{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T01:59:10Z","timestamp":1783389550398,"version":"3.54.6"},"reference-count":65,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"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":["62506285"],"award-info":[{"award-number":["62506285"]}],"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":["62276197"],"award-info":[{"award-number":["62276197"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["QTZX25070"],"award-info":[{"award-number":["QTZX25070"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["ZYTS25205"],"award-info":[{"award-number":["ZYTS25205"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Natural Science Basic Research Program of Shaanxi","award":["2025JC-YBQN-795"],"award-info":[{"award-number":["2025JC-YBQN-795"]}]},{"name":"Shaanxi Province Innovation Capability Support Plan","award":["2023-CX-TD-09"],"award-info":[{"award-number":["2023-CX-TD-09"]}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2025T180431"],"award-info":[{"award-number":["2025T180431"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2025M771550"],"award-info":[{"award-number":["2025M771550"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1109\/tnnls.2025.3615307","type":"journal-article","created":{"date-parts":[[2025,10,6]],"date-time":"2025-10-06T17:37:31Z","timestamp":1759772251000},"page":"1449-1462","source":"Crossref","is-referenced-by-count":3,"title":["PID: A Parameter-Efficient Isolation Domain-Incremental Learning Framework for Signal Modulation Classification"],"prefix":"10.1109","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9606-7052","authenticated-orcid":false,"given":"Guanchun","family":"Wang","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziyi","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0379-2042","authenticated-orcid":false,"given":"Xiangrong","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yifan","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yifang","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"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":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2024.3414942"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-44188-7_16"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i15.29606"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2024.3441597"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2024.3453559"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3191783"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2023.3242091"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3132341"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-022-00568-3"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3367329"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1037\/\/0033-295x.102.3.419"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/s0079-7421(08)60536-8"},{"key":"ref13","first-page":"1","article-title":"Experience replay for continual learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Rolnick"},{"key":"ref14","article-title":"Efficient lifelong learning with A-GEM","author":"Chaudhry","year":"2018","journal-title":"arXiv:1812.00420"},{"key":"ref15","first-page":"15920","article-title":"Dark experience for general continual learning: A strong, simple baseline","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Buzzega"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.587"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2773081"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"ref19","first-page":"3987","article-title":"Continual learning through synaptic intelligence","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zenke"},{"key":"ref20","first-page":"2372","article-title":"Unifying importance based regularisation methods for continual learning","volume-title":"Proc. Int. Conf. Artif. Intell. Stat.","volume":"151","author":"Benzing"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3277018"},{"key":"ref22","first-page":"10734","article-title":"Forget-free continual learning with winning subnetworks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Kang"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00025"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00390"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.753"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i8.26216"},{"key":"ref27","article-title":"Divide and not forget: Ensemble of selectively trained experts in continual learning","author":"Rype\u015b\u0107","year":"2024","journal-title":"arXiv:2401.10191"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.52202\/068431-0366"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.52202\/068431-0411"},{"key":"ref30","article-title":"Dual consolidation for pre-trained model-based domain-incremental learning","author":"Zhou","year":"2024","journal-title":"arXiv:2410.00911"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3390038"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/MWSCAS48704.2020.9184646"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICMCCE51767.2020.00373"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.23919\/JCC.fa.2022-0599.202307"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2024.3485083"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2020.2999453"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2021.3102656"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/DySPAN.2017.7920754"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2018.2811802"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2017.2704124"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/26.823550"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/NAECON.2015.7443070"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSPA.2013.6487244"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2022.103650"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3303319"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2024.3395751"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.05.103"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/VTC2020-Spring48590.2020.9128408"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2017.8335483"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CompComm.2017.8322633"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2018.2835460"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00339"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/954339.954342"},{"key":"ref54","article-title":"Learning to learn without forgetting by maximizing transfer and minimizing interference","author":"Riemer","year":"2018","journal-title":"arXiv:1810.11910"},{"key":"ref55","first-page":"1","article-title":"Continual learning with deep generative replay","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Shin"},{"key":"ref56","first-page":"1","article-title":"Gradient based sample selection for online continual learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Aljundi"},{"key":"ref57","article-title":"Online coreset selection for rehearsal-based continual learning","author":"Yoon","year":"2021","journal-title":"arXiv:2106.01085"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00020"},{"issue":"1","key":"ref59","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":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2018.2797022"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00092"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00908"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_33"},{"key":"ref64","first-page":"22379","article-title":"AFEC: Active forgetting of negative transfer in continual learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Wang"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19809-0_15"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/5962385\/11418705\/11193768.pdf?arnumber=11193768","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T05:45:12Z","timestamp":1772775912000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11193768\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":65,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2025.3615307","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3]]}}}