{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T20:48:53Z","timestamp":1782161333652,"version":"3.54.5"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"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":["2022YFB4501600"],"award-info":[{"award-number":["2022YFB4501600"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFB4501603"],"award-info":[{"award-number":["2022YFB4501603"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61976200"],"award-info":[{"award-number":["61976200"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62172380"],"award-info":[{"award-number":["62172380"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003995","name":"Natural Science Foundation of Anhui Province","doi-asserted-by":"publisher","award":["2508085MF141"],"award-info":[{"award-number":["2508085MF141"]}],"id":[{"id":"10.13039\/501100003995","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20251815"],"award-info":[{"award-number":["BK20251815"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004739","name":"Youth Innovation Promotion Association Chinese Academy of Sciences","doi-asserted-by":"crossref","award":["Y2021121"],"award-info":[{"award-number":["Y2021121"]}],"id":[{"id":"10.13039\/501100004739","id-type":"DOI","asserted-by":"crossref"}]},{"name":"USTC Research Funds of the Double First-Class Initiative","award":["YD2150002005"],"award-info":[{"award-number":["YD2150002005"]}]},{"name":"USTC Research Funds of the Double First-Class Initiative","award":["YD2150002011"],"award-info":[{"award-number":["YD2150002011"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst."],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1109\/tcad.2025.3636442","type":"journal-article","created":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T19:00:11Z","timestamp":1764010811000},"page":"3360-3373","source":"Crossref","is-referenced-by-count":0,"title":["UniSparTa: A Unified Sparse Tensor Program Tuning Framework"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-6941-7158","authenticated-orcid":false,"given":"Zihan","family":"Wang","sequence":"first","affiliation":[{"name":"University of Science and Technology of China, Hefei, Anhui, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8391-5526","authenticated-orcid":false,"given":"Lei","family":"Gong","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, Anhui, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-4721-9364","authenticated-orcid":false,"given":"Xiangjun","family":"Qu","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, Anhui, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-0882-5047","authenticated-orcid":false,"given":"Cheng","family":"Tang","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, Anhui, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2240-6672","authenticated-orcid":false,"given":"Wenqi","family":"Lou","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, Anhui, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7281-1203","authenticated-orcid":false,"given":"Teng","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, Anhui, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8321-6920","authenticated-orcid":false,"given":"Qianyu","family":"Cheng","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, Anhui, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xianglan","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, Anhui, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9403-5575","authenticated-orcid":false,"given":"Chao","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, Anhui, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8360-3143","authenticated-orcid":false,"given":"Xuehai","family":"Zhou","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, Anhui, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3470496.3527403"},{"key":"ref2","first-page":"381","article-title":"Practicably boosting the processing performance of BFS-like algorithms on semi-external graph system via I\/O-efficient graph ordering","volume-title":"Proc. 20th USENIX Conf. File Storage Technol. (FAST)","author":"Yang"},{"key":"ref3","article-title":"Generating long sequences with sparse transformers","author":"Child","year":"2019","journal-title":"arXiv:1904.10509"},{"key":"ref4","first-page":"1239","article-title":"Efficient large graph processing with chunk-based graph representation model","volume-title":"Proc. USENIX Annu. Tech. Conf. (USENIX ATC)","author":"Wang"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3276493"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-06486-4_7"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3373376.3378508"},{"key":"ref8","first-page":"863","article-title":"Ansor: Generating high-performance tensor programs for deep learning","volume-title":"Proc. 14th USENIX Symp. Operating Syst. Design Implement. (OSDI)","author":"Zheng"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.52202\/068431-2593"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3575693.3576933"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3575693.3575742"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3133901"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3428226"},{"key":"ref14","first-page":"1","article-title":"Learning to optimize tensor programs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Chen"},{"key":"ref15","first-page":"1","article-title":"TenSet: A large-scale program performance dataset for learned tensor compilers","volume-title":"Proc. 35th Conf. Neural Inf. Process. Syst. Datasets Benchmarks Track (Round 1)","author":"Zheng"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3575693.3575737"},{"key":"ref17","article-title":"MetaTune: Meta-learning based cost model for fast and efficient auto-tuning frameworks","author":"Ryu","year":"2021","journal-title":"arXiv:2102. 04199"},{"key":"ref18","article-title":"Moses: Efficient exploitation of cross-device transferable features for tensor program optimization","author":"Zhao","year":"2022","journal-title":"arXiv:2201. 05752"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3627703.3629572"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCD63220.2024.00081"},{"key":"ref21","article-title":"Playing Atari with deep reinforcement learning","author":"Mnih","year":"2013","journal-title":"arXiv:1312.5602"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1214\/ss\/1177011077"},{"key":"ref23","first-page":"689","article-title":"Multimodal deep learning","volume-title":"Proc. ICML","author":"Ngiam"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3293883.3295712"},{"key":"ref25","first-page":"578","article-title":"TVM: An automated end-to-end optimizing compiler for deep learning","volume-title":"Proc. 13th USENIX Symp. Operating Syst. Design Implement. (OSDI)","author":"Chen"},{"key":"ref26","first-page":"57","article-title":"The Einstein summation notation","volume-title":"An Introduction to Physically Based Modeling (Course Notes 19)","volume":"1","author":"Barr","year":"1991"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/SC41405.2020.00022"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/SC41404.2022.00071"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.21105\/joss.01244"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3582016.3582061"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/225830.224445"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCD63220.2024.00083"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref34","first-page":"1","article-title":"ViLBERT: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lu"},{"key":"ref35","first-page":"12888","article-title":"BLIP: Bootstrapping language-image pre-training for unified vision-language understanding and generation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Li"},{"key":"ref36","article-title":"Florence: A new foundation model for computer vision","author":"Yuan","year":"2021","journal-title":"arXiv:2111.11432"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271784"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref39","article-title":"AutoAugment: Learning augmentation policies from data","author":"Cubuk","year":"2018","journal-title":"arXiv:1805.09501"}],"container-title":["IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/43\/11573128\/11265774.pdf?arnumber=11265774","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T19:56:17Z","timestamp":1782158177000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11265774\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":39,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tcad.2025.3636442","relation":{},"ISSN":["0278-0070","1937-4151"],"issn-type":[{"value":"0278-0070","type":"print"},{"value":"1937-4151","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7]]}}}