1 citations · 1 across the 4 of their papers we have counts for
6 papers
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…
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,…
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…
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…
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…
Scalable inference of topic evolution via models for latent geometric structures
Mikhail Yurochkin, Zhiwei Fan, Aritra Guha +2
We develop new models and algorithms for learning the temporal dynamics of the topic polytopes and related geometric objects that arise in topic model based inference. Our model is…