collaborators

5 papers

cs.AI2026

Robustness Analysis of Agentic AI to Inconsistent and Incomplete Tool Responses

Jiachen Xu, Torben Bach Pedersen, Zhongming Yao +2

Tool-using agents increasingly rely on external tools to complete multi-step tasks, but tool returns can fail in different ways and require different recovery actions. Existing rob…

cs.DB2026

VeriTS: Verifiable Model-Enhanced Time-Series Queries on Blockchain Systems

Zhongming Yao, Jun Pang, Chenxu Wang +3

Blockchain data is temporal. Every transaction carries a timestamp and the chain imposes a total order, so on-chain data forms per-source time-series streams. However, existing sys…

cs.AI2026

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

Xiaoyu Zhang, Qiuye Sun, Jiachen Xu +2

Energy system operation contains a loop of work that automation has never taken over: posing the optimization problem the current cycle should solve, disposing of infeasibility, se…

cs.DB2026

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

Zhongming Yao, Junchang Xin, Yumeng Song +7

Due to their increasingly large volumes, outsourcing of trajectory storage and querying to third-party service providers has become attractive. However, in such outsourced environm…

cs.DB2026

Replacing Multi-Step Assembly of Data Preparation Pipelines with One-Step LLM Pipeline Generation for Table QA

Fengyu Li, Junhao Zhu, Kaishi Song +4

Table Question Answering (TQA) aims to answer natural language questions over structured tables. Large Language Models (LLMs) enable promising solutions to this problem, with opera…