{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T22:31:44Z","timestamp":1784241104145,"version":"3.55.0"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Young Talent Fund of Association for Science and Technology in Shaaxi","award":["20220101"],"award-info":[{"award-number":["20220101"]}]},{"name":"Young Talent Support Project for Military Science and Technology","award":["2022-JCJQ-QT018"],"award-info":[{"award-number":["2022-JCJQ-QT018"]}]},{"name":"Postdoctoral International Exchange Project","award":["YJ20220347"],"award-info":[{"award-number":["YJ20220347"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation","doi-asserted-by":"publisher","award":["62303489"],"award-info":[{"award-number":["62303489"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Postdoctoral Science Foundation General Program","award":["2022M723877"],"award-info":[{"award-number":["2022M723877"]}]},{"name":"Postdoctoral Science Foundation Special Funding","award":["2023T160790"],"award-info":[{"award-number":["2023T160790"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Artif. Intell."],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1109\/tai.2024.3376510","type":"journal-article","created":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T14:57:32Z","timestamp":1710255452000},"page":"6196-6209","source":"Crossref","is-referenced-by-count":15,"title":["From Behavior to Natural Language: Generative Approach for Unmanned Aerial Vehicle Intent Recognition"],"prefix":"10.1109","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-2230-676X","authenticated-orcid":false,"given":"Leyan","family":"Li","sequence":"first","affiliation":[{"name":"College of Air Traffic Control and Navigation, Air Force Engineering University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rennong","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Air Traffic Control and Navigation, Air Force Engineering University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6406-2399","authenticated-orcid":false,"given":"Maolong","family":"Lv","sequence":"additional","affiliation":[{"name":"College of Air Traffic Control and Navigation, Air Force Engineering University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0654-8790","authenticated-orcid":false,"given":"Ao","family":"Wu","sequence":"additional","affiliation":[{"name":"College of Air Traffic Control and Navigation, Air Force Engineering University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6549-3414","authenticated-orcid":false,"given":"Zilong","family":"Zhao","sequence":"additional","affiliation":[{"name":"TUM School of Social Sciences and Technology, Munich, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2023.3283488"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2021.3087666"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2023.3314581"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3144171"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3025926"},{"issue":"2","key":"ref6","article-title":"A cost-sensitive method for aerial target intention recognition","volume":"45","author":"Ding","year":"2024","journal-title":"Acta Aeronautica et Astronautica Sinica"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2021.3081057"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.21629\/JSEE.2018.04.11"},{"issue":"7","key":"ref9","first-page":"86","article-title":"Hierarchical recognition method of hostile air-tar gets in sea battlefields based on Bayesian deduction","volume":"43","author":"Yang","year":"2018","journal-title":"Fire Control Command Control"},{"issue":"S1","key":"ref10","first-page":"143","article-title":"Air target intention recognition based on evidence-network causal analysis","volume":"43","author":"Zhang","year":"2022","journal-title":"Acta Aeronautica et Astronautica Sinica"},{"issue":"3","key":"ref11","first-page":"29","article-title":"Intention recognition method of air target based on SSA-SVM","volume":"42","author":"Wu","year":"2022","journal-title":"Ship Electron. Eng."},{"key":"ref12","article-title":"Denoising diffusion probabilistic models","author":"Ho","year":"2020"},{"key":"ref13","article-title":"Generative adversarial nets","volume-title":"Proc. NeulrPS","volume":"27","author":"Goodfellow","year":"2018"},{"key":"ref14","first-page":"6256","article-title":"Unsupervised data augmentation for consistency training","volume-title":"Adv. Neural Info. Process. Syst.","volume":"33","author":"Xie","year":"2020"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2021.3114390"},{"key":"ref16","article-title":"Generating long sequences with sparse transformers","author":"Child","year":"2019"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17325"},{"key":"ref18","article-title":"XLNet: Generalized autoregressive pretraining for language understanding","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Yang","year":"2019"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2010.11929"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00355"},{"key":"ref21","first-page":"28492","article-title":"Robust speech recognition via large-scale weak supervision","volume-title":"Proc. 40th Int. Conf. Mach. Learn.","volume":"202","author":"Radford","year":"2023"},{"key":"ref22","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","volume":"139","author":"Radford","year":"2021"},{"key":"ref23","first-page":"8821","article-title":"Zero-shot text-to-image generation","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","volume":"139","author":"Ramesh","year":"2021"},{"key":"ref24","article-title":"Hierarchical text-conditional image generation with clip latents","author":"Ramesh","year":"2022"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00126"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2023.3251309"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00688"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2021.3054609"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref30","article-title":"Improving language understanding by generative pre-training","author":"Radford","year":"2018"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2023.3266986"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2023.3311420"},{"key":"ref35","first-page":"1","article-title":"Scalable intent recognition in wargame using transformer","volume-title":"Proc. 7th Chin. Conf. Swarm Intell. Cooperative Control","author":"Li","year":"2023"},{"issue":"11","key":"ref36","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.24191\/jcrinn.v7i1.274"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CISDA.2009.5356528"},{"key":"ref39","first-page":"207","volume-title":"Decision Tree Based Intrusion Detection System for NSL-KDD Dataset","author":"Ingre","year":"2017"}],"container-title":["IEEE Transactions on Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9078688\/10794552\/10470461.pdf?arnumber=10470461","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T01:09:18Z","timestamp":1755911358000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10470461\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":39,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tai.2024.3376510","relation":{},"ISSN":["2691-4581"],"issn-type":[{"value":"2691-4581","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12]]}}}