{"id":"https://openalex.org/W7147565585","doi":"https://doi.org/10.1109/cnml68938.2026.11452305","title":"TuckerDiff: Fusing Tucker Decompositi on in Diffusion Model for High-Fidelity Radar Point Cloud Generation","display_name":"TuckerDiff: Fusing Tucker Decompositi on in Diffusion Model for High-Fidelity Radar Point Cloud Generation","publication_year":2026,"publication_date":"2026-01-30","ids":{"openalex":"https://openalex.org/W7147565585","doi":"https://doi.org/10.1109/cnml68938.2026.11452305"},"language":null,"primary_location":{"id":"doi:10.1109/cnml68938.2026.11452305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cnml68938.2026.11452305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Communication Networks and Machine Learning (CNML)","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/A5079348962","display_name":"Shuang Sun","orcid":"https://orcid.org/0009-0005-0038-7473"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuang Sun","raw_affiliation_strings":["Southwest University,College of Electronic and Information Engineering,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Southwest University,College of Electronic and Information Engineering,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114909860","display_name":"Tingkai Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingkai Hu","raw_affiliation_strings":["Southwest University,College of Electronic and Information Engineering,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Southwest University,College of Electronic and Information Engineering,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132731013","display_name":"Zixuan Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixuan Lu","raw_affiliation_strings":["Southwest University,College of Electronic and Information Engineering,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Southwest University,College of Electronic and Information Engineering,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132580352","display_name":"Zhen Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Luo","raw_affiliation_strings":["Southwest University,College of Electronic and Information Engineering,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Southwest University,College of Electronic and Information Engineering,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121567966","display_name":"Hailing Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailing Xiong","raw_affiliation_strings":["Southwest University,College of Electronic and Information Engineering,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Southwest University,College of Electronic and Information Engineering,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5079348962"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.87442423,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"803","last_page":"806"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.23520000278949738,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.23520000278949738,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11234","display_name":"Precipitation Measurement and Analysis","score":0.17000000178813934,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.14820000529289246,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6467000246047974},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.42879998683929443},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4223000109195709},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4212000072002411},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.40959998965263367},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.40700000524520874},{"id":"https://openalex.org/keywords/diffusion-map","display_name":"Diffusion map","score":0.39899998903274536},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.39410001039505005},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.3874000012874603}],"concepts":[{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6467000246047974},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6251000165939331},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48969998955726624},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4415999948978424},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.42879998683929443},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4223000109195709},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4212000072002411},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.40959998965263367},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.40700000524520874},{"id":"https://openalex.org/C55128770","wikidata":"https://www.wikidata.org/wiki/Q5275440","display_name":"Diffusion map","level":4,"score":0.39899998903274536},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3944000005722046},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.39410001039505005},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3874000012874603},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.3785000145435333},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.3756999969482422},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36880001425743103},{"id":"https://openalex.org/C42704193","wikidata":"https://www.wikidata.org/wiki/Q7851097","display_name":"Tucker decomposition","level":4,"score":0.36649999022483826},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.33629998564720154},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C81076408","wikidata":"https://www.wikidata.org/wiki/Q229387","display_name":"3D radar","level":5,"score":0.3163999915122986},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C161475128","wikidata":"https://www.wikidata.org/wiki/Q6746448","display_name":"Man-portable radar","level":5,"score":0.28130000829696655},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.2696000039577484},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C185565061","wikidata":"https://www.wikidata.org/wiki/Q6878284","display_name":"Radar lock-on","level":5,"score":0.25290000438690186},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cnml68938.2026.11452305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cnml68938.2026.11452305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Communication Networks and Machine Learning (CNML)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323711","display_name":"Southwest University","ror":"https://ror.org/01kj4z117"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2044375609","https://openalex.org/W2113638573","https://openalex.org/W2140515654","https://openalex.org/W3009950332","https://openalex.org/W3035708560","https://openalex.org/W3130401643","https://openalex.org/W3130465612","https://openalex.org/W3212616108","https://openalex.org/W4246139400","https://openalex.org/W4310727234","https://openalex.org/W4383066578","https://openalex.org/W4400487976"],"related_works":[],"abstract_inverted_index":{"Millimeter-wave":[0],"(mmWave)":[1],"radar":[2,17,43,83],"provides":[3],"robust":[4],"all-weather":[5],"sensing":[6],"capabilities,":[7],"but":[8],"often":[9],"produces":[10],"sparse":[11],"and":[12,21,70,99],"noisy":[13],"point":[14,94],"clouds.":[15],"Raw":[16],"signals":[18],"are":[19],"high-dimensional":[20],"challenging":[22],"to":[23,45],"embed":[24],"effectively,":[25],"posing":[26],"difficulties":[27],"for":[28,66],"learning-based":[29],"approaches.":[30],"To":[31],"address":[32],"this,":[33],"we":[34],"propose":[35],"TuckerDiff,":[36],"a":[37,47,59,71],"framework":[38],"that":[39,85],"directly":[40,80],"utilizes":[41],"raw":[42,82],"data":[44,84],"guide":[46],"Denoising":[48],"Diffusion":[49],"Probabilistic":[50],"Model":[51],"(DDPM).":[52],"The":[53],"method":[54],"integrates":[55],"two":[56],"complementary":[57],"features:":[58],"core":[60],"tensor":[61],"based":[62],"on":[63],"Tucker":[64],"decomposition":[65],"efficient":[67],"dimensionality":[68],"reduction,":[69],"2D":[72],"Direction-of-Arrival":[73],"(2D-DOA)":[74],"map":[75],"incorporating":[76],"physical":[77],"priors.":[78],"By":[79],"leveraging":[81],"retains":[86],"richer":[87],"information,":[88],"TuckerDiff":[89],"generates":[90],"dense,":[91],"LiDAR-like":[92],"3D":[93],"clouds,":[95],"achieving":[96],"state-of-the-art":[97],"fidelity":[98],"demonstrating":[100],"strong":[101],"generalization":[102],"in":[103],"real-world":[104],"scenarios.":[105]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-04-02T00:00:00"}