activity
20122025
most citedDatabase Meets Deep Learning: Challenges and Opportunities

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

collaborators
Showing cs.LGShow all

5 papers · 1 filter

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.LG2021

A Survey on Deep Reinforcement Learning for Data Processing and Analytics

Qingpeng Cai, Can Cui, Yiyuan Xiong +3

Data processing and analytics are fundamental and pervasive. Algorithms play a vital role in data processing and analytics where many algorithm designs have incorporated heuristics…

cs.LG2021★ 38 cited

ARM-Net: Adaptive Relation Modeling Network for Structured Data

Shaofeng Cai, Kaiping Zheng, Gang Chen +3

Relational databases are the de facto standard for storing and querying structured data, and extracting insights from structured data requires advanced analytics. Deep neural netwo…

cs.LG2019★ 54 cited

Effective and Efficient Dropout for Deep Convolutional Neural Networks

Shaofeng Cai, Yao Shu, Gang Chen +3

Convolutional Neural networks (CNNs) based applications have become ubiquitous, where proper regularization is greatly needed. To prevent large neural network models from overfitti…

cs.LG2016★ 1 cited

Deep Learning At Scale and At Ease

Wei Wang, Gang Chen, Haibo Chen +5

Recently, deep learning techniques have enjoyed success in various multimedia applications, such as image classification and multi-modal data analysis. Large deep learning models a…