{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T11:14:22Z","timestamp":1780053262371,"version":"3.54.0"},"publisher-location":"New York, NY, USA","reference-count":41,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T00:00:00Z","timestamp":1602460800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"University of Macau","award":["MYRG2019-00006-FST"],"award-info":[{"award-number":["MYRG2019-00006-FST"]}]},{"name":"Establishment of Key Laboratory of Shenzhen Science and Technology Innovation Committee","award":["ZDSYS20190902093015527"],"award-info":[{"award-number":["ZDSYS20190902093015527"]}]},{"name":"Guangdong Basic and Applied Basic Research Foundation","award":["2019A1515-110582,2019A1515110475"],"award-info":[{"award-number":["2019A1515-110582,2019A1515110475"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,12]]},"DOI":"10.1145\/3394171.3413807","type":"proceedings-article","created":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T12:26:25Z","timestamp":1602505585000},"page":"3753-3761","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":97,"title":["DIMC-net: Deep Incomplete Multi-view Clustering Network"],"prefix":"10.1145","author":[{"given":"Jie","family":"Wen","sequence":"first","affiliation":[{"name":"University of Macau, Taipa, Macao"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology & Peng Cheng Laboratory, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Hefei University of Technology, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhihao","family":"Wu","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lunke","family":"Fei","sequence":"additional","affiliation":[{"name":"University of Macau, Taipa, Macao"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Xu","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology & Peng Cheng Laboratory, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bob","family":"Zhang","sequence":"additional","affiliation":[{"name":"Univerisity of Macau, Taipa, Macao"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,10,12]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"Arthur Asuncion and David Newman. 2007. UCI machine learning repository [http:\/\/archive.ics.uci.edu\/ml].  Arthur Asuncion and David Newman. 2007. UCI machine learning repository [http:\/\/archive.ics.uci.edu\/ml]."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bts220"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.383"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/243"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/313"},{"key":"e_1_3_2_2_6_1","volume-title":"One-Pass Incomplete Multiview Clustering. In AAAI Conference on Artificial Intelligence. AAAI Press, 3838--3845","author":"Hu Menglei","year":"2019","unstructured":"Menglei Hu and Songcan Chen . 2019 . One-Pass Incomplete Multiview Clustering. In AAAI Conference on Artificial Intelligence. AAAI Press, 3838--3845 . Menglei Hu and Songcan Chen. 2019. One-Pass Incomplete Multiview Clustering. In AAAI Conference on Artificial Intelligence. AAAI Press, 3838--3845."},{"key":"e_1_3_2_2_7_1","unstructured":"Yann LeCun. 1998. The MNIST database of handwritten digits. http:\/\/yann. lecun. com\/exdb\/mnist\/ (1998).  Yann LeCun. 1998. The MNIST database of handwritten digits. http:\/\/yann. lecun. com\/exdb\/mnist\/ (1998)."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2976190"},{"key":"e_1_3_2_2_9_1","volume-title":"AAAI Conference on Artificial Intelligence. AAAI Press, 3498--3505","author":"Li Jinxing","year":"2018","unstructured":"Jinxing Li , Hongwei Yong , Bob Zhang , Mu Li , Lei Zhang , and David Zhang . 2018 . A probabilistic hierarchical model for multiview and multi-feature classification . In AAAI Conference on Artificial Intelligence. AAAI Press, 3498--3505 . Jinxing Li, Hongwei Yong, Bob Zhang, Mu Li, Lei Zhang, and David Zhang. 2018. A probabilistic hierarchical model for multiview and multi-feature classification. In AAAI Conference on Artificial Intelligence. AAAI Press, 3498--3505."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2761401"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.09.031"},{"key":"e_1_3_2_2_12_1","volume-title":"AAAI Conference on Artificial Intelligence. AAAI Press","author":"Li Shao-Yuan","year":"2014","unstructured":"Shao-Yuan Li , Yuan Jiang , and Zhi-Hua Zhou . 2014 . Partial multiview clustering . In AAAI Conference on Artificial Intelligence. AAAI Press , 1968--1974. Shao-Yuan Li, Yuan Jiang, and Zhi-Hua Zhou. 2014. Partial multiview clustering. In AAAI Conference on Artificial Intelligence. AAAI Press, 1968--1974."},{"key":"e_1_3_2_2_13_1","volume-title":"AAAI Conference on Artificial Intelligence. AAAI Press, 2750--2756","author":"Li Yeqing","year":"2015","unstructured":"Yeqing Li , Feiping Nie , Heng Huang , and Junzhou Huang . 2015 . Large-scale multi-view spectral clustering via bipartite graph . In AAAI Conference on Artificial Intelligence. AAAI Press, 2750--2756 . Yeqing Li, Feiping Nie, Heng Huang, and Junzhou Huang. 2015. Large-scale multi-view spectral clustering via bipartite graph. In AAAI Conference on Artificial Intelligence. AAAI Press, 2750--2756."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2537337"},{"key":"e_1_3_2_2_15_1","volume-title":"AAAI Conference on Artificial Intelligence. AAAI Press, 2259--2265","author":"Liu Xinwang","year":"2017","unstructured":"Xinwang Liu , Miaomiao Li , Lei Wang , Yong Dou , Jianping Yin , and En Zhu . 2017 . Multiple Kernel k-Means with Incomplete Kernels . In AAAI Conference on Artificial Intelligence. AAAI Press, 2259--2265 . Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin, and En Zhu. 2017. Multiple Kernel k-Means with Incomplete Kernels. In AAAI Conference on Artificial Intelligence. AAAI Press, 2259--2265."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014392"},{"key":"e_1_3_2_2_17_1","first-page":"1191","article-title":"Multiple kernel k-means with incomplete kernels","volume":"42","author":"Liu Xinwang","year":"2020","unstructured":"Xinwang Liu , Xinzhong Zhu , Miaomiao Li , Lei Wang , En Zhu , Tongliang Liu , Marius Kloft , Dinggang Shen , Jianping Yin , and Wen Gao . 2020 . Multiple kernel k-means with incomplete kernels . IEEE Transactions on Pattern Analysis and Machine Intelligence 42 , 5 (2020), 1191 -- 1204 . Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, En Zhu, Tongliang Liu, Marius Kloft, Dinggang Shen, Jianping Yin, and Wen Gao. 2020. Multiple kernel k-means with incomplete kernels. IEEE Transactions on Pattern Analysis and Machine Intelligence 42, 5 (2020), 1191--1204.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"e_1_3_2_2_18_1","first-page":"2579","article-title":"Visualizing data using t-SNE","author":"van der Maaten Laurens","year":"2008","unstructured":"Laurens van der Maaten and Geoffrey Hinton . 2008 . Visualizing data using t-SNE . Journal of Machine Learning Research 9 , Nov (2008), 2579 -- 2605 . Laurens van der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE. Journal of Machine Learning Research 9, Nov (2008), 2579--2605.","journal-title":"Journal of Machine Learning Research 9"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2016.7840701"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-23528-8_20"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2013.117"},{"key":"e_1_3_2_2_22_1","volume-title":"Annual Conference on Neural Information Processing Systems Workshop","volume":"224","author":"Trivedi Anusua","year":"2010","unstructured":"Anusua Trivedi , Piyush Rai , Hal Daum\u00b4e III, and Scott L DuVall . 2010 . Multiview clustering with incomplete views . In Annual Conference on Neural Information Processing Systems Workshop , Vol. 224 . 1--8. Anusua Trivedi, Piyush Rai, Hal Daum\u00b4e III, and Scott L DuVall. 2010. Multiview clustering with incomplete views. In Annual Conference on Neural Information Processing Systems Workshop, Vol. 224. 1--8."},{"key":"e_1_3_2_2_23_1","first-page":"3371","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","author":"Vincent Pascal","year":"2010","unstructured":"Pascal Vincent , Hugo Larochelle , Isabelle Lajoie , Yoshua Bengio , and Pierre-Antoine Manzagol . 2010 . Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion . Journal of Machine Learning Research 11 , Dec (2010), 3371 -- 3408 . Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio, and Pierre-Antoine Manzagol. 2010. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion. Journal of Machine Learning Research 11, Dec (2010), 3371--3408.","journal-title":"Journal of Machine Learning Research 11"},{"key":"e_1_3_2_2_24_1","volume-title":"Spectral Perturbation Meets Incomplete Multi-view Data. arXiv preprint arXiv:1906.00098","author":"Wang Hao","year":"2019","unstructured":"Hao Wang , Linlin Zong , Bing Liu , Yan Yang , and Wei Zhou . 2019. Spectral Perturbation Meets Incomplete Multi-view Data. arXiv preprint arXiv:1906.00098 ( 2019 ). Hao Wang, Linlin Zong, Bing Liu, Yan Yang, and Wei Zhou. 2019. Spectral Perturbation Meets Incomplete Multi-view Data. arXiv preprint arXiv:1906.00098 (2019)."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00174"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2884715"},{"key":"e_1_3_2_2_27_1","volume-title":"Adaptive Graph Completion Based Incomplete Multi-view Clustering","author":"Wen Jie","year":"2020","unstructured":"Jie Wen , Ke Yan , Zheng Zhang , Yong Xu , Junqian Wang , Lunke Fei , and Zhang Bob . 2020. Adaptive Graph Completion Based Incomplete Multi-view Clustering . IEEE Transactions on Multimedia ( 2020 ). https:\/\/doi.org\/10.1109\/TMM.2020.3013408 10.1109\/TMM.2020.3013408 Jie Wen, Ke Yan, Zheng Zhang, Yong Xu, Junqian Wang, Lunke Fei, and Zhang Bob. 2020. Adaptive Graph Completion Based Incomplete Multi-view Clustering. IEEE Transactions on Multimedia (2020). https:\/\/doi.org\/10.1109\/TMM.2020.3013408"},{"key":"e_1_3_2_2_28_1","volume-title":"CDIMC-net: Cognitive Deep Incomplete Multiview Clustering Network. In International Joint Conference on Artificial Intelligence. AAAI Press, 3230--3236","author":"Wen Jie","year":"2020","unstructured":"Jie Wen , Zheng Zhang , Yong Xu , Bob Zhang , Lunke Fei , and Guo-Sen Xie . 2020 . CDIMC-net: Cognitive Deep Incomplete Multiview Clustering Network. In International Joint Conference on Artificial Intelligence. AAAI Press, 3230--3236 . Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, and Guo-Sen Xie. 2020. CDIMC-net: Cognitive Deep Incomplete Multiview Clustering Network. In International Joint Conference on Artificial Intelligence. AAAI Press, 3230--3236."},{"key":"e_1_3_2_2_29_1","volume-title":"European Conference on Computer Vision Workshops. Springer, 593--608","author":"Wen Jie","year":"2018","unstructured":"Jie Wen , Zheng Zhang , Yong Xu , and Zuofeng Zhong . 2018 . Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization . In European Conference on Computer Vision Workshops. Springer, 593--608 . Jie Wen, Zheng Zhang, Yong Xu, and Zuofeng Zhong. 2018. Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization. In European Conference on Computer Vision Workshops. Springer, 593--608."},{"key":"e_1_3_2_2_30_1","volume-title":"Generalized Incomplete Multiview Clustering With Flexible Locality Structure Diffusion","author":"Wen Jie","year":"2020","unstructured":"Jie Wen , Zheng Zhang , Zhao Zhang , Lunke Fei , and Meng Wang . 2020. Generalized Incomplete Multiview Clustering With Flexible Locality Structure Diffusion . IEEE Transactions on Cybernetics ( 2020 ). https:\/\/doi.org\/10.1109\/TCYB.2020.2987164 10.1109\/TCYB.2020.2987164 Jie Wen, Zheng Zhang, Zhao Zhang, Lunke Fei, and Meng Wang. 2020. Generalized Incomplete Multiview Clustering With Flexible Locality Structure Diffusion. IEEE Transactions on Cybernetics (2020). https:\/\/doi.org\/10.1109\/TCYB.2020.2987164"},{"key":"e_1_3_2_2_31_1","volume-title":"International Conference on Machine Learning. 478--487","author":"Xie Junyuan","year":"2016","unstructured":"Junyuan Xie , Ross Girshick , and Ali Farhadi . 2016 . Unsupervised deep embedding for clustering analysis . In International Conference on Machine Learning. 478--487 . Junyuan Xie, Ross Girshick, and Ali Farhadi. 2016. Unsupervised deep embedding for clustering analysis. In International Conference on Machine Learning. 478--487."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/546"},{"key":"e_1_3_2_2_33_1","volume-title":"Partial Multi-view Subspace Clustering. In ACM International Conference on Multimedia. ACM, 1794--1801","author":"Xu Nan","year":"2018","unstructured":"Nan Xu , Yanqing Guo , Xin Zheng , Qianyu Wang , and Xiangyang Luo . 2018 . Partial Multi-view Subspace Clustering. In ACM International Conference on Multimedia. ACM, 1794--1801 . Nan Xu, Yanqing Guo, Xin Zheng, Qianyu Wang, and Xiangyang Luo. 2018. Partial Multi-view Subspace Clustering. In ACM International Conference on Multimedia. ACM, 1794--1801."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2867286"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2941820"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.26599\/BDMA.2018.9020003"},{"key":"e_1_3_2_2_37_1","volume-title":"Consensus kernel-means clustering for incomplete multiview data. Computational Intelligence and Neuroscience 2017","author":"Ye Yongkai","year":"2017","unstructured":"Yongkai Ye , Xinwang Liu , Qiang Liu , and Jianping Yin . 2017. Consensus kernel-means clustering for incomplete multiview data. Computational Intelligence and Neuroscience 2017 ( 2017 ). Yongkai Ye, Xinwang Liu, Qiang Liu, and Jianping Yin. 2017. Consensus kernel-means clustering for incomplete multiview data. Computational Intelligence and Neuroscience 2017 (2017)."},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2847335"},{"key":"e_1_3_2_2_39_1","volume-title":"International Joint Conferences on Artificial Intelligence. AAAI Press, 2392--2398","author":"Zhao Handong","year":"2016","unstructured":"Handong Zhao , Hongfu Liu , and Yun Fu . 2016 . Incomplete multimodal visual data grouping . In International Joint Conferences on Artificial Intelligence. AAAI Press, 2392--2398 . Handong Zhao, Hongfu Liu, and Yun Fu. 2016. Incomplete multimodal visual data grouping. In International Joint Conferences on Artificial Intelligence. AAAI Press, 2392--2398."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.07.016"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-16148-4_41"}],"event":{"name":"MM '20: The 28th ACM International Conference on Multimedia","location":"Seattle WA USA","acronym":"MM '20","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 28th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394171.3413807","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394171.3413807","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:01:17Z","timestamp":1750197677000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394171.3413807"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,12]]},"references-count":41,"alternative-id":["10.1145\/3394171.3413807","10.1145\/3394171"],"URL":"https:\/\/doi.org\/10.1145\/3394171.3413807","relation":{},"subject":[],"published":{"date-parts":[[2020,10,12]]},"assertion":[{"value":"2020-10-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}