{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T08:43:04Z","timestamp":1771490584340,"version":"3.50.1"},"reference-count":23,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2019,10,4]],"date-time":"2019-10-04T00:00:00Z","timestamp":1570147200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Cyber-Phys. Syst."],"published-print":{"date-parts":[[2019,10,31]]},"abstract":"<jats:p>\n            <jats:bold>C<\/jats:bold>\n            yber-\n            <jats:bold>P<\/jats:bold>\n            hysical-\n            <jats:bold>S<\/jats:bold>\n            ocial\n            <jats:bold>S<\/jats:bold>\n            ystems (CPSS) integrating the cyber, physical, and social worlds is a key technology to provide proactive and personalized services for humans. In this paper, we studied CPSS by taking\n            <jats:bold>h<\/jats:bold>\n            uman-\n            <jats:bold>i<\/jats:bold>\n            nteraction-aware\n            <jats:bold>b<\/jats:bold>\n            ig\n            <jats:bold>d<\/jats:bold>\n            ata (HIBD) as the starting point. However, the HIBD collected from all aspects of our daily lives are of high-order and large-scale, which bring ever-increasing challenges for their cleaning, integration, processing, and interpretation. Therefore, new strategies for representing and processing of HIBD become increasingly important in the provision of CPSS services. As an emerging technique, tensor is proving to be a suitable and promising representation and processing tool of HIBD. In particular, tensor networks, as a significant tensor decomposition technique, bring advantages of computing, storage, and applications of HIBD. Furthermore,\n            <jats:bold>T<\/jats:bold>\n            ensor-\n            <jats:bold>T<\/jats:bold>\n            rain (TT), a type of tensor network, is particularly well suited for representing and processing high-order data by decomposing a high-order tensor into a series of low-order tensors. However, at present, there is still need for an efficient Tensor-Train decomposition method for massive data. Therefore, for larger-scale HIBD, a highly-efficient computational method of Tensor-Train is required. In this paper, a\n            <jats:bold>d<\/jats:bold>\n            istributed\n            <jats:bold>T<\/jats:bold>\n            ensor-\n            <jats:bold>T<\/jats:bold>\n            rain (DTT) decomposition method is proposed to process the high-order and large-scale HIBD. The high performance of the proposed DTT such as the execution time is demonstrated with a case study on a typical form of CPSS data,\n            <jats:bold>C<\/jats:bold>\n            omputed\n            <jats:bold>T<\/jats:bold>\n            omography (CT) image data.\n          <\/jats:p>","DOI":"10.1145\/3323926","type":"journal-article","created":{"date-parts":[[2019,10,7]],"date-time":"2019-10-07T12:20:59Z","timestamp":1570450859000},"page":"1-15","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":60,"title":["A Distributed Tensor-Train Decomposition Method for Cyber-Physical-Social Services"],"prefix":"10.1145","volume":"3","author":[{"given":"Xiaokang","family":"Wang","sequence":"first","affiliation":[{"name":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, China and Department of Computer Science, St. Francis Xavier University, Nova Scotia, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7986-4244","authenticated-orcid":false,"given":"Laurence T.","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, China and Department of Computer Science, St. Francis Xavier University, Nova Scotia, Canada"}]},{"given":"Yihao","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"}]},{"given":"Xingang","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"}]},{"given":"Qingxia","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Fudan University, Shanghai, China"}]},{"given":"M. Jamal","family":"Deen","sequence":"additional","affiliation":[{"name":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, China and Department of Electrical and Computer Engineering, McMaster University, Hamilton, Ontario, Canada"}]}],"member":"320","published-online":{"date-parts":[[2019,10,4]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Era of big data processing: A new approach via tensor networks and tensor decompositions. arxiv preprint arxiv:1403.2048","author":"Cichocki Andrzej","year":"2014"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1137\/S0895479896305696"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401933"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2013.2296873"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1137\/07070111X"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2183140"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.3390\/s17010130"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCC.2015.36"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-26187-4_7"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-011-0710-5"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2002.1047975"},{"key":"e_1_2_1_12_1","volume-title":"Anil Kumar Tripathi, and Laurence Tianruo Yang.","author":"Vidyarthi Deo Prakash","year":"2008"},{"key":"e_1_2_1_13_1","article-title":"A multi-order distributed HOSVD with its incremental computing for big services in cyber-physical-social systems","volume":"10","author":"Wang Xiaokang","year":"2018","journal-title":"IEEE Trans. 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Syst. https:\/\/doi.org\/10.1016\/j.future."},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2013.223"},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2748800"},{"key":"e_1_2_1_23_1","volume-title":"Decomposition of big tensors with low multilinear rank. arxiv preprint arxiv:1412.1885","author":"Zhou Guoxu","year":"2014"}],"container-title":["ACM Transactions on Cyber-Physical Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3323926","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3323926","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:54:12Z","timestamp":1750204452000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3323926"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10,4]]},"references-count":23,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2019,10,31]]}},"alternative-id":["10.1145\/3323926"],"URL":"https:\/\/doi.org\/10.1145\/3323926","relation":{},"ISSN":["2378-962X","2378-9638"],"issn-type":[{"value":"2378-962X","type":"print"},{"value":"2378-9638","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,10,4]]},"assertion":[{"value":"2018-09-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-02-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-10-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}