3 citations · 3 across the 5 of their papers we have counts for
5 papers
Prompting through Prototype: A Prototype-based Prompt Learning on Pretrained Vision-Language Models
Yue Zhang, Hongliang Fei, Dingcheng Li +2
Prompt learning is a new learning paradigm which reformulates downstream tasks as similar pretraining tasks on pretrained models by leveraging textual prompts. Recent works have de…
Denoising Enhanced Distantly Supervised Ultrafine Entity Typing
Yue Zhang, Hongliang Fei, Ping Li
Recently, the task of distantly supervised (DS) ultra-fine entity typing has received significant attention. However, DS data is noisy and often suffers from missing or wrong label…
Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning
Tan Yu, Jun Zhi, Yufei Zhang +3
APP-installation information is helpful to describe the user's characteristics. The users with similar APPs installed might share several common interests and behave similarly in s…
Boost CTR Prediction for New Advertisements via Modeling Visual Content
Tan Yu, Zhipeng Jin, Jie Liu +3
Existing advertisements click-through rate (CTR) prediction models are mainly dependent on behavior ID features, which are learned based on the historical user-ad interactions. Nev…
Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising
Tan Yu, Jie Liu, Yi Yang +3
The advancement of the communication technology and the popularity of the smart phones foster the booming of video ads. Baidu, as one of the leading search engine companies in the…