{"id":"https://openalex.org/W4313167960","doi":"https://doi.org/10.1145/3565291.3565334","title":"Cross-Domain Character Recognition through Latent Space Alignment","display_name":"Cross-Domain Character Recognition through Latent Space Alignment","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4313167960","doi":"https://doi.org/10.1145/3565291.3565334"},"language":"en","primary_location":{"id":"doi:10.1145/3565291.3565334","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3565291.3565334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Big Data Technologies","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048629905","display_name":"Chunpeng Wu","orcid":"https://orcid.org/0000-0002-3970-8570"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chunpeng Wu","raw_affiliation_strings":["Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory, State Grid Smart Grid Research Institute, China"],"raw_orcid":"https://orcid.org/0000-0002-3970-8570","affiliations":[{"raw_affiliation_string":"Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory, State Grid Smart Grid Research Institute, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049576699","display_name":"Zexu Du","orcid":"https://orcid.org/0000-0003-2741-4724"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zexu Du","raw_affiliation_strings":["Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory, State Grid Smart Grid Research Institute, China"],"raw_orcid":"https://orcid.org/0000-0003-2741-4724","affiliations":[{"raw_affiliation_string":"Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory, State Grid Smart Grid Research Institute, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103274167","display_name":"Jinrui Gan","orcid":"https://orcid.org/0000-0001-6456-6546"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinrui Gan","raw_affiliation_strings":["Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory, State Grid Smart Grid Research Institute, China"],"raw_orcid":"https://orcid.org/0000-0001-6456-6546","affiliations":[{"raw_affiliation_string":"Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory, State Grid Smart Grid Research Institute, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100607251","display_name":"Guoliang Zhang","orcid":"https://orcid.org/0000-0001-7309-5344"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guoliang Zhang","raw_affiliation_strings":["Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory, State Grid Smart Grid Research Institute, China"],"raw_orcid":"https://orcid.org/0000-0001-7309-5344","affiliations":[{"raw_affiliation_string":"Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory, State Grid Smart Grid Research Institute, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060887967","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0002-6429-2570"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["Energy Internet Technology and Economic Research Department, State Grid Anhui Electric Power Research Institute, China"],"raw_orcid":"https://orcid.org/0000-0002-6429-2570","affiliations":[{"raw_affiliation_string":"Energy Internet Technology and Economic Research Department, State Grid Anhui Electric Power Research Institute, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027416429","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0002-1649-5621"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["Energy Internet Technology and Economic Research Department, State Grid Anhui Electric Power Research Institute, China"],"raw_orcid":"https://orcid.org/0000-0002-1649-5621","affiliations":[{"raw_affiliation_string":"Energy Internet Technology and Economic Research Department, State Grid Anhui Electric Power Research Institute, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Peng Wu","orcid":"https://orcid.org/0000-0002-0754-1163"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng Wu","raw_affiliation_strings":["Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory, State Grid Smart Grid Research Institute, China"],"raw_orcid":"https://orcid.org/0000-0002-0754-1163","affiliations":[{"raw_affiliation_string":"Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory, State Grid Smart Grid Research Institute, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091138705","display_name":"Fei Zhou","orcid":"https://orcid.org/0000-0003-0673-6011"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fei Zhou","raw_affiliation_strings":["Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory, State Grid Smart Grid Research Institute, China"],"raw_orcid":"https://orcid.org/0000-0003-0673-6011","affiliations":[{"raw_affiliation_string":"Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory, State Grid Smart Grid Research Institute, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"266","last_page":"272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9887999892234802,"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":0.9402999877929688,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7862529754638672},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.759724497795105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7418031692504883},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6282426118850708},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.6148841381072998},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5445657968521118},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5364751219749451},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5273383855819702},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.524756908416748},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.509374737739563},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.49838972091674805},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.497773677110672},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4645848572254181},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4625626802444458},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.4179462194442749},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2147795557975769},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09653329849243164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7862529754638672},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.759724497795105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7418031692504883},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6282426118850708},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.6148841381072998},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5445657968521118},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5364751219749451},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5273383855819702},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.524756908416748},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.509374737739563},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.49838972091674805},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.497773677110672},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4645848572254181},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4625626802444458},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.4179462194442749},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2147795557975769},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09653329849243164},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3565291.3565334","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3565291.3565334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Big Data Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8569537604","display_name":null,"funder_award_id":"5400-202158333A-0-0-00","funder_id":"https://openalex.org/F4320326707","funder_display_name":"State Grid Corporation of China"}],"funders":[{"id":"https://openalex.org/F4320326707","display_name":"State Grid Corporation of China","ror":"https://ror.org/05twwhs70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W398859631","https://openalex.org/W569478347","https://openalex.org/W2033547469","https://openalex.org/W2112483442","https://openalex.org/W2115403315","https://openalex.org/W2156163116","https://openalex.org/W3023742835"],"related_works":["https://openalex.org/W2983142544","https://openalex.org/W2891059443","https://openalex.org/W4281663961","https://openalex.org/W3034688404","https://openalex.org/W3208888551","https://openalex.org/W4313561566","https://openalex.org/W3208386644","https://openalex.org/W4389832810","https://openalex.org/W4220682630","https://openalex.org/W3181622257"],"abstract_inverted_index":{"Deep":[0],"neural":[1,16],"networks":[2,17],"have":[3,42],"proved":[4],"its":[5],"capability":[6],"in":[7,18,156],"many":[8],"machine":[9],"learning":[10,60,67,131],"tasks.":[11],"The":[12],"effectiveness":[13],"of":[14,72,109,115,152],"deep":[15],"real-world":[19],"applications,":[20],"however,":[21],"is":[22],"greatly":[23],"affected":[24],"by":[25,146],"the":[26,30,37,58,62,102,107,110,135,153],"distribution":[27,63,87,112],"discrepancy":[28],"between":[29],"training":[31],"and":[32,61,92,117],"testing":[33],"data.":[34],"To":[35],"address":[36],"issue,":[38],"domain":[39,53,157],"adaptation":[40,54,158],"methods":[41,155],"been":[43],"studied.":[44],"In":[45],"this":[46],"work,":[47],"we":[48],"propose":[49],"a":[50],"novel":[51],"unsupervised":[52],"method":[55,127,142],"which":[56],"combines":[57],"feature":[59,73],"estimation":[64],"into":[65,101],"one":[66],"framework,":[68],"enabling":[69],"automatic":[70],"update":[71],"representations":[74],"through":[75],"fine-tuning":[76],"parameterized":[77],"distributions.":[78],"As":[79],"such,":[80],"our":[81,126,141],"model":[82],"can":[83],"produce":[84],"an":[85],"unified":[86,111],"to":[88,105,134],"represent":[89],"both":[90],"source":[91,116],"target":[93,118],"samples.":[94],"Furthermore,":[95],"two":[96],"new":[97],"regularizers":[98],"are":[99],"integrated":[100],"optimization":[103],"objective":[104],"minimize":[106],"divergence":[108],"from":[113,150],"those":[114],"domains.":[119],"Experiments":[120],"on":[121],"character":[122,163],"reconstruction":[123],"show":[124],"that":[125,151],"demonstrates":[128],"much":[129],"better":[130],"ability":[132],"compared":[133],"existing":[136],"variational":[137],"autoencoder.":[138],"More":[139],"importantly,":[140],"improves":[143],"recognition":[144],"accuracy":[145],"more":[147],"than":[148],"5%":[149],"state-of-the-art":[154],"tasks":[159],"built":[160],"upon":[161],"popular":[162],"datasets.":[164]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
