Ziyi Zhang

RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels

2023

Learning with noisy labels (LNL) is one of the most important and challenging problems in weakly-supervised learning. Recent advances adopt the sample selection strategy to mitigate the interference of noisy labels and use small-loss criteria …

Identifying E-Commerce Fraud Through User Behavior Data: Observations and Insights

2025 · Data Science and Engineering

Abstract Traditional fraud detection approaches often use linking entities, such as device, email, and address, to identify fraudulent transactions and users. However, as fraud methods continue to evolve and escalate, the fraudsters can fabricate the …