{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T07:03:45Z","timestamp":1766732625698,"version":"3.37.3"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Nature Science Foundation of Shanghai","award":["22ZR1441700"],"award-info":[{"award-number":["22ZR1441700"]}]},{"name":"National Key Research and Development Program of China","award":["2020YFB210430"],"award-info":[{"award-number":["2020YFB210430"]}]},{"name":"Major Key Project of Peng Cheng Laboratory","award":["PCL2021A15"],"award-info":[{"award-number":["PCL2021A15"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Mobile Comput."],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1109\/tmc.2023.3243955","type":"journal-article","created":{"date-parts":[[2023,2,10]],"date-time":"2023-02-10T19:40:09Z","timestamp":1676058009000},"page":"1888-1901","source":"Crossref","is-referenced-by-count":4,"title":["Green Edge Intelligence Scheme for Mobile Keyboard Emoji Prediction"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4254-8782","authenticated-orcid":false,"given":"Yinxu","family":"Tang","sequence":"first","affiliation":[{"name":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianfeng","family":"Hou","sequence":"additional","affiliation":[{"name":"Ant Group, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3391-6675","authenticated-orcid":false,"given":"Xi","family":"Huang","sequence":"additional","affiliation":[{"name":"Shenzhen Institute of Artificial Intellegence and Robotics for Society (AIRS), Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8774-1391","authenticated-orcid":false,"given":"Ziyu","family":"Shao","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0608-9408","authenticated-orcid":false,"given":"Yang","family":"Yang","sequence":"additional","affiliation":[{"name":"Terminus Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICC42927.2021.9500534"},{"key":"ref2","first-page":"8821","article-title":"Zero-shot text-to-image generation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ramesh"},{"article-title":"Photorealistic text-to-image diffusion models with deep language understanding","year":"2022","author":"Saharia","key":"ref3"},{"article-title":"Federated learning for emoji prediction in a mobile keyboard","year":"2019","author":"Ramaswamy","key":"ref4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/INDICON52576.2021.9691564"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2789168.2790107"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9322406"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.04.141"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2831347.2831354"},{"year":"2021","key":"ref10","article-title":"Use predictive text on iPhone"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2682318"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2928169"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.2200\/s00271ed1v01y201006cnt007"},{"key":"ref14","first-page":"1046","article-title":"Multi-armed bandit problems with history","volume-title":"Proc. Artif. Intell. Statist.","author":"Shivaswamy"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1508"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1169"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1214"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3184558.3186344"},{"key":"ref19","first-page":"11","article-title":"Emoji-aware attention-based Bi-directional GRU network model for chinese sentiment analysis","volume-title":"Proc. Int. Joint Conf. Artif. Intell.","author":"Li"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S18-1073"},{"author":"Ma","key":"ref21","article-title":"Emoji prediction: Extensions and benchmarking"},{"key":"ref22","first-page":"1","article-title":"Time to take emoji seriously: They vastly improve casual conversational models","volume-title":"Proc. 31st Benelux Conf. Artif. Intell.","author":"Delobelle"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S18-1080"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3308560.3316548"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S18-1062"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8463189"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S18-1061"},{"article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","year":"2018","author":"Devlin","key":"ref29"},{"key":"ref30","first-page":"128","article-title":"On-device neural language model based word prediction","volume-title":"Proc. Int. Conf. Comput. Linguistics","author":"Yu"},{"article-title":"Federated learning for mobile keyboard prediction","year":"2018","author":"Hard","key":"ref31"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2013.6549282"},{"key":"ref33","first-page":"14741","article-title":"Model selection for contextual bandits","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Foster"},{"key":"ref34","first-page":"10328","article-title":"Model selection in contextual stochastic bandit problems","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Pacchiano"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3079628.3079681"},{"article-title":"Online and scalable model selection with multi-armed bandits","year":"2021","author":"Xie","key":"ref36"},{"article-title":"Adaptive model selection framework: An application to airline pricing","year":"2019","author":"Shukla","key":"ref37"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/2693843"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-30436-1_21"},{"key":"ref41","first-page":"151","article-title":"Combinatorial multi-armed bandit: General framework, results and applications","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chen"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1561\/2200000068"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737461"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1963.10500830"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/BF02418571"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S18-1003"},{"issue":"3","key":"ref47","first-page":"61","article-title":"Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods","volume":"10","author":"Platt","year":"1999","journal-title":"Adv. Large Margin Classifiers"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1002\/widm.8"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.physd.2019.132306"},{"article-title":"RoBERTa: A robustly optimized BERT pretraining approach","year":"2019","author":"Liu","key":"ref50"},{"article-title":"Compressing deep convolutional networks using vector quantization","year":"2014","author":"Gong","key":"ref51"}],"container-title":["IEEE Transactions on Mobile Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7755\/10384453\/10042022.pdf?arnumber=10042022","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,25]],"date-time":"2024-06-25T21:23:38Z","timestamp":1719350618000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10042022\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":51,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tmc.2023.3243955","relation":{},"ISSN":["1536-1233","1558-0660","2161-9875"],"issn-type":[{"type":"print","value":"1536-1233"},{"type":"electronic","value":"1558-0660"},{"type":"electronic","value":"2161-9875"}],"subject":[],"published":{"date-parts":[[2024,2]]}}}