9 citations · 19 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
PORCA: Root Cause Analysis with Partially Observed Data
Chang Gong, Di Yao, Jin Wang +6
Root Cause Analysis (RCA) aims at identifying the underlying causes of system faults by uncovering and analyzing the causal structure from complex systems. It has been widely used…
STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis
Wenbin Li, Di Yao, Ruibo Zhao +7
The rapid evolution of large language models (LLMs) holds promise for reforming the methodology of spatio-temporal data mining. However, current works for evaluating the spatio-tem…
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…