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20152026
most citedContext-Aware Attention-Based Data Augmentation for POI Recommendation

24 citations · 62 across the 35 of their papers we have counts for

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Showing 2026 · cs.DBShow all

5 papers · 2 filters

cs.DB2026

Cost-Effective Numerical QA over Semi-Structured Table: Structuring, Resolution, Planning

Feng Luo, Hui Luo, Zhifeng Bao +3

Semi-structured tables encode rich semantic information through diverse layout elements, such as hierarchical row and column headers. Answering numerical questions over such data i…

cs.DB2026

GRAFT: Graph-Matched Retrieval and Fusion of Tables in Data Lakes

Daomin Ji, Hui Luo, Zhifeng Bao +2

Autonomous data agents resolve analytical queries by retrieving and reasoning over evidence in tabular data lakes. Existing methods score tables independently against the query and…

cs.DB2026

Unified Data Discovery across Query Modalities and User Intents

Tingting Wang, Shixun Huang, Zhifeng Bao +4

Data discovery - retrieving relevant tables from a data lake in response to user queries - is a fundamental building block for downstream analytics. In practice, data discovery mus…

cs.DB2026

Shape-Agnostic Table Overlap Discovery: A Maximum Common Subhypergraph Approach

Ge Lee, Shixun Huang, Zhifeng Bao +3

Understanding how two tables overlap is useful for many data management tasks, but challenging because tables often differ in row and column orders and lack reliable metadata in pr…

cs.DB2026

Decomposition-Driven Multi-Table Retrieval and Reasoning for Numerical Question Answering

Feng Luo, Hai Lan, Hui Luo +4

In this paper, we study the problem of numerical multi-table question answering (MTQA) over large-scale table collections (e.g., online data repositories). This task is essential i…