supervision for Incremental Learning

Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval

papers (12)

Rethinking Confidence Calibration for Failure Prediction

OpenMix: Exploring Outlier Samples for Misclassification Detection

Active Generalized Category Discovery

C-CLIP: Multimodal Continual Learning for Vision-Language Model

Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection

RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness

Federated Continual Instruction Tuning

RCL: Reliable Continual Learning for Unified Failure Detection

Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off

Class-Incremental Learning via Dual Augmentation

Prototype Augmentation and Self-Supervision for Incremental Learning

Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval