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检索条件"机构=The National Engineering Laboratory for Big Data System Computing Technology"
823 条 记 录,以下是411-420 订阅
排序:
Adaptive Transfer Learning for Heterogeneous One-Class Collaborative Filtering
Adaptive Transfer Learning for Heterogeneous One-Class Colla...
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International Joint Conference on Neural Networks (IJCNN)
作者: Xiancong Chen Weike Pan Zhong Ming National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ) Shenzhen University College of Computer Science and Software Engineering Shenzhen University Shenzhen China
In this paper, we study a recent and important recommendation problem called heterogeneous one-class collaborative filtering (HOCCF), where we have two different types of one-class feedback, i.e., a set of browses and... 详细信息
来源: 评论
A data-Centric Accelerator for High-Performance Hypergraph Processing  22
A Data-Centric Accelerator for High-Performance Hypergraph P...
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Proceedings of the 55th Annual IEEE/ACM International Symposium on Microarchitecture
作者: Qinggang Wang Long Zheng Ao Hu Yu Huang Pengcheng Yao Chuangyi Gui Xiaofei Liao Hai Jin Jingling Xue National Engineering Research Center for Big Data Technology and System/Services Computing Technology and System Lab/Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China and Zhejiang Lab Hangzhou China National Engineering Research Center for Big Data Technology and System/Services Computing Technology and System Lab/Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China School of Computer Science and Engineering University of New South Wales Sydney NSW Australia
Hypergraph processing has emerged as a powerful approach for analyzing complex multilateral relationships among multiple entities. Past research on building hypergraph systems suggests that changing the scheduling ord... 详细信息
来源: 评论
Multi-task representation learning with multi-view graph convolutional networks
arXiv
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arXiv 2021年
作者: Huang, Hong Song, Yu Wu, Yao Shi, Jia Xie, Xia Jin, Hai National Engineering Research Center for Big Data Technology Service Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China
Link prediction and node classification are two important downstream tasks of network representation learning. Existing methods have achieved acceptable results but they perform these two tasks separately, which requi... 详细信息
来源: 评论
PAT: Preference-Aware Transfer Learning for Recommendation with Heterogeneous Feedback
PAT: Preference-Aware Transfer Learning for Recommendation w...
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International Joint Conference on Neural Networks (IJCNN)
作者: Feng Liang Wei Dai Yunfeng Huang Weike Pan Zhong Ming National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ) Shenzhen University College of Computer Science and Software Engineering Shenzhen University Shenzhen China
In this paper, we study an important recommendation problem with heterogeneous feedback of users' grade scores such as 5-star grade scores and like/dislike binary ratings assigned to items. As a response, we addre... 详细信息
来源: 评论
Dual Similarity Learning for Heterogeneous One-Class Collaborative Filtering
Dual Similarity Learning for Heterogeneous One-Class Collabo...
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International Conference on big data and Smart computing (bigCOMP)
作者: Xiancong Chen Weike Pan Zhong Ming National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ) Shenzhen University College of Computer Science and Software Engineering Shenzhen University Shenzhen China
In this paper, we focus on a recently studied problem in recommendation called heterogeneous one-class collaborative filtering (HOCCF), which consists of different types of feedback, e.g., target feedback and auxiliar... 详细信息
来源: 评论
Towards Demystifying Android Adware: dataset and Payload Location  39
Towards Demystifying Android Adware: Dataset and Payload Loc...
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39th ACM/IEEE International Conference on Automated Software engineering Workshops, ASEW 2024
作者: Wang, Chao Liu, Tianming Zhao, Yanjie Zhang, Lin Du, Xiaoning Li, Li Wang, Haoyu Monash University Clayton Australia Huazhong University of Science and Technology Wuhan China School of Cyber Science and Engineering Huazhong University of Science and Technology Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security China The National Computer Emergency Response Beijing China Beihang University Beijing China
Adware represents a pervasive threat in the mobile ecosystem, yet its inherent characteristics have been largely overlooked by previous research. This work takes a crucial step towards demystifying Android adware. We ... 详细信息
来源: 评论
Sequence-Aware Factored Mixed Similarity Model for Next-Item Recommendation
Sequence-Aware Factored Mixed Similarity Model for Next-Item...
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International Conference on big data and Smart computing (bigCOMP)
作者: Liulan Zhong Jing Lin Weike Pan Zhong Ming National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ) Shenzhen University College of Computer Science and Software Engineering Shenzhen University Shenzhen China
Sequence-aware next-item recommendation has recently been studied because of the noteworthy usefulness of the sequential information integrated into recommendation algorithms. Following the development thread of seque... 详细信息
来源: 评论
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction
arXiv
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arXiv 2022年
作者: Wang, Zixiao Guo, Yuluo Zhao, Jin Zhang, Yu Yu, Hui Liao, Xiaofei Wang, Biao Yu, Ting National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China Zhejiang Lab Hangzhou China
In this paper, we propose a Graph Inception Diffusion Networks(GIDN) model. This model generalizes graph diffusion in different feature spaces, and uses the inception module to avoid the large amount of computations c... 详细信息
来源: 评论
PointFaceFormer: Local and Global Attention Based Transformer for 3D Point Cloud Face Recognition
PointFaceFormer: Local and Global Attention Based Transforme...
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International Conference on Automatic Face and Gesture Recognition
作者: Ziqi Gao Qiufu Li Gui Wang Linlin Shen Computer Vision Institute Shenzhen University China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China Department of Computer Science University of Nottingham Ningbo China
Existing 3D point cloud-based facial recognition struggles to fully leverage both global and local information inherent in the 3D point cloud data. In this paper, we introduce the PointFaceFormer, the first Transforme... 详细信息
来源: 评论
An Efficient Block Validation Mechanism for UTXO-based Blockchains
An Efficient Block Validation Mechanism for UTXO-based Block...
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International Symposium on Parallel and Distributed Processing (IPDPS)
作者: Xiaohai Dai Bin Xiao Jiang Xiao Hai Jin National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology China Department of Computing The Hong Kong Polytechnic University Hong Kong
It has been recognized that one of the bottlenecks in the UTXO-based blockchain systems is the slow block validation - the process of validating a newly-received block by a node before locally storing it and further b... 详细信息
来源: 评论