activity
20212024
most citedServing Deep Learning Models with Deduplication from Relational Databases

18 citations · 26 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2024★ 6 cited

Privacy-Preserving Redaction of Diagnosis Data through Source Code Analysis

Lixi Zhou, Lei Yu, Jia Zou +1

Protecting sensitive information in diagnostic data such as logs, is a critical concern in the industrial software diagnosis and debugging process. While there are many tools devel…

cs.DB2023

A Comparison of Decision Forest Inference Platforms from A Database Perspective

Hong Guan, Mahidhar Reddy Dwarampudi, Venkatesh Gunda +3

Decision forest, including RandomForest, XGBoost, and LightGBM, is one of the most popular machine learning techniques used in many industrial scenarios, such as credit card fraud…

cs.SE2022★ 2 cited

Documentation based Semantic-Aware Log Parsing

Lei Yu, Tian Wu, Jiaqi Li +3

With the recent advances of deep learning techniques, there are rapidly growing interests in applying machine learning to log data. As a fundamental part of log analytics, accurate…

cs.DB2022★ 18 cited

Serving Deep Learning Models with Deduplication from Relational Databases

Lixi Zhou, Jiaqing Chen, Amitabh Das +4

There are significant benefits to serve deep learning models from relational databases. First, features extracted from databases do not need to be transferred to any decoupled deep…

cs.CR2021

Knowledge & Learning-based Adaptable System for Sensitive Information Identification and Handling

Akshar Kaul, Manish Kesarwani, Hong Min +1

Diagnostic data such as logs and memory dumps from production systems are often shared with development teams to do root cause analysis of system crashes. Invariably such diagnosti…