149 citations · 610 across the 33 of their papers we have counts for
4 papers · 1 filter
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…
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…
AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment
Can Cui, Wei Wang, Meihui Zhang +3
Alphas are stock prediction models capturing trading signals in a stock market. A set of effective alphas can generate weakly correlated high returns to diversify the risk. Existin…
Serverless Data Science -- Are We There Yet? A Case Study of Model Serving
Yuncheng Wu, Tien Tuan Anh Dinh, Guoyu Hu +3
Machine learning (ML) is an important part of modern data science applications. Data scientists today have to manage the end-to-end ML life cycle that includes both model training…