Huiyun Peng

According to our database, Huiyun Peng authored at least 11 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Beyond Local Code Optimization: Multi-Agent Reasoning for Software System Optimization.

Huiyun Peng, Parth V. Patil, Antonio Zhong Qiu, George K. Thiruvathukal, James C. Davis

CoRR, March, 2026

SysLLMatic: Large language models are software system optimizers.

Huiyun Peng, Arjun Gupte, Ryan Hasler, Nicholas John Eliopoulos, Chien Chou Ho, Rishi Mantri, Leo Deng, Konstantin Läufer, George K. Thiruvathukal, James C. Davis

J. Syst. Softw., 2026

2025

How Do Agents Perform Code Optimization? An Empirical Study.

Huiyun Peng, Antonio Zhong, Ricardo Andrés Calvo Méndez, Kelechi G. Kalu, James C. Davis

CoRR, December, 2025

AgentHub: A Research Agenda for Agent Sharing Infrastructure.

Erik Pautsch, Tanmay Singla, Wenxin Jiang, Huiyun Peng, Behnaz Hassanshahi, Konstantin Läufer, George K. Thiruvathukal, James C. Davis

CoRR, October, 2025

A Guide to Stakeholder Analysis for Cybersecurity Researchers.

James C. Davis, Sophie Chen, Huiyun Peng, Paschal C. Amusuo, Kelechi G. Kalu

CoRR, August, 2025

Recommending Pre-Trained Models for IoT Devices.

Parth V. Patil, Wenxin Jiang, Huiyun Peng, Daniel Lugo, Kelechi G. Kalu, Josh LeBlanc, Lawrence Smith, Hyeonwoo Heo, Nathanael Aou, James C. Davis

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results, ICSE 2025 - NIER, Ottawa, ON, Canada, April 27, 2025

$ZTD_{\text{JAVA}}$: Mitigating Software Supply Chain Vulnerabilities via Zero-Trust Dependencies.

Paschal C. Amusuo, Kyle A. Robinson, Tanmay Singla, Huiyun Peng, Aravind Machiry, Santiago Torres-Arias, Laurent Simon, James C. Davis

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024

Recommending Pre-Trained Models for IoT Devices.

Parth V. Patil, Wenxin Jiang, Huiyun Peng, Daniel Lugo, Kelechi G. Kalu, David J. LeBlanc, Lawrence Smith, Hyeonwoo Heo, Nathanael Aou, James C. Davis

CoRR, 2024

Can Large-Language Models Help us Better Understand and Teach the Development of Energy-Efficient Software?

Ryan Hasler, Konstantin Läufer, George K. Thiruvathukal, Huiyun Peng, Kyle Robinson, Kirsten Davis, Yung-Hsiang Lu, James C. Davis

CoRR, 2024

Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions.

Huiyun Peng, Arjun Gupte, Nicholas John Eliopoulos, Chien Chou Ho, Rishi Mantri, Leo Deng, Wenxin Jiang, Yung-Hsiang Lu, Konstantin Läufer, George K. Thiruvathukal, James C. Davis

CoRR, 2024

2021

A Resource Management Based on Deep Learning in Ubiquitous Power Internet of Things.

Wenhao Yao, Huaide Peng, Huiyun Peng, Yanfang Xiong, Xueting Li, Qiang Kong

Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021