{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T16:09:08Z","timestamp":1775578148413,"version":"3.50.1"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Foshan HKUST Projects","award":["FSUST21-HKUST10E"],"award-info":[{"award-number":["FSUST21-HKUST10E"]}]},{"name":"Foshan HKUST Projects","award":["FSUST21-HKUST11E"],"award-info":[{"award-number":["FSUST21-HKUST11E"]}]},{"name":"Project of Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone","award":["HZQB-KCZYB-2020083"],"award-info":[{"award-number":["HZQB-KCZYB-2020083"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1109\/tnnls.2023.3336765","type":"journal-article","created":{"date-parts":[[2023,12,13]],"date-time":"2023-12-13T14:38:30Z","timestamp":1702478310000},"page":"1872-1883","source":"Crossref","is-referenced-by-count":8,"title":["Dynamic Subcluster-Aware Network for Few-Shot Skin Disease Classification"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2363-0529","authenticated-orcid":false,"given":"Shuhan","family":"Li","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, SAR, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1105-8083","authenticated-orcid":false,"given":"Xiaomeng","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, SAR, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1046-6379","authenticated-orcid":false,"given":"Xiaowei","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Surgery, Guangdong Provincial People&#x2019;s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3885-4912","authenticated-orcid":false,"given":"Kwang-Ting","family":"Cheng","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, SAR, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32245-8_67"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2018.01.004"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_49"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2845918"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-01008-z"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2995319"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.369"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412941"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3040269"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2020.2991173"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2951844"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/s41525-021-00176-x"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/b978-0-32-399851-2.00022-3"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59710-8_35"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00373"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM49941.2020.9313372"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59725-2_32"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107797"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108111"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM55620.2022.9995042"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58583-9_8"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413783"},{"key":"ref24","article-title":"Self-supervised prototypical transfer learning for few-shot classification","author":"Medina","year":"2020","journal-title":"arXiv:2006.11325"},{"key":"ref25","article-title":"Self-training for few-shot transfer across extreme task differences","author":"Perng Phoo","year":"2020","journal-title":"arXiv:2010.07734"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.109108"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s11276-021-02713-z"},{"key":"ref28","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Finn"},{"key":"ref29","article-title":"Prototypical networks for few-shot learning","author":"Snell","year":"2017","journal-title":"arXiv:1703.05175"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-3346-1_36"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2018.2824327"},{"key":"ref32","article-title":"On first-order meta-learning algorithms","author":"Nichol","year":"2018","journal-title":"arXiv:1803.02999"},{"key":"ref33","first-page":"3630","article-title":"Matching networks for one shot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Vinyals"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.04.040"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2023.3262351"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3011526"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2023.3287181"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3233553"},{"key":"ref39","article-title":"A closer look at few-shot classification","author":"Chen","year":"2019","journal-title":"arXiv:1904.04232"},{"key":"ref40","article-title":"A baseline for few-shot image classification","author":"Dhillon","year":"2019","journal-title":"arXiv:1909.02729"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58568-6_16"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_42"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093338"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58548-8_26"},{"key":"ref45","article-title":"Free lunch for few-shot learning: Distribution calibration","author":"Yang","year":"2021","journal-title":"arXiv:2101.06395"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-86340-1_39"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.3390\/a15050147"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging8070179"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3137605"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3183586"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3181116"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3127346"},{"key":"ref53","article-title":"SimpleShot: Revisiting nearest-neighbor classification for few-shot learning","author":"Wang","year":"2019","journal-title":"arXiv:1911.04623"},{"key":"ref54","first-page":"2990","article-title":"Group equivariant convolutional networks","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Cohen"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.5244\/C.30.87"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"issue":"11","key":"ref57","first-page":"1","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/NNSP.1999.788121"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10832116\/10359118.pdf?arnumber=10359118","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T18:38:56Z","timestamp":1764959936000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10359118\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":58,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2023.3336765","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1]]}}}