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Zelin Zhu

2 accepted papers

2026

RoS-Guard: Robust and Scalable Online Change Detection with Delay-Optimal Guarantees

AAAI 2026technical

Online change detection (OCD) aims to rapidly identify change points in streaming data and is critical in applications such as power system monitoring, wireless network sensing, and financial anomaly detection. Existing OCD methods typically assume precise system knowledge, which is unrealistic due

Cited by 0SourcePDFScholar
2024

Triadic-OCD: Asynchronous Online Change Detection with Provable Robustness, Optimality, and Convergence

ICML 2024poster

The primary goal of online change detection (OCD) is to promptly identify changes in the data stream. OCD problem find a wide variety of applications in diverse areas, e.g., security detection in smart grids and intrusion detection in communication networks. Prior research usually assumes precise kn…

Cited by 0SourcePDFScholar