5 citations · 7 across the 3 of their papers we have counts for
5 papers
Predicting What Answer Engines Cite: Open Decision Models, Rerankers and a Distilled 4B Student on Ten Engines under Controlled Retrieval
Elisha Bajemon, Andre-Louis Rochet
Generative engine optimization needs a scorer that ranks candidate pages by the share of an answer they will receive as citations. We measure pretrained rerankers, a hosted typed d…
A First Glance at Jev for Network Traffic Classification: Accuracy, Processing Time, and Cost
Shenghe Xu, Lifan Mei
We evaluate Jev on ten dataset-defined application labels in CESNET-QUICEXT-25 using only the first ten packets' sizes, directions, and inter-packet times. To the best of our knowl…
DeeP-TE: Data-enabled Predictive Traffic Engineering
Zhun Yin, Xiaotian Li, Lifan Mei +2
Routing configurations of a network should constantly adapt to traffic variations to achieve good network performance. Adaptive routing faces two main challenges: 1) how to accurat…
On Routing Optimization in Networks with Embedded Computational Services
Lifan Mei, Jinrui Gou, Jingrui Yang +2
Modern communication networks are increasingly equipped with in-network computational capabilities and services. Routing in such networks is significantly more complicated than the…
Realtime Mobile Bandwidth and Handoff Predictions in 4G/5G Networks
Lifan Mei, Jinrui Gou, Yujin Cai +2
Mobile apps are increasingly relying on high-throughput and low-latency content delivery, while the available bandwidth on wireless access links is inherently time-varying. The han…