activity
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

collaborators

7 papers

cs.SE2023★ 9 cited

AI-assisted Code Authoring at Scale: Fine-tuning, deploying, and mixed methods evaluation

Vijayaraghavan Murali, Chandra Maddila, Imad Ahmad +6

Generative LLMs have been shown to effectively power AI-based code authoring tools that can suggest entire statements or blocks of code during code authoring. In this paper we pres…

cs.SE2022

Learning to Learn to Predict Performance Regressions in Production at Meta

Moritz Beller, Hongyu Li, Vivek Nair +6

Catching and attributing code change-induced performance regressions in production is hard; predicting them beforehand, even harder. A primer on automatically learning to predict p…

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…