Umar Farooq

Orcid: 0000-0001-7229-9847

Affiliations:
  • Louisiana State University, Baton Rouge, LA, USA
  • University of California, Riverside, CA, USA (PhD 2021)


According to our database1, Umar Farooq authored at least 26 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
MobileDev-Bench: A Comprehensive Benchmark for Evaluating Language Models on Mobile Application Development.
CoRR, March, 2026

Looking into Black Box Code Language Models.
Proceedings of the International Conference on Semantic Computing, 2026

Generating Conversational Recommendation Datasets from Real User Interactions.
Proceedings of the International Conference on Semantic Computing, 2026

2025
Understanding Robustness of Model Editing in Code LLMs: An Empirical Study.
CoRR, November, 2025

Teaching Quantum Computing through Lab-Integrated Learning: Bridging Conceptual and Computational Understanding.
CoRR, November, 2025

A Framework for Generating Conversational Recommendation Datasets from Behavioral Interactions.
CoRR, June, 2025

What Users Value and Critique: Large-Scale Analysis of User Feedback on AI-Powered Mobile Apps.
CoRR, June, 2025

Assessing and Enhancing Quantum Readiness in Mobile Apps.
CoRR, June, 2025

Analyzing the Evolution and Maintenance of Quantum Computing Repositories.
CoRR, January, 2025

INTERPOS: Interaction Rhythm Guided Positional Morphing for Mobile App Recommender Systems.
Proceedings of the 19th International Conference on Semantic Computing, 2025

Exploring Runtime Evolution in Android: A Cross-Version Analysis and Its Implications for Memory Forensics.
Proceedings of the 28th International Symposium on Research in Attacks, 2025

Analyzing the Evolution and Maintenance of Quantum Software Repositories.
Proceedings of the IEEE International Conference on Quantum Software, 2025

GraCFL: A Holistically Designed Vertex-Centric Graph System for CFL Reachability.
Proceedings of the 39th ACM International Conference on Supercomputing, 2025

A Large-Scale Study on the Development and Issues of Multi-Agent AI Systems.
Proceedings of the IEEE International Conference on Big Data, 2025

Large-Scale Analysis of User Feedback on AI-Powered Mobile Apps.
Proceedings of the IEEE International Conference on Big Data, 2025

2024
MobileConvRec: A Conversational Dataset for Mobile Apps Recommendations.
CoRR, 2024

2023
MobileRec: A Large Scale Dataset for Mobile Apps Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Linker Code Size Optimization for Native Mobile Applications.
Proceedings of the 32nd ACM SIGPLAN International Conference on Compiler Construction, 2023

Detecting Potential User-data Save & Export Losses due to Android App Termination.
Proceedings of the IEEE/ACM International Conference on Automation of Software Test, 2023

2022
Proactive Prioritization of App Issues via Contrastive Learning.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Runtime, Analysis, and Tools for Reliable Management of Mobile App States.
PhD thesis, 2021

2020
LiveDroid: identifying and preserving mobile app state in volatile runtime environments.
Proc. ACM Program. Lang., 2020

AARSynth: App-Aware Response Synthesis for User Reviews.
CoRR, 2020

App-Aware Response Synthesis for User Reviews.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Scalable Processing of Contemporary Semi-Structured Data on Commodity Parallel Processors - A Compilation-based Approach.
Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018
RuntimeDroid: Restarting-Free Runtime Change Handling for Android Apps.
Proceedings of the 16th Annual International Conference on Mobile Systems, 2018


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