{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T17:11:00Z","timestamp":1789837860939,"version":"4.0.1"},"reference-count":44,"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:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"BK21 Four project of the National Research Foundation of Korea"},{"name":"IITP(Institute of Information & Coummunications Technology Planning & Evaluation)-ITR","award":["IITP-2025-RS-2024-00436857"],"award-info":[{"award-number":["IITP-2025-RS-2024-00436857"]}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["RS-2024-00451162"],"award-info":[{"award-number":["RS-2024-00451162"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["RS-2025-00560367"],"award-info":[{"award-number":["RS-2025-00560367"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Institute of Information & communications Technology Planning & Evaluation","award":["IITP-2025-RS-2025-02304828"],"award-info":[{"award-number":["IITP-2025-RS-2025-02304828"]}]},{"name":"Institute of Information & communications Technology Planning & Evaluation","award":["RS-2019-II190079"],"award-info":[{"award-number":["RS-2019-II190079"]}]},{"name":"Institute of Information & communications Technology Planning & Evaluation","award":["RS-2022-II220311"],"award-info":[{"award-number":["RS-2022-II220311"]}]},{"name":"Institute of Information & communications Technology Planning & Evaluation","award":["RS-2024-00457882"],"award-info":[{"award-number":["RS-2024-00457882"]}]},{"name":"Institute of Information & communications Technology Planning & Evaluation","award":["RS-2025-25410841"],"award-info":[{"award-number":["RS-2025-25410841"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3618829","type":"journal-article","created":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T17:49:41Z","timestamp":1759859381000},"page":"176874-176884","source":"Crossref","is-referenced-by-count":1,"title":["A Diffusion-Based Framework for Decoupling Capacitor Placement Optimization"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1917-7733","authenticated-orcid":false,"given":"Seong-Hyun","family":"Hong","sequence":"first","affiliation":[{"name":"Department of Aritificial Intelligence, Korea University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2881-3006","authenticated-orcid":false,"given":"Jinho","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Aritificial Intelligence, Korea University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0684-607X","authenticated-orcid":false,"given":"Byung-Jun","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Aritificial Intelligence, Korea University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-021-03544-w"},{"key":"ref2","article-title":"Chip placement with deep reinforcement learning","author":"Mirhoseini","year":"2020","journal-title":"arXiv:2004.10746"},{"key":"ref3","first-page":"1","article-title":"VLSI placement parameter optimization using deep reinforcement learning","volume-title":"Proc. 39th Int. Conf. Comput.-Aided Design","author":"Agnesina"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3380446.3430629"},{"key":"ref5","first-page":"18346","article-title":"ChiPFormer: Transferable chip placement via offline decision transformer","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Lai"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS45731.2020.9181149"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.vlsi.2020.11.006"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ASP-DAC47756.2020.9045559"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.23919\/DATE54114.2022.9774632"},{"key":"ref10","first-page":"16508","article-title":"On joint learning for solving placement and routing in chip design","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Cheng"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/78.650093"},{"key":"ref12","first-page":"2692","article-title":"Pointer networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Vinyals"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref14","first-page":"21188","article-title":"POMO: Policy optimization with multiple optima for reinforcement learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Kwon"},{"key":"ref15","article-title":"Grid search, random search, genetic algorithm: A big comparison for NAS","author":"Liashchynskyi","year":"2019","journal-title":"arXiv:1912.06059"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1126\/science.220.4598.671"},{"key":"ref17","first-page":"36","volume-title":"Genetic Algorithms in Search, Optimization and Machine Learning","author":"Goldberg","year":"1989"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3451179"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.vlsi.2023.06.002"},{"key":"ref20","article-title":"Attention, learn to solve routing problems!","author":"Kool","year":"2018","journal-title":"arXiv:1803.08475"},{"key":"ref21","first-page":"16541","article-title":"DevFormer: A symmetric transformer for context-aware device placement","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Kim"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/6040.784476"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TEMC.2017.2746677"},{"key":"ref24","first-page":"17981","article-title":"Structured denoising diffusion models in discrete state-spaces","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Austin"},{"key":"ref25","article-title":"DiGress: Discrete denoising diffusion for graph generation","author":"Vignac","year":"2022","journal-title":"arXiv:2209.14734"},{"key":"ref26","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ho"},{"key":"ref27","article-title":"Argmax flows and multinomial diffusion: Learning categorical distributions","author":"Hoogeboom","year":"2021","journal-title":"arXiv:2102.05379"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1312.6114"},{"key":"ref29","article-title":"Unsupervised training of diffusion models for feasible solution generation in neural combinatorial optimization","author":"Hong","year":"2024","journal-title":"arXiv:2411.00003"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s10601-022-09327-y"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.5555\/3045118.3045167"},{"key":"ref32","article-title":"How powerful are graph neural networks?","author":"Xu","year":"2018","journal-title":"arXiv:1810.00826"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCPMT.2019.2930565"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TMTT.2021.3087188"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TCPMT.2020.2972019"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/EMCSI38923.2020.9191512"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/EPEPS51341.2021.9609194"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TMTT.2022.3202221"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2024.3395626"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TADVP.2010.2043673"},{"key":"ref41","article-title":"RL4CO: An extensive reinforcement learning for combinatorial optimization benchmark","author":"Berto","year":"2023","journal-title":"arXiv:2306.17100"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ITT56123.2022.9863935"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ISEMC.2000.874717"},{"key":"ref44","article-title":"Effect of power plane inductance on power delivery networks","author":"Farrahi"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11195093.pdf?arnumber=11195093","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T17:42:27Z","timestamp":1760722947000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11195093\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3618829","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}