{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T15:52:31Z","timestamp":1774367551614,"version":"3.50.1"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2024YFE0202900"],"award-info":[{"award-number":["2024YFE0202900"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002920","name":"RGC GRF","doi-asserted-by":"publisher","award":["12300125"],"award-info":[{"award-number":["12300125"]}],"id":[{"id":"10.13039\/501100002920","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010902","name":"Joint NSFC and RGC","doi-asserted-by":"publisher","award":["N-HKU769\/21"],"award-info":[{"award-number":["N-HKU769\/21"]}],"id":[{"id":"10.13039\/501100010902","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001459","name":"Singapore Ministry of Education AcRF Tier 2","doi-asserted-by":"publisher","award":["A-8000423-00-00"],"award-info":[{"award-number":["A-8000423-00-00"]}],"id":[{"id":"10.13039\/501100001459","id-type":"DOI","asserted-by":"publisher"}]},{"name":"AcRF Tier 1","award":["A-8000980-00-00"],"award-info":[{"award-number":["A-8000980-00-00"]}]},{"name":"AcRF Tier 1","award":["A-8002934-00-00"],"award-info":[{"award-number":["A-8002934-00-00"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Signal Process."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tsp.2025.3588910","type":"journal-article","created":{"date-parts":[[2025,7,14]],"date-time":"2025-07-14T17:44:48Z","timestamp":1752515088000},"page":"3107-3123","source":"Crossref","is-referenced-by-count":3,"title":["Low Tensor-Rank Adaptation of Kolmogorov\u2013Arnold Networks"],"prefix":"10.1109","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8883-7769","authenticated-orcid":false,"given":"Yihang","family":"Gao","sequence":"first","affiliation":[{"name":"Department of Mathematics, National University of Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6833-5227","authenticated-orcid":false,"given":"Michael K.","family":"Ng","sequence":"additional","affiliation":[{"name":"Department of Mathematics, Hong Kong Baptist University, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5008-4527","authenticated-orcid":false,"given":"Vincent Y. F.","family":"Tan","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Department of Electrical and Computer Engineering, National University of Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"KAN: Kolmogorov\u2013Arnold networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Liu","year":"2025"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i5.32491"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.23919\/ICCAS63016.2024.10773080"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.cma.2024.117518"},{"key":"ref5","article-title":"SPIKANs: Separable physics-informed Kolmogorov-Arnold networks","author":"Jacob","year":"2024"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cma.2024.117290"},{"key":"ref7","article-title":"A comprehensive survey on Kolmogorov Arnold Networks (KAN)","author":"Hou","year":"2024"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3743128"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/s24237683"},{"key":"ref10","article-title":"KAN-AD: Time series anomaly detection with Kolmogorov-Arnold networks","author":"Zhou","year":"2024"},{"key":"ref11","article-title":"On the expressiveness and spectral bias of KANs","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Wang","year":"2025"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/icassp49660.2025.10890471"},{"key":"ref13","article-title":"Finite basis Kolmogorov-Arnold networks: Domain decomposition for data-driven and physics-informed problems","author":"Howard","year":"2024"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3504962"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1140\/epjqt\/s40507-024-00289-z"},{"key":"ref16","article-title":"Convolutional Kolmogorov-Arnold networks","author":"Bodner","year":"2024"},{"key":"ref17","article-title":"Kolmogorov-Arnold convolutions: Design principles and empirical studies","author":"Drokin","year":"2024"},{"key":"ref18","article-title":"Chebyshev polynomial-based Kolmogorov-Arnold networks: An efficient architecture for nonlinear function approximation","author":"SS","year":"2024"},{"key":"ref19","article-title":"Legendre-KAN: High accuracy KA network based on Legendre polynomials","author":"Chen","year":"2025"},{"key":"ref20","article-title":"FourierKAN-GCF: Fourier Kolmogorov-Arnold network\u2013An effective and efficient feature transformation for graph collaborative filtering","author":"Xu","year":"2024"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.4835325"},{"key":"ref22","article-title":"Exploring the potential of polynomial basis functions in Kolmogorov-Arnold networks: A comparative study of different groups of polynomials","author":"Seydi","year":"2024"},{"key":"ref23","article-title":"rKAN: Rational Kolmogorov-Arnold networks","author":"Aghaei","year":"2024"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2025.129414"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3046038"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2897316"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2586759"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3066551"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/78.978374"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2690524"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2698369"},{"issue":"3","key":"ref32","first-page":"122","article-title":"Implications of factor analysis of three-way matrices for measurement of change","volume":"15","author":"Tucker","year":"1963","journal-title":"Problems Measuring Change"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1002\/1099-128X(200005\/06)14:3<105::AID-CEM582>3.0.CO;2-I"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1002\/nla.2299"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.laa.2010.09.020"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/BF02293596"},{"issue":"3044","key":"ref37","article-title":"PARAFAC2: Mathematical and technical notes","volume-title":"Proc. UCLA Working Papers Phonetics","volume":"22","author":"Harshman","year":"1972"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1137\/s0895479896305696"},{"key":"ref39","article-title":"Speeding-up convolutional neural networks using fine-tuned CP-decomposition","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Lebedev","year":"2015"},{"key":"ref40","article-title":"Compression of deep convolutional neural networks for fast and low power mobile applications","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kim","year":"2016"},{"key":"ref41","article-title":"Convolutional neural networks with low-rank regularization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Tai","year":"2016"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2013.2297439"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1137\/07070111X"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007379606734"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3070203"},{"key":"ref46","article-title":"Domain adaptation with multiple sources","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"21","author":"Mansour","year":"2008"},{"key":"ref47","first-page":"256","article-title":"Frustratingly easy domain adaptation","volume-title":"Proc. 45th Annu. Meeting Assoc. Comput. Linguistics","author":"Daum\u00e9","year":"2007"},{"key":"ref48","article-title":"LoRA: Low-rank adaptation of large language models","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Hu","year":"2022"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2018.10.045"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2021.110444"},{"key":"ref51","article-title":"Bayesian low-rank adaptation for large language models","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Yang","year":"2024"},{"key":"ref52","article-title":"Adaptive budget allocation for parameter-efficient fine-tuning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zhang","year":"2023"},{"key":"ref53","article-title":"LoRA+: Efficient low rank adaptation of large models","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Hayou","year":"2024"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.568"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref56","article-title":"KAN or MLP: A fairer comparison","author":"Yu","year":"2024"}],"container-title":["IEEE Transactions on Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/78\/10807692\/11080085.pdf?arnumber=11080085","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,18]],"date-time":"2025-08-18T19:49:09Z","timestamp":1755546549000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11080085\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":56,"URL":"https:\/\/doi.org\/10.1109\/tsp.2025.3588910","relation":{},"ISSN":["1053-587X","1941-0476"],"issn-type":[{"value":"1053-587X","type":"print"},{"value":"1941-0476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}