3 papers
cs.LG2026
Catching Every Ripple: Enhanced Anomaly Awareness via Dynamic Concept Adaptation
Jiaqi Zhu, Shaofeng Cai, Jie Chen +3
Online anomaly detection (OAD) plays a pivotal role in real-time analytics and decision-making for evolving data streams. However, existing methods often rely on costly retraining…
cs.DB2025
In-Context Adaptation to Concept Drift for Learned Database Operations
Jiaqi Zhu, Shaofeng Cai, Yanyan Shen +3
Machine learning has demonstrated transformative potential for database operations, such as query optimization and in-database data analytics. However, dynamic database environment…
cs.CV2025
Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection
Jiaqi Zhu, Shaofeng Cai, Fang Deng +2
Large vision-language models (LVLMs) are markedly proficient in deriving visual representations guided by natural language. Recent explorations have utilized LVLMs to tackle zero-s…