{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:41:23Z","timestamp":1755823283589,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":49,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T00:00:00Z","timestamp":1698278400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the High-level Talent Program","award":["2022RG11"],"award-info":[{"award-number":["2022RG11"]}]},{"name":"the Science and Technology Project of Liaoning Province","award":["2021JH2\/10300064"],"award-info":[{"award-number":["2021JH2\/10300064"]}]},{"name":"the Youth Science and Technology Star Support Program of Dalian City","award":["2021RQ057"],"award-info":[{"award-number":["2021RQ057"]}]},{"name":"the Fundamental Research Funds for the Central Universities","award":["DUT22YG241"],"award-info":[{"award-number":["DUT22YG241"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,26]]},"DOI":"10.1145\/3581783.3613833","type":"proceedings-article","created":{"date-parts":[[2023,10,27]],"date-time":"2023-10-27T07:27:12Z","timestamp":1698391632000},"page":"3609-3618","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["MVCIR-net: Multi-view Clustering Information Reinforcement Network"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-7765-1449","authenticated-orcid":false,"given":"Shaokui","family":"Gu","sequence":"first","affiliation":[{"name":"Dalian University of Technology, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4912-4093","authenticated-orcid":false,"given":"Xu","family":"Yuan","sequence":"additional","affiliation":[{"name":"Dalian University of Technology, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6706-2271","authenticated-orcid":false,"given":"Liang","family":"Zhao","sequence":"additional","affiliation":[{"name":"Dalian University of Technology, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-1942-0036","authenticated-orcid":false,"given":"Zhenjiao","family":"Liu","sequence":"additional","affiliation":[{"name":"Dalian University of Technology, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1145-5276","authenticated-orcid":false,"given":"Yan","family":"Hu","sequence":"additional","affiliation":[{"name":"Dalian University of Technology, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9209-2189","authenticated-orcid":false,"given":"Zhikui","family":"Chen","sequence":"additional","affiliation":[{"name":"Dalian University of Technology, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,10,27]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"Arthur Asuncion and David Newman. 2007. UCI machine learning repository."},{"key":"e_1_3_2_2_2_1","first-page":"139","article-title":"Deep Clustering for Unsupervised Learning of Visual Features","volume":"2019","author":"Caron Mathilde","year":"2018","unstructured":"Mathilde Caron, Piotr Bojanowski, Armand Joulin, and Matthijs Douze. 2018. Deep Clustering for Unsupervised Learning of Visual Features. In Computer Vision - ECCV 2019. 139--156.","journal-title":"Computer Vision - ECCV"},{"key":"e_1_3_2_2_3_1","volume-title":"Multi-View Clustering in Latent Embedding Space. In The Thirty-Fourth AAAI Conference on Artificial Intelligence. 3513--3520","author":"Chen Mansheng","year":"2020","unstructured":"Mansheng Chen, Ling Huang, Chang-Dong Wang, and Dong Huang. 2020a. Multi-View Clustering in Latent Embedding Space. In The Thirty-Fourth AAAI Conference on Artificial Intelligence. 3513--3520."},{"key":"e_1_3_2_2_4_1","volume-title":"Proceedings of the 37th International Conference on Machine Learning (Proceedings of Machine Learning Research","volume":"1607","author":"Chen Ting","year":"2020","unstructured":"Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020b. A Simple Framework for Contrastive Learning of Visual Representations. In Proceedings of the 37th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 119). 1597--1607."},{"key":"e_1_3_2_2_5_1","unstructured":"Timothy Dozat. 2016. Incorporating nesterov momentum into adam. (2016)."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2005.09.012"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58607-2_16"},{"key":"e_1_3_2_2_8_1","volume-title":"Uncertainty-Aware Multi-View Representation Learning. In Thirty-Fifth AAAI Conference on Artificial Intelligence. 7545--7553","author":"Geng Yu","year":"2021","unstructured":"Yu Geng, Zongbo Han, Changqing Zhang, and Qinghua Hu. 2021. Uncertainty-Aware Multi-View Representation Learning. In Thirty-Fifth AAAI Conference on Artificial Intelligence. 7545--7553."},{"key":"e_1_3_2_2_9_1","volume-title":"Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, AISTATS (JMLR Proceedings","volume":"323","author":"Glorot Xavier","year":"2011","unstructured":"Xavier Glorot, Antoine Bordes, and Yoshua Bengio. 2011. Deep Sparse Rectifier Neural Networks. In Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, AISTATS (JMLR Proceedings, Vol. 15), Geoffrey J. Gordon, David B. Dunson, and Miroslav Dud\u00edk (Eds.). 315--323."},{"key":"e_1_3_2_2_10_1","volume-title":"Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification. In 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 20675--20685","author":"Han Zongbo","year":"2022","unstructured":"Zongbo Han, Fan Yang, Junzhou Huang, Changqing Zhang, and Jianhua Yao. 2022. Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification. In 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 20675--20685."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3096086"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548248"},{"key":"e_1_3_2_2_13_1","volume-title":"Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering. In 2019 IEEE\/CVF International Conference on Computer Vision (ICCV). 8171--8179","author":"Li Ruihuang","year":"2019","unstructured":"Ruihuang Li, Changqing Zhang, Huazhu Fu, Xi Peng, Joey Tianyi Zhou, and Qinghua Hu. 2019b. Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering. In 2019 IEEE\/CVF International Conference on Computer Vision (ICCV). 8171--8179."},{"key":"e_1_3_2_2_14_1","volume-title":"Contrastive Clustering. In Thirty-Fifth AAAI Conference on Artificial Intelligence. 8547--8555","author":"Li Yunfan","year":"2021","unstructured":"Yunfan Li, Peng Hu, Jerry Zitao Liu, Dezhong Peng, Joey Tianyi Zhou, and Xi Peng. 2021. Contrastive Clustering. In Thirty-Fifth AAAI Conference on Artificial Intelligence. 8547--8555."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3081930"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/409"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/451"},{"key":"e_1_3_2_2_18_1","volume-title":"Hierarchical Multiple Kernel Clustering. In Thirty-Fifth AAAI Conference on Artificial Intelligence. 8671--8679","author":"Liu Jiyuan","year":"2021","unstructured":"Jiyuan Liu, Xinwang Liu, Siwei Wang, Sihang Zhou, and Yuexiang Yang. 2021a. Hierarchical Multiple Kernel Clustering. In Thirty-Fifth AAAI Conference on Artificial Intelligence. 8671--8679."},{"key":"e_1_3_2_2_19_1","volume-title":"Localized Simple Multiple Kernel K-means. In 2021 IEEE\/CVF International Conference on Computer Vision (ICCV). 9273--9281","author":"Liu Xinwang","year":"2021","unstructured":"Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, and Yi Zhang. 2021b. Localized Simple Multiple Kernel K-means. In 2021 IEEE\/CVF International Conference on Computer Vision (ICCV). 9273--9281."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1982.1056489"},{"key":"e_1_3_2_2_21_1","volume-title":"Proceedings of the 36th International Conference on Machine Learning (Proceedings of Machine Learning Research","volume":"5101","author":"Peng Xi","year":"2019","unstructured":"Xi Peng, Zhenyu Huang, Jiancheng Lv, Hongyuan Zhu, and Joey Tianyi Zhou. 2019. COMIC: Multi-view Clustering Without Parameter Selection. In Proceedings of the 36th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 97). 5092--5101."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3171421"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.868688"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/16.1.30"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00030"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00131"},{"key":"e_1_3_2_2_27_1","volume-title":"Mach. Learn. Res.","volume":"11","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. J. Mach. Learn. Res., Vol. 11 (dec 2010), 3371??408."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"crossref","unstructured":"Xinhang Wan Jiyuan Liu Weixuan Liang Xinwang Liu Yi Wen and En Zhu. 2022. Continual Multi-View Clustering. 3676--3684.","DOI":"10.1145\/3503161.3547864"},{"key":"e_1_3_2_2_29_1","unstructured":"Xinhang Wan Xinwang Liu Jiyuan Liu Siwei Wang Yi Wen Weixuan Liang En Zhu Zhe Liu and Lu Zhou. 2023. Auto-weighted Multi-view Clustering for Large-scale Data. arxiv: 2303.01983 [cs.LG]"},{"key":"e_1_3_2_2_30_1","volume-title":"Multi-View Information-Bottleneck Representation Learning. In Thirty-Fifth AAAI Conference on Artificial Intelligence. 10085--10092","author":"Wan Zhibin","year":"2021","unstructured":"Zhibin Wan, Changqing Zhang, Pengfei Zhu, and Qinghua Hu. 2021. Multi-View Information-Bottleneck Representation Learning. In Thirty-Fifth AAAI Conference on Artificial Intelligence. 10085--10092."},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403284"},{"key":"e_1_3_2_2_32_1","first-page":"5882","article-title":"Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences","volume":"35","author":"Wang Siwei","year":"2022","unstructured":"Siwei Wang, Xinwang Liu, Suyuan Liu, Jiaqi Jin, Wenxuan Tu, Xinzhong Zhu, and En Zhu. 2022. Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences. In Advances in Neural Information Processing Systems, Vol. 35. 5882--5895.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/524"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/447"},{"key":"e_1_3_2_2_35_1","volume-title":"Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring. In Thirty-Fifth AAAI Conference on Artificial Intelligence. 10273--10281","author":"Wen Jie","year":"2021","unstructured":"Jie Wen, Zheng Zhang, Zhao Zhang, Lei Zhu, Lunke Fei, Bob Zhang, and Yong Xu. 2021. Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring. In Thirty-Fifth AAAI Conference on Artificial Intelligence. 10273--10281."},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3240863"},{"key":"e_1_3_2_2_37_1","unstructured":"Han Xiao Kashif Rasul and Roland Vollgraf. 2017. Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms. (2017). showeprint[arXiv]1708.07747"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20856"},{"key":"e_1_3_2_2_39_1","volume-title":"Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering. In 2021 IEEE\/CVF International Conference on Computer Vision (ICCV). 9214--9223","author":"Xu Jie","year":"2021","unstructured":"Jie Xu, Yazhou Ren, Huayi Tang, Xiaorong Pu, Xiaofeng Zhu, Ming Zeng, and Lifang He. 2021. Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering. In 2021 IEEE\/CVF International Conference on Computer Vision (ICCV). 9214--9223."},{"key":"e_1_3_2_2_40_1","volume-title":"Multi-level Feature Learning for Contrastive Multi-view Clustering. In 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16030--16039","author":"Xu Jie","year":"2022","unstructured":"Jie Xu, Huayi Tang, Yazhou Ren, Liang Peng, Xiaofeng Zhu, and Lifang He. 2022b. Multi-level Feature Learning for Contrastive Multi-view Clustering. In 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16030--16039."},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547894"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548144"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3475956"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3202158"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548124"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.11.038"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404893"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10867"},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01463"}],"event":{"name":"MM '23: The 31st ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Ottawa ON Canada","acronym":"MM '23"},"container-title":["Proceedings of the 31st ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3581783.3613833","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3581783.3613833","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:01:33Z","timestamp":1755820893000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3581783.3613833"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,26]]},"references-count":49,"alternative-id":["10.1145\/3581783.3613833","10.1145\/3581783"],"URL":"https:\/\/doi.org\/10.1145\/3581783.3613833","relation":{},"subject":[],"published":{"date-parts":[[2023,10,26]]},"assertion":[{"value":"2023-10-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}