{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T08:46:23Z","timestamp":1784709983011,"version":"3.55.0"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"14","license":[{"start":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T00:00:00Z","timestamp":1752537600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T00:00:00Z","timestamp":1752537600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T00:00:00Z","timestamp":1752537600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Science, Technology and Innovation Project of Xiongan New Area","award":["2022XAGG0114"],"award-info":[{"award-number":["2022XAGG0114"]}]},{"name":"JST ASPIRE","award":["JPMJAP2325"],"award-info":[{"award-number":["JPMJAP2325"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2025,7,15]]},"DOI":"10.1109\/jiot.2025.3559407","type":"journal-article","created":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T13:56:18Z","timestamp":1744206978000},"page":"26371-26386","source":"Crossref","is-referenced-by-count":2,"title":["Autonomous Driving via Brain-Inspired Causality-Aware Contrastive Learning With Time\u2013Frequency Prediction"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1910-6297","authenticated-orcid":false,"given":"Chengyu","family":"Wang","sequence":"first","affiliation":[{"name":"Beijing Key Laboratory of Network System Architecture and Convergence and the Beijing Laboratory of Advanced Information Networks, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7056-5416","authenticated-orcid":false,"given":"Luhan","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Network System Architecture and Convergence and the Beijing Laboratory of Advanced Information Networks, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0182-1770","authenticated-orcid":false,"given":"Zhaoming","family":"Lu","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Network System Architecture and Convergence and the Beijing Laboratory of Advanced Information Networks, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6853-5878","authenticated-orcid":false,"given":"Celimuge","family":"Wu","sequence":"additional","affiliation":[{"name":"Meta-Networking Research Center, The University of Electro-Communications, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8271-0246","authenticated-orcid":false,"given":"Guochu","family":"Shou","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Network System Architecture and Convergence and the Beijing Laboratory of Advanced Information Networks, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2793-6696","authenticated-orcid":false,"given":"Xiangming","family":"Wen","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Network System Architecture and Convergence and the Beijing Laboratory of Advanced Information Networks, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1","article-title":"TACO: Temporal latent action-driven contrastive loss for visual reinforcement learning","volume-title":"Proc. 37th Conf. Neural Inf. Process. Syst.","volume":"36","author":"Zheng"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3362851"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3244756"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3304890"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-00237-3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3090866"},{"key":"ref7","first-page":"1","article-title":"Task-induced representation learning","volume-title":"Proc. 10th Int. Conf. Learn. Represent. (ICLR)","author":"Yamada"},{"key":"ref8","article-title":"Mastering diverse domains through world models","author":"Hafner","year":"2023","journal-title":"arXiv:2301.04104"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.5555\/3495724.3497510"},{"key":"ref10","first-page":"9870","article-title":"Decoupling representation learning from reinforcement learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Stooke"},{"key":"ref11","article-title":"Mastering visual continuous control: Improved data-augmented reinforcement learning","author":"Yarats","year":"2021","journal-title":"arXiv:2107.09645"},{"key":"ref12","first-page":"1","article-title":"Causal reinforcement learning: A survey","volume-title":"Proc. Trans. Mach. Learn. Res.","author":"Deng"},{"key":"ref13","first-page":"9260","article-title":"Action-sufficient state representation learning for control with structural constraints","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Huang"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3103320"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3307002"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3046646"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2024.3379805"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3266247"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3048050"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/tiv.2024.3412916"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17276"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793742"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3149891"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.2307\/j.ctt4cgngj.10"},{"key":"ref25","first-page":"4182","article-title":"Data-efficient image recognition with contrastive predictive coding","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Henaff"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-022-00556-7"},{"key":"ref27","first-page":"1","article-title":"Neural ordinary differential equations","volume-title":"Proc. 32nd. Neural Inf. Process. Syst.","volume":"31","author":"Chen"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i9.16936"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1312.6114"},{"key":"ref30","first-page":"1","article-title":"Dream to control: Learning Behaviors by latent imagination","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Hafner"},{"key":"ref31","first-page":"1","article-title":"Mastering Atari with discrete world models","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Hafner"},{"key":"ref32","first-page":"1","article-title":"Learning invariant representations for reinforcement learning without reconstruction","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Zhang"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00393"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref36","article-title":"Representation learning with contrastive predictive coding","author":"Oord","year":"2018","journal-title":"arXiv:1807.03748"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2024.3430236"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/tccn.2024.3508777"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2024.3504489"},{"key":"ref40","article-title":"Fourier controller networks for real-time decision-making in embodied learning","author":"Tan","year":"2024","journal-title":"arXiv:2405.19885"},{"key":"ref41","first-page":"1","article-title":"State sequences prediction via fourier transform for representation learning","volume-title":"Proc. 37th Conf. Neural Inf. Process. Syst.","volume":"36","author":"Ye"},{"key":"ref42","first-page":"1","article-title":"AdaRL: What, where, and how to adapt in transfer reinforcement learning","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Huang"},{"key":"ref43","first-page":"741","article-title":"Stochastic latent actor-critic: Deep reinforcement learning with a latent variable model","volume-title":"Proc. 34th Conf. Neural Inf. Process. Syst.","volume":"33","author":"Lee"},{"key":"ref44","volume-title":"Elements of Causal Inference: Foundations and Learning Algorithms","author":"Peters","year":"2017"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1201\/9780203749319"},{"key":"ref46","first-page":"12425","article-title":"Causal navigation by continuous-time neural networks","volume-title":"Proc. 35th Conf. Neural Inf. Process. Syst.","volume":"34","author":"Vorbach"},{"key":"ref47","article-title":"Addressing function approximation error in actor-critic methods","author":"Fujimoto","year":"2018","journal-title":"arXiv:1802.09477"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3475390"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3379471"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3250720"},{"key":"ref51","volume-title":"Gym-carla","year":"2020"},{"key":"ref52","volume-title":"Methods in Neuronal Modeling: From Ions to Networks","author":"Koch","year":"1998"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/S1053-8119(03)00202-7"},{"key":"ref54","first-page":"1","article-title":"CARLA: An open urban driving simulator","volume-title":"Proc. Conf. Robot Learn.","author":"Dosovitskiy"},{"key":"ref55","volume-title":"Implementation of the Pure Pursuit Path Tracking Algorithm","author":"Coulter","year":"1992"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.62.1805"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11074249\/10960432.pdf?arnumber=10960432","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,9]],"date-time":"2025-07-09T23:21:52Z","timestamp":1752103312000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10960432\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,15]]},"references-count":57,"journal-issue":{"issue":"14"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2025.3559407","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,15]]}}}