Search Results for author: Xiaolei Liu

Found 9 papers, 0 papers with code

Neural Node Matching for Multi-Target Cross Domain Recommendation

no code implementations12 Feb 2023 Wujiang Xu, Shaoshuai Li, Mingming Ha, Xiaobo Guo, Qiongxu Ma, Xiaolei Liu, Linxun Chen, Zhenfeng Zhu

To tackle the aforementioned issues, we propose a simple-yet-effective neural node matching based framework for more general CDR settings, i. e., only (few) partially overlapped users exist across domains and most overlapped as well as non-overlapped users do have sparse interactions.

Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation

no code implementations30 Nov 2022 Ying Chen, Siwei Qiang, Mingming Ha, Xiaolei Liu, Shaoshuai Li, Lingfeng Yuan, Xiaobo Guo, Zhenfeng Zhu

Differing from homogeneous graph, DA in heterogeneous graph has greater challenges: heterogeneity of information requires DA strategies to effectively handle heterogeneous relations, which considers the information contribution of different types of neighbors and edges to the target nodes.

Data Augmentation Graph Learning

Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation

no code implementations16 May 2022 Naicheng Guo, Xiaolei Liu, Shaoshuai Li, Qiongxu Ma, Kaixin Gao, Bing Han, Lin Zheng, Xiaobo Guo

In this paper, we propose a Poincar\'{e}-based heterogeneous graph neural network named PHGR to model the sequential pattern information as well as hierarchical information contained in the data of SR scenarios simultaneously.

Graph Representation Learning Sequential Recommendation

THOR, Trace-based Hardware-adaptive layer-ORiented Natural Gradient Descent Computation

no code implementations AAAI Technical Track on Machine Learning 2021 Mengyun Chen, Kaixin Gao, Xiaolei Liu, Zidong Wang, Ningxi Ni, Qian Zhang, Lei Chen, Chao Ding, ZhengHai Huang, Min Wang, Shuangling Wang, Fan Yu, Xinyuan Zhao, Dachuan Xu

It is well-known that second-order optimizer can accelerate the training of deep neural networks, however, the huge computation cost of second-order optimization makes it impractical to apply in real practice.

Adversarial Samples on Android Malware Detection Systems for IoT Systems

no code implementations12 Feb 2019 Xiaolei Liu, Xiaojiang Du, Xiaosong Zhang, Qingxin Zhu, Mohsen Guizani

An automated testing framework is needed to help these learning-based malware detection systems for IoT devices perform security analysis.

Android Malware Detection Malware Detection

Weighted-Sampling Audio Adversarial Example Attack

no code implementations26 Jan 2019 Xiaolei Liu, Xiaosong Zhang, Kun Wan, Qingxin Zhu, Yufei Ding

In this paper, we propose~\textit{weighted-sampling audio adversarial examples}, focusing on the numbers and the weights of distortion to reinforce the attack.

Adversarial Attack Automatic Speech Recognition +3

A Black-box Attack on Neural Networks Based on Swarm Evolutionary Algorithm

no code implementations26 Jan 2019 Xiaolei Liu, Yuheng Luo, Xiaosong Zhang, Qingxin Zhu

Our experimental results show that both the MNIST images and the CIFAR-10 images can be perturbed to successful generate a black-box attack with 100\% probability on average.

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