{"id":"https://openalex.org/W4387969597","doi":"https://doi.org/10.1145/3581783.3612573","title":"Handwritten Chemical Structure Image to Structure-Specific Markup Using Random Conditional Guided Decoder","display_name":"Handwritten Chemical Structure Image to Structure-Specific Markup Using Random Conditional Guided Decoder","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387969597","doi":"https://doi.org/10.1145/3581783.3612573"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612573","doi":"https://doi.org/10.1145/3581783.3612573","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612573","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612573","source":{"id":"https://openalex.org/S4363608757","display_name":"ACM International Conference on Multimedia (ACM MM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612573","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050645517","display_name":"Jinshui Hu","orcid":"https://orcid.org/0009-0001-3017-973X","observed_orcids":["https://orcid.org/0009-0001-3017-973X"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinshui Hu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0001-3017-973X","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101983065","display_name":"Hao Wu","orcid":"https://orcid.org/0009-0003-3041-7253","observed_orcids":["https://orcid.org/0009-0003-3041-7253"]},"institutions":[{"id":"https://openalex.org/I4401726934","display_name":"IFlyTek (China)","ror":"https://ror.org/009pwww24","country_code":"CN","type":"company","lineage":["https://openalex.org/I4401726934"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wu","raw_affiliation_strings":["iFLYTEK Research, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0003-3041-7253","affiliations":[{"raw_affiliation_string":"iFLYTEK Research, Hefei, China","institution_ids":["https://openalex.org/I4401726934"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050504073","display_name":"Mingjun Chen","orcid":"https://orcid.org/0009-0001-9329-6992","observed_orcids":["https://orcid.org/0009-0001-9329-6992"]},"institutions":[{"id":"https://openalex.org/I4401726934","display_name":"IFlyTek (China)","ror":"https://ror.org/009pwww24","country_code":"CN","type":"company","lineage":["https://openalex.org/I4401726934"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjun Chen","raw_affiliation_strings":["iFLYTEK Research, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0001-9329-6992","affiliations":[{"raw_affiliation_string":"iFLYTEK Research, Hefei, China","institution_ids":["https://openalex.org/I4401726934"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100731343","display_name":"Chenyu Liu","orcid":"https://orcid.org/0009-0006-6682-2877","observed_orcids":["https://orcid.org/0009-0006-6682-2877"]},"institutions":[{"id":"https://openalex.org/I4401726934","display_name":"IFlyTek (China)","ror":"https://ror.org/009pwww24","country_code":"CN","type":"company","lineage":["https://openalex.org/I4401726934"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyu Liu","raw_affiliation_strings":["iFLYTEK Research, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0006-6682-2877","affiliations":[{"raw_affiliation_string":"iFLYTEK Research, Hefei, China","institution_ids":["https://openalex.org/I4401726934"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103007623","display_name":"Jiajia Wu","orcid":"https://orcid.org/0000-0002-0951-4281","observed_orcids":["https://orcid.org/0000-0002-0951-4281"]},"institutions":[{"id":"https://openalex.org/I4401726934","display_name":"IFlyTek (China)","ror":"https://ror.org/009pwww24","country_code":"CN","type":"company","lineage":["https://openalex.org/I4401726934"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajia Wu","raw_affiliation_strings":["iFLYTEK Research, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-0951-4281","affiliations":[{"raw_affiliation_string":"iFLYTEK Research, Hefei, China","institution_ids":["https://openalex.org/I4401726934"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079089412","display_name":"Shi Nin Yin","orcid":"https://orcid.org/0000-0001-8114-2235","observed_orcids":["https://orcid.org/0000-0001-8114-2235"]},"institutions":[{"id":"https://openalex.org/I4401726934","display_name":"IFlyTek (China)","ror":"https://ror.org/009pwww24","country_code":"CN","type":"company","lineage":["https://openalex.org/I4401726934"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Yin","raw_affiliation_strings":["iFLYTEK Research, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-8114-2235","affiliations":[{"raw_affiliation_string":"iFLYTEK Research, Hefei, China","institution_ids":["https://openalex.org/I4401726934"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020527092","display_name":"Baocai Yin","orcid":"https://orcid.org/0000-0003-3121-1823","observed_orcids":["https://orcid.org/0000-0003-3121-1823","https://orcid.org/0000-0002-4164-6647","https://orcid.org/0000-0002-8125-4648"]},"institutions":[{"id":"https://openalex.org/I4401726934","display_name":"IFlyTek (China)","ror":"https://ror.org/009pwww24","country_code":"CN","type":"company","lineage":["https://openalex.org/I4401726934"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baocai Yin","raw_affiliation_strings":["iFLYTEK Research, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-4164-6647","affiliations":[{"raw_affiliation_string":"iFLYTEK Research, Hefei, China","institution_ids":["https://openalex.org/I4401726934"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015096160","display_name":"Bing Yin","orcid":"https://orcid.org/0000-0002-4042-7522","observed_orcids":["https://orcid.org/0000-0002-4042-7522"]},"institutions":[{"id":"https://openalex.org/I4401726934","display_name":"IFlyTek (China)","ror":"https://ror.org/009pwww24","country_code":"CN","type":"company","lineage":["https://openalex.org/I4401726934"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Yin","raw_affiliation_strings":["iFLYTEK Research, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-4042-7522","affiliations":[{"raw_affiliation_string":"iFLYTEK Research, Hefei, China","institution_ids":["https://openalex.org/I4401726934"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100654206","display_name":"Cong Liu","orcid":"https://orcid.org/0009-0003-0328-423X","observed_orcids":["https://orcid.org/0009-0003-0328-423X"]},"institutions":[{"id":"https://openalex.org/I4401726934","display_name":"IFlyTek (China)","ror":"https://ror.org/009pwww24","country_code":"CN","type":"company","lineage":["https://openalex.org/I4401726934"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Liu","raw_affiliation_strings":["iFLYTEK Research, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0003-0328-423X","affiliations":[{"raw_affiliation_string":"iFLYTEK Research, Hefei, China","institution_ids":["https://openalex.org/I4401726934"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066595711","display_name":"Jun Du","orcid":"https://orcid.org/0000-0002-2387-0389","observed_orcids":["https://orcid.org/0000-0002-2387-0389","https://orcid.org/0009-0001-8096-9895"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Du","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-2387-0389","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057227915","display_name":"Li-Rong Dai","orcid":"https://orcid.org/0000-0002-0859-2827","observed_orcids":["https://orcid.org/0000-0002-0859-2827"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lirong Dai","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-0859-2827","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.18,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53611467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"8114","last_page":"8124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T10036","display_name":"Advanced Neural Network Applications","score":9.999999747378752e-05,"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/T10211","display_name":"Computational Drug Discovery Methods","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/3002","display_name":"Drug Discovery"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/path-choice","display_name":"path selection","score":0.5759999752044678},{"id":"https://openalex.org/keywords/smiles","display_name":"SMILES","score":0.6489999890327454}],"concepts":[{"id":"https://openalex.org/C45874996","wikidata":"https://www.wikidata.org/wiki/Q37045","display_name":"Markup language","level":3,"score":0.9191498756408691},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7843815088272095},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.6844357848167419},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.5258227586746216},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5071539878845215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5020818710327148},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.44220128655433655},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4231160283088684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41968512535095215},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.13274085521697998},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10906949639320374},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3612573","doi":"https://doi.org/10.1145/3581783.3612573","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612573","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612573","source":{"id":"https://openalex.org/S4363608757","display_name":"ACM International Conference on Multimedia (ACM MM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3581783.3612573","doi":"https://doi.org/10.1145/3581783.3612573","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612573","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612573","source":{"id":"https://openalex.org/S4363608757","display_name":"ACM International Conference on Multimedia (ACM MM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387969597.pdf","grobid_xml":"https://content.openalex.org/works/W4387969597.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W1975147762","https://openalex.org/W2087563523","https://openalex.org/W2137052779","https://openalex.org/W2558999090","https://openalex.org/W2787045403","https://openalex.org/W2901476322","https://openalex.org/W3007750971","https://openalex.org/W3030520226","https://openalex.org/W3092396754","https://openalex.org/W3094502228","https://openalex.org/W3138516171","https://openalex.org/W3159637683","https://openalex.org/W3167095230","https://openalex.org/W3187418919","https://openalex.org/W3194329900","https://openalex.org/W3201757274","https://openalex.org/W3215100485","https://openalex.org/W4200635795","https://openalex.org/W4221142197","https://openalex.org/W4226367203","https://openalex.org/W4281484410","https://openalex.org/W4283803766","https://openalex.org/W4304015090","https://openalex.org/W4309218736","https://openalex.org/W4312235312","https://openalex.org/W4312312588","https://openalex.org/W4312543911","https://openalex.org/W4312694852","https://openalex.org/W4312868947","https://openalex.org/W4313023122","https://openalex.org/W4313124688","https://openalex.org/W4313125865","https://openalex.org/W4353112191","https://openalex.org/W4390874575","https://openalex.org/W6600474606"],"related_works":["https://openalex.org/W4400986109","https://openalex.org/W4385926788","https://openalex.org/W4408393382","https://openalex.org/W4404570676","https://openalex.org/W4353112191","https://openalex.org/W7147158960","https://openalex.org/W4412496645","https://openalex.org/W2244145167","https://openalex.org/W4400358811","https://openalex.org/W4409346519"],"abstract_inverted_index":{"Satisfactory":[0],"recognition":[1],"performance":[2],"has":[3,143],"been":[4,144],"achieved":[5],"for":[6,57,189],"simple":[7],"and":[8,29,69,78,118,166,200],"controllable":[9],"printed":[10],"molecular":[11,41,92,107,183],"images.":[12],"However,":[13],"recognizing":[14],"handwritten":[15,27,58,138],"chemical":[16,59,139,164],"structure":[17,60,140],"images":[18,61,141,165],"remains":[19],"unresolved":[20],"due":[21],"to":[22,47,89,98,124,151,192],"the":[23,34,100,127,130,160,196],"inherent":[24],"ambiguities":[25],"in":[26,80,195,209],"atoms":[28],"bonds,":[30],"as":[31,33],"well":[32],"signifcant":[35],"challenge":[36],"of":[37,102,106,112,129,198],"converting":[38],"projected":[39],"2D":[40],"layouts":[42],"into":[43],"markup":[44,66,87,167],"strings.":[45,168],"Target":[46],"address":[48,99],"these":[49],"problems,":[50],"this":[51],"paper":[52],"proposes":[53],"an":[54,85],"end-to-end":[55,131],"framework":[56],"recognition,":[62],"with":[63],"novel":[64],"structure-specific":[65],"language":[67,88],"(SSML)":[68],"random":[70],"conditional":[71,113],"guided":[72],"decoder":[73],"(RCGD).":[74],"SSML":[75,156],"alleviates":[76],"ambiguity":[77],"complexity":[79],"Chemfig":[81],"syntax":[82],"by":[83],"designing":[84],"innovative":[86],"accurately":[90],"depict":[91],"structures.":[93],"Besides,":[94],"we":[95],"propose":[96],"RCGD":[97],"issue":[101],"multiple":[103],"path":[104,119],"decoding":[105],"structures,":[108,184],"which":[109],"is":[110,170],"composed":[111],"attention":[114],"guidance,":[115],"memory":[116],"classification":[117],"selection":[120],"mechanisms.":[121],"In":[122],"order":[123],"fully":[125],"confirm":[126],"effectiveness":[128],"method,":[132],"a":[133],"new":[134],"database":[135],"containing":[136],"50,000":[137],"(EDU-CHEMC)":[142],"established.":[145],"Experimental":[146],"results":[147],"demonstrate":[148],"that":[149,173],"compared":[150],"traditional":[152],"SMILES":[153],"sequences,":[154],"our":[155,174],"can":[157,176],"significantly":[158],"reduces":[159],"semantic":[161],"gap":[162],"between":[163],"It":[169],"worth":[171],"noting":[172],"method":[175],"also":[177],"recognize":[178],"invalid":[179],"or":[180],"non-existent":[181],"organic":[182],"making":[185],"it":[186],"highly":[187],"applicable":[188],"tasks":[190],"related":[191],"teaching":[193],"evaluations":[194],"fields":[197],"chemistry":[199],"biology":[201],"education.":[202],"The":[203],"EDU-CHEMC":[204],"will":[205],"be":[206],"released":[207],"soon":[208],"https://github.com/iFLYTEK-CV/EDU-CHEMC.":[210]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2023-10-28T00:00:00"}