{"id":"https://openalex.org/W4414360478","doi":"https://doi.org/10.24963/ijcai.2025/363","title":"Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction","display_name":"Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414360478","doi":"https://doi.org/10.24963/ijcai.2025/363"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/363","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","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/A5109660234","display_name":"Z. Z. Sheng","orcid":null},"institutions":[{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Zhi Sheng","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology (BNRist),","Department of Electronic Engineering, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist),","institution_ids":["https://openalex.org/I29955533"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Daisy Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Daisy Yuan","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology (BNRist),","Department of Electronic Engineering, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist),","institution_ids":["https://openalex.org/I29955533"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101809174","display_name":"Jingtao Ding","orcid":"https://orcid.org/0000-0003-1487-3470"},"institutions":[{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jingtao Ding","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology (BNRist),","Department of Electronic Engineering, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist),","institution_ids":["https://openalex.org/I29955533"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043755617","display_name":"Qi Yan","orcid":"https://orcid.org/0000-0002-5809-4199"},"institutions":[{"id":"https://openalex.org/I4210160618","display_name":"Huawei Technologies (United Kingdom)","ror":"https://ror.org/056gzgs71","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210160618"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qi Yan","raw_affiliation_strings":["Huawei Technologies Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd","institution_ids":["https://openalex.org/I4210160618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102127179","display_name":"Xi Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160618","display_name":"Huawei Technologies (United Kingdom)","ror":"https://ror.org/056gzgs71","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210160618"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xi Zheng","raw_affiliation_strings":["Huawei Technologies Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd","institution_ids":["https://openalex.org/I4210160618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101504926","display_name":"Yue Sun","orcid":"https://orcid.org/0000-0002-6810-1794"},"institutions":[{"id":"https://openalex.org/I4210160618","display_name":"Huawei Technologies (United Kingdom)","ror":"https://ror.org/056gzgs71","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210160618"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yue Sun","raw_affiliation_strings":["Huawei Technologies Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd","institution_ids":["https://openalex.org/I4210160618"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100711681","display_name":"Yong Li","orcid":"https://orcid.org/0000-0003-2278-6991"},"institutions":[{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology (BNRist),","Department of Electronic Engineering, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist),","institution_ids":["https://openalex.org/I29955533"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5109660234"],"corresponding_institution_ids":["https://openalex.org/I29955533","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.5983,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84421692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3263","last_page":"3271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9581000208854675,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.754800021648407},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5819000005722046},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.564300000667572},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4101000130176544},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.3889000117778778},{"id":"https://openalex.org/keywords/traffic-noise","display_name":"Traffic noise","score":0.3709000051021576},{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.3643999993801117},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.3555999994277954},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.35030001401901245}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7684000134468079},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.754800021648407},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5819000005722046},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.564300000667572},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4101000130176544},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.3889000117778778},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3779999911785126},{"id":"https://openalex.org/C2781353297","wikidata":"https://www.wikidata.org/wiki/Q1748361","display_name":"Traffic noise","level":3,"score":0.3709000051021576},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36469998955726624},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3646000027656555},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.3643999993801117},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.3555999994277954},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.35030001401901245},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34940001368522644},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.3310999870300293},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.3260999917984009},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3255999982357025},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.322299987077713},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3131999969482422},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C203234222","wikidata":"https://www.wikidata.org/wiki/Q2133519","display_name":"Noise power","level":3,"score":0.2567000091075897},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C95491727","wikidata":"https://www.wikidata.org/wiki/Q992968","display_name":"Mobile telephony","level":3,"score":0.2531000077724457},{"id":"https://openalex.org/C2776289891","wikidata":"https://www.wikidata.org/wiki/Q1931511","display_name":"Neglect","level":2,"score":0.2526000142097473},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/363","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"prediction":[1,154],"of":[2,25,75,95],"mobile":[3,26,108],"traffic,i.e.,":[4],"network":[5,15],"traffic":[6,109],"from":[7,133],"cellular":[8],"base":[9],"stations,":[10],"is":[11],"crucial":[12],"for":[13],"optimizing":[14],"performance":[16,171],"and":[17,32,40,113,126,144,162,191],"supporting":[18],"urban":[19],"development.":[20],"However,":[21],"the":[22,58,72,93,98,130,137],"non-stationary":[23],"nature":[24],"traffic,":[27],"driven":[28],"by":[29,91],"human":[30],"activity":[31],"environmental":[33],"changes,":[34],"leads":[35],"to":[36,53,56,80,140],"both":[37,142],"regular":[38,143],"patterns":[39],"abrupt":[41,145],"variations.":[42,146],"Diffusion":[43],"models":[44,184],"excel":[45],"in":[46,97,185],"capturing":[47],"such":[48],"complex":[49],"temporal":[50],"dynamics":[51],"due":[52],"their":[54],"ability":[55,139],"capture":[57,141],"inherent":[59],"uncertainties.":[60],"Most":[61],"existing":[62],"approaches":[63],"prioritize":[64],"designing":[65],"novel":[66,89],"denoising":[67,99],"networks":[68],"but":[69],"often":[70],"neglect":[71],"critical":[73],"role":[74,94],"noise":[76,96,105,123],"itself,":[77],"potentially":[78],"leading":[79],"sub-optimal":[81],"performance.":[82],"In":[83],"this":[84,186],"paper,":[85],"we":[86],"introduce":[87],"a":[88,119,178],"perspective":[90,180],"emphasizing":[92],"process.":[100],"Our":[101],"analysis":[102],"reveals":[103],"that":[104,121,158,167],"fundamentally":[106],"shapes":[107],"predictions,":[110],"exhibiting":[111],"distinct":[112],"consistent":[114],"patterns.":[115],"We":[116,188],"propose":[117],"NPDiff,":[118],"framework":[120],"decomposes":[122],"into":[124],"prior":[125,131],"residual":[127],"components,":[128],"with":[129,151,172],"derived":[132],"data":[134,192],"dynamics,":[135],"enhancing":[136],"model's":[138],"NPDiff":[147],"can":[148],"seamlessly":[149],"integrate":[150],"various":[152],"diffusion-based":[153],"models,":[155],"delivering":[156],"predictions":[157],"are":[159],"effective,":[160],"efficient,":[161],"robust.":[163],"Extensive":[164],"experiments":[165],"demonstrate":[166],"it":[168],"achieves":[169],"superior":[170],"an":[173],"improvement":[174],"over":[175],"30%,":[176],"offering":[177],"new":[179],"on":[181],"leveraging":[182],"diffusion":[183],"domain.":[187],"provide":[189],"code":[190],"at":[193],"https://github.com/tsinghua-fib-lab/NPDiff.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
