{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T01:38:07Z","timestamp":1772933887779,"version":"3.50.1"},"reference-count":45,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"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":[[2025,12,8]]},"DOI":"10.1109\/bigdata66926.2025.11401749","type":"proceedings-article","created":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T20:57:57Z","timestamp":1772830677000},"page":"1-10","source":"Crossref","is-referenced-by-count":0,"title":["Entropy-Driven Curriculum for Multi-Task Training in Human Mobility Prediction"],"prefix":"10.1109","author":[{"given":"Tianye","family":"Fang","sequence":"first","affiliation":[{"name":"Technical University of Munich,Munich,Germany"}]},{"given":"Xuanshu","family":"Luo","sequence":"additional","affiliation":[{"name":"Technical University of Munich,Munich,Germany"}]},{"given":"Martin","family":"Werner","sequence":"additional","affiliation":[{"name":"Technical University of Munich,Munich,Germany"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1126\/science.1177170"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2016.7840811"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1177\/23998083221075634"},{"key":"ref4","first-page":"2618","article-title":"Deeptransport: prediction and simulation of human mobility and transportation mode at a citywide level","volume-title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, ser. IJCAI\u201916","author":"Song"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s43588-023-00469-4"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2015.69"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MDM55031.2022.00063"},{"issue":"1","key":"ref8","article-title":"Predicting the next location: A recurrent model with spatial and temporal contexts","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","volume":"30","author":"Liu"},{"issue":"1","key":"ref9","article-title":"DeepUrbanMomentum: An online deep-learning system for short-term urban mobility prediction","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","volume":"32","author":"Jiang"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186058"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/324"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2501654.2501656"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2483669.2483682"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3615894.3628501"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.neucom.2017.05.101","article-title":"A hybrid markov-based model for human mobility prediction","volume":"278","author":"Qiao","year":"2018","journal-title":"Neurocomputing"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2937296"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3078499"},{"issue":"1","key":"ref18","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1038\/s41597-024-03237-9","article-title":"Yjmob100k: City-scale and longitudinal dataset of anonymized human mobility trajectories","volume":"11","author":"Yabe","year":"2024","journal-title":"Scientific Data"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3069908"},{"key":"ref20","article-title":"Self-paced learning for latent variable models","volume-title":"Advances in Neural Information Processing Systems","volume":"23","author":"Kumar","year":"2010"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553380"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1023\/a:1007379606734"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3006048"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102597"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1977.1055672"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1977.1055714"},{"key":"ref27","article-title":"Attention is all you need","volume-title":"Advances in Neural Information Processing Systems","volume":"30","author":"Vaswani","year":"2017"},{"key":"ref28","first-page":"4171","article-title":"BERT: Pretraining of deep bidirectional transformers for language understanding","volume-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)","author":"Devlin"},{"key":"ref29","volume-title":"HuMob-Challenge \u201923: Proceedings of the 1st International Workshop on the Human Mobility Prediction Challenge"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3681771"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3557915.3560951"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.1959.1104847"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3025580"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219931"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/BigData50022.2020.9378429"},{"issue":"12","key":"ref36","first-page":"14347","article-title":"Human mobility modeling during the COVID-19 pandemic via deep graph diffusion infomax","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","volume":"37","author":"Liu"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"129872","DOI":"10.1016\/j.physa.2024.129872","article-title":"Coupling graph neural networks and travel mode choice for human mobility prediction","volume":"646","author":"Wang","year":"2024","journal-title":"Physica A: Statistical Mechanics and its Applications"},{"key":"ref38","article-title":"An image is worth $16 \\times 16$ words: Transformers for image recognition at scale","volume-title":"International Conference on Learning Representations","author":"Dosovitskiy"},{"issue":"4","key":"ref39","first-page":"4668","article-title":"Easy begun is half done: Spatial-temporal graph modeling with st-curriculum dropout","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","volume":"37","author":"Wang"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/18.335943"},{"key":"ref41","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv preprint arXiv"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3615894.3628498"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3615894.3628499"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3615894.3628500"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3681771.3699908"}],"event":{"name":"2025 IEEE International Conference on Big Data (BigData)","location":"Macau, China","start":{"date-parts":[[2025,12,8]]},"end":{"date-parts":[[2025,12,11]]}},"container-title":["2025 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11400704\/11400712\/11401749.pdf?arnumber=11401749","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T06:54:27Z","timestamp":1772866467000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11401749\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,8]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/bigdata66926.2025.11401749","relation":{},"subject":[],"published":{"date-parts":[[2025,12,8]]}}}