At Uber, magical customer experiences depend on accurate arrival time predictions (ETAs). We use ETAs to calculate fares, estimate pickup times, match riders to drivers, plan deliveries, and more. Traditional routing engines compute ETAs by dividing up the road network …
Xinyu Hu
Xinyu Hu is a Senior Research Scientist at Uber AI focused on large-scale machine learning applications in spatial-temporal problems and causal inference. Xinyu holds a Ph.D. in Biostatistics from Columbia University.
Engineering Blog Articles
Fraud Detection: Using Relational Graph Learning to Detect Collusion
As Uber grew in popularity and scale among legitimate customers, it also attracted the attention of financial criminals in the cyberspace. One type of fraudulent behavior is collusion, a cooperative fraud action among users. For example, users collude by taking …