2 citations · 5 across the 5 of their papers we have counts for
5 papers
Recurrent Temporal Revision Graph Networks
Yizhou Chen, Anxiang Zeng, Guangda Huzhang +6
Temporal graphs offer more accurate modeling of many real-world scenarios than static graphs. However, neighbor aggregation, a critical building block of graph networks, for tempor…
Clustered Embedding Learning for Recommender Systems
Yizhou Chen, Guangda Huzhang, Anxiang Zeng +7
In recent years, recommender systems have advanced rapidly, where embedding learning for users and items plays a critical role. A standard method learns a unique embedding vector f…
A General Traffic Shaping Protocol in E-Commerce
Chenlin Shen, Guangda Huzhang, Yuhang Zhou +2
To approach different business objectives, online traffic shaping algorithms aim at improving exposures of a target set of items, such as boosting the growth of new commodities. Ge…
Re-ranking With Constraints on Diversified Exposures for Homepage Recommender System
Qi Hao, Tianze Luo, Guangda Huzhang
The homepage recommendation on most E-commerce applications places items in a hierarchical manner, where different channels display items in different styles. Existing algorithms u…
Lines, betweenness and metric spaces
Pierre Aboulker, Xiaomin Chen, Guangda Huzhang +2
A classic theorem of Euclidean geometry asserts that any noncollinear set of points in the plane determines at least distinct lines. Chen and Chvátal conjectured that this…