3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.SI2026
Causal-Informed Hybrid Online Adaptive Optimization for Ad Load Personalization in Large-Scale Social Networks
Aakash Mishra, Qi Xu, Zhigang Hua +5
Personalizing ad load in large-scale social networks requires balancing user experience and conversions under operational constraints. Traditional primal-dual methods enforce const…
cs.IR2024
Ads Supply Personalization via Doubly Robust Learning
Wei Shi, Chen Fu, Qi Xu +5
Ads supply personalization aims to balance the revenue and user engagement, two long-term objectives in social media ads, by tailoring the ad quantity and density. In the industry-…
cs.LG2024★ 3 cited
Do Generated Data Always Help Contrastive Learning?
Yifei Wang, Jizhe Zhang, Yisen Wang
Contrastive Learning (CL) has emerged as one of the most successful paradigms for unsupervised visual representation learning, yet it often depends on intensive manual data augment…