{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T16:47:05Z","timestamp":1782578825249,"version":"3.54.5"},"reference-count":37,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T00:00:00Z","timestamp":1782172800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100022976","name":"National Institute of Natural Hazards","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100022976","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.neucom.2026.134348","type":"journal-article","created":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T16:14:49Z","timestamp":1782231289000},"page":"134348","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["MD-TabPFN: Multi-domain feature fusion for modulation recognition based on tabular prior data fitting network"],"prefix":"10.1016","volume":"698","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-0881-4994","authenticated-orcid":false,"given":"Liaoyang","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hua","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zisen","family":"Qi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tao","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guangwei","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"12","key":"10.1016\/j.neucom.2026.134348_bib0005","doi-asserted-by":"crossref","first-page":"7020","DOI":"10.1109\/TNNLS.2021.3085433","article-title":"A survey of modulation classification using deep learning: signal representation and data preprocessing","volume":"33","author":"Peng","year":"2021","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"11","key":"10.1016\/j.neucom.2026.134348_bib0010","doi-asserted-by":"crossref","first-page":"7663","DOI":"10.1109\/TWC.2023.3254490","article-title":"RML22: realistic dataset generation for wireless modulation classification","volume":"22","author":"Sathyanarayanan","year":"2023","journal-title":"IEEE Trans. Wirel. Commun."},{"issue":"14","key":"10.1016\/j.neucom.2026.134348_bib0015","doi-asserted-by":"crossref","first-page":"12276","DOI":"10.1109\/JIOT.2023.3247162","article-title":"Automatic modulation classification via meta-learning","volume":"10","author":"Hao","year":"2023","journal-title":"IEEE Internet Things J."},{"key":"10.1016\/j.neucom.2026.134348_bib0020","doi-asserted-by":"crossref","first-page":"1342","DOI":"10.1109\/LSP.2022.3179958","article-title":"A new deep learning framework for HF signal detection in wideband spectrogram","volume":"29","author":"Li","year":"2022","journal-title":"IEEE Signal Process. Lett."},{"key":"10.1016\/j.neucom.2026.134348_bib0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.109345","article-title":"Frequency learning attention networks based on deep learning for automatic modulation classification in wireless communication","volume":"137","author":"Zhang","year":"2023","journal-title":"Pattern Recognit."},{"issue":"9","key":"10.1016\/j.neucom.2026.134348_bib0030","doi-asserted-by":"crossref","first-page":"6033","DOI":"10.1109\/TWC.2023.3239311","article-title":"GGCNN: an efficiency-maximizing gated graph convolutional neural network architecture for automatic modulation identification","volume":"22","author":"Ghasemzadeh","year":"2023","journal-title":"IEEE Trans. Wirel. Commun."},{"issue":"1","key":"10.1016\/j.neucom.2026.134348_bib0035","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1109\/TWC.2021.3095855","article-title":"Real-time radio technology and modulation classification via an LSTM auto-encoder","volume":"21","author":"Ke","year":"2021","journal-title":"IEEE Trans. Wirel. Commun."},{"issue":"6","key":"10.1016\/j.neucom.2026.134348_bib0040","doi-asserted-by":"crossref","first-page":"1727","DOI":"10.1109\/LWC.2019.2939314","article-title":"Deep learning for spectrum sensing","volume":"8","author":"Gao","year":"2019","journal-title":"IEEE Wirel. Commun. Lett."},{"issue":"1","key":"10.1016\/j.neucom.2026.134348_bib0045","first-page":"402","article-title":"Meta-learning guided label noise distillation for robust signal modulation classification","volume":"12","author":"Hao","year":"2025","journal-title":"IEEE Internet Things J."},{"key":"10.1016\/j.neucom.2026.134348_bib0050","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence, 36","first-page":"780","article-title":"Meta faster R-CNN: towards accurate few-shot object detection with attentive feature alignment","author":"Han","year":"2022"},{"issue":"9","key":"10.1016\/j.neucom.2026.134348_bib0055","doi-asserted-by":"crossref","first-page":"5823","DOI":"10.1109\/TCOMM.2024.3385921","article-title":"SSwsrNet: a semi-supervised few-shot learning framework for wireless signal recognition","volume":"72","author":"Zhang","year":"2024","journal-title":"IEEE Trans. Commun."},{"key":"10.1016\/j.neucom.2026.134348_bib0060","series-title":"IEEE Transactions on Wireless Communications","article-title":"A transformer based self-supervised learning framework for robust time-frequency localization in concurrent cognitive scenario","author":"Zhao","year":"2025"},{"key":"10.1016\/j.neucom.2026.134348_bib0065","series-title":"MILCOM 2021-2021 IEEE Military Communications Conference (MILCOM)","first-page":"777","article-title":"Self-contrastive learning based semi-supervised radio modulation classification","author":"Liu","year":"2021"},{"key":"10.1016\/j.neucom.2026.134348_bib0070","author":"Hollmann"},{"issue":"8045","key":"10.1016\/j.neucom.2026.134348_bib0075","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1038\/s41586-024-08328-6","article-title":"Accurate predictions on small data with a tabular foundation model","volume":"637","author":"Hollmann","year":"2025","journal-title":"Nature"},{"key":"10.1016\/j.neucom.2026.134348_bib0080","series-title":"Fine-tuned in-context learning transformers are excellent tabular data classifiers","author":"den Breejen","year":"2024"},{"key":"10.1016\/j.neucom.2026.134348_bib0085","series-title":"NeurIPS Workshop on Time Series in the Age of Large Models","article-title":"The tabular foundation model tabpfn outperforms specialized time series forecasting models based on simple features","author":"Hoo","year":"2024"},{"issue":"24","key":"10.1016\/j.neucom.2026.134348_bib0090","doi-asserted-by":"crossref","first-page":"30960","DOI":"10.1109\/JSEN.2023.3331100","article-title":"Early fault classification in rotating machinery with limited data using TabPFN","volume":"23","author":"Magad\u00e1n","year":"2023","journal-title":"IEEE Sens. J."},{"key":"10.1016\/j.neucom.2026.134348_bib0095","author":"M\u00fcller"},{"issue":"14","key":"10.1016\/j.neucom.2026.134348_bib0100","doi-asserted-by":"crossref","first-page":"20080","DOI":"10.1007\/s11227-024-06166-x","article-title":"A TabPFN-based intrusion detection system for the industrial internet of things","volume":"80","author":"Ruiz-Villafranca","year":"2024","journal-title":"J. Supercomput."},{"key":"10.1016\/j.neucom.2026.134348_bib0105","series-title":"IEEE Transactions on Wireless Communications","article-title":"VSLM: virtual signal large model for few-shot wideband signal detection and recognition","author":"Hao","year":"2024"},{"issue":"1","key":"10.1016\/j.neucom.2026.134348_bib0110","doi-asserted-by":"crossref","first-page":"5951","DOI":"10.1038\/s41467-025-60921-z","article-title":"Multi-representation domain attentive contrastive learning based unsupervised automatic modulation recognition","volume":"16","author":"Li","year":"2025","journal-title":"Nat. Commun."},{"issue":"1","key":"10.1016\/j.neucom.2026.134348_bib0115","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1109\/LWC.2022.3217292","article-title":"Self-supervised RF signal representation learning for NextG signal classification with deep learning","volume":"12","author":"Davaslioglu","year":"2022","journal-title":"IEEE Wirel. Commun. Lett."},{"issue":"10","key":"10.1016\/j.neucom.2026.134348_bib0120","doi-asserted-by":"crossref","first-page":"1629","DOI":"10.1109\/LWC.2020.2999453","article-title":"A spatiotemporal multi-channel learning framework for automatic modulation recognition","volume":"9","author":"Xu","year":"2020","journal-title":"IEEE Wirel. Commun. Lett."},{"key":"10.1016\/j.neucom.2026.134348_bib0125","series-title":"IEEE Wireless Communications Letters","article-title":"Anchor-free signal detector based on multi-grained time-frequency localization in wideband spectrogram","author":"Li","year":"2024"},{"key":"10.1016\/j.neucom.2026.134348_bib0130","series-title":"2017 51st Asilomar Conference on Signals, Systems, and Computers","first-page":"829","article-title":"Learning robust general radio signal detection using computer vision methods","author":"O\u2019Shea","year":"2017"},{"key":"10.1016\/j.neucom.2026.134348_bib0135","author":"Boegner"},{"key":"10.1016\/j.neucom.2026.134348_bib0140","doi-asserted-by":"crossref","first-page":"1162","DOI":"10.1109\/LSP.2023.3309161","article-title":"A learning-based signal parameter extraction approach for multi-source frequency-hopping signal sorting","volume":"30","author":"Wang","year":"2023","journal-title":"IEEE Signal Process. Lett."},{"issue":"12","key":"10.1016\/j.neucom.2026.134348_bib0145","doi-asserted-by":"crossref","first-page":"2481","DOI":"10.1109\/TPAMI.2016.2644615","article-title":"Segnet: a deep convolutional encoder-decoder architecture for image segmentation","volume":"39","author":"Badrinarayanan","year":"2017","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"4","key":"10.1016\/j.neucom.2026.134348_bib0150","doi-asserted-by":"crossref","first-page":"707","DOI":"10.1109\/LWC.2022.3140828","article-title":"Learning of time-frequency attention mechanism for automatic modulation recognition","volume":"11","author":"Lin","year":"2022","journal-title":"IEEE Wirel. Commun. Lett."},{"issue":"3","key":"10.1016\/j.neucom.2026.134348_bib0155","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1109\/TCCN.2018.2835460","article-title":"Deep learning models for wireless signal classification with distributed low-cost spectrum sensors","volume":"4","author":"Rajendran","year":"2018","journal-title":"IEEE Trans. Cogn. Commun. Netw."},{"key":"10.1016\/j.neucom.2026.134348_bib0160","author":"Wu"},{"key":"10.1016\/j.neucom.2026.134348_bib0165","first-page":"2825","article-title":"Scikit-Learn: machine learning in Python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"J. mach. Learn. res."},{"issue":"6","key":"10.1016\/j.neucom.2026.134348_bib0170","doi-asserted-by":"crossref","first-page":"2131","DOI":"10.1109\/TCBB.2019.2911071","article-title":"XGBoost model for chronic kidney disease diagnosis","volume":"17","author":"Ogunleye","year":"2019","journal-title":"IEEE\/ACM Trans. Comput. Biol. Bioinform."},{"issue":"4","key":"10.1016\/j.neucom.2026.134348_bib0175","doi-asserted-by":"crossref","first-page":"5314","DOI":"10.1109\/TPAMI.2022.3206148","article-title":"Resmlp: feedforward networks for image classification with data-efficient training","volume":"45","author":"Touvron","year":"2022","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neucom.2026.134348_bib0180","series-title":"European Conference on Computer Vision","first-page":"221","article-title":"This probably looks exactly like that: an invertible prototypical network","author":"Carmichael","year":"2024"},{"key":"10.1016\/j.neucom.2026.134348_bib0185","series-title":"6th Annual Learning for Dynamics & Control Conference","first-page":"902","article-title":"Meta-learning linear quadratic regulators: a policy gradient MAML approach for model-free LQR","author":"Toso","year":"2024"}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226017467?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226017467?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T16:15:00Z","timestamp":1782576900000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231226017467"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":37,"alternative-id":["S0925231226017467"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2026.134348","relation":{},"ISSN":["0925-2312"],"issn-type":[{"value":"0925-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"MD-TabPFN: Multi-domain feature fusion for modulation recognition based on tabular prior data fitting network","name":"articletitle","label":"Article Title"},{"value":"Neurocomputing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neucom.2026.134348","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Author(s). Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"134348"}}