{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T21:04:54Z","timestamp":1781989494163,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Science Foundation of China","award":["62106164"],"award-info":[{"award-number":["62106164"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,10]]},"DOI":"10.1145\/3503161.3548248","type":"proceedings-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T15:42:35Z","timestamp":1665416555000},"page":"3421-3429","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":28,"title":["Learning Smooth Representation for Multi-view Subspace Clustering"],"prefix":"10.1145","author":[{"given":"Shudong","family":"Huang","sequence":"first","affiliation":[{"name":"Sichuan University, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yixi","family":"Liu","sequence":"additional","affiliation":[{"name":"Sichuan University, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yazhou","family":"Ren","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ivor W.","family":"Tsang","sequence":"additional","affiliation":[{"name":"University of Technology Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zenglin","family":"Xu","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology Shenzhen, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiancheng","family":"Lv","sequence":"additional","affiliation":[{"name":"Sichuan University, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,10,10]]},"reference":[{"key":"e_1_3_2_2_1_1","first-page":"351","article-title":"Convergence of alternating optimization","volume":"11","author":"Bezdek James C","year":"2003","unstructured":"James C Bezdek and Richard J Hathaway . 2003 . Convergence of alternating optimization . Neural, Parallel & Scientific Computations 11 , 4 (2003), 351 -- 368 . James C Bezdek and Richard J Hathaway. 2003. Convergence of alternating optimization. Neural, Parallel & Scientific Computations 11, 4 (2003), 351--368.","journal-title":"Neural, Parallel & Scientific Computations"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2004.10095"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298657"},{"key":"e_1_3_2_2_4_1","unstructured":"Jonathan Chang and David Blei. 2009. Relational topic models for document networks. In Artificial intelligence and statistics. PMLR 81--88.  Jonathan Chang and David Blei. 2009. Relational topic models for document networks. In Artificial intelligence and statistics. PMLR 81--88."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5756"},{"key":"e_1_3_2_2_6_1","volume-title":"Smoothed Multiview Subspace Clustering. In International Conference on Neural Computing for Advanced Applications. Springer, 128--140","author":"Chen Peng","year":"2021","unstructured":"Peng Chen , Liang Liu , Zhengrui Ma , and Zhao Kang . 2021 . Smoothed Multiview Subspace Clustering. In International Conference on Neural Computing for Advanced Applications. Springer, 128--140 . Peng Chen, Liang Liu, Zhengrui Ma, and Zhao Kang. 2021. Smoothed Multiview Subspace Clustering. In International Conference on Neural Computing for Advanced Applications. Springer, 128--140."},{"key":"e_1_3_2_2_7_1","unstructured":"Fan RK Chung and Fan Chung Graham. 1997. Spectral graph theory. Number 92. American Mathematical Soc.  Fan RK Chung and Fan Chung Graham. 1997. Spectral graph theory. Number 92. American Mathematical Soc."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206547"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.482"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04180-8_45"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2846555"},{"key":"e_1_3_2_2_12_1","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","volume":"27","author":"Huang Jin","year":"2013","unstructured":"Jin Huang , Feiping Nie , and Heng Huang . 2013 . Spectral rotation versus kmeans in spectral clustering . In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 27 . 431--437. Jin Huang, Feiping Nie, and Heng Huang. 2013. Spectral rotation versus kmeans in spectral clustering. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 27. 431--437."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.11.007"},{"key":"e_1_3_2_2_14_1","volume-title":"Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-view Clustering","author":"Huang Shudong","year":"2021","unstructured":"Shudong Huang , Ivor Tsang , Zenglin Xu , and Jian Cheng Lv. 2021. Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-view Clustering . IEEE Transactions on Knowledge and Data Engineering ( 2021 ). Shudong Huang, Ivor Tsang, Zenglin Xu, and Jian Cheng Lv. 2021. Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-view Clustering. IEEE Transactions on Knowledge and Data Engineering (2021)."},{"key":"e_1_3_2_2_15_1","volume-title":"Proceedings of the 29th ACM International Conference on Multimedia. 2308--2316","author":"Huang Shudong","year":"2021","unstructured":"Shudong Huang , IvorWTsang, Zenglin Xu , Jiancheng Lv , and Quanhui Liu . 2021 . CDD: Multi-view Subspace Clustering via Cross-view Diversity Detection . In Proceedings of the 29th ACM International Conference on Multimedia. 2308--2316 . Shudong Huang, IvorWTsang, Zenglin Xu, Jiancheng Lv, and Quanhui Liu. 2021. CDD: Multi-view Subspace Clustering via Cross-view Diversity Detection. In Proceedings of the 29th ACM International Conference on Multimedia. 2308--2316."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-017-0543-9"},{"key":"e_1_3_2_2_17_1","volume-title":"Auto-weighted multi-view co-clustering with bipartite graphs. Information Sciences 512","author":"Huang Shudong","year":"2020","unstructured":"Shudong Huang , Zenglin Xu , Ivor W. Tsang , and Zhao Kang . 2020. Auto-weighted multi-view co-clustering with bipartite graphs. Information Sciences 512 ( 2020 ). Shudong Huang, Zenglin Xu, IvorW. Tsang, and Zhao Kang. 2020. Auto-weighted multi-view co-clustering with bipartite graphs. Information Sciences 512 (2020)."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/1460096.1460104"},{"key":"e_1_3_2_2_19_1","volume-title":"Data clustering: 50 years beyond K-means. Pattern recognition letters 31, 8","author":"Jain Anil K","year":"2010","unstructured":"Anil K Jain . 2010. Data clustering: 50 years beyond K-means. Pattern recognition letters 31, 8 ( 2010 ), 651--666. Anil K Jain. 2010. Data clustering: 50 years beyond K-means. Pattern recognition letters 31, 8 (2010), 651--666."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/375"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5867"},{"key":"e_1_3_2_2_22_1","volume-title":"Proceedings of IEEE International Conference on Machine Learning. 393--400","author":"Kumar Abhishek","year":"2011","unstructured":"Abhishek Kumar and Hal Daum\u00e9 . 2011 . A co-training approach for multi-view spectral clustering . In Proceedings of IEEE International Conference on Machine Learning. 393--400 . Abhishek Kumar and Hal Daum\u00e9. 2011. A co-training approach for multi-view spectral clustering. In Proceedings of IEEE International Conference on Machine Learning. 393--400."},{"key":"e_1_3_2_2_23_1","unstructured":"Abhishek Kumar Piyush Rai and Hal Daume. 2012. Co-regularized multi-view spectral clustering. In Advances in Neural Information Processing Systems. 1413-- 1421.  Abhishek Kumar Piyush Rai and Hal Daume. 2012. Co-regularized multi-view spectral clustering. In Advances in Neural Information Processing Systems. 1413-- 1421."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2917857"},{"key":"e_1_3_2_2_25_1","unstructured":"Andrew Y Ng Michael I Jordan and Yair Weiss. 2002. On spectral clustering: Analysis and an algorithm. In Advances in Neural Information Processing Systems. 849--856.  Andrew Y Ng Michael I Jordan and Yair Weiss. 2002. On spectral clustering: Analysis and an algorithm. In Advances in Neural Information Processing Systems. 849--856."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10909"},{"key":"e_1_3_2_2_27_1","volume-title":"Proceedings of the 25th International Joint Conference on Artificial Intelligence. 1881--1887","author":"Nie Feiping","year":"2016","unstructured":"Feiping Nie , Jing Li , and Xuelong Li . 2016 . Parameter-free auto-weighted multiple graph learning: A framework for multiview clustering and semi-supervised classification . In Proceedings of the 25th International Joint Conference on Artificial Intelligence. 1881--1887 . Feiping Nie, Jing Li, and Xuelong Li. 2016. Parameter-free auto-weighted multiple graph learning: A framework for multiview clustering and semi-supervised classification. In Proceedings of the 25th International Joint Conference on Artificial Intelligence. 1881--1887."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220049"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623726"},{"key":"e_1_3_2_2_30_1","volume-title":"Adversarially regularized graph autoencoder for graph embedding. arXiv preprint arXiv:1802.04407","author":"Pan Shirui","year":"2018","unstructured":"Shirui Pan , Ruiqi Hu , Guodong Long , Jing Jiang , Lina Yao , and Chengqi Zhang . 2018. Adversarially regularized graph autoencoder for graph embedding. arXiv preprint arXiv:1802.04407 ( 2018 ). Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, and Chengqi Zhang. 2018. Adversarially regularized graph autoencoder for graph embedding. arXiv preprint arXiv:1802.04407 (2018)."},{"key":"e_1_3_2_2_31_1","volume-title":"Graph clustering. Computer science review 1, 1","author":"Schaeffer Satu Elisa","year":"2007","unstructured":"Satu Elisa Schaeffer . 2007. Graph clustering. Computer science review 1, 1 ( 2007 ), 27--64. Satu Elisa Schaeffer. 2007. Graph clustering. Computer science review 1, 1 (2007), 27--64."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289451"},{"key":"e_1_3_2_2_33_1","volume-title":"The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains","author":"Shuman David I","year":"2013","unstructured":"David I Shuman , Sunil K Narang , Pascal Frossard , Antonio Ortega , and Pierre Vandergheynst . 2013. The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains . IEEE signal processing magazine 30, 3 ( 2013 ), 83--98. David I Shuman, Sunil K Narang, Pascal Frossard, Antonio Ortega, and Pierre Vandergheynst. 2013. The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains. IEEE signal processing magazine 30, 3 (2013), 83--98."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/218380.218473"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3048626"},{"key":"e_1_3_2_2_36_1","volume-title":"Proceedings of the 28th International Joint Conference on Artificial Intelligence. 3778--3784","author":"Liu Xinwang","year":"2019","unstructured":"SiweiWang, Xinwang Liu , En Zhu , Chang Tang , Jiyuan Liu , Jingtao Hu , Jingyuan Xia , and Jianping Yin . 2019 . Multi-view Clustering via Late Fusion Alignment Maximization . In Proceedings of the 28th International Joint Conference on Artificial Intelligence. 3778--3784 . SiweiWang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, and Jianping Yin. 2019. Multi-view Clustering via Late Fusion Alignment Maximization. In Proceedings of the 28th International Joint Conference on Artificial Intelligence. 3778--3784."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3131941"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-012-0584-1"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/2213836.2213894"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2825647"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2877335"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2751646"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.461"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.5555\/3367471.3367643"},{"key":"e_1_3_2_2_45_1","volume-title":"Proceedings of 32nd AAAI Conference on Artificial Intelligence. 4621--4628","author":"Zong Linlin","year":"2018","unstructured":"Linlin Zong , Xianchao Zhang , Xinyue Liu , and Hong Yu . 2018 . Weighted multiview spectral clustering based on spectral perturbation . In Proceedings of 32nd AAAI Conference on Artificial Intelligence. 4621--4628 . Linlin Zong, Xianchao Zhang, Xinyue Liu, and Hong Yu. 2018. Weighted multiview spectral clustering based on spectral perturbation. In Proceedings of 32nd AAAI Conference on Artificial Intelligence. 4621--4628."}],"event":{"name":"MM '22: The 30th ACM International Conference on Multimedia","location":"Lisboa Portugal","acronym":"MM '22","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 30th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3548248","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503161.3548248","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:00:21Z","timestamp":1750186821000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3548248"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,10]]},"references-count":45,"alternative-id":["10.1145\/3503161.3548248","10.1145\/3503161"],"URL":"https:\/\/doi.org\/10.1145\/3503161.3548248","relation":{},"subject":[],"published":{"date-parts":[[2022,10,10]]},"assertion":[{"value":"2022-10-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}