activity
20122025
most citedDatabase Meets Deep Learning: Challenges and Opportunities

149 citations · 610 across the 33 of their papers we have counts for

collaborators

33 papers

cs.DB2025

NeurBench: A Benchmark Suite for Learned Database Components with Drift Modeling

Zhanhao Zhao, Haotian Gao, Naili Xing +5

Learned database components, which deeply integrate machine learning into their design, have been extensively studied in recent years. Given the dynamism of databases, where data a…

cs.DB2024★ 3 cited

A Comprehensive Study of Shapley Value in Data Analytics

Hong Lin, Shixin Wan, Zhongle Xie +4

Over the recent years, Shapley value (SV), a solution concept from cooperative game theory, has found numerous applications in data analytics (DA). This paper presents the first co…

cs.DB2024★ 1 cited

NeurDB: On the Design and Implementation of an AI-powered Autonomous Database

Zhanhao Zhao, Shaofeng Cai, Haotian Gao +8

Databases are increasingly embracing AI to provide autonomous system optimization and intelligent in-database analytics, aiming to relieve end-user burdens across various industry…

cs.LG2024

VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection

Fei Xiao, Shaofeng Cai, Gang Chen +3

Fraud detection presents a challenging task characterized by ever-evolving fraud patterns and scarce labeled data. Existing methods predominantly rely on graph-based or sequence-ba…

cs.DB2024★ 20 cited

NeurDB: An AI-powered Autonomous Data System

Beng Chin Ooi, Shaofeng Cai, Gang Chen +9

In the wake of rapid advancements in artificial intelligence (AI), we stand on the brink of a transformative leap in data systems. The imminent fusion of AI and DB (AIxDB) promises…

cs.DC2023

FLAC: A Robust Failure-Aware Atomic Commit Protocol for Distributed Transactions

Hexiang Pan, Quang-Trung Ta, Meihui Zhang +3

In distributed transaction processing, atomic commit protocol (ACP) is used to ensure database consistency. With the use of commodity compute nodes and networks, failures such as s…