Picture for Long-Kai Huang

Long-Kai Huang

Learning Where to Edit Vision Transformers

Add code
Nov 04, 2024
Viaarxiv icon

Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation

Add code
Apr 23, 2024
Viaarxiv icon

Functional Protein Design with Local Domain Alignment

Add code
Apr 18, 2024
Viaarxiv icon

Invariant Test-Time Adaptation for Vision-Language Model Generalization

Add code
Mar 01, 2024
Figure 1 for Invariant Test-Time Adaptation for Vision-Language Model Generalization
Figure 2 for Invariant Test-Time Adaptation for Vision-Language Model Generalization
Figure 3 for Invariant Test-Time Adaptation for Vision-Language Model Generalization
Figure 4 for Invariant Test-Time Adaptation for Vision-Language Model Generalization
Viaarxiv icon

Concept-wise Fine-tuning Matters in Preventing Negative Transfer

Add code
Nov 12, 2023
Viaarxiv icon

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation

Add code
Jun 18, 2023
Viaarxiv icon

Learning to generate imaginary tasks for improving generalization in meta-learning

Add code
Jun 09, 2022
Figure 1 for Learning to generate imaginary tasks for improving generalization in meta-learning
Figure 2 for Learning to generate imaginary tasks for improving generalization in meta-learning
Figure 3 for Learning to generate imaginary tasks for improving generalization in meta-learning
Figure 4 for Learning to generate imaginary tasks for improving generalization in meta-learning
Viaarxiv icon

Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport

Add code
Mar 20, 2022
Figure 1 for Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport
Figure 2 for Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport
Figure 3 for Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport
Figure 4 for Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport
Viaarxiv icon

DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations

Add code
Jan 24, 2022
Figure 1 for DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations
Figure 2 for DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations
Figure 3 for DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations
Figure 4 for DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations
Viaarxiv icon