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20142023
most citedAI-assisted Code Authoring at Scale: Fine-tuning, deploying, and mixed methods evaluation

9 citations · 21 across the 7 of their papers we have counts for

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Showing cs.ITShow all

5 papers · 1 filter

cs.IT2016★ 1 cited

Locally Repairable Regenerating Code Constructions

Imad Ahmad, Chih-Chun Wang

In this work, we give locally repairable regenerating code (LRRC) [1]-[3], [5], [6] constructions that can protect the file size promised by the graph analysis of the modified fami…

cs.IT2016★ 3 cited

When Can Helper Node Selection Improve Regenerating Codes? Part I: Graph-Based Analysis

Imad Ahmad, Chih-Chun Wang

Regenerating codes (RCs) can significantly reduce the repair-bandwidth of distributed storage networks. Initially, the analysis of RCs was based on the assumption that during the r…

cs.IT2016★ 1 cited

Flexible Fractional Repetition Codes for Distributed Storage Networks

Imad Ahmad, Chih-Chun Wang

Consider the following fundamental question of distributed storage networks: Given any arbitrary values, whether there exists an intelligent helper selection scheme (assu…

cs.IT2015★ 1 cited

Locally Repairable Regenerating Codes: Node Unavailability and the Insufficiency of Stationary Local Repair

Imad Ahmad, Chih-Chun Wang

Locally repairable codes (LRCs) are ingeniously designed distributed storage codes with a (usually small) fixed set of helper nodes participating in repair. Since most existing LRC…

cs.IT2014★ 6 cited

When and By How Much Can Helper Node Selection Improve Regenerating Codes?

Imad Ahmad, Chih-Chun Wang

Regenerating codes (RCs) can significantly reduce the repair-bandwidth of distributed storage networks. Initially, the analysis of RCs was based on the assumption that during the r…