{"id":"https://openalex.org/W4411403467","doi":"https://doi.org/10.1145/3729495","title":"Deconfounding Causal Inference through Two-branch Framework with Early-forking for Sensor-based Cross-domain Activity Recognition","display_name":"Deconfounding Causal Inference through Two-branch Framework with Early-forking for Sensor-based Cross-domain Activity Recognition","publication_year":2025,"publication_date":"2025-06-09","ids":{"openalex":"https://openalex.org/W4411403467","doi":"https://doi.org/10.1145/3729495"},"language":"en","primary_location":{"id":"doi:10.1145/3729495","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3729495","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"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 ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","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/A5109766690","display_name":"Di Xiong","orcid":"https://orcid.org/0009-0009-6445-7863"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Di Xiong","raw_affiliation_strings":["School of Electrical and Automation Engineering, Nanjing Normal University, Jiang Su, China"],"raw_orcid":"https://orcid.org/0009-0009-6445-7863","affiliations":[{"raw_affiliation_string":"School of Electrical and Automation Engineering, Nanjing Normal University, Jiang Su, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076127071","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0001-8749-7459"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["School of Electrical and Automation Engineering, Nanjing Normal University, Naning, Jiang Su, China"],"raw_orcid":"https://orcid.org/0000-0001-8749-7459","affiliations":[{"raw_affiliation_string":"School of Electrical and Automation Engineering, Nanjing Normal University, Naning, Jiang Su, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075634816","display_name":"Shuoyuan Wang","orcid":"https://orcid.org/0000-0003-1795-4161"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuoyuan Wang","raw_affiliation_strings":["Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, Guang Dong, China"],"raw_orcid":"https://orcid.org/0000-0003-1795-4161","affiliations":[{"raw_affiliation_string":"Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, Guang Dong, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090593667","display_name":"Dongzhou Cheng","orcid":"https://orcid.org/0000-0003-1575-6292"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongzhou Cheng","raw_affiliation_strings":["School of Cyber Science and Engineering, Southeast University, Naning, Jiang Su, China"],"raw_orcid":"https://orcid.org/0000-0003-1575-6292","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Southeast University, Naning, Jiang Su, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007736553","display_name":"Wenbo Huang","orcid":"https://orcid.org/0000-0002-6664-1172"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Huang","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Naning, Jiang Su, China"],"raw_orcid":"https://orcid.org/0000-0002-6664-1172","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Naning, Jiang Su, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5109766690"],"corresponding_institution_ids":["https://openalex.org/I152031979"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11278887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"2","first_page":"1","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998000264167786,"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":0.9998000264167786,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9825999736785889,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9688000082969666,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6812185049057007},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.6397846341133118},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6259077787399292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5560963749885559},{"id":"https://openalex.org/keywords/casual","display_name":"Casual","score":0.533218264579773},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.5059191584587097},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43126699328422546},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3964868485927582},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39179742336273193},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32735174894332886},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32431191205978394},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18035635352134705},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.10959041118621826}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6812185049057007},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.6397846341133118},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6259077787399292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5560963749885559},{"id":"https://openalex.org/C2781426162","wikidata":"https://www.wikidata.org/wiki/Q2275793","display_name":"Casual","level":2,"score":0.533218264579773},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.5059191584587097},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43126699328422546},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3964868485927582},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39179742336273193},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32735174894332886},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32431191205978394},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18035635352134705},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.10959041118621826},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3729495","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3729495","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"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 ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"},{"score":0.4300000071525574,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G6865255506","display_name":null,"funder_award_id":"62373194","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W134960717","https://openalex.org/W1638081485","https://openalex.org/W2026297770","https://openalex.org/W2105046342","https://openalex.org/W2122124659","https://openalex.org/W2123504417","https://openalex.org/W2145343602","https://openalex.org/W2194775991","https://openalex.org/W2270470215","https://openalex.org/W2395297441","https://openalex.org/W2736191430","https://openalex.org/W2753738274","https://openalex.org/W2810685774","https://openalex.org/W2894702700","https://openalex.org/W2941733427","https://openalex.org/W2947898397","https://openalex.org/W2963214104","https://openalex.org/W2964288524","https://openalex.org/W3003860764","https://openalex.org/W3037198159","https://openalex.org/W3038585207","https://openalex.org/W3044326989","https://openalex.org/W3127512060","https://openalex.org/W3153322229","https://openalex.org/W3153511633","https://openalex.org/W3171007011","https://openalex.org/W3174812227","https://openalex.org/W3176726917","https://openalex.org/W3179971958","https://openalex.org/W3189054838","https://openalex.org/W3189951784","https://openalex.org/W3200829394","https://openalex.org/W3207999419","https://openalex.org/W4200301490","https://openalex.org/W4214527475","https://openalex.org/W4214736652","https://openalex.org/W4283827531","https://openalex.org/W4285248638","https://openalex.org/W4289517877","https://openalex.org/W4289639938","https://openalex.org/W4304098232","https://openalex.org/W4312232143","https://openalex.org/W4312774735","https://openalex.org/W4312908248","https://openalex.org/W4385644512","https://openalex.org/W4388092572","https://openalex.org/W4390813640","https://openalex.org/W4396558916","https://openalex.org/W6678276431","https://openalex.org/W6745136726","https://openalex.org/W6791875987"],"related_works":["https://openalex.org/W1005754617","https://openalex.org/W756683672","https://openalex.org/W2979523788","https://openalex.org/W2014044877","https://openalex.org/W3141514971","https://openalex.org/W1673318806","https://openalex.org/W3123942159","https://openalex.org/W2574301230","https://openalex.org/W1547624382","https://openalex.org/W4320159092"],"abstract_inverted_index":{"Recently,":[0],"domain":[1,132,143],"generalization":[2],"(DG)":[3],"has":[4],"emerged":[5],"as":[6,53,79],"a":[7,54,80,86,141],"promising":[8],"solution":[9],"to":[10,125,137,148],"mitigate":[11],"distribution-shift":[12],"issue":[13],"in":[14,191],"sensor-based":[15],"human":[16],"activity":[17,37,68,93,193],"recognition":[18,194],"(HAR)":[19],"scenario.":[20,195],"However,":[21],"most":[22],"existing":[23],"DG-based":[24,77],"works":[25],"have":[26],"merely":[27],"focused":[28],"on":[29,154],"modeling":[30],"statistical":[31],"dependence":[32],"between":[33],"sensor":[34,48],"data":[35],"and":[36,59,114,173,178,189],"labels,":[38],"neglecting":[39],"the":[40,65],"importance":[41],"of":[42,56],"intrinsic":[43],"casual":[44,81,113,183],"mechanism.":[45],"Intuitively,":[46],"every":[47],"input":[49],"can":[50],"be":[51],"viewed":[52],"mixture":[55],"causal":[57],"(category-aware)":[58],"non-causal":[60,115],"factors":[61],"(domain-specific),":[62],"where":[63,104],"only":[64],"former":[66],"affects":[67],"classification":[69],"judgment.":[70],"In":[71],"this":[72,96],"paper,":[73],"by":[74],"casting":[75],"such":[76],"HAR":[78,157],"inference":[82],"problem,":[83],"we":[84],"propose":[85],"causality-inspired":[87,162],"representation":[88,150],"learning":[89,112],"algorithm":[90],"for":[91,111],"cross-domain":[92,192],"recognition.":[94],"To":[95],"end,":[97],"an":[98,118,130],"early-forking":[99],"two-branch":[100],"framework":[101],"is":[102,123,135,146],"designed,":[103],"two":[105],"separate":[106],"branches":[107],"are":[108],"respectively":[109],"responsible":[110],"features,":[116],"while":[117,140],"independence-based":[119],"Hilbert-Schmidt":[120],"Information":[121],"Criterion":[122],"employed":[124],"implicitly":[126],"disentangling":[127],"them.":[128],"Additionally,":[129],"inhomogeneous":[131],"sampling":[133],"strategy":[134],"designed":[136],"enhance":[138],"disentanglement,":[139],"category-aware":[142],"perturbation":[144],"layer":[145],"performed":[147],"prevent":[149],"collapse.":[151],"Extensive":[152],"experiments":[153],"several":[155],"public":[156],"benchmarks":[158],"demonstrate":[159],"that":[160],"our":[161],"approach":[163],"significantly":[164],"outperforms":[165],"eleven":[166],"related":[167],"state-of-the-art":[168],"baselines":[169],"under":[170],"cross-person,":[171],"cross-dataset,":[172],"cross-position":[174],"settings.":[175],"Detailed":[176],"ablation":[177],"visualizations":[179],"analyses":[180],"reveal":[181],"underlying":[182],"mechanism,":[184],"indicating":[185],"its":[186],"effectiveness,":[187],"efficiency,":[188],"universality":[190]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}