{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T03:21:27Z","timestamp":1792034487965,"version":"4.4.0"},"reference-count":70,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61991411"],"award-info":[{"award-number":["61991411"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62076148"],"award-info":[{"award-number":["62076148"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U22A2057"],"award-info":[{"award-number":["U22A2057"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018537","name":"National Science and Technology Major Project","doi-asserted-by":"publisher","award":["2021ZD0112002"],"award-info":[{"award-number":["2021ZD0112002"]}],"id":[{"id":"10.13039\/501100018537","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shandong Excellent Young Scientists Fund Program","award":["2022HWYQ-042"],"award-info":[{"award-number":["2022HWYQ-042"]}]},{"name":"Young Taishan Scholars Program of Shandong Province","award":["tsqn201909029"],"award-info":[{"award-number":["tsqn201909029"]}]},{"name":"Project for Self-Developed Innovation Team of Jinan City","award":["2021GXRC038"],"award-info":[{"award-number":["2021GXRC038"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tip.2024.3436615","type":"journal-article","created":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T14:12:16Z","timestamp":1723126336000},"page":"4501-4515","source":"Crossref","is-referenced-by-count":34,"title":["Learning Common Semantics via Optimal Transport for Contrastive Multi-View Clustering"],"prefix":"10.1109","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1057-7909","authenticated-orcid":false,"given":"Qian","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Control Science and Engineering, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9419-9038","authenticated-orcid":false,"given":"Lin","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Control Science and Engineering, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1344-4415","authenticated-orcid":false,"given":"Ran","family":"Song","sequence":"additional","affiliation":[{"name":"School of Control Science and Engineering, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0972-4008","authenticated-orcid":false,"given":"Runmin","family":"Cong","sequence":"additional","affiliation":[{"name":"School of Control Science and Engineering, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3774-2134","authenticated-orcid":false,"given":"Yonghuai","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Edge Hill University, Ormskirk, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4960-3190","authenticated-orcid":false,"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Control Science and Engineering, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2919900"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5867"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3136094"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3128325"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3051182"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2023.3236698"},{"key":"ref7","first-page":"5092","article-title":"COMIC: Multi-view clustering without parameter selection","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Peng"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bts220"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/1991996.1992025"},{"key":"ref10","first-page":"1","article-title":"Co-regularized multi-view spectral clustering","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"24","author":"Kumar"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.383"},{"key":"ref12","article-title":"Fashion-MNIST: A novel image dataset for benchmarking machine learning algorithms","author":"Xiao","year":"2017","journal-title":"arXiv:1708.07747"},{"key":"ref13","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01102"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00910"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00131"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01558"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02296"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01902"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3243521"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2903810"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3061660"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3055039"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3224978"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3333557"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3232604"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6146"},{"key":"ref28","article-title":"Deep embedded multi-view clustering via jointly learning latent representations and graphs","author":"Huang","year":"2022","journal-title":"arXiv:2205.03803"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00828"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3211476"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3243591"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3146744"},{"issue":"1","key":"ref33","first-page":"1","article-title":"Dual-GCL: Dual-graph contrastive learning for unsupervised person re-identification","volume":"1","author":"Zhang","year":"2024","journal-title":"IEEE Trans. Cognit. Develop. Syst."},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1017\/cbo9781107297296.002"},{"key":"ref35","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-540-71050-9","volume-title":"Optimal Transport: Old and New","volume":"338","author":"Villani","year":"2009"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20053-3_6"},{"key":"ref37","first-page":"1542","article-title":"Graph optimal transport for cross-domain alignment","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chen"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00037"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01551"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66182-7_34"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01915"},{"key":"ref42","first-page":"1","article-title":"Joint distribution optimal transportation for domain adaptation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Courty"},{"key":"ref43","first-page":"849","article-title":"Optimal transport for multi-source domain adaptation under target shift","volume-title":"Proc. 22nd Int. Conf. Artif. Intell. Statist.","author":"Redko"},{"key":"ref44","first-page":"1","article-title":"Understanding and generalizing contrastive learning from the inverse optimal transport perspective","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Shi"},{"key":"ref45","first-page":"1","article-title":"Self-labelling via simultaneous clustering and representation learning","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Asano"},{"key":"ref46","first-page":"9912","article-title":"Unsupervised learning of visual features by contrasting cluster assignments","volume-title":"Proc. NIPS","author":"Caron"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00676"},{"key":"ref48","article-title":"DeCLUTR: Deep contrastive learning for unsupervised textual representations","author":"Giorgi","year":"2020","journal-title":"arXiv:2006.03659"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3404655"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00148"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00692"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i10.17037"},{"key":"ref53","first-page":"2148","article-title":"Multi-view contrastive graph clustering","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Pan"},{"key":"ref54","first-page":"1","article-title":"Sinkhorn distances: Lightspeed computation of optimal transport","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"26","author":"Cuturi"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58607-2_16"},{"key":"ref56","first-page":"1","article-title":"Self-weighted contrastive learning among multiple views for mitigating representation degeneration","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"36","author":"Xu"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/447"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01463"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/BigData52589.2021.9671851"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3193569"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/1646396.1646452"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000042993.50813.60"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/2393347.2396381"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2533389"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1266"},{"key":"ref66","article-title":"Deep-significance\u2013easy and meaningful statistical significance testing in the age of neural networks","author":"Ulmer","year":"2022","journal-title":"arXiv:2204.06815"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2021.3135152"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i1.19988"},{"key":"ref69","first-page":"22626","article-title":"A noisy elephant in the room: Is your out-of-distribution detector robust to label noise?","volume-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit.","author":"Humblot-Renaux"},{"issue":"11","key":"ref70","first-page":"1","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/83\/10346232\/10630657.pdf?arnumber=10630657","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,18]],"date-time":"2025-08-18T19:49:25Z","timestamp":1755546565000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10630657\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":70,"URL":"https:\/\/doi.org\/10.1109\/tip.2024.3436615","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}