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20242026
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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…

cs.DB2026

CLEAR: A Knowledge-Centric Vessel Trajectory Analysis Platform

Hengyu Liu, Tianyi Li, Haoyu Wang +5

Vessel trajectory data from the Automatic Identification System (AIS) is used widely in maritime analytics. Yet, analysis is difficult for non-expert users due to the incompletenes…

cs.DB2026

VISTA: Knowledge-Driven Vessel Trajectory Imputation with Repair Provenance

Hengyu Liu, Tianyi Li, Haoyu Wang +4

Repairing incomplete trajectory data is essential for downstream spatio-temporal applications. Yet, existing repair methods focus solely on reconstruction without documenting the r…

cs.DB2025

ACTIVE: Continuous Similarity Search for Vessel Trajectories

Tiantian Liu, Hengyu Liu, Tianyi Li +2

Publicly available vessel trajectory data is emitted continuously from the global AIS system. Continuous trajectory similarity search on this data has applications in, e.g., mariti…

cs.DB2025

Quantifying Point Contributions: A Lightweight Framework for Efficient and Effective Query-Driven Trajectory Simplification

Yumeng Song, Yu Gu, Tianyi Li +3

As large volumes of trajectory data accumulate, simplifying trajectories to reduce storage and querying costs is increasingly studied. Existing proposals face three main problems.…