Longfei Li | DeepAI

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Featured Co-authors

Wei Chen
332 publications
Yue Zhang
236 publications
Yan Wang
215 publications
Ming Li
199 publications
Fei Wu
174 publications
Qi Liu
156 publications
Kai Zhang
131 publications
Ya Zhang
123 publications
Jun Zhou
122 publications
Cheng Li
122 publications
Le Song
105 publications

∙ 09/06/2023

Enhancing Event Sequence Modeling with Contrastive Relational Inference

Neural temporal point processes(TPPs) have shown promise for modeling co...

0 Yan Wang, et al. ∙

∙ 08/23/2023

Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders

Sequential recommenders have been widely used in industry due to their s...

0 Yueqi Wang, et al. ∙

∙ 08/21/2023

Leveraging Large Language Models for Pre-trained Recommender Systems

Recent advancements in recommendation systems have shifted towards more ...

0 Zhixuan Chu, et al. ∙

∙ 08/21/2023

Enhancing Recommender Systems with Large Language Model Reasoning Graphs

Recommendation systems aim to provide users with relevant suggestions, b...

0 Yan Wang, et al. ∙

∙ 05/19/2023

ALT: An Automatic System for Long Tail Scenario Modeling

In this paper, we consider the problem of long tail scenario modeling wi...

0 Ya-Lin Zhang, et al. ∙

∙ 02/13/2023

DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation

In recommendation scenarios, there are two long-standing challenges, i.e...

0 Feng Zhu, et al. ∙

∙ 11/01/2022

Robust Direct Learning for Causal Data Fusion

In the era of big data, the explosive growth of multi-source heterogeneo...

0 Xinyu Li, et al. ∙

∙ 01/08/2022

Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading

Radiomics and deep learning have shown high popularity in automatic glio...

3 Yeqi Wang, et al. ∙

∙ 08/18/2021

A Unified Framework for Cross-Domain and Cross-System Recommendations

Cross-Domain Recommendation (CDR) and Cross-System Recommendation (CSR) ...

0 Feng Zhu, et al. ∙

∙ 03/02/2021

Cross-Domain Recommendation: Challenges, Progress, and Prospects

To address the long-standing data sparsity problem in recommender system...

0 Feng Zhu, et al. ∙

∙ 12/13/2020

Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction

In the Click-Through Rate (CTR) prediction scenario, user's sequential b...

13 Kai Zhang, et al. ∙

∙ 09/02/2020

Self-supervised Smoothing Graph Neural Networks

This paper studies learning node representations with GNNs for unsupervi...

16 Lu Yu, et al. ∙

∙ 08/04/2020

Stable and accurate numerical methods for generalized Kirchhoff-Love plates

Efficient and accurate numerical algorithms are developed to solve a gen...

0 Duong T. A. Nguyen, et al. ∙

∙ 03/16/2020

Interpretable MTL from Heterogeneous Domains using Boosted Tree

Multi-task learning (MTL) aims at improving the generalization performan...

0 Ya-Lin Zhang, et al. ∙

∙ 03/05/2020

SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks

Machine learning techniques have been widely applied in Internet compani...

0 Qitao Shi, et al. ∙

∙ 12/26/2019

A Time Attention based Fraud Transaction Detection Framework

With online payment platforms being ubiquitous and important, fraud tran...

0 Longfei Li, et al. ∙

∙ 08/05/2019

Knowledge Isomorphism between Neural Networks

This paper aims to analyze knowledge isomorphism between pre-trained dee...

6 Ruofan Liang, et al. ∙

∙ 05/11/2018

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...

0 Ya-Lin Zhang, et al. ∙

∙ 04/17/2018

A Boosting Framework of Factorization Machine

Recently, Factorization Machines (FM) has become more and more popular f...

0 Longfei Li, et al. ∙

∙ 04/13/2018

Distributed Collaborative Hashing and Its Applications in Ant Financial

Collaborative filtering, especially latent factor model, has been popula...

0 Chaochao Chen, et al. ∙

∙ 04/03/2018

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...

0 Gangxiang Shen, et al. ∙

∙ 02/03/2018

GeniePath: Graph Neural Networks with Adaptive Receptive Paths

We present, GeniePath, a scalable approach for learning adaptive recepti...

0 Ziqi Liu, et al. ∙

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