- Published on
Reflections on where deep learning truly fits in computer networking—from GNNs for topology modeling to ML-based traffic engineering—and why it is not (yet) a silver bullet for Internet-wide routing.
Yejin Cho
Networks, Internet, Probes, Layers, and Lessons Learned.
I am a post-master student researcher at USC/ISI, advised by John Heidemannat ANT lab . My research focuses on Internet measurement, network security, and protocol analysis. I build large-scale measurement systems to understand how the Internet works in practice.
News
2026.03
Joining UCI as a PhD Student — I'll be joining UCI as a PhD student starting this fall, advised by Professor Paul Pearce.
2026.03
Presenting at IETF-125 MAPRG Meeting — I will be presenting on IPv6 VPN de-preference at the MAPRG meeting at IETF-125.
2025.12
Completed My Master’s Degree at USC!
2025.11
Paper Preprint Posted on arXiv — Our paper, "Smoothing Rough Edges of IPv6 in VPNs," has been released to arXiv!
2024.01
Joined USC as a graduate student — I’ve started my graduate studies at USC, majoring in Computer Science with a specialization in Computer Networks.
Selected Publications
2026
2025
2024
KRongBERT: Enhanced Factorization-based Morphological Approach for Korean Language Model
H. Yu, Y. Cho, and M. Kim
Information Processing & Management, Volume 62, Issue 3
2022
Broadcasting in Vehicular Ad-hoc Network: Survey on Recent Advances
Y. Cho, M. Park, and J. Paek
13th International Conference on ICT Convergence (ICTC) 2022