{"id":"https://openalex.org/W7220938643","doi":"https://doi.org/10.1109/iswcs69382.2026.11714127","title":"Cross-Modal Semantic Fusion and Compression for Multimodal Semantic Communication","display_name":"Cross-Modal Semantic Fusion and Compression for Multimodal Semantic Communication","publication_year":2026,"publication_date":"2026-08-01","ids":{"openalex":"https://openalex.org/W7220938643","doi":"https://doi.org/10.1109/iswcs69382.2026.11714127"},"language":"en","primary_location":{"id":"doi:10.1109/iswcs69382.2026.11714127","doi":"https://doi.org/10.1109/iswcs69382.2026.11714127","is_oa":true,"landing_page_url":"https://doi.org/10.1109/iswcs69382.2026.11714127","pdf_url":null,"source":{"id":"https://openalex.org/S4306420236","display_name":"International Symposium on Wireless Communication Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 20th International Symposium on Wireless Communication Systems (ISWCS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/iswcs69382.2026.11714127","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101948524","display_name":"Jianfeng Yang","orcid":"https://orcid.org/0009-0004-1782-3115","observed_orcids":["https://orcid.org/0009-0004-1782-3115"]},"institutions":[{"id":"https://openalex.org/I36819085","display_name":"Northwest University","ror":"https://ror.org/00y7snj24","country_code":"US","type":"education","lineage":["https://openalex.org/I36819085"]},{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jianfeng Yang","raw_affiliation_strings":["College of Computer Science, Northwest University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Northwest University","institution_ids":["https://openalex.org/I36819085","https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5157961313","display_name":"Jie Zheng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I36819085","display_name":"Northwest University","ror":"https://ror.org/00y7snj24","country_code":"US","type":"education","lineage":["https://openalex.org/I36819085"]},{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jie Zheng","raw_affiliation_strings":["College of Computer Science, Northwest University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Northwest University","institution_ids":["https://openalex.org/I36819085","https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101748270","display_name":"Rui Cao","orcid":"https://orcid.org/0000-0001-6279-2267","observed_orcids":["https://orcid.org/0000-0001-6279-2267","https://orcid.org/0009-0000-7171-5079","https://orcid.org/0009-0005-9742-134X"]},"institutions":[{"id":"https://openalex.org/I36819085","display_name":"Northwest University","ror":"https://ror.org/00y7snj24","country_code":"US","type":"education","lineage":["https://openalex.org/I36819085"]},{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Rui Cao","raw_affiliation_strings":["College of Computer Science, Northwest University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Northwest University","institution_ids":["https://openalex.org/I36819085","https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5157974782","display_name":"Tianmeng Feng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I36819085","display_name":"Northwest University","ror":"https://ror.org/00y7snj24","country_code":"US","type":"education","lineage":["https://openalex.org/I36819085"]},{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Tianmeng Feng","raw_affiliation_strings":["College of Computer Science, Northwest University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Northwest University","institution_ids":["https://openalex.org/I36819085","https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014671421","display_name":"\u5d14\u78a7\u6e05","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I36819085","display_name":"Northwest University","ror":"https://ror.org/00y7snj24","country_code":"US","type":"education","lineage":["https://openalex.org/I36819085"]},{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Biqing Cui","raw_affiliation_strings":["College of Computer Science, Northwest University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Northwest University","institution_ids":["https://openalex.org/I36819085","https://openalex.org/I37802460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5157890053","display_name":"Lvhang Wen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I36819085","display_name":"Northwest University","ror":"https://ror.org/00y7snj24","country_code":"US","type":"education","lineage":["https://openalex.org/I36819085"]},{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Lvhang Wen","raw_affiliation_strings":["College of Computer Science, Northwest University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Northwest University","institution_ids":["https://openalex.org/I36819085","https://openalex.org/I37802460"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.44999998807907104,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.44999998807907104,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.35350000858306885,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.04540000110864639,"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/semantic-communication","display_name":"semantic communication","score":0.9480000138282776},{"id":"https://openalex.org/keywords/semantic-compression","display_name":"semantic compression","score":0.6069999933242798},{"id":"https://openalex.org/keywords/cross-modal-fusion","display_name":"cross-modal fusion","score":0.8539999723434448},{"id":"https://openalex.org/keywords/cross-attention","display_name":"cross-attention","score":0.8190000057220459},{"id":"https://openalex.org/keywords/masked-autoencoder","display_name":"masked autoencoder","score":0.7870000004768372},{"id":"https://openalex.org/keywords/transformer","display_name":"transformer models","score":0.382999986410141},{"id":"https://openalex.org/keywords/signal-to-noise-ratio-robustness","display_name":"signal-to-noise ratio robustness","score":0.7940000295639038}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7373999953269958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5307000279426575},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5250999927520752},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48989999294281006},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4309000074863434},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3840999901294708},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2992999851703644},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.29910001158714294},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.26109999418258667}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iswcs69382.2026.11714127","doi":"https://doi.org/10.1109/iswcs69382.2026.11714127","is_oa":true,"landing_page_url":"https://doi.org/10.1109/iswcs69382.2026.11714127","pdf_url":null,"source":{"id":"https://openalex.org/S4306420236","display_name":"International Symposium on Wireless Communication Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 20th International Symposium on Wireless Communication Systems (ISWCS)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/iswcs69382.2026.11714127","doi":"https://doi.org/10.1109/iswcs69382.2026.11714127","is_oa":true,"landing_page_url":"https://doi.org/10.1109/iswcs69382.2026.11714127","pdf_url":null,"source":{"id":"https://openalex.org/S4306420236","display_name":"International Symposium on Wireless Communication Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 20th International Symposium on Wireless Communication Systems (ISWCS)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W3036851434","https://openalex.org/W3145602566","https://openalex.org/W3187418919","https://openalex.org/W4226002507","https://openalex.org/W4226189850","https://openalex.org/W4312766166","https://openalex.org/W4312958552","https://openalex.org/W4388937137","https://openalex.org/W4392152808","https://openalex.org/W4396680708","https://openalex.org/W4402753886","https://openalex.org/W4404295452","https://openalex.org/W4406311236","https://openalex.org/W4411600208","https://openalex.org/W4417470000","https://openalex.org/W7123338656","https://openalex.org/W7128060476","https://openalex.org/W7138880352","https://openalex.org/W7154565866","https://openalex.org/W7160077773"],"related_works":["https://openalex.org/W7168294247","https://openalex.org/W7164926531","https://openalex.org/W7167028522","https://openalex.org/W7168392974","https://openalex.org/W7165614297","https://openalex.org/W7168292414","https://openalex.org/W7170892478","https://openalex.org/W7164881879","https://openalex.org/W3175318336","https://openalex.org/W7138921906"],"abstract_inverted_index":{"Semantic":[0],"communication":[1,48],"has":[2],"emerged":[3],"as":[4,122,124],"a":[5,45,56,68],"paradigm":[6],"shift":[7],"in":[8,33],"information":[9,99],"transmission,":[10],"enabled":[11],"by":[12],"semanticlevel":[13],"compression.":[14,53],"However,":[15],"existing":[16,135],"multimodal":[17,46,57,106],"approaches":[18],"struggle":[19],"with":[20,50,86,134],"heterogeneous":[21],"data":[22,116],"transmission":[23],"and":[24,36,66,77,80,96,119],"fail":[25],"to":[26,71,91],"fully":[27],"exploit":[28],"inter-modal":[29],"semantic":[30,47,59,64,73,94],"correlations,":[31],"resulting":[32],"limited":[34],"compression":[35,58,120],"reconstruction":[37,117],"accuracy.":[38],"To":[39],"this":[40,42],"end,":[41],"paper":[43],"proposes":[44],"method":[49,112],"Transformer-driven":[51],"fusion":[52],"We":[54],"design":[55],"neural":[60],"network":[61],"framework":[62],"for":[63],"communication,":[65],"adopt":[67],"cross-attention":[69],"mechanism":[70],"capture":[72],"relationships":[74],"between":[75],"text":[76],"image":[78,93],"modalities,":[79],"introduce":[81],"an":[82,87],"image-oriented":[83],"masked":[84],"autoencoder":[85],"asymmetric":[88],"encoder-decoder":[89],"structure":[90],"suppress":[92],"dominance":[95],"reduce":[97],"redundant":[98],"during":[100],"fusion.":[101],"Experimental":[102],"results":[103],"on":[104],"multiple":[105],"datasets":[107],"demonstrate":[108],"that":[109],"our":[110],"proposed":[111],"can":[113],"achieve":[114],"superior":[115],"accuracy":[118],"efficiency,":[121],"well":[123],"improved":[125],"model":[126],"robustness":[127],"under":[128],"varying":[129],"signal-to-noise":[130],"ratio":[131],"conditions,":[132],"compared":[133],"models.":[136]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-10-09T00:00:00"}