{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T18:50:13Z","timestamp":1757616613123,"version":"3.44.0"},"reference-count":91,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62372298"],"award-info":[{"award-number":["62372298"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Frontiers Science Center of Human-centered Artificial Intelligence"},{"name":"MoE Key Laboratory of Intelligent Perception and Human-Machine Collaboration"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Visual. Comput. Graphics"],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1109\/tvcg.2025.3574194","type":"journal-article","created":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T13:20:15Z","timestamp":1748524815000},"page":"8637-8653","source":"Crossref","is-referenced-by-count":0,"title":["ASight: Fine-Tuning Auto-Scheduling Optimizations for Model Deployment via Visual Analytics"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7748-2971","authenticated-orcid":false,"given":"Laixin","family":"Xie","sequence":"first","affiliation":[{"name":"School of Information Science and Technology, Shanghai Engineering Research Center of Intelligent Vision and Imaging, ShanghaiTech University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-1116-4895","authenticated-orcid":false,"given":"Chenyang","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Interactive Computing, Georgia Tech, Atlanta, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-0841-7251","authenticated-orcid":false,"given":"Ruofei","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Shanghai Engineering Research Center of Intelligent Vision and Imaging, ShanghaiTech University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3305-5158","authenticated-orcid":false,"given":"Xingxing","family":"Xing","sequence":"additional","affiliation":[{"name":"UX Center, Netease Games, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-0228-7458","authenticated-orcid":false,"given":"Wei","family":"Wan","sequence":"additional","affiliation":[{"name":"UX Center, Netease Games, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2249-0728","authenticated-orcid":false,"given":"Quan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Shanghai Engineering Research Center of Intelligent Vision and Imaging, ShanghaiTech University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1145\/3578938"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1109\/JPROC.2019.2921977"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1145\/3173162.3173191"},{"key":"ref4","first-page":"135","article-title":"ServerlessLLM: Low-latency serverless inference for large language models","volume-title":"Proc. 18th USENIX Symp. Operating Syst. Des. Implementation","author":"Fu"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1145\/2499370.2462176"},{"key":"ref6","first-page":"578","article-title":"$\\lbrace${TVM $\\rbrace$}: An automated $\\lbrace${ End-to-End$\\rbrace$} optimizing compiler for deep learning","volume-title":"Proc. 13th USENIX Symp. Operating Syst. Des. Implementation","author":"Chen"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1145\/3578356.3592589"},{"key":"ref8","first-page":"863","article-title":"Ansor: Generating high-performance tensor programs for deep learning","volume-title":"Proc. 14th USENIX Conf. Operating Syst. Des. Implementation","author":"Zheng"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1145\/3306346.3322967"},{"year":"2023","author":"Xie","article-title":"Understanding auto-scheduling optimizations for model deployment via visualizations","key":"ref10"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1109\/CGO.2004.1281665"},{"year":"2018","author":"Vasilache","article-title":"Tensor comprehensions: Framework-agnostic high-performance machine learning abstractions","key":"ref12"},{"year":"2018","author":"Rotem","article-title":"Glow: Graph lowering compiler techniques for neural networks","key":"ref13"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1109\/CGO51591.2021.9370308"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1145\/3676641.3716249"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1145\/3197978"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1109\/SC.1998.10004"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1109\/ICASSP.1998.681704"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1145\/2628071.2628092"},{"key":"ref20","first-page":"37","article-title":"PET: Optimizing tensor programs with partially equivalent transformations and automated corrections","volume-title":"Proc. 15th USENIX Symp. Operating Syst. Des. Implementation","author":"Wang"},{"key":"ref21","first-page":"233","article-title":"$\\lbrace${ROLLER$\\rbrace$}: Fast and efficient tensor compilation for deep learning","volume-title":"Proc. 16th USENIX Symp. Operating Syst. Des. Implementation","author":"Zhu","year":"2022"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/SCAM.2018.00009"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1109\/RTEICT52294.2021.9574012"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1561\/2500000002"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1145\/3183575"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1145\/3377555.3377894"},{"key":"ref27","first-page":"2244","article-title":"Programl: A graph-based program representation for data flow analysis and compiler optimizations","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Cummins"},{"doi-asserted-by":"publisher","key":"ref28","DOI":"10.1145\/3597503.3639117"},{"doi-asserted-by":"publisher","key":"ref29","DOI":"10.1145\/1806672.1806674"},{"doi-asserted-by":"publisher","key":"ref30","DOI":"10.1007\/s10766-020-00661-3"},{"doi-asserted-by":"publisher","key":"ref31","DOI":"10.1145\/3106739"},{"doi-asserted-by":"publisher","key":"ref32","DOI":"10.3390\/s24020708"},{"year":"2024","article-title":"Compiler explorer","key":"ref33"},{"doi-asserted-by":"publisher","key":"ref34","DOI":"10.1007\/978-3-030-58144-2_1"},{"doi-asserted-by":"publisher","key":"ref35","DOI":"10.1109\/INFVIS.1999.801852"},{"doi-asserted-by":"publisher","key":"ref36","DOI":"10.1109\/VPA.2014.11"},{"doi-asserted-by":"publisher","key":"ref37","DOI":"10.1145\/3307630.3342387"},{"issue":"2","key":"ref38","first-page":"667","article-title":"CcNav: Understanding compiler optimizations in binary code","volume-title":"IEEE Trans. Vis. Comput. Graph.","volume":"27","author":"Devkota","year":"2021"},{"doi-asserted-by":"publisher","key":"ref39","DOI":"10.1145\/3578360.3580255"},{"doi-asserted-by":"publisher","key":"ref40","DOI":"10.1145\/3392717.3392754"},{"year":"2024","article-title":"Intel vtune","key":"ref41"},{"year":"2024","article-title":"nsight nvidia","key":"ref42"},{"doi-asserted-by":"publisher","key":"ref43","DOI":"10.1002\/cpe.1553"},{"year":"2024","article-title":"Papi","key":"ref44"},{"doi-asserted-by":"publisher","key":"ref45","DOI":"10.1007\/3-540-45848-4_57"},{"doi-asserted-by":"publisher","key":"ref46","DOI":"10.1111\/cgf.14031"},{"doi-asserted-by":"publisher","key":"ref47","DOI":"10.1109\/TVCG.2020.2970509"},{"doi-asserted-by":"publisher","key":"ref48","DOI":"10.1109\/VAST.2017.8585638"},{"doi-asserted-by":"publisher","key":"ref49","DOI":"10.1145\/3025171.3025233"},{"doi-asserted-by":"publisher","key":"ref50","DOI":"10.3233\/IDA-1999-3203"},{"doi-asserted-by":"publisher","key":"ref51","DOI":"10.1145\/2038558.2038579"},{"doi-asserted-by":"publisher","key":"ref52","DOI":"10.1109\/INFVIS.2005.1532145"},{"doi-asserted-by":"publisher","key":"ref53","DOI":"10.1109\/TVCG.2013.91"},{"doi-asserted-by":"publisher","key":"ref54","DOI":"10.2352\/ISSN.2470-1173.2016.1.VDA-484"},{"doi-asserted-by":"publisher","key":"ref55","DOI":"10.1145\/2801040.2801056"},{"doi-asserted-by":"publisher","key":"ref56","DOI":"10.1109\/VAST.2016.7883510"},{"key":"ref57","first-page":"1","article-title":"D-map interactive visual analysis and exploration of ego-centric and event-centric information diffusion patterns in social media","volume":"10","author":"Chen","year":"2018","journal-title":"ACM Trans. Intell. Syst. Technol."},{"doi-asserted-by":"publisher","key":"ref58","DOI":"10.1109\/TVCG.2022.3209404"},{"doi-asserted-by":"publisher","key":"ref59","DOI":"10.1109\/ICNN.1997.611622"},{"doi-asserted-by":"publisher","key":"ref60","DOI":"10.1559\/1523040053722150"},{"doi-asserted-by":"publisher","key":"ref61","DOI":"10.1007\/978-3-642-36763-2_38"},{"doi-asserted-by":"publisher","key":"ref62","DOI":"10.1145\/2556288.2557112"},{"doi-asserted-by":"publisher","key":"ref63","DOI":"10.1111\/cgf.13987"},{"doi-asserted-by":"publisher","key":"ref64","DOI":"10.1111\/cgf.12093"},{"doi-asserted-by":"publisher","key":"ref65","DOI":"10.1007\/978-3-540-69902-6_3"},{"doi-asserted-by":"publisher","key":"ref66","DOI":"10.1007\/3-540-45424-1_33"},{"doi-asserted-by":"publisher","key":"ref67","DOI":"10.1145\/2934664"},{"year":"2024","article-title":"Redis","key":"ref68"},{"key":"ref69","first-page":"3149","article-title":"LightGBM: A highly efficient gradient boosting decision tree","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ke"},{"doi-asserted-by":"publisher","key":"ref70","DOI":"10.1109\/TPDS.2020.3030548"},{"doi-asserted-by":"publisher","key":"ref71","DOI":"10.1109\/TPAMI.2004.75"},{"doi-asserted-by":"publisher","key":"ref72","DOI":"10.1186\/1471-2105-14-S7-S13"},{"doi-asserted-by":"publisher","key":"ref73","DOI":"10.1016\/0022-2836(70)90057-4"},{"doi-asserted-by":"publisher","key":"ref74","DOI":"10.1145\/3211346.3211348"},{"year":"2024","article-title":"Dot","key":"ref75"},{"doi-asserted-by":"publisher","key":"ref76","DOI":"10.1109\/TIT.1983.1056714"},{"doi-asserted-by":"publisher","key":"ref77","DOI":"10.1145\/3491102.3517712"},{"doi-asserted-by":"publisher","key":"ref78","DOI":"10.1111\/cgf.14859"},{"doi-asserted-by":"publisher","key":"ref79","DOI":"10.1109\/TVCG.2017.2744184"},{"key":"ref80","first-page":"727","article-title":"X-means: Extending K-means with efficient estimation of the number of clusters","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Pelleg"},{"key":"ref81","first-page":"1","article-title":"Metric multidimensional scaling (MDS): Analyzing distance matrices","volume-title":"Proc. Encyclopedia Meas. Statist.","author":"Abdi"},{"key":"ref82","first-page":"108","article-title":"API design for machine learning software: Experiences from the scikit-learn project","volume-title":"Proc. ECML PKDD Workshop: Lang. Data Mining Mach. Learn.","author":"Buitinck"},{"doi-asserted-by":"publisher","key":"ref83","DOI":"10.1145\/361002.361007"},{"doi-asserted-by":"publisher","key":"ref84","DOI":"10.1109\/TIP.2003.822971"},{"year":"2024","article-title":"Tedd","key":"ref85"},{"doi-asserted-by":"publisher","key":"ref86","DOI":"10.1287\/isre.8.3.254"},{"doi-asserted-by":"publisher","key":"ref87","DOI":"10.1109\/CVPR.2016.90"},{"doi-asserted-by":"publisher","key":"ref88","DOI":"10.1145\/3383313.3412236"},{"doi-asserted-by":"publisher","key":"ref89","DOI":"10.1109\/TVCG.2017.2744378"},{"year":"2023","article-title":"MLC-LLM","key":"ref90"},{"doi-asserted-by":"publisher","key":"ref91","DOI":"10.1145\/3754448"}],"container-title":["IEEE Transactions on Visualization and Computer Graphics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/2945\/11151252\/11017440.pdf?arnumber=11017440","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,5]],"date-time":"2025-09-05T19:19:07Z","timestamp":1757099947000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11017440\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10]]},"references-count":91,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tvcg.2025.3574194","relation":{},"ISSN":["1077-2626","1941-0506","2160-9306"],"issn-type":[{"type":"print","value":"1077-2626"},{"type":"electronic","value":"1941-0506"},{"type":"electronic","value":"2160-9306"}],"subject":[],"published":{"date-parts":[[2025,10]]}}}