Xudong Zheng

AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations

2021

Deep learning-based recommender systems (DLRSs) often have embedding layers, which are utilized to lessen the dimension of categorical variables (e.g., user/item identifiers) and meaningfully transform them in the low-dimensional space. The majority of existing DLRSs …

FGCSA-Net: A Novel Framework for Medical Report Generation Via Fine-Grained Feature Preservation and Semantic Alignment

2026 · IEEE Journal of Biomedical and Health Informatics

Medical image report generation is a cross-modal task that converts medical images into structured radiology reports. Existing methods often struggle with two issues: loss of subtle visual details in deep networks and weak alignment between …

Jointly Learning to Recommend and Advertise

2020

Online recommendation and advertising are two major income channels for online recommendation platforms (e.g. e-commerce and news feed site). However, most platforms optimize recommending and advertising strategies by different teams separately via different techniques, which …