9 citations · 17 across the 4 of their papers we have counts for
4 papers
CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection
Wenbin Li, Di Yao, Chang Gong +6
Trajectory anomaly detection, aiming to estimate the anomaly risk of trajectories given the Source-Destination (SD) pairs, has become a critical problem for many real-world applica…
CausalMMM: Learning Causal Structure for Marketing Mix Modeling
Chang Gong, Di Yao, Lei Zhang +4
In online advertising, marketing mix modeling (MMM) is employed to predict the gross merchandise volume (GMV) of brand shops and help decision-makers to adjust the budget allocatio…
Causal Discovery from Temporal Data: An Overview and New Perspectives
Chang Gong, Di Yao, Chuzhe Zhang +2
Temporal data, representing chronological observations of complex systems, has always been a typical data structure that can be widely generated by many domains, such as industry,…
CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution
Di Yao, Chang Gong, Lei Zhang +2
Multi-touch attribution (MTA), aiming to estimate the contribution of each advertisement touchpoint in conversion journeys, is essential for budget allocation and automatically adv…