{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T07:04:19Z","timestamp":1784012659031,"version":"3.55.0"},"publisher-location":"Singapore","reference-count":18,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819234943","type":"print"},{"value":"9789819234950","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T00:00:00Z","timestamp":1784073600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T00:00:00Z","timestamp":1784073600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2027]]},"DOI":"10.1007\/978-981-92-3495-0_36","type":"book-chapter","created":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T06:11:09Z","timestamp":1784009469000},"page":"424-435","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["DMFSleepNet: A Multi-scale Disentanglement and Multimodal Fusion Network for Sleep Staging"],"prefix":"10.1007","author":[{"given":"Changyun","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shun","family":"Wan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xi","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhibing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,15]]},"reference":[{"key":"36_CR1","doi-asserted-by":"publisher","first-page":"589","DOI":"10.1038\/nrn2868","volume":"11","author":"K Wulff","year":"2010","unstructured":"Wulff, K., Gatti, S., Wettstein, J.G., Foster, R.G.: Sleep and circadian rhythm disruption in psychiatric and neurodegenerative disease. Nat. Rev. Neurosci. 11, 589\u2013599 (2010)","journal-title":"Nat. Rev. Neurosci."},{"key":"36_CR2","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1002\/acs.1147","volume":"24","author":"F Chapotot","year":"2010","unstructured":"Chapotot, F., Becq, G.: Automated sleep\u2013wake staging combining robust feature extraction, artificial neural network classification, and flexible decision rules. Int. J. Adapt. Control Signal Process. 24, 409\u2013423 (2010)","journal-title":"Int. J. Adapt. Control Signal Process."},{"key":"36_CR3","first-page":"5903","volume":"44","author":"H Phan","year":"2021","unstructured":"Phan, H., Ch\u00e9n, O.Y., Tran, M.C., Koch, P., Mertins, A., De Vos, M.: XSleepNet: multi-view sequential model for automatic sleep staging. IEEE Trans. Pattern Anal. Mach. Intell. 44, 5903\u20135915 (2021)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"36_CR4","unstructured":"Vaswani, A., et al.: Attention is all you need. Adv. Neural Inf. Proces. Syst. 30 (2017)"},{"key":"36_CR5","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1007\/s10618-023-00948-2","volume":"38","author":"NM Foumani","year":"2024","unstructured":"Foumani, N.M., Tan, C.W., Webb, G.I., Salehi, M.: Improving position encoding of transformers for multivariate time series classification. Data Min. Knowl. Disc. 38, 22\u201348 (2024)","journal-title":"Data Min. Knowl. Disc."},{"key":"36_CR6","doi-asserted-by":"publisher","first-page":"733","DOI":"10.1162\/coli_a_00445","volume":"48","author":"P Dufter","year":"2022","unstructured":"Dufter, P., Schmitt, M., Sch\u00fctze, H.: Position information in transformers: an overview. Comput. Linguist. 48, 733\u2013763 (2022)","journal-title":"Comput. Linguist."},{"key":"36_CR7","first-page":"12268","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","author":"X Yuan","year":"2026","unstructured":"Yuan, X., Xie, S., Hua, L., Zhang, C., Zhao, G., Wu, L.Y.: Geometry-aware Noisy correspondence mitigation for cross-modal text-based person retrieval. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 12268\u201312276 (2026)"},{"key":"36_CR8","doi-asserted-by":"crossref","unstructured":"Xie, S., Yuan, X., Gan, W., He, J., Hua, L.: CCMA: consistency-aware cross-modal alignment for text-based person retrieval. In: ICASSP 2026\u20132026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 13012\u2013113016 (2026)","DOI":"10.1109\/ICASSP55912.2026.11464488"},{"key":"36_CR9","first-page":"770","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"K He","year":"2016","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)"},{"key":"36_CR10","unstructured":"Liu, Z., et al.: Kan: kolmogorov-arnold networks. ArXiv Prepr. ArXiv240419756 (2024)"},{"key":"36_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2023.105615","volume":"88","author":"C Zhao","year":"2024","unstructured":"Zhao, C., Li, J., Guo, Y.: Sequence signal reconstruction based multi-task deep learning for sleep staging on single-channel EEG. Biomed. Signal Process. Control. 88, 105615 (2024)","journal-title":"Biomed. Signal Process. Control"},{"key":"36_CR12","doi-asserted-by":"crossref","unstructured":"Pan, J., Feng, Y., Zhao, P., Zou, X., Hou, A., Che, X.: Causalattennet: a fast and long-term-temporal network for automatic sleep staging with single-channel EEG. IEEE Trans. Instrum. Meas. (2024)","DOI":"10.1109\/TIM.2024.3453309"},{"key":"36_CR13","doi-asserted-by":"publisher","first-page":"2198","DOI":"10.1109\/TNSRE.2024.3406383","volume":"32","author":"W Li","year":"2024","unstructured":"Li, W., Liu, T., Xu, B., Song, A.: SleepFC: feature pyramid and cross-scale context learning for sleep staging. IEEE Trans. Neural Syst. Rehabil. Eng. 32, 2198\u20132208 (2024)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"36_CR14","first-page":"1","volume":"72","author":"Q Shen","year":"2023","unstructured":"Shen, Q., et al.: LGSleepNet: an automatic sleep staging model based on local and global representation learning. IEEE Trans. Instrum. Meas. 72, 1\u201314 (2023)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"36_CR15","doi-asserted-by":"crossref","unstructured":"Lv, S., Guan, D., Yuan, W., Ko\u00e7, \u00c7.K.: SleepAC: less dependency on manual annotations. more reliable sampling for automatic sleep staging. IEEE J. Biomed. Health Inform. (2025)","DOI":"10.1109\/JBHI.2025.3587351"},{"key":"36_CR16","doi-asserted-by":"publisher","first-page":"2456","DOI":"10.1109\/TBME.2022.3147187","volume":"69","author":"H Phan","year":"2022","unstructured":"Phan, H., Mikkelsen, K., Ch\u00e9n, O.Y., Koch, P., Mertins, A., De Vos, M.: Sleeptransformer: automatic sleep staging with interpretability and uncertainty quantification. IEEE Trans. Biomed. Eng. 69, 2456\u20132467 (2022)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"36_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2022.106806","volume":"220","author":"C Zhao","year":"2022","unstructured":"Zhao, C., Li, J., Guo, Y.: SleepContextNet: a temporal context network for automatic sleep staging based single-channel EEG. Comput. Methods Prog. Biomed. 220, 106806 (2022)","journal-title":"Comput. Methods Prog. Biomed."},{"key":"36_CR18","unstructured":"Yoshida, K., Chen, Z., Kotoge, R., Matsubara, Y., Sakurai, Y.: Learning structured sleep transitions with sequential EEG foundation models. In: NeurIPS 2025 Workshop on Foundation Models for the Brain and Body"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-92-3495-0_36","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T06:11:25Z","timestamp":1784009485000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-92-3495-0_36"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,15]]},"ISBN":["9789819234943","9789819234950"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-981-92-3495-0_36","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,15]]},"assertion":[{"value":"15 July 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Toronto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 July 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2026a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2026\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}