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Jiaqi Zhu

4 papers hereh-index 7228 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CV1
  • cs.DB1
same name
  • Jiaqi Zhu — 6 papers, h 7
  • Jiaqi Zhu — 4 papers, h 2
  • Jiaqi Zhu — 4 papers, h 2
  • Jiaqi Zhu — 3 papers, h 4
  • Jiaqi Zhu — 3 papers, h 0
  • Jiaqi Zhu — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedMETER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection

23 citations · 23 across the 3 of their papers we have counts for

collaborators

4 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.CV2024

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…

cs.LG2023★ 23 cited

METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection

Jiaqi Zhu, Shaofeng Cai, Fang Deng +2

Real-time analytics and decision-making require online anomaly detection (OAD) to handle drifts in data streams efficiently and effectively. Unfortunately, existing approaches are…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.