{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T09:08:51Z","timestamp":1777972131574,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":51,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T00:00:00Z","timestamp":1656288000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National","award":["62072166"],"award-info":[{"award-number":["62072166"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,6,27]]},"DOI":"10.1145\/3512527.3531417","type":"proceedings-article","created":{"date-parts":[[2022,6,23]],"date-time":"2022-06-23T22:23:32Z","timestamp":1656023012000},"page":"631-638","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":21,"title":["MSSPQ: Multiple Semantic Structure-Preserving Quantization for Cross-Modal Retrieval"],"prefix":"10.1145","author":[{"given":"Lei","family":"Zhu","sequence":"first","affiliation":[{"name":"Hunan Agricultural University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liewu","family":"Cai","sequence":"additional","affiliation":[{"name":"Hunan Agricultural University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiayu","family":"Song","sequence":"additional","affiliation":[{"name":"Central South University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinghui","family":"Zhu","sequence":"additional","affiliation":[{"name":"Hunan Agricultural University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengyuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Hunan University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shichao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Central South University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,6,27]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Latent dirichlet allocation. the Journal of machine Learning research 3","author":"Blei David M","year":"2003","unstructured":"David M Blei , Andrew Y Ng , and Michael I Jordan . 2003. Latent dirichlet allocation. the Journal of machine Learning research 3 ( 2003 ), 993--1022. David M Blei, Andrew Y Ng, and Michael I Jordan. 2003. Latent dirichlet allocation. the Journal of machine Learning research 3 (2003), 993--1022."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_13"},{"key":"e_1_3_2_1_3_1","volume-title":"Correlation hashing network for efficient cross-modal retrieval. arXiv preprint arXiv:1602.06697","author":"Cao Yue","year":"2016","unstructured":"Yue Cao , Mingsheng Long , Jianmin Wang , and Philip S Yu. 2016. Correlation hashing network for efficient cross-modal retrieval. arXiv preprint arXiv:1602.06697 ( 2016 ). Yue Cao, Mingsheng Long, Jianmin Wang, and Philip S Yu. 2016. Correlation hashing network for efficient cross-modal retrieval. arXiv preprint arXiv:1602.06697 (2016)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2021.103589"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2821921"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2020.3012675"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0658-4"},{"key":"e_1_3_2_1_8_1","volume-title":"Canonical Correlation Analysis (CCA) Based Multi-View Learning: An Overview. CoRR abs\/1907.01693","author":"Guo Chenfeng","year":"2019","unstructured":"Chenfeng Guo and Dongrui Wu. 2019. Canonical Correlation Analysis (CCA) Based Multi-View Learning: An Overview. CoRR abs\/1907.01693 ( 2019 ). arXiv:1907.01693 http:\/\/arxiv.org\/abs\/1907.01693 Chenfeng Guo and Dongrui Wu. 2019. Canonical Correlation Analysis (CCA) Based Multi-View Learning: An Overview. CoRR abs\/1907.01693 (2019). arXiv:1907.01693 http:\/\/arxiv.org\/abs\/1907.01693"},{"key":"e_1_3_2_1_9_1","volume-title":"Canonical correlation analysis: An overview with application to learning methods. Neural computation 16, 12","author":"Hardoon David R","year":"2004","unstructured":"David R Hardoon , Sandor Szedmak , and John Shawe-Taylor . 2004. Canonical correlation analysis: An overview with application to learning methods. Neural computation 16, 12 ( 2004 ), 2639--2664. David R Hardoon, Sandor Szedmak, and John Shawe-Taylor. 2004. Canonical correlation analysis: An overview with application to learning methods. Neural computation 16, 12 (2004), 2639--2664."},{"key":"e_1_3_2_1_10_1","volume-title":"Deep Residual Learning for Image Recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016","author":"He Kaiming","year":"2016","unstructured":"Kaiming He , Xiangyu Zhang , Shaoqing Ren , and Jian Sun . 2016 . Deep Residual Learning for Image Recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 , Las Vegas, NV, USA, June 27--30 , 2016. IEEE Computer Society, 770--778. Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016. Deep Residual Learning for Image Recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, June 27--30, 2016. IEEE Computer Society, 770--778."},{"key":"e_1_3_2_1_11_1","volume-title":"Multimodal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing","author":"Hoang Tuan","year":"2022","unstructured":"Tuan Hoang , Thanh-Toan Do , Tam V Nguyen , and Ngai-Man Cheung . 2022. Multimodal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing . IEEE Transactions on Neural Networks and Learning Systems ( 2022 ). Tuan Hoang, Thanh-Toan Do, Tam V Nguyen, and Ngai-Man Cheung. 2022. Multimodal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing. IEEE Transactions on Neural Networks and Learning Systems (2022)."},{"key":"e_1_3_2_1_12_1","volume-title":"Online learning for latent dirichlet allocation. advances in neural information processing systems 23","author":"Hoffman Matthew","year":"2010","unstructured":"Matthew Hoffman , Francis Bach , and David Blei . 2010. Online learning for latent dirichlet allocation. advances in neural information processing systems 23 ( 2010 ), 856--864. Matthew Hoffman, Francis Bach, and David Blei. 2010. Online learning for latent dirichlet allocation. advances in neural information processing systems 23 (2010), 856--864."},{"key":"e_1_3_2_1_13_1","volume-title":"SMAN: Stacked multimodal attention network for cross-modal image-text retrieval","author":"Ji Zhong","year":"2020","unstructured":"Zhong Ji , Haoran Wang , Jungong Han , and Yanwei Pang . 2020 . SMAN: Stacked multimodal attention network for cross-modal image-text retrieval . IEEE transactions on cybernetics (2020). Zhong Ji, Haoran Wang, Jungong Han, and Yanwei Pang. 2020. SMAN: Stacked multimodal attention network for cross-modal image-text retrieval. IEEE transactions on cybernetics (2020)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.348"},{"key":"e_1_3_2_1_15_1","volume-title":"Deep semantic-preserving ordinal hashing for cross-modal similarity search","author":"Jin Lu","year":"2018","unstructured":"Lu Jin , Kai Li , Zechao Li , Fu Xiao , Guo-Jun Qi , and Jinhui Tang . 2018. Deep semantic-preserving ordinal hashing for cross-modal similarity search . IEEE transactions on neural networks and learning systems 30, 5 ( 2018 ), 1429--1440. Lu Jin, Kai Li, Zechao Li, Fu Xiao, Guo-Jun Qi, and Jinhui Tang. 2018. Deep semantic-preserving ordinal hashing for cross-modal similarity search. IEEE transactions on neural networks and learning systems 30, 5 (2018), 1429--1440."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.2984081"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299011"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.2969792"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2021.3068387"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2742704"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3076275"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1873987"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.03.015"},{"key":"e_1_3_2_1_24_1","volume-title":"Semi- Supervised Graph Convolutional Hashing Network For Large-Scale Cross-Modal Retrieval. In 2020 IEEE International Conference on Image Processing (ICIP). IEEE, 2366--2370","author":"Shen Zhanjian","year":"2020","unstructured":"Zhanjian Shen , Deming Zhai , Xianming Liu , and Junjun Jiang . 2020 . Semi- Supervised Graph Convolutional Hashing Network For Large-Scale Cross-Modal Retrieval. In 2020 IEEE International Conference on Image Processing (ICIP). IEEE, 2366--2370 . Zhanjian Shen, Deming Zhai, Xianming Liu, and Junjun Jiang. 2020. Semi- Supervised Graph Convolutional Hashing Network For Large-Scale Cross-Modal Retrieval. In 2020 IEEE International Conference on Image Processing (ICIP). IEEE, 2366--2370."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123326"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3140656"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093614"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3011288"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3418211"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2457339"},{"key":"e_1_3_2_1_31_1","volume-title":"BATCH: A scalable asymmetric discrete cross-modal hashing","author":"Wang Yongxin","year":"2020","unstructured":"Yongxin Wang , Xin Luo , Liqiang Nie , Jingkuan Song , Wei Zhang , and Xin-Shun Xu . 2020 . BATCH: A scalable asymmetric discrete cross-modal hashing . IEEE Transactions on Knowledge and Data Engineering ( 2020). Yongxin Wang, Xin Luo, Liqiang Nie, Jingkuan Song, Wei Zhang, and Xin-Shun Xu. 2020. BATCH: A scalable asymmetric discrete cross-modal hashing. IEEE Transactions on Knowledge and Data Engineering (2020)."},{"key":"e_1_3_2_1_32_1","volume-title":"Progressive Learning with Multi-scale Attention Network for Cross-domain Vehicle Re- identification. SCIENCE CHINA Information Sciences","author":"Wang Yang","year":"2022","unstructured":"Yang Wang , Jinjia Peng , Huibing Wang , and Meng Wang . 2022. Progressive Learning with Multi-scale Attention Network for Cross-domain Vehicle Re- identification. SCIENCE CHINA Information Sciences ( 2022 ). Yang Wang, Jinjia Peng, Huibing Wang, and Meng Wang. 2022. Progressive Learning with Multi-scale Attention Network for Cross-domain Vehicle Re- identification. SCIENCE CHINA Information Sciences (2022)."},{"key":"e_1_3_2_1_33_1","volume-title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016","author":"Wang Yang","year":"2016","unstructured":"Yang Wang , Wenjie Zhang , Lin Wu , Xuemin Lin , Meng Fang , and Shirui Pan . 2016 . Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering . In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016 , New York, NY, USA, 9- -15 July 2016, Subbarao Kambhampati (Ed.). IJCAI\/AAAI Press, 2153--2159. Yang Wang, Wenjie Zhang, Lin Wu, Xuemin Lin, Meng Fang, and Shirui Pan. 2016. Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9--15 July 2016, Subbarao Kambhampati (Ed.). IJCAI\/AAAI Press, 2153--2159."},{"key":"e_1_3_2_1_34_1","volume-title":"Cross-modal retrieval with CNN visual features: A new baseline","author":"Wei Yunchao","year":"2016","unstructured":"Yunchao Wei , Yao Zhao , Canyi Lu , Shikui Wei , Luoqi Liu , Zhenfeng Zhu , and Shuicheng Yan . 2016. Cross-modal retrieval with CNN visual features: A new baseline . IEEE transactions on cybernetics 47, 2 ( 2016 ), 449--460. Yunchao Wei, Yao Zhao, Canyi Lu, Shikui Wei, Luoqi Liu, Zhenfeng Zhu, and Shuicheng Yan. 2016. Cross-modal retrieval with CNN visual features: A new baseline. IEEE transactions on cybernetics 47, 2 (2016), 449--460."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2878970"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2963957"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10719"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2958342"},{"key":"e_1_3_2_1_39_1","volume-title":"Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012)","author":"Yu Jing","year":"2012","unstructured":"Jing Yu , Yonghui Cong , Zengchang Qin , and Tao Wan . 2012 . Cross-modal topic correlations for multimedia retrieval . In Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012) . IEEE, 246--249. Jing Yu, Yonghui Cong, Zengchang Qin, and Tao Wan. 2012. Cross-modal topic correlations for multimedia retrieval. In Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012). IEEE, 246--249."},{"key":"e_1_3_2_1_40_1","volume-title":"HCMSL: Hybrid Cross-Modal Similarity Learning for Cross-Modal Retrieval.","author":"CHENGYUAN ZHANG, JIAYU SONG, XIAOFENG ZHU, LEI","year":"2018","unstructured":"CHENGYUAN ZHANG, JIAYU SONG, XIAOFENG ZHU, LEI ZHU, and SHICHAO ZHANG. 2018 . HCMSL: Hybrid Cross-Modal Similarity Learning for Cross-Modal Retrieval. (2018). CHENGYUAN ZHANG, JIAYU SONG, XIAOFENG ZHU, LEI ZHU, and SHICHAO ZHANG. 2018. HCMSL: Hybrid Cross-Modal Similarity Learning for Cross-Modal Retrieval. (2018)."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3466641","article-title":"Multi-graph heterogeneous interaction fusion for social recommendation","volume":"40","author":"Zhang Chengyuan","year":"2021","unstructured":"Chengyuan Zhang , Yang Wang , Lei Zhu , Jiayu Song , and Hongzhi Yin . 2021 . Multi-graph heterogeneous interaction fusion for social recommendation . ACM Transactions on Information Systems (TOIS) 40 , 2 (2021), 1 -- 26 . Chengyuan Zhang, Yang Wang, Lei Zhu, Jiayu Song, and Hongzhi Yin. 2021. Multi-graph heterogeneous interaction fusion for social recommendation. ACM Transactions on Information Systems (TOIS) 40, 2 (2021), 1--26.","journal-title":"ACM Transactions on Information Systems (TOIS)"},{"key":"e_1_3_2_1_42_1","volume-title":"PPIS-JOIN: A Novel Privacy-Preserving Image Similarity Join Method. Neural Processing Letters","author":"Zhang Chengyuan","year":"2021","unstructured":"Chengyuan Zhang , Fangxin Xie , Hao Yu , Jianfeng Zhang , Lei Zhu , and Yangding Li. 2021. PPIS-JOIN: A Novel Privacy-Preserving Image Similarity Join Method. Neural Processing Letters ( 2021 ), 1--19. Chengyuan Zhang, Fangxin Xie, Hao Yu, Jianfeng Zhang, Lei Zhu, and Yangding Li. 2021. PPIS-JOIN: A Novel Privacy-Preserving Image Similarity Join Method. Neural Processing Letters (2021), 1--19."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8995"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00359"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17307"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3144352"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.05.018"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01174"},{"key":"e_1_3_2_1_49_1","volume-title":"CAESAR: concept augmentation based semantic representation for cross-modal retrieval. Multimedia Tools and Applications","author":"Zhu Lei","year":"2020","unstructured":"Lei Zhu , Jiayu Song , Xiangxiang Wei , Hao Yu , and Jun Long . 2020. CAESAR: concept augmentation based semantic representation for cross-modal retrieval. Multimedia Tools and Applications ( 2020 ), 1--31. Lei Zhu, Jiayu Song, Xiangxiang Wei, Hao Yu, and Jun Long. 2020. CAESAR: concept augmentation based semantic representation for cross-modal retrieval. Multimedia Tools and Applications (2020), 1--31."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2020.3015764"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2022.3144138"}],"event":{"name":"ICMR '22: International Conference on Multimedia Retrieval","location":"Newark NJ USA","acronym":"ICMR '22","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 2022 International Conference on Multimedia Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3512527.3531417","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3512527.3531417","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:13Z","timestamp":1750188613000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3512527.3531417"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,27]]},"references-count":51,"alternative-id":["10.1145\/3512527.3531417","10.1145\/3512527"],"URL":"https:\/\/doi.org\/10.1145\/3512527.3531417","relation":{},"subject":[],"published":{"date-parts":[[2022,6,27]]},"assertion":[{"value":"2022-06-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}