{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:45:07Z","timestamp":1740102307387,"version":"3.37.3"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,9,11]],"date-time":"2023-09-11T00:00:00Z","timestamp":1694390400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,11]],"date-time":"2023-09-11T00:00:00Z","timestamp":1694390400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,9,11]]},"DOI":"10.1109\/secon58729.2023.10287448","type":"proceedings-article","created":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T17:57:08Z","timestamp":1698083828000},"page":"429-437","source":"Crossref","is-referenced-by-count":0,"title":["A Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing"],"prefix":"10.1109","author":[{"given":"Yang","family":"Zhang","sequence":"first","affiliation":[{"name":"University of Illinois Urbana-Champaign,School of Information Sciences,Champaign,IL,USA"}]},{"given":"Ruohan","family":"Zong","sequence":"additional","affiliation":[{"name":"University of Illinois Urbana-Champaign,School of Information Sciences,Champaign,IL,USA"}]},{"given":"Lanyu","family":"Shang","sequence":"additional","affiliation":[{"name":"University of Illinois Urbana-Champaign,School of Information Sciences,Champaign,IL,USA"}]},{"given":"Huimin","family":"Zeng","sequence":"additional","affiliation":[{"name":"University of Illinois Urbana-Champaign,School of Information Sciences,Champaign,IL,USA"}]},{"given":"Zhenrui","family":"Yue","sequence":"additional","affiliation":[{"name":"University of Illinois Urbana-Champaign,School of Information Sciences,Champaign,IL,USA"}]},{"given":"Dong","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Illinois Urbana-Champaign,School of Information Sciences,Champaign,IL,USA"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3383314"},{"key":"ref35","article-title":"Roberta: A robustly optimized bert pretraining approach","author":"liu","year":"2019","journal-title":"arXiv preprint arXiv 1907 11634"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2599532"},{"key":"ref34","article-title":"Electra: Pretraining text encoders as discriminators rather than generators","author":"clark","year":"2020","journal-title":"arXiv preprint arXiv 2003 11055"},{"key":"ref15","article-title":"Active learning for convolutional neural networks: A core-set approach","author":"sener","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1186\/s12864-019-6413-7"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"22022","DOI":"10.1088\/1742-6596\/1168\/2\/022022","article-title":"An overview of overfitting and its solutions","volume":"1168","author":"ying","year":"2019","journal-title":"Journal of Physics Conference Series"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00018"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/1281192.1281309"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-42337-1"},{"key":"ref11","article-title":"Collablearn: An uncertainty-aware crowd-ai collaboration system for cultural heritage damage assessment","author":"zhang","year":"2021","journal-title":"IEEE Transactions on Computational Social Systems"},{"key":"ref33","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2018","journal-title":"arXiv preprint arXiv 1810 04805"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-04198-3_14"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2019.102107"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijdrr.2019.101360"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1080\/17538947.2019.1670951"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-0208-z"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2019.00123"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300637"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/238"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682647"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijdrr.2020.101760"},{"key":"ref26","first-page":"8503","article-title":"Generate to adapt: Aligning domains using generative adversarial networks","author":"sankaranarayanan","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi9100605"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2018.2890173"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3555179"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583871"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2023\/701"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9006360"},{"key":"ref29","first-page":"1","article-title":"Hyperband: A novel bandit-based approach to hyperparameter optimization","volume":"18","author":"li","year":"2018","journal-title":"Journal of Machine Learning Research"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.203"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00041"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3487351.3488318"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ASONAM49781.2020.9381433"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ASONAM.2018.8508298"},{"key":"ref6","first-page":"18970","article-title":"Label-imbalanced and group-sensitive classification under overparameterization","volume":"34","author":"kini","year":"2021","journal-title":"Advances in neural information processing systems"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-020-00696-x"}],"event":{"name":"2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","start":{"date-parts":[[2023,9,11]]},"location":"Madrid, Spain","end":{"date-parts":[[2023,9,14]]}},"container-title":["2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10287388\/10287413\/10287448.pdf?arnumber=10287448","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,10]],"date-time":"2024-01-10T19:31:32Z","timestamp":1704915092000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10287448\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,11]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/secon58729.2023.10287448","relation":{},"subject":[],"published":{"date-parts":[[2023,9,11]]}}}