{"id":"https://openalex.org/W4306178465","doi":"https://doi.org/10.1145/3495243.3517016","title":"InFi","display_name":"InFi","publication_year":2022,"publication_date":"2022-10-14","ids":{"openalex":"https://openalex.org/W4306178465","doi":"https://doi.org/10.1145/3495243.3517016"},"language":"en","primary_location":{"id":"doi:10.1145/3495243.3517016","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3495243.3517016","pdf_url":null,"source":{"id":"https://openalex.org/S4363608994","display_name":"Proceedings of the 28th Annual International Conference on Mobile Computing And Networking","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th Annual International Conference on Mobile Computing And Networking","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/A5061278948","display_name":"Mu Yuan","orcid":"https://orcid.org/0000-0002-2624-8755"},"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":"Mu Yuan","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"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/A5100322320","display_name":"Lan Zhang","orcid":"https://orcid.org/0000-0003-1004-8588"},"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":"Lan Zhang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"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/A5100635369","display_name":"Fengxiang He","orcid":"https://orcid.org/0000-0001-5584-2385"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengxiang He","raw_affiliation_strings":["JD Explore Academy, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JD Explore Academy, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102880405","display_name":"Xueting Tong","orcid":"https://orcid.org/0009-0005-8343-9696"},"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":"Xueting Tong","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"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/A5100341802","display_name":"Xiang\u2010Yang Li","orcid":"https://orcid.org/0000-0002-6070-6625"},"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":"Xiang-Yang Li","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"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":null,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"228","last_page":"241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9965000152587891,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9965000152587891,"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":0.9948999881744385,"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/T11309","display_name":"Music and Audio Processing","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7921447157859802},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6150686740875244},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5639359354972839},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.45319899916648865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44582968950271606},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4356039762496948},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.42024126648902893},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3646710515022278},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3522052764892578},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3269115686416626}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7921447157859802},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6150686740875244},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5639359354972839},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.45319899916648865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44582968950271606},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4356039762496948},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.42024126648902893},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3646710515022278},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3522052764892578},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3269115686416626},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3495243.3517016","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3495243.3517016","pdf_url":null,"source":{"id":"https://openalex.org/S4363608994","display_name":"Proceedings of the 28th Annual International Conference on Mobile Computing And Networking","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th Annual International Conference on Mobile Computing And Networking","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1980285867","display_name":null,"funder_award_id":"2018YFB0803400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W134960717","https://openalex.org/W1559362691","https://openalex.org/W1832693441","https://openalex.org/W1861492603","https://openalex.org/W2031457979","https://openalex.org/W2052666245","https://openalex.org/W2122646361","https://openalex.org/W2138621090","https://openalex.org/W2145287260","https://openalex.org/W2193413348","https://openalex.org/W2194775991","https://openalex.org/W2468875367","https://openalex.org/W2520774990","https://openalex.org/W2525716660","https://openalex.org/W2531409750","https://openalex.org/W2553870915","https://openalex.org/W2596378825","https://openalex.org/W2609285553","https://openalex.org/W2743138268","https://openalex.org/W2752236330","https://openalex.org/W2784540000","https://openalex.org/W2789383786","https://openalex.org/W2886851211","https://openalex.org/W2887117815","https://openalex.org/W2889402930","https://openalex.org/W2896985569","https://openalex.org/W2905207581","https://openalex.org/W2910776806","https://openalex.org/W2913507876","https://openalex.org/W2962804345","https://openalex.org/W2963163009","https://openalex.org/W2963265461","https://openalex.org/W2963918968","https://openalex.org/W2964015640","https://openalex.org/W2980786075","https://openalex.org/W2980856918","https://openalex.org/W2985884876","https://openalex.org/W3018105153","https://openalex.org/W3029775758","https://openalex.org/W3034457371","https://openalex.org/W3035204084","https://openalex.org/W3046256272","https://openalex.org/W3101962329","https://openalex.org/W3109496323","https://openalex.org/W3116627681","https://openalex.org/W3126974104","https://openalex.org/W3147954149","https://openalex.org/W3172863135","https://openalex.org/W3176659256","https://openalex.org/W3196974791","https://openalex.org/W3215698464","https://openalex.org/W4205720575","https://openalex.org/W4210880854","https://openalex.org/W4238284510","https://openalex.org/W4394804224","https://openalex.org/W6949549905"],"related_works":["https://openalex.org/W2045049461","https://openalex.org/W1978893398","https://openalex.org/W2201908702","https://openalex.org/W4381094582","https://openalex.org/W2369625323","https://openalex.org/W2364579609","https://openalex.org/W1977906818","https://openalex.org/W1522139108","https://openalex.org/W2353528968","https://openalex.org/W2032776242"],"abstract_inverted_index":{"Mobile-centric":[0],"AI":[1],"applications":[2],"put":[3],"forward":[4],"high":[5],"requirements":[6],"for":[7,39,68,86,231],"resource-efficiency":[8],"of":[9,31,51,59,75,103,114,126],"model":[10,183],"inference.":[11,32],"Input":[12],"filtering":[13,61,81,106,138,164],"is":[14,172],"a":[15,100,232],"promising":[16],"approach":[17],"to":[18,27,55,78,82,121,175,211],"eliminate":[19],"the":[20,23,29,57,65,104,111,123,133,173],"redundancy":[21],"in":[22,148,205],"input":[24,60,80,91,105,119,128,137,163,169],"so":[25],"as":[26],"reduce":[28],"cost":[30,67],"Previous":[33],"efforts":[34],"have":[35],"tailored":[36],"effective":[37,85],"solutions":[38],"many":[40],"applications,":[41],"but":[42],"left":[43],"two":[44],"essential":[45],"questions":[46],"unanswered:":[47],"(1)":[48],"theoretical":[49,196],"filterability":[50],"an":[52,162],"inference":[53,88,115],"workload":[54],"guide":[56],"application":[58],"techniques,":[62],"thereby":[63],"avoiding":[64],"trial-and-error":[66],"resource-constrained":[69],"mobile":[70,190,237],"applications;":[71],"(2)":[72],"robust":[73,152],"discriminability":[74],"feature":[76,149],"embedding":[77,150],"allow":[79],"be":[83],"widely":[84,186],"diverse":[87],"tasks":[89],"and":[90,108,117,145,160,178,182,198,208,214,222],"content.":[92],"To":[93],"answer":[94],"these":[95],"questions,":[96],"we":[97,131,158],"first":[98,134,174],"provide":[99],"generic":[101],"formalization":[102],"problem":[107],"theoretically":[109],"compare":[110],"hypothesis":[112],"complexity":[113],"models":[116],"their":[118],"filters":[120],"understand":[122],"optimization":[124],"potential":[125],"applying":[127],"filtering.":[129],"Then":[130],"propose":[132],"end-to-end":[135,215],"learnable":[136],"framework":[139],"that":[140,200],"covers":[141],"most":[142],"state-of-the-art":[143],"methods":[144],"surpasses":[146],"them":[147],"with":[151],"discriminability.":[153],"Based":[154],"on":[155,236],"our":[156,195],"framework,":[157],"design":[159],"implement":[161],"system":[165],"InFi":[166,171,201,217],"supporting":[167],"six":[168],"modalities.":[170],"support":[176],"text":[177],"sensor":[179],"signal":[180],"inputs":[181],"partitioning":[184],"deployments":[185],"adopted":[187],"by":[188],"under-resourced":[189],"systems.":[191],"Comprehensive":[192],"evaluations":[193],"confirm":[194],"results":[197],"show":[199],"outperforms":[202],"strong":[203],"baselines":[204],"applicability,":[206],"accuracy,":[207,230],"efficiency,":[209],"owing":[210],"its":[212],"generality":[213],"learnability.":[216],"can":[218],"achieve":[219],"8.5X":[220],"throughput":[221],"save":[223],"95%":[224],"bandwidth,":[225],"while":[226],"keeping":[227],"over":[228],"90%":[229],"video":[233],"analytics":[234],"app":[235],"platforms.":[238]},"counts_by_year":[{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":9}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2022-10-14T00:00:00"}