1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 1 cited
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random
Mingming Ha, Xuewen Tao, Wenfang Lin +3
In most practical applications such as recommendation systems, display advertising, and so forth, the collected data often contains missing values and those missing values are gene…
cs.IR2023
Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach
Wujiang Xu, Xuying Ning, Wenfang Lin +7
Cross-domain sequential recommendation (CDSR) aims to address the data sparsity problems that exist in traditional sequential recommendation (SR) systems. The existing approaches a…
cs.LG2023
Adaptive Pattern Extraction Multi-Task Learning for Multi-Step Conversion Estimations
Xuewen Tao, Mingming Ha, Xiaobo Guo +3
Multi-task learning (MTL) has been successfully used in many real-world applications, which aims to simultaneously solve multiple tasks with a single model. The general idea of mul…