1 citations · 1 across the 5 of their papers we have counts for
Showing cs.NIShow all
3 papers · 1 filter
cs.NI2026
The Frontier LLM Trap in Network Automation
Minhao Jin, Sean Wang, Aarti Gupta +1
Large LLMs are powerful tools for network automation, but they are expensive, slow to serve, hard to audit, poorly tailored to individual networks, and create long-term dependencie…
cs.NI2026
Worst-Case Discovery and Runtime Protection for RL-Based Network Controllers
Hongyu Hè, Minhao Jin, Maria Apostolaki
RL-based controllers achieve strong average-case performance in networking tasks such as congestion control and adaptive bitrate streaming. Yet their performance can degrade severe…
cs.NI2025
Making Logic a First-Class Citizen in Generative ML for Networking
Hongyu Hè, Minhao Jin, Maria Apostolaki
Generative ML models are increasingly popular in networking for tasks such as telemetry imputation, prediction, and synthetic trace generation. Despite their capabilities, they suf…