3 citations · 3 across the 5 of their papers we have counts for
3 papers
cs.CV2024
Personalized Multimodal Large Language Models: A Survey
Junda Wu, Hanjia Lyu, Yu Xia +24
Multimodal Large Language Models (MLLMs) have become increasingly important due to their state-of-the-art performance and ability to integrate multiple data modalities, such as tex…
cs.LG2024★ 3 cited
Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data
Yu Xia, Chi-Hua Wang, Joshua Mabry +1
The evaluation of synthetic data generation is crucial, especially in the retail sector where data accuracy is paramount. This paper introduces a comprehensive framework for assess…
cs.IT2024
Stability in Phase Retrieval: Characterizing Condition Numbers and the Optimal Vector Set
Yu Xia, Zhiqiang Xu, Zili Xu
In this paper, we primarily focus on analyzing the stability property of phase retrieval by examining the bi-Lipschitz property of the map $Φ_{\boldsymbol{A}}(\boldsymbol{x})=|\bol…