{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T22:07:20Z","timestamp":1780956440477,"version":"3.54.1"},"reference-count":49,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["JUSRP123032"],"award-info":[{"award-number":["JUSRP123032"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013804","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100013804","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62202204"],"award-info":[{"award-number":["62202204"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Pattern Recognition"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.patcog.2026.113727","type":"journal-article","created":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T15:38:47Z","timestamp":1776353927000},"page":"113727","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PC","title":["Supervised discrete cross-modal hashing with exploiting semantic correlations"],"prefix":"10.1016","volume":"179","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0716-0918","authenticated-orcid":false,"given":"Donglin","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhikai","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao-Jun","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Josef","family":"Kittler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.patcog.2026.113727_b1","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2025.111604","article-title":"Online asymmetric supervised discrete cross-modal hashing for streaming multimedia data","volume":"165","author":"Yang","year":"2025","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.113727_b2","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.109662","article-title":"Continuous cross-modal hashing","volume":"142","author":"Zheng","year":"2023","journal-title":"Pattern Recognit."},{"issue":"10","key":"10.1016\/j.patcog.2026.113727_b3","doi-asserted-by":"crossref","first-page":"3351","DOI":"10.1109\/TKDE.2020.2970050","article-title":"Exploiting subspace relation in semantic labels for cross-modal hashing","volume":"33","author":"Shen","year":"2020","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.patcog.2026.113727_b4","article-title":"RSPH: Robust self-paced hashing for cross-modal retrieval","author":"Zhang","year":"2025","journal-title":"Pattern Recognit."},{"issue":"10","key":"10.1016\/j.patcog.2026.113727_b5","doi-asserted-by":"crossref","first-page":"2466","DOI":"10.1109\/TPAMI.2018.2861000","article-title":"Label consistent matrix factorization hashing for large-scale cross-modal similarity search","volume":"41","author":"Wang","year":"2018","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"7","key":"10.1016\/j.patcog.2026.113727_b6","doi-asserted-by":"crossref","first-page":"3157","DOI":"10.1109\/TIP.2016.2564638","article-title":"Supervised matrix factorization hashing for cross-modal retrieval","volume":"25","author":"Tang","year":"2016","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.patcog.2026.113727_b7","article-title":"Multi-view clustering with incremental instances and views","author":"Zhang","year":"2025","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.patcog.2026.113727_b8","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2024.102831","article-title":"Multi-relational multi-view clustering and its applications in cancer subtype identification","volume":"117","author":"Zhang","year":"2025","journal-title":"Inf. Fusion"},{"issue":"3","key":"10.1016\/j.patcog.2026.113727_b9","first-page":"3877","article-title":"Unsupervised contrastive cross-modal hashing","volume":"45","author":"Hu","year":"2022","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.patcog.2026.113727_b10","series-title":"Chinese Conference on Pattern Recognition and Computer Vision","first-page":"524","article-title":"Discrete bidirectional matrix factorization hashing for zero-shot cross-media retrieval","author":"Zhang","year":"2021"},{"key":"10.1016\/j.patcog.2026.113727_b11","doi-asserted-by":"crossref","unstructured":"G. Ding, Y. Guo, J. Zhou, Collective matrix factorization hashing for multimodal data, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014, pp. 2075\u20132082.","DOI":"10.1109\/CVPR.2014.267"},{"issue":"10","key":"10.1016\/j.patcog.2026.113727_b12","doi-asserted-by":"crossref","first-page":"2703","DOI":"10.1109\/TCSVT.2017.2723302","article-title":"Robust and flexible discrete hashing for cross-modal similarity search","volume":"28","author":"Wang","year":"2017","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.patcog.2026.113727_b13","doi-asserted-by":"crossref","unstructured":"C. Li, C. Deng, N. Li, W. Liu, X. Gao, D. Tao, Self-supervised adversarial hashing networks for cross-modal retrieval, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 4242\u20134251.","DOI":"10.1109\/CVPR.2018.00446"},{"issue":"2","key":"10.1016\/j.patcog.2026.113727_b14","first-page":"1365","article-title":"DAH: Discrete asymmetric hashing for efficient cross-media retrieval","volume":"35","author":"Zhang","year":"2021","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.patcog.2026.113727_b15","doi-asserted-by":"crossref","unstructured":"Y. Sun, K. Liu, Y. Li, Z. Ren, J. Dai, D. Peng, Distribution consistency guided hashing for cross-modal retrieval, in: Proceedings of the 32nd ACM International Conference on Multimedia, 2024, pp. 5623\u20135632.","DOI":"10.1145\/3664647.3680633"},{"key":"10.1016\/j.patcog.2026.113727_b16","doi-asserted-by":"crossref","unstructured":"S. Su, Z. Zhong, C. Zhang, Deep joint-semantics reconstructing hashing for large-scale unsupervised cross-modal retrieval, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2019, pp. 3027\u20133035.","DOI":"10.1109\/ICCV.2019.00312"},{"key":"10.1016\/j.patcog.2026.113727_b17","doi-asserted-by":"crossref","unstructured":"J. Zhang, Y. Peng, M. Yuan, Unsupervised generative adversarial cross-modal hashing, in: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 32, 2018.","DOI":"10.1609\/aaai.v32i1.11263"},{"key":"10.1016\/j.patcog.2026.113727_b18","doi-asserted-by":"crossref","unstructured":"C. Li, C. Deng, L. Wang, D. Xie, X. Liu, Coupled cyclegan: Unsupervised hashing network for cross-modal retrieval, in: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 33, 2019, pp. 176\u2013183.","DOI":"10.1609\/aaai.v33i01.3301176"},{"issue":"6","key":"10.1016\/j.patcog.2026.113727_b19","doi-asserted-by":"crossref","first-page":"2770","DOI":"10.1109\/TIP.2018.2890144","article-title":"Collective reconstructive embeddings for cross-modal hashing","volume":"28","author":"Hu","year":"2018","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.patcog.2026.113727_b20","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2021.108343","article-title":"Robust and discrete matrix factorization hashing for cross-modal retrieval","volume":"122","author":"Zhang","year":"2022","journal-title":"Pattern Recognit."},{"issue":"11","key":"10.1016\/j.patcog.2026.113727_b21","doi-asserted-by":"crossref","first-page":"3507","DOI":"10.1109\/TKDE.2020.2974825","article-title":"BATCH: A scalable asymmetric discrete cross-modal hashing","volume":"33","author":"Wang","year":"2020","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.patcog.2026.113727_b22","doi-asserted-by":"crossref","first-page":"986","DOI":"10.1109\/TIP.2020.3038365","article-title":"Asymmetric supervised consistent and specific hashing for cross-modal retrieval","volume":"30","author":"Meng","year":"2020","journal-title":"IEEE Trans. Image Process."},{"issue":"12","key":"10.1016\/j.patcog.2026.113727_b23","doi-asserted-by":"crossref","first-page":"8822","DOI":"10.1109\/TCSVT.2022.3195874","article-title":"A high-dimensional sparse hashing framework for cross-modal retrieval","volume":"32","author":"Wang","year":"2022","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"7","key":"10.1016\/j.patcog.2026.113727_b24","doi-asserted-by":"crossref","first-page":"2262","DOI":"10.1109\/TCSVT.2019.2911359","article-title":"SCRATCH: A scalable discrete matrix factorization hashing framework for cross-modal retrieval","volume":"30","author":"Chen","year":"2019","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.patcog.2026.113727_b25","doi-asserted-by":"crossref","unstructured":"Z. Yang, J. Long, L. Zhu, W. Huang, Nonlinear robust discrete hashing for cross-modal retrieval, in: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020, pp. 1349\u20131358.","DOI":"10.1145\/3397271.3401152"},{"key":"10.1016\/j.patcog.2026.113727_b26","article-title":"Watch: two-stage discrete cross-media hashing","author":"Zhang","year":"2022","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.patcog.2026.113727_b27","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neucom.2021.12.073","article-title":"Label embedding semantic-guided hashing","volume":"477","author":"Long","year":"2022","journal-title":"Neurocomputing"},{"key":"10.1016\/j.patcog.2026.113727_b28","doi-asserted-by":"crossref","unstructured":"Q.-Y. Jiang, W.-J. Li, Deep cross-modal hashing, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017, pp. 3232\u20133240.","DOI":"10.1109\/CVPR.2017.348"},{"issue":"1","key":"10.1016\/j.patcog.2026.113727_b29","doi-asserted-by":"crossref","first-page":"576","DOI":"10.1109\/TCSVT.2023.3285266","article-title":"Deep semantic-aware proxy hashing for multi-label cross-modal retrieval","volume":"34","author":"Huo","year":"2023","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"1","key":"10.1016\/j.patcog.2026.113727_b30","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1109\/TCSVT.2020.2974877","article-title":"Deep multiscale fusion hashing for cross-modal retrieval","volume":"31","author":"Nie","year":"2020","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.patcog.2026.113727_b31","doi-asserted-by":"crossref","DOI":"10.1109\/TMM.2025.3535306","article-title":"Deep semantic tuplet-based hashing by hypergraph modeling for cross-modal retrieval","author":"Qin","year":"2025","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.patcog.2026.113727_b32","article-title":"Bi-direction label-guided semantic enhancement for cross-modal hashing","author":"Zhu","year":"2024","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"5","key":"10.1016\/j.patcog.2026.113727_b33","doi-asserted-by":"crossref","first-page":"2494","DOI":"10.1109\/TIP.2017.2676345","article-title":"Learning discriminative binary codes for large-scale cross-modal retrieval","volume":"26","author":"Xu","year":"2017","journal-title":"IEEE Trans. Image Process."},{"issue":"3","key":"10.1016\/j.patcog.2026.113727_b34","doi-asserted-by":"crossref","first-page":"1177","DOI":"10.1109\/TKDE.2020.2995195","article-title":"Enhanced discrete multi-modal hashing: More constraints yet less time to learn","volume":"34","author":"Chen","year":"2020","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.patcog.2026.113727_b35","doi-asserted-by":"crossref","unstructured":"C. Zhang, Y. Liu, Y. Liu, Q. Hu, X. Liu, P. Zhu, FISH-MML: Fisher-HSIC multi-view metric learning, in: IJCAI, 2018, pp. 3054\u20133060.","DOI":"10.24963\/ijcai.2018\/424"},{"key":"10.1016\/j.patcog.2026.113727_b36","doi-asserted-by":"crossref","unstructured":"T.-S. Chua, J. Tang, R. Hong, H. Li, Z. Luo, Y. Zheng, Nus-wide: a real-world web image database from national university of singapore, in: Proceedings of the ACM International Conference on Image and Video Retrieval, 2009, pp. 1\u20139.","DOI":"10.1145\/1646396.1646452"},{"issue":"4","key":"10.1016\/j.patcog.2026.113727_b37","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1016\/j.cviu.2009.03.008","article-title":"The segmented and annotated IAPR TC-12 benchmark","volume":"114","author":"Escalante","year":"2010","journal-title":"Comput. Vis. Image Underst."},{"key":"10.1016\/j.patcog.2026.113727_b38","doi-asserted-by":"crossref","unstructured":"M.J. Huiskes, M.S. Lew, The mir flickr retrieval evaluation, in: Proceedings of the 1st ACM International Conference on Multimedia Information Retrieval, 2008, pp. 39\u201343.","DOI":"10.1145\/1460096.1460104"},{"issue":"3","key":"10.1016\/j.patcog.2026.113727_b39","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3446774","article-title":"Label consistent flexible matrix factorization hashing for efficient cross-modal retrieval","volume":"17","author":"Zhang","year":"2021","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl. (TOMM)"},{"issue":"11","key":"10.1016\/j.patcog.2026.113727_b40","doi-asserted-by":"crossref","first-page":"6306","DOI":"10.1109\/TNNLS.2021.3076684","article-title":"FDDH: Fast discriminative discrete hashing for large-scale cross-modal retrieval","volume":"33","author":"Liu","year":"2021","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"2","key":"10.1016\/j.patcog.2026.113727_b41","first-page":"1185","article-title":"Adaptive label correlation based asymmetric discrete hashing for cross-modal retrieval","volume":"35","author":"Li","year":"2021","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.patcog.2026.113727_b42","article-title":"Hierarchical consensus hashing for cross-modal retrieval","author":"Sun","year":"2023","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.patcog.2026.113727_b43","article-title":"Label distribution guided hashing for cross-modal retrieval","author":"Lei","year":"2024","journal-title":"ACM Trans. Knowl. Discov. Data"},{"issue":"6","key":"10.1016\/j.patcog.2026.113727_b44","doi-asserted-by":"crossref","first-page":"3865","DOI":"10.1109\/TSMC.2024.3373612","article-title":"Efficient discriminative hashing for cross-modal retrieval","volume":"54","author":"Huang","year":"2024","journal-title":"IEEE Trans. Syst. Man Cybern.: Syst."},{"key":"10.1016\/j.patcog.2026.113727_b45","doi-asserted-by":"crossref","unstructured":"X. Zhang, H. Lai, J. Feng, Attention-aware deep adversarial hashing for cross-modal retrieval, in: Proceedings of the European Conference on Computer Vision, ECCV, 2018, pp. 591\u2013606.","DOI":"10.1007\/978-3-030-01267-0_36"},{"key":"10.1016\/j.patcog.2026.113727_b46","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1109\/TMM.2020.2984081","article-title":"Mask cross-modal hashing networks","volume":"23","author":"Lin","year":"2020","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.patcog.2026.113727_b47","doi-asserted-by":"crossref","unstructured":"R.-C. Tu, X.-L. Mao, W. Ji, W. Wei, H. Huang, Data-aware proxy hashing for cross-modal retrieval, in: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023, pp. 686\u2013696.","DOI":"10.1145\/3539618.3591660"},{"key":"10.1016\/j.patcog.2026.113727_b48","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.111225","article-title":"Semantic decomposition and enhancement hashing for deep cross-modal retrieval","volume":"160","author":"Fei","year":"2025","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.113727_b49","series-title":"Return of the devil in the details: Delving deep into convolutional nets","author":"Chatfield","year":"2014"}],"container-title":["Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320326006928?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320326006928?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T21:51:18Z","timestamp":1780955478000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0031320326006928"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":49,"alternative-id":["S0031320326006928"],"URL":"https:\/\/doi.org\/10.1016\/j.patcog.2026.113727","relation":{},"ISSN":["0031-3203"],"issn-type":[{"value":"0031-3203","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Supervised discrete cross-modal hashing with exploiting semantic correlations","name":"articletitle","label":"Article Title"},{"value":"Pattern Recognition","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.patcog.2026.113727","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"113727"}}