103 citations · 166 across the 14 of their papers we have counts for
5 papers · 1 filter
Contrastive Information Transfer for Pre-Ranking Systems
Yue Cao, XiaoJiang Zhou, Peihao Huang +3
Real-word search and recommender systems usually adopt a multi-stage ranking architecture, including matching, pre-ranking, ranking, and re-ranking. Previous works mainly focus on…
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction
Yue Cao, XiaoJiang Zhou, Jiaqi Feng +4
Rich user behavior data has been proven to be of great value for Click-Through Rate (CTR) prediction applications, especially in industrial recommender, search, or advertising syst…
Correlation-Aware Deep Tracking
Fei Xie, Chunyu Wang, Guangting Wang +3
Robustness and discrimination power are two fundamental requirements in visual object tracking. In most tracking paradigms, we find that the features extracted by the popular Siame…
Pre-Trained Neural Language Models for Automatic Mobile App User Feedback Answer Generation
Yue Cao, Fatemeh H. Fard
Studies show that developers' answers to the mobile app users' feedbacks on app stores can increase the apps' star rating. To help app developers generate answers that are related…
Self-supervised Learning from 100 Million Medical Images
Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor +8
Building accurate and robust artificial intelligence systems for medical image assessment requires not only the research and design of advanced deep learning models but also the cr…