33 citations · 40 across the 3 of their papers we have counts for
7 papers
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…
Survive the Schema Changes: Integration of Unmanaged Data Using Deep Learning
Zijie Wang, Lixi Zhou, Amitabh Das +3
Data is the king in the age of AI. However data integration is often a laborious task that is hard to automate. Schema change is one significant obstacle to the automation of the e…
It's the Best Only When It Fits You Most: Finding Related Models for Serving Based on Dynamic Locality Sensitive Hashing
Lixi Zhou, Zijie Wang, Amitabh Das +1
In recent, deep learning has become the most popular direction in machine learning and artificial intelligence. However, preparation of training data is often a bottleneck in the l…
Lachesis: Automatic Partitioning for UDF-Centric Analytics
Jia Zou, Amitabh Das, Pratik Barhate +4
Persistent partitioning is effective in avoiding expensive shuffling operations. However it remains a significant challenge to automate this process for Big Data analytics workload…
Declarative Recursive Computation on an RDBMS, or, Why You Should Use a Database For Distributed Machine Learning
Dimitrije Jankov, Shangyu Luo, Binhang Yuan +4
A number of popular systems, most notably Google's TensorFlow, have been implemented from the ground up to support machine learning tasks. We consider how to make a very small set…
Pangea: Monolithic Distributed Storage for Data Analytics
Jia Zou, Arun Iyengar, Chris Jermaine
Storage and memory systems for modern data analytics are heavily layered, managing shared persistent data, cached data, and non-shared execution data in separate systems such as di…