{"id":"https://openalex.org/W7161605512","doi":"https://doi.org/10.48550/arxiv.2605.15550","title":"TG-DIN: Theory-Guided Demand Inference Network for Generalizable QoS Measurement and Prediction","display_name":"TG-DIN: Theory-Guided Demand Inference Network for Generalizable QoS Measurement and Prediction","publication_year":2026,"publication_date":"2026-05-15","ids":{"openalex":"https://openalex.org/W7161605512","doi":"https://doi.org/10.48550/arxiv.2605.15550"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.15550","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15550","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.15550","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136393961","display_name":"Fuliang Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Fuliang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136446951","display_name":"Feng Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Feng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.46549999713897705,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10138","display_name":"Network Traffic and Congestion Control","score":0.46549999713897705,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.1469999998807907,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T13553","display_name":"Age of Information Optimization","score":0.03920000046491623,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/inference","display_name":"Inference","score":0.7174000144004822},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5600000023841858},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.5421000123023987},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.48989999294281006},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.4607999920845032},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4424000084400177},{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.4375},{"id":"https://openalex.org/keywords/on-demand","display_name":"On demand","score":0.38019999861717224},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.3716000020503998}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7671999931335449},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7174000144004822},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5600000023841858},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.5421000123023987},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.48989999294281006},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.4607999920845032},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4424000084400177},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.4375},{"id":"https://openalex.org/C2983523559","wikidata":"https://www.wikidata.org/wiki/Q410657","display_name":"On demand","level":2,"score":0.38019999861717224},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.3716000020503998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3709999918937683},{"id":"https://openalex.org/C195563490","wikidata":"https://www.wikidata.org/wiki/Q180368","display_name":"Network congestion","level":3,"score":0.3695000112056732},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3504999876022339},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.34459999203681946},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3398999869823456},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33970001339912415},{"id":"https://openalex.org/C155108698","wikidata":"https://www.wikidata.org/wiki/Q1231081","display_name":"Randomized experiment","level":2,"score":0.33649998903274536},{"id":"https://openalex.org/C2781007418","wikidata":"https://www.wikidata.org/wiki/Q1456934","display_name":"Capacity planning","level":2,"score":0.3294999897480011},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.32820001244544983},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C32597650","wikidata":"https://www.wikidata.org/wiki/Q5255044","display_name":"Demand patterns","level":3,"score":0.28610000014305115},{"id":"https://openalex.org/C32848918","wikidata":"https://www.wikidata.org/wiki/Q845789","display_name":"Observable","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2696000039577484},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2583000063896179},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.15550","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15550","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.15550","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15550","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"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":{"In":[0],"this":[1],"paper,":[2],"we":[3],"introduce":[4],"TG-DIN,":[5],"a":[6,47,90],"theory-guided":[7,164],"demand":[8,15,35,66,109,121],"inference":[9,171],"network":[10,18,174],"that":[11,67,95,115],"infers":[12],"latent":[13,34],"user":[14,65],"from":[16],"observable":[17,44],"quality-of-service":[19],"(QoS)":[20],"measurements.":[21],"Rather":[22],"than":[23],"directly":[24,69,143],"predicting":[25],"QoS":[26],"outcomes":[27],"using":[28],"black-box":[29],"models,":[30],"TG-DIN":[31,116,148],"explicitly":[32],"models":[33],"as":[36,75],"an":[37,60],"intermediate":[38],"variable":[39],"and":[40,54,82,123,141],"links":[41],"it":[42],"to":[43,71,99,144],"behavior":[45],"through":[46],"differentiable":[48],"theory":[49,86],"layer":[50,87],"grounded":[51],"in":[52,154,172],"scheduling":[53],"queuing":[55],"principles.":[56],"This":[57],"design":[58],"yields":[59],"interpretable,":[61],"mechanism-consistent":[62],"representation":[63],"of":[64,163],"is":[68],"applicable":[70],"downstream":[72],"tasks":[73],"such":[74],"congestion":[76],"diagnosis,":[77],"resource":[78],"allocation,":[79],"capacity":[80],"planning,":[81],"policy":[83],"evaluation.":[84],"The":[85],"further":[88],"enables":[89],"principled":[91],"randomized":[92],"training":[93],"regime":[94],"exposes":[96],"the":[97,161],"model":[98],"diverse":[100],"yet":[101],"physically":[102],"meaningful":[103],"operating":[104],"conditions":[105],"without":[106],"requiring":[107],"labeled":[108],"data.":[110],"Extensive":[111],"synthetic":[112,139],"experiments":[113],"show":[114],"generalizes":[117],"robustly":[118],"across":[119],"capacities,":[120],"levels,":[122],"traffic":[124],"patterns,":[125],"substantially":[126],"outperforming":[127],"purely":[128],"data-driven":[129],"baselines":[130],"under":[131],"distribution":[132],"shift.":[133],"Moreover,":[134],"when":[135],"trained":[136],"exclusively":[137],"on":[138],"data":[140],"applied":[142],"real":[145],"packet":[146],"traces,":[147],"accurately":[149],"recovers":[150],"per-user":[151],"allocation":[152],"structure":[153],"shared-link":[155],"scenarios.":[156],"Together,":[157],"these":[158],"results":[159],"demonstrate":[160],"effectiveness":[162],"inductive":[165],"biases":[166],"for":[167],"achieving":[168],"transferable,":[169],"deployment-ready":[170],"dynamic":[173],"environments.":[175]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-19T00:00:00"}