{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T00:27:29Z","timestamp":1779236849409,"version":"3.51.4"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62271377"],"award-info":[{"award-number":["62271377"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62201407"],"award-info":[{"award-number":["62201407"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62231027"],"award-info":[{"award-number":["62231027"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62471385"],"award-info":[{"award-number":["62471385"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research and Development Program of Shannxi Program","award":["2024GX-ZDCYL-02-17"],"award-info":[{"award-number":["2024GX-ZDCYL-02-17"]}]},{"name":"Key Research and Development Program of Shannxi Program","award":["2024GX-ZDCYL-02-08"],"award-info":[{"award-number":["2024GX-ZDCYL-02-08"]}]},{"name":"Key Research and Development Program of Shannxi Program","award":["2023YBGY244"],"award-info":[{"award-number":["2023YBGY244"]}]},{"name":"Key Research and Development Program of Shannxi Program","award":["2023QCYLL28"],"award-info":[{"award-number":["2023QCYLL28"]}]},{"name":"Key Research and Development Program of Shannxi Program","award":["2022ZDLGY01-12"],"award-info":[{"award-number":["2022ZDLGY01-12"]}]},{"name":"Key Research and Development Program of Shannxi Program","award":["2021ZDLGY01-06"],"award-info":[{"award-number":["2021ZDLGY01-06"]}]},{"name":"National Key Research and Development Program of China","award":["2021ZD0110400"],"award-info":[{"award-number":["2021ZD0110400"]}]},{"name":"National Key Research and Development Program of China","award":["2021ZD0110404"],"award-info":[{"award-number":["2021ZD0110404"]}]},{"name":"Key Scientific Technological Innovation Research Project by Ministry of Education"},{"name":"State Key Program and the Foundation for Innovative Research Groups of the National Natural Science Foundation of China","award":["61836009"],"award-info":[{"award-number":["61836009"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U22B2054"],"award-info":[{"award-number":["U22B2054"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Fund for Foreign Scholars in University Research and Teaching Program\u2019s 111 Project","award":["B07048"],"award-info":[{"award-number":["B07048"]}]},{"name":"Program for Cheung Kong Scholars and Innovative Research Team in University","award":["IRT 15R53"],"award-info":[{"award-number":["IRT 15R53"]}]},{"name":"Key Research and Development Program of Xi\u2019an","award":["23ZDCYJSGG0001-2022"],"award-info":[{"award-number":["23ZDCYJSGG0001-2022"]}]},{"name":"Starlit South Lake Leading Elite Program"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Commun."],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1109\/tcomm.2025.3604324","type":"journal-article","created":{"date-parts":[[2025,8,29]],"date-time":"2025-08-29T17:42:08Z","timestamp":1756489328000},"page":"13519-13534","source":"Crossref","is-referenced-by-count":2,"title":["AFLNet: Auxiliary Feature Learning-Guided Cross-Channel Automatic Modulation Classification"],"prefix":"10.1109","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5316-6077","authenticated-orcid":false,"given":"Hantong","family":"Xing","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4940-1211","authenticated-orcid":false,"given":"Shuang","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6399-9675","authenticated-orcid":false,"given":"Chenxu","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6943-4657","authenticated-orcid":false,"given":"Dou","family":"Quan","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5155-8157","authenticated-orcid":false,"given":"Hanlin","family":"Mo","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8715-4195","authenticated-orcid":false,"given":"Luyang","family":"Mei","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7331-5589","authenticated-orcid":false,"given":"Huaji","family":"Zhou","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Electromagnetic Space Security, Jiaxing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3354-9617","authenticated-orcid":false,"given":"Licheng","family":"Jiao","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2024.3375507"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2024.3399067"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM42981.2021.9488835"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2024.3386762"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF44664.2019.9049019"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/4277061"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.2991875"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2024.3379379"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3085433"},{"key":"ref10","first-page":"1","article-title":"Radio machine learning dataset generation with GNU radio","volume-title":"Proc. GNU Radio Conf.","volume":"1","author":"O\u2019Shea"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/DySPAN.2017.7920754"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/rs15153886"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/I2MTC60896.2024.10560842"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2024.3465648"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2024.3457741"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3488118"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-658-40442-0_9"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref20","first-page":"22243","article-title":"Big self-supervised models are strong semi-supervised learners","volume-title":"Proc. 34th Int. Conf. Neural Inf. Process. Syst.","author":"Chen"},{"key":"ref21","article-title":"Improved baselines with momentum contrastive learning","author":"Chen","year":"2020","journal-title":"arXiv:2003.04297"},{"key":"ref22","first-page":"775","article-title":"Discriminative clustering by regularized information maximization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"23","author":"Krause"},{"key":"ref23","first-page":"6028","article-title":"Do we really need to access the source data? Source hypothesis transfer for unsupervised domain adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Liang"},{"key":"ref24","first-page":"3635","article-title":"Model adaptation: Historical contrastive learning for unsupervised domain adaptation without source data","volume-title":"Proc. 35th Int. Conf. Neural Inf. Process. Syst.","volume":"34","author":"Huang"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3103390"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3377916"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3432548"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1049\/iet-com:20050176"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2012.021712.100638"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2010.2076347"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2019.2927348"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2008.070015"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2017.2764078"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2012.060412.110460"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-44188-7_16"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2020.2999453"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2021.3093485"},{"key":"ref38","first-page":"2208","article-title":"Deep transfer learning with joint adaptation networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Long"},{"key":"ref39","article-title":"Domain adaptation for visual applications: A comprehensive survey","author":"Csurka","year":"2017","journal-title":"arXiv:1702.05374"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.107"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11784"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-022-10977-5"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11767"},{"key":"ref45","first-page":"1640","article-title":"Conditional adversarial domain adaptation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Long"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00814"},{"key":"ref47","article-title":"Self-ensembling for visual domain adaptation","author":"French","year":"2017","journal-title":"arXiv:1706.05208"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01128"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_18"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00608"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01395-y"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00710"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00142"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2024.3492496"},{"issue":"59","key":"ref55","first-page":"1","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"GaninYaroslav","year":"2016","journal-title":"J. Mach. Learn. Res."},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"}],"container-title":["IEEE Transactions on Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/26\/11314911\/11145168.pdf?arnumber=11145168","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T18:24:31Z","timestamp":1766773471000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11145168\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12]]},"references-count":56,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tcomm.2025.3604324","relation":{},"ISSN":["0090-6778","1558-0857"],"issn-type":[{"value":"0090-6778","type":"print"},{"value":"1558-0857","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12]]}}}