most citedDesigning Network Algorithms via Large Language Models

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI2025

MetaMuse: Algorithm Generation via Creative Ideation

Ruiying Ma, Chieh-Jan Mike Liang, Yanjie Gao +1

Designing system algorithms remains challenging, where the discontinuous nature of the solution space often forces system engineers to rely on generic heuristics at the expense of…

cs.NI2025

Congestion Control System Optimization with Large Language Models

Zhiyuan He, Aashish Gottipati, Lili Qiu +2

Congestion control is a fundamental component of Internet infrastructure, and researchers have dedicated considerable effort to developing improved congestion control algorithms. H…

cs.NI2025

NetArena: Dynamic Benchmarks for AI Agents in Network Automation

Yajie Zhou, Jiajun Ruan, Eric S. Wang +4

As AI agents expand into high-stakes domains like network system operations, evaluating their real-world reliability becomes increasingly critical. However, existing benchmarks ris…

cs.NI2025

AquaScope: Reliable Underwater Image Transmission on Mobile Devices

Beitong Tian, Lingzhi Zhao, Bo Chen +5

Underwater communication is essential for both recreational and scientific activities, such as scuba diving. However, existing methods remain highly constrained by environmental ch…

cs.DC2024

Decouple and Decompose: Scaling Resource Allocation with DeDe

Zhiying Xu, Minlan Yu, Francis Y. Yan

Efficient resource allocation is essential in cloud systems to facilitate resource sharing among tenants. However, the growing scale of these optimization problems have outpaced co…

cs.NI2024

Offline Meta-learning for Real-time Bandwidth Estimation

Aashish Gottipati, Sami Khairy, Yasaman Hosseinkashi +4

Real-time video applications require dynamic bitrate adjustments based on network capacity, necessitating accurate bandwidth estimation (BWE). We introduce Ivy, a novel BWE method…

cs.NI2024★ 1 cited

Designing Network Algorithms via Large Language Models

Zhiyuan He, Aashish Gottipati, Lili Qiu +4

We introduce NADA, the first framework to autonomously design network algorithms by leveraging the generative capabilities of large language models (LLMs). Starting with an existin…