{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T18:48:18Z","timestamp":1755802098395,"version":"3.44.0"},"reference-count":44,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T00:00:00Z","timestamp":1747612800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T00:00:00Z","timestamp":1747612800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,5,19]]},"DOI":"10.1109\/icde65448.2025.00115","type":"proceedings-article","created":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T18:28:25Z","timestamp":1755714505000},"page":"1483-1495","source":"Crossref","is-referenced-by-count":0,"title":["Universal Set Similarity Search via Multi-Task Representation Learning"],"prefix":"10.1109","author":[{"given":"Zhong","family":"Yang","sequence":"first","affiliation":[{"name":"Huazhong University of Science and Technology,Wuhan,China"}]},{"given":"Bolong","family":"Zheng","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology,Wuhan,China"}]},{"given":"Guohui","family":"Li","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology,Wuhan,China"}]},{"given":"Xi","family":"Zhao","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology,Hong Kong,China"}]},{"given":"Xiaofang","family":"Zhou","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology,Hong Kong,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-015-5900-5"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242591"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2017.127"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2886189"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.14778\/2994509.2994534"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741285"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380069"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM54844.2022.00125"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1025"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3070203"},{"key":"ref11","article-title":"Smoothing the geometry of probabilistic box embeddings","author":"Li","year":"2019","journal-title":"ICLR. OpenRe-view. net"},{"key":"ref12","first-page":"793","article-title":"Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks","volume-title":"ICML, ser. Proceedings of Machine Learning Research","volume":"80","author":"Chen","year":"2018"},{"key":"ref13","first-page":"7482","article-title":"Multi-task learning using uncer-tainty to weigh losses for scene geometry and semantics","volume-title":"CVPR. Computer Vision Foundation \/ IEEE Computer Society","author":"Kendall","year":"2018"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00197"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/tbdata.2019.2921572"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2023.3310239"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.566"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i7.20746"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.160"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645577"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591654"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512073"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.161"},{"journal-title":"NeurIPS, 2020","article-title":"Improving local identifiability in probabilistic box embeddings","author":"Dasgupta","key":"ref24"},{"key":"ref25","first-page":"142","article-title":"Boosted multi-task learning for face verification with applications to web image and video search","volume-title":"CVPR","author":"Wang","year":"2009"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btt245"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390177"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-019-01406-6"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220007"},{"key":"ref30","first-page":"525","article-title":"Multi-task learning as multi-objective opti-mization","author":"Sener","year":"2018","journal-title":"NeurIPS"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2011.5767856"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2008.4497434"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2012.79"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2756932"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/2213836.2213847"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/2000824.2000825"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-018-0529-2"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.14778\/2856318.2856330"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3183748"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3055399.3055443"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974331.ch1"},{"issue":"11","key":"ref42","first-page":"2073","article-title":"LES3: learning-based exact set similarity search","volume-title":"Proc. VLDB Endow.","volume":"14","author":"Li","year":"2021"},{"key":"ref43","first-page":"3744","article-title":"Set transformer: A framework for attention-based permutation-invariant neural networks","volume-title":"ICML, ser. Proceedings of Machine Learning Research","volume":"97","author":"Lee","year":"2019"},{"key":"ref44","first-page":"3391","article-title":"Deep sets","volume-title":"NIPS","author":"Zaheer","year":"2017"}],"event":{"name":"2025 IEEE 41st International Conference on Data Engineering (ICDE)","start":{"date-parts":[[2025,5,19]]},"location":"Hong Kong, Hong Kong","end":{"date-parts":[[2025,5,23]]}},"container-title":["2025 IEEE 41st International Conference on Data Engineering (ICDE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11112833\/11112834\/11112956.pdf?arnumber=11112956","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T05:10:57Z","timestamp":1755753057000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11112956\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,19]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/icde65448.2025.00115","relation":{},"subject":[],"published":{"date-parts":[[2025,5,19]]}}}