Skip to content

Author

Zhongming Yao

We have 7 of 16 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Book Open access Aug 2026

ReCATS: Replay-Free Continual Anomaly Detection for Non-Stationary Multivariate Time Series

Multivariate time series anomaly detection is critical in safety-critical domains such as industrial monitoring and financial systems. However, real-world time series are inherently non-stationary, with evolving data distributions driven by changing operational regimes and system dynamics. As a result, most existing me...

Qiuyang Li, Qian Ma, Zhong-Ming Yao et al. · 0 citations
Preprint Aug 2026

VTRQ: Enabling Verifiable Trajectory Range Queries in Hybrid-Storage Blockchains

Due to their increasingly large volumes, outsourcing of trajectory storage and querying to third-party service providers has become attractive. However, in such outsourced environments, service providers may return incorrect, e.g., incomplete, tampered, or invalid query results, making verifiability of query results an...

Zhongming Yao, Junchang Xin, Yumeng Song et al. · 0 citations
Book Open access Aug 2026

ReCATS: Replay-Free Continual Anomaly Detection for Non-Stationary Multivariate Time Series

Multivariate time series anomaly detection is critical in safety-critical domains such as industrial monitoring and financial systems. However, real-world time series are inherently non-stationary, with evolving data distributions driven by changing operational regimes and system dynamics. As a result, most existing me...

Qiuyang Li, Q. Ma, Zhongming Yao et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Robustness Analysis of Agentic AI to Inconsistent and Incomplete Tool Responses

The results show that tool failures can be recognized at the return boundary, but reliable diagnosis requires combining multiple signals, and likelihood-based signals clearly capture incomplete returns and some direct inconsistencies, while action-based signals reveal how strongly a failure changes the next decision.

Jiachen Xu, T. Pedersen, Zhongming Yao et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Localizing Emergent Failures in Agentic AI: Recovering Minimal Repair Families via Counterfactual Replay

Graph-Constrained Joint Replay (GCJR) is proposed, which slices failure-relevant events from an execution dependency graph, constructs graph-feasible singleton and pair candidates, and verifies them by replay with paired clean counterparts, and is exact within its declared graph domain.

Bingbing Li, Yumeng Song, Zhongming Yao et al. · 0 citations
Book Open access Jul 2026

One-for-All Community Search on Unseen Graphs

A Spectral-Aware Feature Alignment module to unify feature dimensionality and align cross-domain semantics in a community-aware manner and a Graph Diffusion Tokenized Transformer that constructs hybrid token sequences from local and global structural contexts for Transformer encoding, and applies diffusion-based refine...

Mo Li, Zhaosong Zhao, Linlin Ding et al. · 0 citations
Preprint Aug 2026

A-CPES: A Reference Framework for Agentic AI in Cyber-Physical Energy Systems

It is argued the loop is indivisible, tune where and how tightly it may close, state eight structural failure modes as falsifiable predictions, and specify six governance modules that rebuild the authorization frame until it covers the loop, before the loop starts turning.

Xiao-Yu Zhang, Qiu-Ye Sun, Jiachen Xu et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.