activity
20222026
most citedSocial network modeling and applications, a tutorial

23 citations · 27 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2026

AHBid: An Adaptable Hierarchical Bidding Framework for Cross-Channel Advertising

Xinxin Yang, Yangyang Tang, Yikun Zhou +3

In online advertising, the inherent complexity and dynamic nature of advertising environments necessitate the use of auto-bidding services to assist advertisers in bid optimization…

cs.IR2024

Survey for Landing Generative AI in Social and E-commerce Recsys -- the Industry Perspectives

Da Xu, Danqing Zhang, Guangyu Yang +4

Recently, generative AI (GAI), with their emerging capabilities, have presented unique opportunities for augmenting and revolutionizing industrial recommender systems (Recsys). Des…

cs.SI2023★ 23 cited

Social network modeling and applications, a tutorial

Lisette Espín-Noboa, Tiago Peixoto, Fariba Karimi

Social networks have been widely studied over the last century from multiple disciplines to understand societal issues such as inequality in employment rates, managerial performanc…

cs.LG2023★ 3 cited

Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why?

Da Xu, Bo Yang

The use of pretrained embeddings has become widespread in modern e-commerce machine learning (ML) systems. In practice, however, we have encountered several key issues when using p…

stat.ME2022★ 1 cited

On the Advances and Challenges of Adaptive Online Testing

Da Xu, Bo Yang

In recent years, the interest in developing adaptive solutions for online testing has grown significantly in the industry. While the advances related to this relative new technolog…

cs.LG2022

Towards Robust Off-policy Learning for Runtime Uncertainty

Da Xu, Yuting Ye, Chuanwei Ruan +1

Off-policy learning plays a pivotal role in optimizing and evaluating policies prior to the online deployment. However, during the real-time serving, we observe varieties of interv…