12 citations · 16 across the 7 of their papers we have counts for
7 papers
Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation
Jialu Xu, Mengkun Liang, Guannan Liu +2
Estimating heterogeneous treatment effects is central to targeted interventions, such as personalized promotions and precision medicine. We focus on the conditional average treatme…
Modeling Reference-dependent Choices with Graph Neural Networks
Liang Zhang, Guannan Liu, Junjie Wu +1
While the classic Prospect Theory has highlighted the reference-dependent and comparative nature of consumers' product evaluation processes, few models have successfully integrated…
Multi-Aspect Temporal Network Embedding: A Mixture of Hawkes Process View
Yutian Chang, Guannan Liu, Yuan Zuo +1
Recent years have witnessed the tremendous research interests in network embedding. Extant works have taken the neighborhood formation as the critical information to reveal the inh…
Beyond Similarity: Relation Embedding with Dual Attentions for Item-based Recommendation
Liang Zhang, Guannan Liu, Junjie Wu
Given the effectiveness and ease of use, Item-based Collaborative Filtering (ICF) methods have been broadly used in industry in recent years. The key of ICF lies in the similarity…
Recommendation with Attribute-aware Product Networks: A Representation Learning Model
Guannan Liu, Liang Zhang, Junjie Wu +1
With the prosperity of business intelligence, recommender systems have evolved into a new stage that we not only care about what to recommend, but why it is recommended. Explainabi…
Social Media Would Not Lie: Prediction of the 2016 Taiwan Election via Online Heterogeneous Data
Zheng Xie, Guannan Liu, Junjie Wu +1
The prevalence of online media has attracted researchers from various domains to explore human behavior and make interesting predictions. In this research, we leverage heterogeneou…