Longfei Li

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Ant Financial

Assistant Professor, Applied Mathematics

Self-supervised Smoothing Graph Neural Networks

This paper studies learning node representations with GNNs for unsupervi...
09/02/2020 ∙ by Lu Yu, et al. ∙ 16 ∙ share

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Stable and accurate numerical methods for generalized Kirchhoff-Love plates

Efficient and accurate numerical algorithms are developed to solve a gen...
08/04/2020 ∙ by Duong T. A. Nguyen, et al. ∙ 0 ∙ share

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Interpretable MTL from Heterogeneous Domains using Boosted Tree

Multi-task learning (MTL) aims at improving the generalization performan...
03/16/2020 ∙ by Ya-Lin Zhang, et al. ∙ 0 ∙ share

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SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks

Machine learning techniques have been widely applied in Internet compani...
03/05/2020 ∙ by Qitao Shi, et al. ∙ 0 ∙ share

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A Time Attention based Fraud Transaction Detection Framework

With online payment platforms being ubiquitous and important, fraud tran...
12/26/2019 ∙ by Longfei Li, et al. ∙ 0 ∙ share

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Knowledge Isomorphism between Neural Networks

This paper aims to analyze knowledge isomorphism between pre-trained dee...
08/05/2019 ∙ by Ruofan Liang, et al. ∙ 6 ∙ share

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

Internet companies are facing the need of handling large scale machine l...
05/11/2018 ∙ by Ya-Lin Zhang, et al. ∙ 0 ∙ share

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A Boosting Framework of Factorization Machine

Recently, Factorization Machines (FM) has become more and more popular f...
04/17/2018 ∙ by Longfei Li, et al. ∙ 0 ∙ share

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Distributed Collaborative Hashing and Its Applications in Ant Financial

Collaborative filtering, especially latent factor model, has been popula...
04/13/2018 ∙ by Chaochao Chen, et al. ∙ 0 ∙ share

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Machine Learning-Assisted Least Loaded Routing to Improve Performance of Circuit-Switched Networks

The Least Loaded (LL) routing algorithm has been in recent decades the r...
04/03/2018 ∙ by Gangxiang Shen, et al. ∙ 0 ∙ share

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GeniePath: Graph Neural Networks with Adaptive Receptive Paths

We present, GeniePath, a scalable approach for learning adaptive recepti...
02/03/2018 ∙ by Ziqi Liu, et al. ∙ 0 ∙ share

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Longfei Li

Featured Co-authors

Wei Chen

Ming Li

Le Song

Jun Zhou

Zhi-Hua Zhou

Ya Zhang

Meng Li

Quanshi Zhang

Peilin Zhao

Xiangliang Zhang

Xiaolong Li

Self-supervised Smoothing Graph Neural Networks

Stable and accurate numerical methods for generalized Kirchhoff-Love plates

Interpretable MTL from Heterogeneous Domains using Boosted Tree

SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks

A Time Attention based Fraud Transaction Detection Framework

Knowledge Isomorphism between Neural Networks

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

A Boosting Framework of Factorization Machine

Distributed Collaborative Hashing and Its Applications in Ant Financial

Machine Learning-Assisted Least Loaded Routing to Improve Performance of Circuit-Switched Networks

GeniePath: Graph Neural Networks with Adaptive Receptive Paths