{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T20:21:33Z","timestamp":1792786893662,"version":"4.5.0"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Natural Science Foundation of China","award":["42230806"],"award-info":[{"award-number":["42230806"]}],"id":[{"id":"https:\/\/ror.org\/01h0zpd94","id-type":"ROR","asserted-by":"crossref"}]},{"name":"China National Petroleum Corporation-Peking University Strategic Cooperation Project of Fundamental Research","id":[{"id":"https:\/\/ror.org\/02v51f717","id-type":"ROR","asserted-by":"crossref"}]},{"name":"Lagrange Mathematics and Computing Research Center"},{"name":"Huawei Technologies France"},{"name":"City University of Hong Kong"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1109\/tpami.2026.3704202","type":"journal-article","created":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T19:43:43Z","timestamp":1781639023000},"page":"13759-13766","source":"Crossref","is-referenced-by-count":2,"title":["No One-Size-Fits-All Neurons: Task-Based Neurons for Artificial Neural Networks"],"prefix":"10.1109","volume":"48","author":[{"given":"Feng-Lei","family":"Fan","sequence":"first","affiliation":[{"name":"City University of Hong Kong","place":["Kowloon, Hong Kong"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-9497-2224","authenticated-orcid":false,"given":"Meng","family":"Wang","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology","place":["Harbin, Heilongjiang Province, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4880-6762","authenticated-orcid":false,"given":"Hang-Cheng","family":"Dong","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology","place":["Harbin, Heilongjiang Province, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9803-0763","authenticated-orcid":false,"given":"Jianwei","family":"Ma","sequence":"additional","affiliation":[{"name":"Institue for Artificial Intelligece Peking University","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0688-202X","authenticated-orcid":false,"given":"Tieyong","family":"Zeng","sequence":"additional","affiliation":[{"name":"Beijing Normal-Hong Kong Baptist University","place":["Zhuhai, Guangdong, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2022.3148202"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-37180-x"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3058891"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04316-4"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9413207"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207535"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3259031"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-021-03941-1"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2311878121"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(90)90005-6"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1126\/science.1165893"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s44258-024-00042-2"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/nn.3658"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.510"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611976700.76"},{"key":"ref17","first-page":"503","article-title":"QuadraLib: A performant quadratic neural network library for architecture optimization and design exploration","volume-title":"Proc. Mach. Learn. Syst.","volume":"4","author":"Xu","year":"2022"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/cnm.2920"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3124328"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.cma.2023.116258"},{"key":"ref21","article-title":"Differentiable genetic programming for high-dimensional symbolic regression","author":"Zeng","year":"2023"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3017010"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3297978"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2023.06.046"},{"key":"ref25","first-page":"70367","article-title":"KAN: Kolmogorov-arnold networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Liu","year":"2025"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/1108.001.0001"},{"key":"ref27","first-page":"1","article-title":"Symbolic regression is NP-hard","volume":"10","author":"Virgolin","year":"2022","journal-title":"Trans. Mach. Learn. Res."},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1038\/s43588-025-00904-8"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref30","first-page":"3146","article-title":"LightGBM: A highly efficient gradient boosting decision tree","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Ke","year":"2017"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-020-00369-8"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16826"},{"key":"ref33","article-title":"TabTransormer: Tabular data modeling using contextual embeddings","author":"Huang","year":"2020"},{"key":"ref34","first-page":"18932","article-title":"Revisiting deep learning models for tabular data","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Gorishniy","year":"2021"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i4.20309"},{"key":"ref36","article-title":"Chebyshev polynomial-based Kolmogorov-Arnold Networks: An efficient architecture for nonlinear function approximation","author":"SS","year":"2024"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3746252.3760909"},{"key":"ref38","article-title":"Kolmogorov-Arnold Networks are radial basis function networks","author":"Li","year":"2024"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/34\/11674301\/11568692.pdf?arnumber=11568692","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T19:08:19Z","timestamp":1790622499000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11568692\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":38,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2026.3704202","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,10]]}}}