{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T17:17:29Z","timestamp":1769188649800,"version":"3.49.0"},"reference-count":67,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,2]]},"DOI":"10.23919\/icact48636.2020.9061335","type":"proceedings-article","created":{"date-parts":[[2020,4,10]],"date-time":"2020-04-10T00:06:01Z","timestamp":1586477161000},"page":"94-103","source":"Crossref","is-referenced-by-count":17,"title":["User Mobility Synthesis based on Generative Adversarial Networks: A Survey"],"prefix":"10.23919","author":[{"given":"Seungjae","family":"Shin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongseok","family":"Jeon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunglae","family":"Cho","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seunghyun","family":"Yoon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Taeyeon","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Real-valued (medical) time series generation with recurrent conditional GANs","author":"esteban","year":"2017","journal-title":"CoRR vol abs\/1706 02633"},{"key":"ref38","article-title":"Conditional generative adversarial nets","volume":"abs 1411 1784","author":"mirza","year":"2014","journal-title":"CoRR"},{"key":"ref33","article-title":"Semi-supervised learning with generative adversarial networks","volume":"abs 1606 1583","author":"odena","year":"2016","journal-title":"ArXiv"},{"key":"ref32","article-title":"Generative models for simulating mobility trajectories","volume":"abs 1811 12801","author":"kulkarni","year":"2018","journal-title":"CoRR"},{"key":"ref31","article-title":"trajGANs: Using generative adversarial networks for geo-privacy protection of trajectory data","author":"liu","year":"0","journal-title":"Location Privacy and Security Workshop"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/9203076"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref36","author":"radford","year":"2015","journal-title":"Unsupervised Representation learning with deep convolutional generative adversarial networks CoRR"},{"key":"ref35","first-page":"5767","article-title":"Improved training of Wasserstein GANs","author":"gulrajani","year":"0","journal-title":"Proc NIPS 30 2017"},{"key":"ref34","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume":"70","author":"arjovsky","year":"0","journal-title":"Proc ICML"},{"key":"ref60","first-page":"4189","article-title":"Recurrent highway networks","volume":"70","author":"zilly","year":"2017","journal-title":"Proc ICML"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.3150\/15-BEJ798"},{"key":"ref61","article-title":"Pointer sentinel mixture models","author":"merity","year":"2016","journal-title":"CoRR vol abs\/1609 07843"},{"key":"ref63","first-page":"644","author":"loss","year":"2003","journal-title":"Introduction to Probability Models"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00240"},{"key":"ref64","author":"laurila","year":"2012","journal-title":"The mobile data challenge Big data for mobile computing research"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.4218\/etrij.2018-0473"},{"key":"ref65","first-page":"723","article-title":"A kernel two-sample test","volume":"13","author":"gretton","year":"2012","journal-title":"J Machine Learning Res"},{"key":"ref66","article-title":"Understanding recurrent neural architectures by analyzing and synthesizing long distance dependencies in benchmark sequential datasets","author":"mahalunkar","year":"2018","journal-title":"CoRR vol abs\/1810 02966"},{"key":"ref29","first-page":"3812","article-title":"A nonparametric generative model for human trajectories","author":"ouyang","year":"0","journal-title":"Proc IJCAI"},{"key":"ref67","article-title":"Knock knock, who's there? membership inference on aggregate location data","author":"pyrgelis","year":"2017","journal-title":"CoRR vol abs\/1708 06145"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3331651.3331653"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3191746"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/nature24270"},{"key":"ref22","article-title":"Deep learning techniques for music generation - a survey","volume":"abs 1709 1620","author":"briot","year":"2017","journal-title":"CoRR"},{"key":"ref21","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"0","journal-title":"Proc of NIPS 27"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2017.7510583"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.23919\/TST.2017.8195348"},{"key":"ref26","article-title":"Generative adversarial networks: A survey and taxonomy","author":"wang","year":"2019","journal-title":"CoRR vol abs\/1906 01529"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2905015"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/MOBIQ.2004.1331705"},{"key":"ref51","first-page":"2618","article-title":"Deeptransport: Prediction and simulation of human mobility and transportation mode at a citywide level","author":"song","year":"0","journal-title":"Proc IJCAI"},{"key":"ref59","author":"karpathy","year":"2016","journal-title":"Char-rnn"},{"key":"ref58","author":"chung","year":"2014","journal-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052620"},{"key":"ref56","author":"piorkowski","year":"2009","journal-title":"CRAW- DAD dataset epfi\/mobility (v 2009-02-24)"},{"key":"ref55","first-page":"61","article-title":"The where and when of finding new friends: Analysis of a location-based social discovery network","author":"chen","year":"0","journal-title":"Seventh International AAAI Conf on Weblogs and Social Media"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-79228-4_1"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/2508859.2516735"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2016.39"},{"key":"ref10","first-page":"128","article-title":"Recent development and applications of SUMO - simulation of urban mobility","volume":"5","author":"krajzewicz","year":"2012","journal-title":"International Journal on Advances in Systems and Measurements"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2014.01.010"},{"key":"ref40","first-page":"2852","article-title":"SeqGAN: Sequence generative adversarial nets with policy gradient","author":"yu","year":"0","journal-title":"Proc Thirty-First AAAI Conf Artif Intell"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2782759.2782764"},{"key":"ref13","first-page":"38: 1","article-title":"Data-driven human mobility modeling: a survey and engineering guidance for mobile networking","volume":"48","author":"hess","year":"2015","journal-title":"ACM Comput Surv"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1134\/S1054661816010065"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3042064"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.4218\/etrij.2018-0520"},{"key":"ref17","first-page":"92:1","article-title":"A survey on deep learning: algorithms, techniques, and applications","volume":"51","author":"pouyanfar","year":"2018","journal-title":"ACM Comput Surv"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.05.033"},{"key":"ref19","article-title":"Playing atari with deep reinforcement learning","author":"mnih","year":"0","journal-title":"NIPS Deep Learning Workshop"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/wcm.72"},{"key":"ref3","author":"davies","year":"2000","journal-title":"Evaluating mobility models within an ad hoc network"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2009.090403"},{"key":"ref5","first-page":"82","article-title":"Mo-biSim: A Framework for Simulation of Mobility Models in Mobile Ad-Hoc Networks","author":"mousavi","year":"0","journal-title":"Third IEEE Int'l Conf on Wireless and Mobile Comput Netw and Commun"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1183471.1183498"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2632048.2636068"},{"key":"ref49","first-page":"247","article-title":"Quan-tifying location privacy","author":"shokri","year":"0","journal-title":"Proc IEEE S&P"},{"key":"ref9","first-page":"63","article-title":"Sumo - simulation of urban mobility: An overview","author":"behrisch","year":"0","journal-title":"Proc The Third Int'l Conf Adv Syst Simul"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.453"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15549-9_33"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2004.1357026"},{"key":"ref47","article-title":"To-wards rich mobile phone datasets: Lausanne data collection campaign","author":"kiukkonen","year":"0","journal-title":"Proc Pervasive Services IEEE International Conference on"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2582924"},{"key":"ref41","author":"sutton","year":"2018","journal-title":"Introduction to Reinforcement Learning"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639346"}],"event":{"name":"2020 22nd International Conference on Advanced Communication Technology (ICACT)","location":"Phoenix Park, PyeongChang,, Korea (South)","start":{"date-parts":[[2020,2,16]]},"end":{"date-parts":[[2020,2,19]]}},"container-title":["2020 22nd International Conference on Advanced Communication Technology (ICACT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9046057\/9061230\/09061335.pdf?arnumber=9061335","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,11]],"date-time":"2020-05-11T20:38:13Z","timestamp":1589229493000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9061335\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2]]},"references-count":67,"URL":"https:\/\/doi.org\/10.23919\/icact48636.2020.9061335","relation":{},"subject":[],"published":{"date-parts":[[2020,2]]}}}