{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T21:38:00Z","timestamp":1771018680443,"version":"3.50.1"},"reference-count":65,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["72495135"],"award-info":[{"award-number":["72495135"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Automat. Sci. Eng."],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/tase.2025.3610538","type":"journal-article","created":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T17:49:00Z","timestamp":1758217740000},"page":"3738-3752","source":"Crossref","is-referenced-by-count":0,"title":["Learning-Based Priority Assignment With Preference Conflicts: An Analytical Framework and a Case Study"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-2827-9955","authenticated-orcid":false,"given":"Zhaoyang","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering, Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qing","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0148-1232","authenticated-orcid":false,"given":"Jingshan","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.4028\/www.scientific.net\/AMM.741.856"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2016.04.016"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2016.04.002"},{"issue":"11","key":"ref4","first-page":"147","article-title":"Priority based job scheduling techniques in cloud computing: A systematic review","volume":"2","author":"Patel","year":"2013","journal-title":"Int. J. Sci. Technol. Res."},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2009.09.016"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/RTCSA.1999.811269"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-017-1044-2"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3343877"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s42979-020-00326-5"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/9.231461"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2009.2030426"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2017.09.001"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.30574\/wjarr.2023.20.3.2531"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICITIIT49094.2020.9071559"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2004.840416"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.12.035"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-018-0151-6"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3233\/THC-192086"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2021.107306"},{"key":"ref20","first-page":"48976","article-title":"Position: Why tabular foundation models should be a research priority","volume-title":"Proc. 41st Int. Conf. Mach. Learn.","volume":"235","author":"Van Breugel"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/app13042678"},{"key":"ref22","article-title":"Synthetic tabular data generation for class imbalance and fairness: A comparative study","author":"Panagiotou","year":"2024","journal-title":"arXiv:2409.05215"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0192-5"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858826"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1002\/9781118445112.stat08284"},{"key":"ref27","article-title":"Modeling tabular data using conditional GAN","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Xu"},{"key":"ref28","first-page":"97112","article-title":"CTAB-GAN: Effective table data synthesizing","volume-title":"Proc. 13th Asian Conf. Mach. Learn. (ACML)","volume":"157","author":"Zhao","year":"2021"},{"key":"ref29","first-page":"17560","article-title":"TabDDPM: Modelling tabular data with diffusion models","volume-title":"Proc. 40th Int. Conf. Mach. Learn.","author":"Kotelnikov"},{"key":"ref30","article-title":"Epic: Effective prompting for imbalanced-class data synthesis in tabular data classification via large language models","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"37","author":"Kim"},{"key":"ref31","article-title":"A comprehensive survey of synthetic tabular data generation","author":"Shi","year":"2025","journal-title":"arXiv:2504.16506"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-023-02048-5"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1177\/17483026231215186"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s10878-015-9853-2"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.orhc.2020.100257"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/2379091"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2022.09.027"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2007.06.017"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2021.107831"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-017-0718-3"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2009.03.009"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-013-5365-4"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.buildenv.2021.107875"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2013.2270358"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1142\/S021848852250012X"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/0272-6963(95)00032-1"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2024.3376588"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/321738.321743"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1186\/s13638-023-02253-4"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1049\/iet-gtd.2019.1468"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2017.105"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-022-10082-9"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TSM.2023.3326865"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/s10878-015-9846-1"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102363"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273513"},{"key":"ref57","article-title":"Deep reinforcement learning from human preferences","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Christiano"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref59","article-title":"Synthesizing tabular data using generative adversarial networks","author":"Xu","year":"2018","journal-title":"arXiv:1811.11264"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2017.03.065"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-020-01852-8"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-0258(19980730)17:14<1623::AID-SIM871>3.0.CO;2-S"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2020.103617"},{"key":"ref64","article-title":"Estimating or propagating gradients through stochastic neurons for conditional computation","author":"Bengio","year":"2013","journal-title":"arXiv:1308.3432"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00489"}],"container-title":["IEEE Transactions on Automation Science and Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/8856\/11323516\/11172376.pdf?arnumber=11172376","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T20:53:09Z","timestamp":1771015989000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11172376\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":65,"URL":"https:\/\/doi.org\/10.1109\/tase.2025.3610538","relation":{},"ISSN":["1545-5955","1558-3783"],"issn-type":[{"value":"1545-5955","type":"print"},{"value":"1558-3783","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}