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作品数:646被引量:939H指数:11
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相关领域:自动化与计算机技术更多>>
相关作者:禹龙田生伟赵建国孟欣裴楠更多>>
相关机构:新疆大学华东师范大学微梦创科网络科技(中国)有限公司吉林大学更多>>
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相关基金:国家自然科学基金中国博士后科学基金国家重点基础研究发展计划广东省自然科学基金更多>>
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IP2vec:an IP node representation model for IP geolocation
《Frontiers of Computer Science》2024年第6期189-204,共16页Fan ZHANG Meijuan YIN Fenlin LIU Xiangyang LUO Shuodi ZU 
the National Natural Science Foundation of China(Grant Nos.U1804263,U1736214,62172435);the Zhongyuan Science and Technology Innovation Leading Talent Project(No.214200510019)。
IP geolocation is essential for the territorial analysis of sensitive network entities,location-based services(LBS)and network fraud detection.It has important theoretical significance and application value.Measuremen...
关键词:IP geolocation network measurement node embedding 
SEOE:an option graph based semantically embedding method for prenatal depression detection
《Frontiers of Computer Science》2024年第6期245-258,共14页Xiaosong HAN Mengchen CAO Dong XU Xiaoyue FENG Yanchun LIANG Xiaoduo LANG Renchu GUAN 
the National Key R&D Program of China(No.2021YFF1201200);the National Natural Science Foundation of China(Grant Nos.61972174 and 62172187);the Science and Technology Planning Project of Jilin Province(No.20220201145GX,No.20200708112YY and No.20220601112FG);the Science and Technology Planning Project of Guangdong Province(No.2020A0505100018),Guangdong Universities’Innovation Team Project(No.2021KCXTD015)and Guangdong Key Disciplines Project(No.2021ZDJS138)。
Prenatal depression,which can affect pregnant women’s physical and psychological health and cause postpartum depression,is increasing dramatically.Therefore,it is essential to detect prenatal depression early and con...
关键词:questionnaire analyses text classification graph representation learning traveling salesman problem prenatal depression 
ARCHER:a ReRAM-based accelerator for compressed recommendation systems
《Frontiers of Computer Science》2024年第5期147-160,共14页Xinyang SHEN Xiaofei LIAO Long ZHENG Yu HUANG Dan CHEN Hai JIN 
This work was supported by the National Key R&D Program of China(No.2022YFB4501403);the National Natural Science Foundation of China(Grant Nos.62322205,62072195,61825202,and 61832006);the Zhejiang Lab(No.2022PI0AC02).
Modern recommendation systems are widely used in modern data centers.The random and sparse embedding lookup operations are the main performance bottleneck for processing recommendation systems on traditional platforms...
关键词:recommendation system RERAM processing-in-memory embedding layer 
Unsupervised social network embedding via adaptive specific mappings
《Frontiers of Computer Science》2024年第3期61-71,共11页Youming GE Cong HUANG Yubao LIU Sen ZHANG Weiyang KONG 
supported by the National Natural Science Foundation of China(Grant Nos.61572537,U1501252).
In this paper,we address the problem of unsuperised social network embedding,which aims to embed network nodes,including node attributes,into a latent low dimensional space.In recent methods,the fusion mechanism of no...
关键词:network embedding specific kernel mapping attention mechanism 
Uncertain knowledge graph embedding:an effective method combining multi-relation and multi-path被引量:2
《Frontiers of Computer Science》2024年第3期73-89,共17页Qi LIU Qinghua ZHANG Fan ZHAO Guoyin WANG 
the National Key Research and Development Program of China(Nos.2020YFC2003502,2021YFF0704101);the National Natural Science Foundation of China(Grant No.62276038);the Natural Science Foundation of Chongqing(Nos.cstc2019jcyj-cxttX0002,cstc2021ycjh-bgzxm0013);the Key Cooperation Project of Chongqing Municipal Education Commission(HZ20210-08).
Uncertain Knowledge Graphs(UKGs)are used to characterize the inherent uncertainty of knowledge and have a richer semantic structure than deterministic knowledge graphs.The research on the embedding of UKG has only rec...
关键词:knowledge representation uncertain knowledge graph multi-relation embedding uncertain reasoning 
Heterogeneous information network embedding with incomplete multi-view fusion
《Frontiers of Computer Science》2022年第5期221-223,共3页Susu ZHENG Weiwei YUAN Donghai GUAN 
This research was supported by the Fundamental Research Funds for the Central Universities of China(NS2019056).
1 Introduction and main contributions Multi-view based HIN embedding method embeds the multiple views of heterogeneous information networks(HIN)to the low-dimensional space.It can preserve rich structural and semantic...
关键词:network INCOMPLETE NETWORKS 
A Bayesian matrix factorization model for dynamic user embedding in recommender system
《Frontiers of Computer Science》2022年第5期233-235,共3页Kaihan ZHANG Zhiqiang WANG Jiye LIANG Xingwang ZHAO 
This work was supported by the National Natural Science Foundation of China(Grant Nos.U21A20473,61906111,and 72171137);the Projects of Key Research and Development Plan of Shanxi Province(201903D121162);the 1331 Engineering Project of Shanxi Province.
1 Introduction The main idea of recommender system is how to learn accurate users’embeddings from behavior data[1].Each dimension of users’embeddings can reflect the interests of users in different potential aspects...
关键词:DIMENSIONS system DYNAMIC 
Relation Reconstructive Binarization of word embeddings
《Frontiers of Computer Science》2022年第2期47-54,共8页Feiyang PAN Shuokai LI Xiang AO Qing HE 
The reseach work was supported by the National Key Research and Development Program of China(2017YFB1002104);the National Natural Science Foundation of China(Grant Nos.92046003,61976204,U1811461);Xiang Ao was also supported by the Project of Youth Innovation Promotion Association CAS and Beijing Nova Program(Z201100006820062).
Word-embedding acts as one of the backbones of modern natural language processing(NLP).Recently,with the need for deploying NLP models to low-resource devices,there has been a surge of interest to compress word embedd...
关键词:embedding compression variational auto-encoder binary word embedding 
Heterogeneous-attributes enhancement deep framework for network embedding被引量:1
《Frontiers of Computer Science》2021年第6期121-131,共11页Lisheng QIAO Fan ZHANG Xiaohui HUANG Kai LI Enhong CHEN 
This research was partially supported by the National Natural Science Foundation of China(Grants Nos.U1605251 and 61727809).
Network embedding,which targets at learning the vector representation of vertices,has become a crucial issue in network analysis.However,considering the complex structures and heterogeneous attributes in real-world ne...
关键词:network embedding heterogeneous-attributes deep framework inconsistent 
Fault-tolerant hamiltonian cycles and paths embedding into locally exchanged twisted cubes
《Frontiers of Computer Science》2021年第3期59-74,共16页Weibei FAN Jianxi FAN Zhijie HAN Peng LI Yujie ZHANG Ruchuan WANG 
supported by the National Natural Science Foundation of China(Grant Nos.U1905211,61872196,61902195 and 61972272);Natural Science Foundation of Jiangsu Province(BK20200753);Natural Science Fund for Colleges and Universities in Jiangsu Province(General Program,19KJB520045),NUPTSF(NY219151,NY219131)。
The foundation of information society is computer interconnection network,and the key of information exchange is communication algorithm.Finding interconnection networks with simple routing algorithm and high fault-to...
关键词:interconnection network FAULT-TOLERANT LeTQ_(s t) hamiltonian cycle hamiltonian path 
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