Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud

no code implementations • 11 May 2018 • Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Zhi-Hua Zhou, YUAN, QI

This model can block fraud transactions in a large amount of money each day.

BIG-bench Machine Learning feature selection

A Time Attention based Fraud Transaction Detection Framework

no code implementations • 26 Dec 2019 • Longfei Li, Ziqi Liu, Chaochao Chen, Ya-Lin Zhang, Jun Zhou, Xiaolong Li

With online payment platforms being ubiquitous and important, fraud transaction detection has become the key for such platforms, to ensure user account safety and platform security.

SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks

no code implementations • 5 Mar 2020 • Qitao Shi, Ya-Lin Zhang, Longfei Li, Xinxing Yang, Meng Li, Jun Zhou

Machine learning techniques have been widely applied in Internet companies for various tasks, acting as an essential driving force, and feature engineering has been generally recognized as a crucial tache when constructing machine learning systems.

BIG-bench Machine Learning Feature Engineering

Interpretable MTL from Heterogeneous Domains using Boosted Tree

no code implementations • 16 Mar 2020 • Ya-Lin Zhang, Longfei Li

Multi-task learning (MTL) aims at improving the generalization performance of several related tasks by leveraging useful information contained in them.

Multi-Task Learning Philosophy

ALT: An Automatic System for Long Tail Scenario Modeling

no code implementations • 19 May 2023 • Ya-Lin Zhang, Jun Zhou, Yankun Ren, Yue Zhang, Xinxing Yang, Meng Li, Qitao Shi, Longfei Li

In this paper, we consider the problem of long tail scenario modeling with budget limitation, i. e., insufficient human resources for model training stage and limited time and computing resources for model inference stage.

Meta-Learning Neural Architecture Search +1