{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T09:49:24Z","timestamp":1776851364558,"version":"3.51.2"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"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":["72201029"],"award-info":[{"award-number":["72201029"]}],"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":["72288101"],"award-info":[{"award-number":["72288101"]}],"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":["72322022"],"award-info":[{"award-number":["72322022"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1109\/tits.2024.3385029","type":"journal-article","created":{"date-parts":[[2024,4,17]],"date-time":"2024-04-17T17:39:22Z","timestamp":1713375562000},"page":"12605-12620","source":"Crossref","is-referenced-by-count":11,"title":["An End-to-End Predict-Then-Optimize Clustering Method for Stochastic Assignment Problems"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0763-9344","authenticated-orcid":false,"given":"Jinlei","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Systems Science, Beijing Jiaotong University, Haidian, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ergang","family":"Shan","sequence":"additional","affiliation":[{"name":"Zhejiang Cainiao Supply Chain Management Company Ltd., Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lixia","family":"Wu","sequence":"additional","affiliation":[{"name":"Zhejiang Cainiao Supply Chain Management Company Ltd., Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiateng","family":"Yin","sequence":"additional","affiliation":[{"name":"School of Systems Science, Beijing Jiaotong University, Haidian, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1628-5015","authenticated-orcid":false,"given":"Lixing","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Systems Science, Beijing Jiaotong University, Haidian, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziyou","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Systems Science, Beijing Jiaotong University, Haidian, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411871"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330968"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.2020.3922"},{"key":"ref4","article-title":"Task-based end-to-end model learning in stochastic optimization","author":"Donti","year":"2017","journal-title":"arXiv:1703.04529"},{"key":"ref5","first-page":"4672","article-title":"End to end learning and optimization on graphs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Wilder"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1609.02907"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3000761"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2021.103466"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.102858"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.102951"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3526087"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.2307\/2346830"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0601602103"},{"key":"ref14","first-page":"577","article-title":"Constrained k-means clustering with background knowledge","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Wagstaff"},{"key":"ref15","article-title":"Constrained k-means clustering","volume":"20","author":"Bradley","year":"2000"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20870-7_24"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s10100-023-00881-1"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-017-2742-6"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.2022.4321"},{"key":"ref20","article-title":"An investigation into predict-and-optimize machine learning","author":"Puppels","year":"2020"},{"key":"ref21","article-title":"A surrogate objective framework for Prediction+Optimization with soft constraints","author":"Yan","year":"2021","journal-title":"arXiv:2111.11358"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33011658"},{"key":"ref23","first-page":"136","article-title":"OptNet: Differentiable optimization as a layer in neural networks","volume-title":"Proc. Intl. Conf. Mach. Learn.","author":"Amos"},{"issue":"1","key":"ref24","first-page":"2909","article-title":"CVXPY: A Python-embedded modeling language for convex optimization","volume":"17","author":"Diamond","year":"2016","journal-title":"J. Mach. Learn. Res."},{"key":"ref25","article-title":"Differentiable convex optimization layers","author":"Agrawal","year":"2019","journal-title":"arXiv:1910.12430"},{"key":"ref26","first-page":"1","article-title":"Fit the right np-hard problem: End-to-end learning of integer programming constraints","volume-title":"Proc. Learn. Meets Combinat. Algorithms NeurIPS","author":"Paulus"},{"key":"ref27","first-page":"2858","article-title":"Decision trees for decision-making under the predict-then-optimize framework","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Elmachtoub"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i02.5521"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2014.2303986"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2020.09.014"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2021.05.003"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.2020.3741"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.omega.2022.102687"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32177-2_25"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-34312-5_3"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-34312-5_2"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-34312-5_10"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1057\/palgrave.jors.2601625"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/S0305-0548(96)00029-9"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2018.1474472"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1023\/A:1023347000978"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2008.10.003"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2012.03.014"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2009.04.024"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/10659279\/10504737.pdf?arnumber=10504737","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T04:05:09Z","timestamp":1725163509000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10504737\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":44,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tits.2024.3385029","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9]]}}}