1 citations · 1 across the 3 of their papers we have counts for
5 papers
An Evidential Real-Time Multi-Mode Fault Diagnosis Approach Based on Broad Learning System
Chen Li, Zeyi Liu, Limin Wang +2
Fault diagnosis is a crucial area of research in industry. Industrial processes exhibit diverse operating conditions, where data often have non-Gaussian, multi-mode, and center-dri…
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Renyi's Entropy Perspective
Yuxin Dong, Tieliang Gong, Hong Chen +1
Recently, information theoretic analysis has become a popular framework for understanding the generalization behavior of deep neural networks. It allows a direct analysis for stoch…
Fries: Fast and Consistent Runtime Reconfiguration in Dataflow Systems with Transactional Guarantees (Extended Version)
Zuozhi Wang, Shengquan Ni, Avinash Kumar +1
A computing job in a big data system can take a long time to run, especially for pipelined executions on data streams. Developers often need to change the computing logic of the jo…
Reshape: Adaptive Result-aware Skew Handling for Exploratory Analysis on Big Data
Avinash Kumar, Sadeem Alsudais, Shengquan Ni +3
The process of data analysis, especially in GUI-based analytics systems, is highly exploratory. The user iteratively refines a workflow multiple times before arriving at the final…
JEDI: These aren't the JSON documents you're looking for... (Extended Version*)
Thomas Hütter, Nikolaus Augsten, Christoph M. Kirsch +2
The JavaScript Object Notation (JSON) is a popular data format used in document stores to natively support semi-structured data. In this paper, we address the problem of JSON simil…