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Yujin Lee

3 accepted papers

2026

Bidirectional Multimodal Prompt Learning with Scale-Aware Training for Few-Shot Multi-Class Anomaly Detection

CVPR 2026

Few-shot multi-class anomaly detection is crucial in real industrial settings, where only a few normal samples are available while numerous object types must be inspected. This setting is challenging as defect patterns vary widely across categories while normal samples remain scarce. Existing vision

Cited by 0SourcecodeScholar
2026

Optimizing Preferential Rate in Retail Lending with Causal Inference and Domain Adaptation

AAAI 2026technical

In retail lending, offering preferential interest rates is a core marketing instrument for balancing customer acquisition with portfolio profitability. Accurately predicting the effect of interest-rate discounts for each customer is pivotal for optimizing the discount strategy: offering overly gener

Cited by 0SourcePDFScholar
2025

Sparse Structure Exploration and Re-optimization for Vision Transformer

UAI 2025

Vision Transformers (ViTs) achieve outstanding performance by effectively capturing long-range dependencies between image patches (tokens). However, the high computational cost and memory requirements of ViTs present challenges for model compression and deployment on edge devices. In this study, we