Zhen Fang

papers

596

total citations

papers (14)

Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources

NEURIPS 2023arXiv

citations

Invariant Learning via Probability of Sufficient and Necessary Causes

NEURIPS 2023arXiv

citations

KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection

ICCV 2023arXiv

citations

Meta OOD Learning For Continuously Adaptive OOD Detection

ICCV 2023arXiv

citations

Learning Robust Spectral Dynamics for Temporal Domain Generalization

NEURIPS 2025arXiv

citations

Deep Kernel Relative Test for Machine-generated Text Detection

ICLR 2025

citations

NLPrompt: Noise-Label Prompt Learning for Vision-Language Models

CVPR 2025arXiv

citations

SODA: Robust Training of Test-Time Data Adaptors

NEURIPS 2023arXiv

citations

Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer

ICLR 2025

citations

Confident Anchor-Induced Multi-Source Free Domain Adaptation

NEURIPS 2021

citations

On the Provable Importance of Gradients for Autonomous Language-Assisted Image Clustering

ICCV 2025

citations

Zhen Fang

papers (14)

Federated Class-Incremental Learning

Is Out-of-Distribution Detection Learnable?

Learning to Augment Distributions for Out-of-distribution Detection

Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources

Invariant Learning via Probability of Sufficient and Necessary Causes

KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection

Meta OOD Learning For Continuously Adaptive OOD Detection

Learning Robust Spectral Dynamics for Temporal Domain Generalization

Deep Kernel Relative Test for Machine-generated Text Detection

NLPrompt: Noise-Label Prompt Learning for Vision-Language Models

SODA: Robust Training of Test-Time Data Adaptors

Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer

Confident Anchor-Induced Multi-Source Free Domain Adaptation

On the Provable Importance of Gradients for Autonomous Language-Assisted Image Clustering

papers (14)

Federated Class-Incremental Learning

Is Out-of-Distribution Detection Learnable?

Learning to Augment Distributions for Out-of-distribution Detection

Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources

Invariant Learning via Probability of Sufficient and Necessary Causes

KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection

Meta OOD Learning For Continuously Adaptive OOD Detection

Learning Robust Spectral Dynamics for Temporal Domain Generalization

Deep Kernel Relative Test for Machine-generated Text Detection

NLPrompt: Noise-Label Prompt Learning for Vision-Language Models

SODA: Robust Training of Test-Time Data Adaptors

Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer

Confident Anchor-Induced Multi-Source Free Domain Adaptation

On the Provable Importance of Gradients for Autonomous Language-Assisted Image Clustering