{"id":"https://openalex.org/W4405754536","doi":"https://doi.org/10.1109/tmm.2024.3521709","title":"LININ: Logic Integrated Neural Inference Network for Explanatory Visual Question Answering","display_name":"LININ: Logic Integrated Neural Inference Network for Explanatory Visual Question Answering","publication_year":2024,"publication_date":"2024-12-24","ids":{"openalex":"https://openalex.org/W4405754536","doi":"https://doi.org/10.1109/tmm.2024.3521709"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3521709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3521709","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},"type":"article","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/A5068536664","display_name":"Dizhan Xue","orcid":"https://orcid.org/0000-0002-0173-1556"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dizhan Xue","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0173-1556","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073601707","display_name":"Shengsheng Qian","orcid":"https://orcid.org/0000-0001-9488-2208"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengsheng Qian","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9488-2208","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108683740","display_name":"Quan Fang","orcid":"https://orcid.org/0000-0003-4190-1529"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Fang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China","Beijing University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0003-4190-1529","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022636178","display_name":"Changsheng Xu","orcid":"https://orcid.org/0000-0001-8343-9665"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changsheng Xu","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8343-9665","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2495,"currency":"USD","value_usd":2495},"apc_paid":null,"fwci":1.5252,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83516062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"27","issue":null,"first_page":"16","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9915000200271606,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9915000200271606,"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/T10028","display_name":"Topic Modeling","score":0.9230999946594238,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9043999910354614,"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/question-answering","display_name":"Question answering","score":0.8436801433563232},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8105300664901733},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6523889303207397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6103647947311401},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5703836679458618},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5033470988273621},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4501842260360718},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3517626225948334}],"concepts":[{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.8436801433563232},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8105300664901733},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6523889303207397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6103647947311401},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5703836679458618},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5033470988273621},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4501842260360718},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3517626225948334}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3521709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3521709","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1498893086","display_name":null,"funder_award_id":"62036012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2280626339","display_name":null,"funder_award_id":"62276257","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2454296646","display_name":null,"funder_award_id":"62106262","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4317995357","display_name":null,"funder_award_id":"61936005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G470762236","display_name":null,"funder_award_id":"62072456","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6645375259","display_name":null,"funder_award_id":"JQ24019","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G8976386447","display_name":null,"funder_award_id":"JQ23018","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1730072672","https://openalex.org/W1933349210","https://openalex.org/W1956340063","https://openalex.org/W2101105183","https://openalex.org/W2194775991","https://openalex.org/W2250539671","https://openalex.org/W2506483933","https://openalex.org/W2549139847","https://openalex.org/W2619383789","https://openalex.org/W2745461083","https://openalex.org/W2767290858","https://openalex.org/W2789304371","https://openalex.org/W2896457183","https://openalex.org/W2963150162","https://openalex.org/W2963518342","https://openalex.org/W2963530300","https://openalex.org/W2963609017","https://openalex.org/W2963991868","https://openalex.org/W2970231061","https://openalex.org/W2973009097","https://openalex.org/W2982699810","https://openalex.org/W2990283237","https://openalex.org/W2998356391","https://openalex.org/W3005881764","https://openalex.org/W3026441479","https://openalex.org/W3034649151","https://openalex.org/W3035497460","https://openalex.org/W3087975588","https://openalex.org/W3091588028","https://openalex.org/W3100770207","https://openalex.org/W3110388292","https://openalex.org/W3145807616","https://openalex.org/W3173220247","https://openalex.org/W3174366544","https://openalex.org/W3186187670","https://openalex.org/W3187176672","https://openalex.org/W3195963939","https://openalex.org/W3195986544","https://openalex.org/W3204281258","https://openalex.org/W3216294399","https://openalex.org/W4283837671","https://openalex.org/W4285200267","https://openalex.org/W4285414077","https://openalex.org/W4285605365","https://openalex.org/W4304092489","https://openalex.org/W4312554250","https://openalex.org/W4312695920","https://openalex.org/W4385245566","https://openalex.org/W4390872352","https://openalex.org/W4396753382","https://openalex.org/W4400125901","https://openalex.org/W6620707391","https://openalex.org/W6631190155","https://openalex.org/W6682631176","https://openalex.org/W6752083267","https://openalex.org/W6755977528","https://openalex.org/W6767211374","https://openalex.org/W6767279747","https://openalex.org/W6780226713","https://openalex.org/W6856549598"],"related_works":["https://openalex.org/W2384605597","https://openalex.org/W2387743295","https://openalex.org/W3082787378","https://openalex.org/W2136007095","https://openalex.org/W2366230879","https://openalex.org/W3208425359","https://openalex.org/W2349927912","https://openalex.org/W3159777597","https://openalex.org/W4212839359","https://openalex.org/W2115758952"],"abstract_inverted_index":{"Explanatory":[0],"Visual":[1,28],"Question":[2,29],"Answering":[3,30],"(EVQA)":[4],"is":[5],"a":[6,105,134,141,150,170],"recently":[7],"proposed":[8],"multimodal":[9,20,151,171],"reasoning":[10,24,56],"task":[11,32],"consisting":[12],"of":[13,55,80,116,144,190],"answering":[14],"the":[15,23,51,67,70,74,78,88,114,162,188,194],"visual":[16,40,94,156],"question":[17,71,92,136,158],"and":[18,53,64,72,96,123,157,160,178],"generating":[19],"explanations":[21,48],"for":[22,39,62,197],"processes.":[25],"Unlike":[26],"traditional":[27],"(VQA)":[31],"that":[33],"only":[34],"aims":[35,44],"at":[36],"predicting":[37],"answers":[38,118],"questions,":[41],"EVQA":[42,65,85],"also":[43],"to":[45,49,76,112,127,139,154,174],"generate":[46,128,179],"user-friendly":[47],"improve":[50],"explainability":[52],"credibility":[54],"models.":[57],"To":[58],"date,":[59],"existing":[60,84],"methods":[61,86,196],"VQA":[63],"ignore":[66,87],"prompt":[68],"in":[69,100],"enforce":[73],"model":[75],"predict":[77],"probabilities":[79],"all":[81],"answers.":[82,146,166],"Moreover,":[83],"complex":[89],"relationships":[90,126,177],"among":[91],"words,":[93],"regions,":[95],"explanation":[97,172],"tokens.":[98],"Therefore,":[99],"this":[101],"work,":[102],"we":[103,132,148,168],"propose":[104],"Logic":[106],"Integrated":[107],"Neural":[108],"Inference":[109],"Network":[110],"(LININ)":[111],"restrict":[113],"range":[115],"candidate":[117,145,165],"based":[119],"on":[120,164,184],"first-order-logic":[121],"(FOL)":[122],"capture":[124],"cross-modal":[125,176],"rational":[129,180],"explanations.":[130,181],"Firstly,":[131],"design":[133,169],"FOL-based":[135],"analysis":[137],"program":[138],"fetch":[140],"small":[142],"number":[143],"Secondly,":[147],"utilize":[149],"transformer":[152,173],"encoder":[153],"extract":[155],"features,":[159],"conduct":[161],"prediction":[163],"Finally,":[167],"construct":[175],"Comprehensive":[182],"experiments":[183],"benchmark":[185],"datasets":[186],"demonstrate":[187],"superiority":[189],"LININ":[191],"compared":[192],"with":[193],"state-of-the-art":[195],"EVQA.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
