3 citations · 4 across the 3 of their papers we have counts for
4 papers
HMGCLIP: Heterogeneous Multi-Granularity Contrastive Learning for E-commerce Representation Learning
Qiuyu Zhu, Yi Gao, Zhichao Wan +1
Although recent Multimodal Large Language Models (MLLMs) have advanced general product understanding, they implicitly encode product information into global embeddings, thereby lim…
Estimating unrestricted spatial interdependence in panel spatial autoregressive models with latent common factors
Deborah Gefang, Stephen G Hall, George S. Tavlas
We develop a new Bayesian approach to estimating panel spatial autoregressive models with a known number of latent common factors, where N, the number of cross-sectional units, is…
Identifying spatial interdependence in panel data with large N and small T
Deborah Gefang, Stephen G. Hall, George S. Tavlas
This paper develops a simple two-stage variational Bayesian algorithm to estimate panel spatial autoregressive models, where N, the number of cross-sectional units, is much larger…
Fast Two-Stage Variational Bayesian Approach to Estimating Panel Spatial Autoregressive Models with Unrestricted Spatial Weights Matrices
Deborah Gefang, Stephen G. Hall, George S. Tavlas
This paper proposes a fast two-stage variational Bayesian (VB) algorithm to estimate unrestricted panel spatial autoregressive models. Using Dirichlet-Laplace priors, we are able t…