{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T20:07:49Z","timestamp":1780949269673,"version":"3.54.1"},"reference-count":29,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100018542","name":"Natural Science Foundation of Sichuan Province","doi-asserted-by":"publisher","award":["2025ZNSFSC1464"],"award-info":[{"award-number":["2025ZNSFSC1464"]}],"id":[{"id":"10.13039\/501100018542","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Inf."],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1109\/tii.2026.3662409","type":"journal-article","created":{"date-parts":[[2026,3,2]],"date-time":"2026-03-02T20:58:59Z","timestamp":1772485139000},"page":"5357-5368","source":"Crossref","is-referenced-by-count":0,"title":["Efficient Industrial Dataset Distillation With Textual Trajectory Matching"],"prefix":"10.1109","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-3417-2007","authenticated-orcid":false,"given":"Muquan","family":"Li","sequence":"first","affiliation":[{"name":"Laboratory of Intelligent Collaborative Computing, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qian","family":"Dong","sequence":"additional","affiliation":[{"name":"Laboratory of Intelligent Collaborative Computing, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4839-0234","authenticated-orcid":false,"given":"Dongyang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Laboratory of Intelligent Collaborative Computing, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6174-3877","authenticated-orcid":false,"given":"Ke","family":"Qin","sequence":"additional","affiliation":[{"name":"Laboratory of Intelligent Collaborative Computing, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guangchun","family":"Luo","sequence":"additional","affiliation":[{"name":"Laboratory of Intelligent Collaborative Computing, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/isaf.70015"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2944477"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2024.3452229"},{"key":"ref4","volume-title":"Dataset Distillation","author":"Wang","year":"2018"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3209672"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3322540"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00521"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9533769"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-short.12"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-naacl.199"},{"key":"ref12","volume-title":"An introduction to convolutional neural networks","author":"OShea","year":"2015"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2024.3366977"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-5446"},{"key":"ref15","article-title":"Character-level convolutional networks for text classification","volume-title":"Proc. Neural Inf. Process. Syst.","volume":"18","author":"Zhang","year":"2015"},{"key":"ref16","article-title":"Roberta: A robustly optimized BERT pretraining approach","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Liu","year":"2020"},{"key":"ref17","article-title":"XlNet: Generalized autoregressive pretraining for language understanding","volume-title":"Proc. Neural Inf. Process. Syst.","volume":"32","author":"Yang","year":"2019"},{"key":"ref18","volume-title":"The Llama 3 Herd of Models","author":"Dubey","year":"2024"},{"key":"ref19","article-title":"Dataset condensation with gradient matching","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zhao","year":"2021"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00645"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00365"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-emnlp.733"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1002\/wics.101"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ISSRE59848.2023.00071"},{"issue":"2","key":"ref25","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1080\/13658816.2010.528422","article-title":"Facility location: Concepts, models, algorithms and case studies. series: Contributions to management science","volume":"25","author":"Wolf","year":"2011","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553517"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-12423-5_14"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d17-1070"},{"key":"ref29","article-title":"DeBERTa: Decoding-enhanced BERT with disentangled attention","volume-title":"Proc. Int. Conf. Learn. Representations","author":"He","year":"2021"}],"container-title":["IEEE Transactions on Industrial Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/9424\/11552842\/11417909.pdf?arnumber=11417909","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T19:56:05Z","timestamp":1780948565000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11417909\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":29,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tii.2026.3662409","relation":{},"ISSN":["1551-3203","1941-0050"],"issn-type":[{"value":"1551-3203","type":"print"},{"value":"1941-0050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6]]}}}