5 citations · 5 across the 4 of their papers we have counts for
4 papers
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling
Dingyuan Zhu, Daixin Wang, Zhiqiang Zhang +4
Uplift modeling aims to measure the incremental effect, which we call uplift, of a strategy or action on the users from randomized experiments or observational data. Most existing…
Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning
Daixin Wang, Zhiqiang Zhang, Yeyu Zhao +3
User financial default prediction plays a critical role in credit risk forecasting and management. It aims at predicting the probability that the user will fail to make the repayme…
Incorporating Causal Analysis into Diversified and Logical Response Generation
Jiayi Liu, Wei Wei, Zhixuan Chu +4
Although the Conditional Variational AutoEncoder (CVAE) model can generate more diversified responses than the traditional Seq2Seq model, the responses often have low relevance wit…
Hierarchical Capsule Prediction Network for Marketing Campaigns Effect
Zhixuan Chu, Hui Ding, Guang Zeng +4
Marketing campaigns are a set of strategic activities that can promote a business's goal. The effect prediction for marketing campaigns in a real industrial scenario is very comple…