{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T08:18:33Z","timestamp":1783153113798,"version":"3.54.6"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,4,13]]},"DOI":"10.1145\/3774904.3792461","type":"proceedings-article","created":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T12:38:33Z","timestamp":1777293513000},"page":"5484-5492","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["TRACE: Trajectory Recovery with State Propagation Diffusion for Urban Mobility"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-3314-9758","authenticated-orcid":false,"given":"Jinming","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Exeter, Exeter, Devon, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7317-507X","authenticated-orcid":false,"given":"Hai","family":"Wang","sequence":"additional","affiliation":[{"name":"Jingdong Logistics, Beijing, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1159-090X","authenticated-orcid":false,"given":"Hongkai","family":"Wen","sequence":"additional","affiliation":[{"name":"Department of Computer Science, The University of Warwick, Coventry, West Midlands, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1395-7314","authenticated-orcid":false,"given":"Geyong","family":"Min","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Exeter, Exeter, Devon, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7346-9024","authenticated-orcid":false,"given":"Man","family":"Luo","sequence":"additional","affiliation":[{"name":"Department of Computer Science, The University of Exeter, Exeter, Devon, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,4,12]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Juan Miguel Lopez Alcaraz and Nils Strodthoff. 2023. Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models. arXiv:2208.09399 [cs.LG]"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.03.120"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Yuqi Chen Hanyuan Zhang Weiwei Sun and Baihua Zheng. 2022. RNTrajRec: Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer. arXiv:2211.13234 [cs.LG]","DOI":"10.1109\/ICDE55515.2023.00069"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186058"},{"key":"e_1_3_2_1_5_1","unstructured":"Ian J. Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative Adversarial Networks. arXiv:1406.2661 [stat.ML]"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24797-2_2"},{"key":"e_1_3_2_1_7_1","volume-title":"Denoising Diffusion Probabilistic Models. CoRR","author":"Ho Jonathan","year":"2020","unstructured":"Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020. Denoising Diffusion Probabilistic Models. CoRR, Vol. abs\/2006.11239 (2020). arXiv:2006.11239 https:\/\/arxiv.org\/abs\/2006.11239"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CAC53003.2021.9728679"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25557"},{"key":"e_1_3_2_1_10_1","unstructured":"Diederik P Kingma and Max Welling. 2022. Auto-Encoding Variational Bayes. arXiv:1312.6114 [stat.ML]"},{"key":"e_1_3_2_1_11_1","unstructured":"Luping Liu Yi Ren Zhijie Lin and Zhou Zhao. 2022. Pseudo Numerical Methods for Diffusion Models on Manifolds. arXiv:2202.09778 [cs.CV] https:\/\/arxiv.org\/abs\/2202.09778"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/icde55515.2023.00150"},{"key":"e_1_3_2_1_13_1","volume-title":"RePaint: Inpainting using Denoising Diffusion Probabilistic Models. CoRR","author":"Lugmayr Andreas","year":"2022","unstructured":"Andreas Lugmayr, Martin Danelljan, Andr\u00e9s Romero, Fisher Yu, Radu Timofte, and Luc Van Gool. 2022. RePaint: Inpainting using Denoising Diffusion Probabilistic Models. CoRR, Vol. abs\/2201.09865 (2022), -. arXiv:2201.09865 https:\/\/arxiv.org\/abs\/2201.09865"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICC45855.2022.9838743"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/1653771.1653818"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467238"},{"key":"e_1_3_2_1_17_1","volume-title":"High-Resolution Image Synthesis with Latent Diffusion Models. CoRR","author":"Rombach Robin","year":"2021","unstructured":"Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Bj\u00f6rn Ommer. 2021. High-Resolution Image Synthesis with Latent Diffusion Models. CoRR, Vol. abs\/2112.10752 (2021), 1-10. arXiv:2112.10752 https:\/\/arxiv.org\/abs\/2112.10752"},{"key":"e_1_3_2_1_18_1","volume-title":"U-Net: Convolutional Networks for Biomedical Image Segmentation. CoRR","author":"Ronneberger Olaf","year":"2015","unstructured":"Olaf Ronneberger, Philipp Fischer, and Thomas Brox. 2015. U-Net: Convolutional Networks for Biomedical Image Segmentation. CoRR, Vol. abs\/1505.04597 (2015), 1-10. arXiv:1505.04597 http:\/\/arxiv.org\/abs\/1505.04597"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2023.3297115"},{"key":"e_1_3_2_1_20_1","volume-title":"Denoising Diffusion Implicit Models. CoRR","author":"Song Jiaming","year":"2020","unstructured":"Jiaming Song, Chenlin Meng, and Stefano Ermon. 2020a. Denoising Diffusion Implicit Models. CoRR, Vol. abs\/2010.02502 (2020), 1-10. arXiv:2010.02502 https:\/\/arxiv.org\/abs\/2010.02502"},{"key":"e_1_3_2_1_21_1","volume-title":"Score-based generative modeling through stochastic differential equations. arXiv preprint arXiv:2011.13456","author":"Song Yang","year":"2020","unstructured":"Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole. 2020b. Score-based generative modeling through stochastic differential equations. arXiv preprint arXiv:2011.13456, Vol. 1 (2020), -."},{"key":"e_1_3_2_1_22_1","volume-title":"CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation. arXiv:2107.03502 [cs.LG]","author":"Tashiro Yusuke","year":"2021","unstructured":"Yusuke Tashiro, Jiaming Song, Yang Song, and Stefano Ermon. 2021. CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation. arXiv:2107.03502 [cs.LG]"},{"key":"e_1_3_2_1_23_1","volume-title":"CoRR","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention Is All You Need. CoRR, Vol. abs\/1706.03762 (2017), 1-10. arXiv:1706.03762 http:\/\/arxiv.org\/abs\/1706.03762"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2940950"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2940950"},{"key":"e_1_3_2_1_26_1","unstructured":"Tonglong Wei Youfang Lin Shengnan Guo Yan Lin Yiheng Huang Chenyang Xiang Yuqing Bai Menglu Ya and Huaiyu Wan. 2024. Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation. arXiv:2402.07369 [cs.LG] https:\/\/arxiv.org\/abs\/2402.07369"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3615660"},{"key":"e_1_3_2_1_28_1","volume-title":"Yu","author":"Zhu Yuanshao","year":"2023","unstructured":"Yuanshao Zhu, Yongchao Ye, Shiyao Zhang, Xiangyu Zhao, and James J. Q. Yu. 2023. DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model. arXiv:2304.11582 [cs.LG]"},{"key":"e_1_3_2_1_29_1","volume-title":"Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, and Yuxuan Liang.","author":"Zhu Yuanshao","year":"2024","unstructured":"Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, and Yuxuan Liang. 2024. ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model. arXiv:2404.15380 [cs.LG] https:\/\/arxiv.org\/abs\/2404.15380"}],"event":{"name":"WWW '26: The ACM Web Conference 2026","location":"Dubai United Arab Emirates","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM Web Conference 2026"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3774904.3792461","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T07:47:49Z","timestamp":1783151269000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3774904.3792461"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,12]]},"references-count":29,"alternative-id":["10.1145\/3774904.3792461","10.1145\/3774904"],"URL":"https:\/\/doi.org\/10.1145\/3774904.3792461","relation":{},"subject":[],"published":{"date-parts":[[2026,4,12]]},"assertion":[{"value":"2026-04-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}