3 citations · 7 across the 3 of their papers we have counts for
3 papers
Model-based Transfer Learning for Automatic Optical Inspection based on domain discrepancy
Erik Isai Valle Salgado, Haoxin Yan, Yue Hong +8
Transfer learning is a promising method for AOI applications since it can significantly shorten sample collection time and improve efficiency in today's smart manufacturing. Howeve…
Context-aware Heterogeneous Graph Attention Network for User Behavior Prediction in Local Consumer Service Platform
Peiyuan Zhu, Xiaofeng Wang, Zisen Sang +2
As a new type of e-commerce platform developed in recent years, local consumer service platform provides users with software to consume service to the nearby store or to the home,…
Slice Sampling for General Completely Random Measures
Peiyuan Zhu, Alexandre Bouchard-Côté, Trevor Campbell
Completely random measures provide a principled approach to creating flexible unsupervised models, where the number of latent features is infinite and the number of features that i…