activity
20182026
most citedA Comparative Exploration of ML Techniques for Tuning Query Degree of Parallelism

1 citations · 1 across the 4 of their papers we have counts for

collaborators

7 papers

cs.DB2026

CACTUSDB: Unlock Co-Optimization Opportunities for SQL and AI/ML Inferences

Lixi Zhou, Kanchan Chowdhury, Lulu Xie +5

There is a growing demand for supporting inference queries that combine Structured Query Language (SQL) and Artificial Intelligence / Machine Learning (AI/ML) model inferences in d…

cs.DB2025

FlowLog: Efficient and Extensible Datalog via Incrementality

Hangdong Zhao, Zhenghong Yu, Srinag Rao +3

Datalog-based languages are regaining popularity as a powerful abstraction for expressing recursive computations in domains such as program analysis and graph processing. However,…

cs.LG2023

Naive Bayes Classifiers over Missing Data: Decision and Poisoning

Song Bian, Xiating Ouyang, Zhiwei Fan +1

We study the certifiable robustness of ML classifiers on dirty datasets that could contain missing values. A test point is certifiably robust for an ML classifier if the classifier…

cs.DB2022

LinCQA: Faster Consistent Query Answering with Linear Time Guarantees

Zhiwei Fan, Paraschos Koutris, Xiating Ouyang +1

Most data analytical pipelines often encounter the problem of querying inconsistent data that violate pre-determined integrity constraints. Data cleaning is an extensively studied…

cs.DB2020★ 1 cited

A Comparative Exploration of ML Techniques for Tuning Query Degree of Parallelism

Zhiwei Fan, Rathijit Sen, Paraschos Koutris +1

There is a large body of recent work applying machine learning (ML) techniques to query optimization and query performance prediction in relational database management systems (RDB…

cs.DB2018

Scaling-Up In-Memory Datalog Processing: Observations and Techniques

Zhiwei Fan, Jianqiao Zhu, Zuyu Zhang +3

Recursive query processing has experienced a recent resurgence, as a result of its use in many modern application domains, including data integration, graph analytics, security, pr…