Le Yu | DeepAI

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Yang Liu
344 publications
Ting Liu
188 publications
Jun Liu
179 publications
Xiangyu Zhang
153 publications
Hao Zhou
145 publications
Jing Li
126 publications
Qing Li
108 publications
Haoyu Wang
104 publications
Hui Xiong
89 publications
Ting Chen
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Fuzhen Zhuang
63 publications

∙ 08/29/2023

PEM: Representing Binary Program Semantics for Similarity Analysis via a Probabilistic Execution Model

Binary similarity analysis determines if two binary executables are from...

0 Xiangzhe Xu, et al. ∙

∙ 08/22/2023

A Simple Framework for Multi-mode Spatial-Temporal Data Modeling

Spatial-temporal data modeling aims to mine the underlying spatial relat...

0 Zihang Liu, et al. ∙

∙ 08/10/2023

Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification

Patent classification aims to assign multiple International Patent Class...

0 Tao Zou, et al. ∙

∙ 07/31/2023

TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification

Encrypted traffic classification is receiving widespread attention from ...

0 Haozhen Zhang, et al. ∙

∙ 07/24/2023

An Empirical Evaluation of Temporal Graph Benchmark

In this paper, we conduct an empirical evaluation of Temporal Graph Benc...

0 Le Yu, et al. ∙

∙ 03/23/2023

Towards Better Dynamic Graph Learning: New Architecture and Unified Library

We propose DyGFormer, a new Transformer-based architecture for dynamic g...

0 Le Yu, et al. ∙

∙ 01/29/2023

Demystifying Privacy Policy of Third-Party Libraries in Mobile Apps

The privacy of personal information has received significant attention i...

0 Kaifa Zhao, et al. ∙

∙ 12/04/2022

A Fine-grained Chinese Software Privacy Policy Dataset for Sequence Labeling and Regulation Compliant Identification

Privacy protection raises great attention on both legal levels and user ...

0 Kaifa Zhao, et al. ∙

∙ 05/31/2022

Label-Enhanced Graph Neural Network for Semi-supervised Node Classification

Graph Neural Networks (GNNs) have been widely applied in the semi-superv...

0 Le Yu, et al. ∙

∙ 04/12/2022

Modelling Evolutionary and Stationary User Preferences for Temporal Sets Prediction

Given a sequence of sets, where each set is associated with a timestamp ...

0 Le Yu, et al. ∙

∙ 05/24/2021

Heterogeneous Graph Representation Learning with Relation Awareness

Representation learning on heterogeneous graphs aims to obtain meaningfu...

241 Le Yu, et al. ∙

∙ 12/29/2020

Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning

Heterogeneous graphs are pervasive in practical scenarios, where each gr...

12 Le Yu, et al. ∙

∙ 08/26/2020

Cross-regional oil palm tree counting and detection via multi-level attention domain adaptation network

Providing an accurate evaluation of palm tree plantation in a large regi...

19 Juepeng Zheng, et al. ∙

∙ 08/13/2020

An Empirical Evaluation of GDPR Compliance Violations in Android mHealth Apps

The purpose of the General Data Protection Regulation (GDPR) is to provi...

0 Ming Fan, et al. ∙

∙ 07/19/2020

STAN: Towards Describing Bytecodes of Smart Contract

More than eight million smart contracts have been deployed into Ethereum...

1 Xiaoqi Li, et al. ∙

∙ 06/20/2020

Predicting Temporal Sets with Deep Neural Networks

Given a sequence of sets, where each set contains an arbitrary number of...

0 Le Yu, et al. ∙

∙ 01/27/2019

A Structured Approach to the Analysis of Remote Sensing Images

The number of studies for the analysis of remote sensing images has been...

0 Donghui Yan, et al. ∙

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