乐胖代购免代理版

{"id":"https://openalex.org/W4385767930","doi":"https://doi.org/10.24963/ijcai.2023/649","title":"Learn and Sample Together: Collaborative Generation for Graphic Design Layout","display_name":"Learn and Sample Together: Collaborative Generation for Graphic Design Layout","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385767930","doi":"https://doi.org/10.24963/ijcai.2023/649"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/649","pdf_url":"https://www.ijcai.org/proceedings/2023/0649.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2023/0649.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007678458","display_name":"Haohan Weng","orcid":"https://orcid.org/0000-0003-4954-4546"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"funder","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haohan Weng","raw_affiliation_strings":["South China University of Technology"],"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061321029","display_name":"Danqing Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danqing Huang","raw_affiliation_strings":["Microsoft Research Asia"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378800","display_name":"Tong Zhang","orcid":"https://orcid.org/0000-0002-7025-6365"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"funder","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Zhang","raw_affiliation_strings":["South China University of Technology"],"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090151187","display_name":"Chin-Yew Lin","orcid":"https://orcid.org/0000-0002-0798-6365"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chin-Yew Lin","raw_affiliation_strings":["Microsoft Research Asia"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia","institution_ids":["https://openalex.org/I4210113369"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.891,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":4,"citation_normalized_percentile":{"value":0.440506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":85,"max":88},"biblio":{"volume":null,"issue":null,"first_page":"5851","last_page":"5859"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9958,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9958,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9927,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9911,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5634082}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8024632},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6692755},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5762961},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5634082},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.53900784},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.51720583},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.35341948},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33407134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32282948},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/649","pdf_url":"https://www.ijcai.org/proceedings/2023/0649.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/649","pdf_url":"https://www.ijcai.org/proceedings/2023/0649.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":35,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1959608418","https://openalex.org/W2030073376","https://openalex.org/W2136384865","https://openalex.org/W2942465004","https://openalex.org/W2960053204","https://openalex.org/W2963103943","https://openalex.org/W2969541706","https://openalex.org/W3000176874","https://openalex.org/W3003711898","https://openalex.org/W3021945924","https://openalex.org/W3033926673","https://openalex.org/W3035050475","https://openalex.org/W3092329649","https://openalex.org/W3107547765","https://openalex.org/W3112646048","https://openalex.org/W3167280680","https://openalex.org/W3167290312","https://openalex.org/W3197937657","https://openalex.org/W3202536355","https://openalex.org/W3206831165","https://openalex.org/W4214755412","https://openalex.org/W4225109873","https://openalex.org/W4226079479","https://openalex.org/W4283803959","https://openalex.org/W4288627824","https://openalex.org/W4301206121","https://openalex.org/W4304080663","https://openalex.org/W4312357085","https://openalex.org/W4312473718","https://openalex.org/W4320013936","https://openalex.org/W4320182742","https://openalex.org/W4322614756","https://openalex.org/W4380998028","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2988126442","https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W2338543196","https://openalex.org/W2103419012","https://openalex.org/W2063982682","https://openalex.org/W2057568687","https://openalex.org/W1989130879","https://openalex.org/W1974414866","https://openalex.org/W1544691147"],"abstract_inverted_index":{"In":[0],"the":[1,20,23,26,60,65,78,92,108,126,146,152,164],"process":[2],"of":[3,166],"graphic":[4],"layout":[5,54,93],"generation,":[6],"user":[7],"specifications":[8],"including":[9],"element":[10],"attributes":[11],"and":[12,51,97,131,149],"their":[13],"relationships":[14],"are":[15,89],"commonly":[16],"used":[17],"to":[18,31,91,100,120,161],"constrain":[19],"layouts":[21],"(e.g.,\"put":[22],"image":[24],"above":[25],"button'').":[27],"It":[28],"is":[29,57],"natural":[30],"encode":[32],"spatial":[33,48],"constraints":[34],"between":[35,125],"elements":[36],"using":[37],"a":[38,43,47,52,85,115],"graph.":[39,63],"This":[40],"paper":[41],"presents":[42],"two-stage":[44],"generation":[45,118,148],"framework:":[46],"graph":[49,79,167],"generator":[50,80],"subsequent":[53],"decoder":[55,94],"which":[56,88],"conditioned":[58],"on":[59,135],"previous":[61,73],"output":[62],"Training":[64],"two":[66,109],"highly":[67],"dependent":[68],"networks":[69,110,127],"separately":[70],"as":[71],"in":[72,104,128],"work,":[74],"we":[75,113,156],"observe":[76],"that":[77,140],"generates":[81],"out-of-distribution":[82],"graphs":[83],"with":[84],"high":[86],"frequency,":[87],"unseen":[90],"during":[95],"training":[96,130],"thus":[98],"leads":[99],"huge":[101],"performance":[102],"drop":[103],"inference.":[105,132],"To":[106],"coordinate":[107],"more":[111],"effectively,":[112],"propose":[114],"novel":[116],"collaborative":[117,147],"strategy":[119],"perform":[121],"round-way":[122],"knowledge":[123],"transfer":[124],"both":[129],"Experiment":[133],"results":[134],"three":[136],"public":[137],"datasets":[138],"show":[139],"our":[141],"model":[142],"greatly":[143],"benefits":[144],"from":[145],"has":[150],"achieved":[151],"state-of-the-art":[153],"performance.":[154],"Furthermore,":[155],"conduct":[157],"an":[158],"in-depth":[159],"analysis":[160],"better":[162],"understand":[163],"effectiveness":[165],"condition":[168],"modeling.":[169]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4385767930","counts_by_year":[{"year":2024,"cited_by_count":4}],"updated_date":"2025-04-15T18:01:32.925232","created_date":"2023-08-12"}