{"id":"https://openalex.org/W7127195132","doi":"https://doi.org/10.1109/trustcom66490.2025.00101","title":"PANDA-CDR: Perturbation-Aware and Neural Dual-Channel Alignment for Cross-Domain Recommendation","display_name":"PANDA-CDR: Perturbation-Aware and Neural Dual-Channel Alignment for Cross-Domain Recommendation","publication_year":2025,"publication_date":"2025-11-14","ids":{"openalex":"https://openalex.org/W7127195132","doi":"https://doi.org/10.1109/trustcom66490.2025.00101"},"language":null,"primary_location":{"id":"doi:10.1109/trustcom66490.2025.00101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/trustcom66490.2025.00101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 24th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)","raw_type":"proceedings-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/A5063712591","display_name":"Ruohan Wang","orcid":"https://orcid.org/0000-0002-5208-4555"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruohan Wang","raw_affiliation_strings":["Institute of Information Engineering,Chinese Academy of Sciences,Beijing,China,100092"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering,Chinese Academy of Sciences,Beijing,China,100092","institution_ids":["https://openalex.org/I4210156404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014782973","display_name":"Gaode Chen","orcid":"https://orcid.org/0000-0002-0619-1464"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaode Chen","raw_affiliation_strings":["Kuaishou Technology,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kuaishou Technology,Beijing,China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027369574","display_name":"Miaobo Hu","orcid":"https://orcid.org/0000-0002-6417-3280"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miaobo Hu","raw_affiliation_strings":["Institute of Information Engineering,Chinese Academy of Sciences,Beijing,China,100092"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering,Chinese Academy of Sciences,Beijing,China,100092","institution_ids":["https://openalex.org/I4210156404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124844025","display_name":"Ji Xiang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji Xiang","raw_affiliation_strings":["Institute of Information Engineering,Chinese Academy of Sciences,Beijing,China,100092"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering,Chinese Academy of Sciences,Beijing,China,100092","institution_ids":["https://openalex.org/I4210156404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108903773","display_name":"Ruixin Song","orcid":"https://orcid.org/0009-0009-1449-907X"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruixin Song","raw_affiliation_strings":["Guizhou University,State Key Laboratory of Public Big Data, College of Computer Science and Technology,Guiyang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guizhou University,State Key Laboratory of Public Big Data, College of Computer Science and Technology,Guiyang,China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103785663","display_name":"Cong Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Xue","raw_affiliation_strings":["Institute of Information Engineering,Chinese Academy of Sciences,Beijing,China,100092"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering,Chinese Academy of Sciences,Beijing,China,100092","institution_ids":["https://openalex.org/I4210156404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349000","display_name":"Linlin Wang","orcid":"https://orcid.org/0000-0002-6999-5056"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Institute of Information Engineering,Chinese Academy of Sciences,Beijing,China,100092"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering,Chinese Academy of Sciences,Beijing,China,100092","institution_ids":["https://openalex.org/I4210156404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124845972","display_name":"Haoyuan Teng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyuan Teng","raw_affiliation_strings":["Institute of Information Engineering,Chinese Academy of Sciences,Beijing,China,100092"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering,Chinese Academy of Sciences,Beijing,China,100092","institution_ids":["https://openalex.org/I4210156404"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.78105694,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"868","last_page":"877"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.8345999717712402,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.8345999717712402,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.03660000115633011,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.017899999395012856,"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/bottleneck","display_name":"Bottleneck","score":0.6628999710083008},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6243000030517578},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5971999764442444},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5965999960899353},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5709999799728394},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5435000061988831},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.4350999891757965},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.40540000796318054}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8431000113487244},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6628999710083008},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6243000030517578},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5971999764442444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.597100019454956},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5965999960899353},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5709999799728394},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5435000061988831},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4936999976634979},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.4350999891757965},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.40540000796318054},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.376800000667572},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.3402999937534332},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32850000262260437},{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.29350000619888306},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2572999894618988},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.257099986076355},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2542000114917755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/trustcom66490.2025.00101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/trustcom66490.2025.00101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 24th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1968463521","https://openalex.org/W2069870183","https://openalex.org/W2137728971","https://openalex.org/W2159094788","https://openalex.org/W2475334473","https://openalex.org/W2512971201","https://openalex.org/W2604433096","https://openalex.org/W2740605635","https://openalex.org/W2796608345","https://openalex.org/W2963367478","https://openalex.org/W2966873505","https://openalex.org/W2986176093","https://openalex.org/W2987219395","https://openalex.org/W3045200674","https://openalex.org/W3155450594","https://openalex.org/W3190386329","https://openalex.org/W3199751003","https://openalex.org/W3209943551","https://openalex.org/W4226072877","https://openalex.org/W4226253567","https://openalex.org/W4284679479","https://openalex.org/W4288083766","https://openalex.org/W4297971002","https://openalex.org/W4311185032","https://openalex.org/W4386190240","https://openalex.org/W4388210400","https://openalex.org/W4400065014","https://openalex.org/W4403577507","https://openalex.org/W4404376877","https://openalex.org/W4407753652","https://openalex.org/W4409366224","https://openalex.org/W4414034756"],"related_works":[],"abstract_inverted_index":{"Recommender":[0],"systems":[1],"have":[2],"been":[3],"widely":[4],"adopted":[5],"in":[6,14,110],"real-world":[7,95],"applications,":[8],"yet":[9],"they":[10],"still":[11],"face":[12],"challenges":[13],"addressing":[15],"the":[16,27],"cold-start":[17,28,105],"problem.":[18],"Cross-domain":[19],"recommendation":[20,108],"(CDR)":[21],"offers":[22],"a":[23,55],"promising":[24],"solution":[25],"to":[26,67,88],"problem":[29],"by":[30],"transferring":[31],"user":[32],"preferences":[33],"across":[34],"domains.":[35],"However,":[36],"existing":[37],"methods":[38],"often":[39],"rely":[40],"on":[41,94],"overlapping":[42],"users":[43],"or":[44],"biased":[45],"embeddings,":[46],"limiting":[47],"their":[48],"generalization":[49],"and":[50,64,85,106],"fairness.":[51],"We":[52],"propose":[53],"PANDA-CDR,":[54],"unified":[56],"CDR":[57],"framework":[58],"that":[59,98],"integrates":[60],"perturbation-guided":[61],"contrastive":[62],"bottleneck":[63],"dual-channel":[65],"disentanglement":[66],"learn":[68],"robust":[69],"transferable":[70],"semantics.":[71],"To":[72],"enhance":[73],"fairness,":[74],"especially":[75],"under":[76],"long-tail":[77,107],"distributions,":[78],"we":[79],"further":[80],"introduce":[81],"adversarial":[82],"domain":[83],"alignment":[84],"exposure-aware":[86],"reweighting":[87],"mitigate":[89],"popularity":[90],"bias.":[91],"Extensive":[92],"experiments":[93],"benchmarks":[96],"show":[97],"PANDA-CDR":[99],"achieves":[100],"state-of-the-art":[101],"performance":[102],"while":[103],"improving":[104],"fairness":[109],"sparse,":[111],"low-overlap":[112],"scenarios.":[113]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-03T00:00:00"}