{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T23:12:45Z","timestamp":1773961965679,"version":"3.50.1"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"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":["62472405"],"award-info":[{"award-number":["62472405"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"research project of NetEase FUXI Laboratory"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Games"],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1109\/tg.2025.3601181","type":"journal-article","created":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T18:31:53Z","timestamp":1755801113000},"page":"44-55","source":"Crossref","is-referenced-by-count":0,"title":["DPBL: Denoised Player Behavior Representation Learning"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3258-1116","authenticated-orcid":false,"given":"Wenbin","family":"Li","sequence":"first","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1778-8319","authenticated-orcid":false,"given":"Di","family":"Yao","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zijie","family":"Xu","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chang","family":"Gong","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Quanliang","family":"Jing","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1017-5897","authenticated-orcid":false,"given":"Shiwei","family":"Zhao","sequence":"additional","affiliation":[{"name":"Fuxi AI Lab, NetEase Inc., HangZhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6986-5825","authenticated-orcid":false,"given":"Runze","family":"Wu","sequence":"additional","affiliation":[{"name":"Fuxi AI Lab, NetEase Inc., HangZhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1275-5972","authenticated-orcid":false,"given":"Haining","family":"Tan","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4367-0816","authenticated-orcid":false,"given":"Zhipeng","family":"Hu","sequence":"additional","affiliation":[{"name":"Fuxi AI Lab, NetEase Inc., HangZhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9858-809X","authenticated-orcid":false,"given":"Tangjie","family":"Lv","sequence":"additional","affiliation":[{"name":"Fuxi AI Lab, NetEase Inc., HangZhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5420-0516","authenticated-orcid":false,"given":"Changjie","family":"Fan","sequence":"additional","affiliation":[{"name":"Fuxi AI Lab, NetEase Inc., HangZhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9372-9410","authenticated-orcid":false,"given":"Jingping","family":"Bi","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512272"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539157"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59416-9_16"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TG.2022.3173399"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3171683"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3530012"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512275"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref9","article-title":"RoBERTa: A robustly optimized BERT pretraining approach","author":"Liu","year":"2019"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CoG47356.2020.9231585"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403316"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00079"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599759"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TG.2021.3067114"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.24425\/ijet.2024.152510"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3102254.3102263"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219925"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1613\/jair.279"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1002\/SERIES1345"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.29172\/7c2a6982-6d72-4cd8-bba6-2fccb06a7011"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2016.84"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2014.6932875"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/AIC61668.2024.10730924"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2024.3487974"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-024-10939-4"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-0716-2197-4_6"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462968"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512090"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482388"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/aiide.v11i1.12788"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2015.7317919"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9006031"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/462"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16527"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548767"},{"issue":"5","key":"ref37","first-page":"493","article-title":"Messy genetic algorithms: Motivation, analysis, and first results","volume":"3","author":"Goldberg","year":"1989","journal-title":"Complex Syst."},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-012-1281-5"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1609\/aiide.v11i5.12847"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/SBGAMES.2018.00029"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.174"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531810"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539156"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512077"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.5040\/9781501365072.13350"},{"key":"ref47","article-title":"Longformer: The Long-Document Transformer","author":"Beltagy","year":"2020"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3399711"},{"key":"ref49","article-title":"Deepseek-V3 Technical Report","year":"2024"}],"container-title":["IEEE Transactions on Games"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7782673\/11442848\/11134090.pdf?arnumber=11134090","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T20:09:22Z","timestamp":1773950962000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11134090\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":49,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tg.2025.3601181","relation":{},"ISSN":["2475-1502","2475-1510"],"issn-type":[{"value":"2475-1502","type":"print"},{"value":"2475-1510","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3]]}}}