Xi Cheng

Elastic net-regularized latent factor model for recommender systems

2018

Latent factor (LF) models are highly efficient in recommender systems. The problem of LF analysis is defined on high-dimensional and sparse (HiDS) matrices corresponding to relationships among numerous entities in industrial applications. It is ill-posed …

Large Language Models for Traffic and Transportation Research: Methodologies, State of the Art, and Future Opportunities

2025 · arXiv (Cornell University)

The rapid rise of Large Language Models (LLMs) is transforming traffic and transportation research, with significant advancements emerging between the years 2023 and 2025 -- a period marked by the inception and swift growth of …