{"id":"https://openalex.org/W7156000589","doi":"https://doi.org/10.1145/3774904.3792150","title":"MoE-LC: General-Purpose Lossless Compression for Multi-modal Data via Entropy-Aware Multi-Experts","display_name":"MoE-LC: General-Purpose Lossless Compression for Multi-modal Data via Entropy-Aware Multi-Experts","publication_year":2026,"publication_date":"2026-04-12","ids":{"openalex":"https://openalex.org/W7156000589","doi":"https://doi.org/10.1145/3774904.3792150"},"language":null,"primary_location":{"id":"doi:10.1145/3774904.3792150","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792150","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774904.3792150","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134749167","display_name":"Zeyi Lu","orcid":"https://orcid.org/0009-0006-2880-8011"},"institutions":[{"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"],"is_corresponding":true,"raw_author_name":"Zeyi Lu","raw_affiliation_strings":["Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0006-2880-8011","affiliations":[{"raw_affiliation_string":"Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102756631","display_name":"Xi Ma","orcid":"https://orcid.org/0000-0003-4708-8356"},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Xiaoxiao Ma","raw_affiliation_strings":["Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0001-2911-4605","affiliations":[{"raw_affiliation_string":"Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070032815","display_name":"Yujun Huang","orcid":"https://orcid.org/0000-0002-2763-6776"},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Yujun Huang","raw_affiliation_strings":["Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9506-1265","affiliations":[{"raw_affiliation_string":"Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104278890","display_name":"Minxiao Chen","orcid":"https://orcid.org/0009-0004-0476-6174"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minxiao Chen","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-0476-6174","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427338","display_name":"Bin Chen","orcid":"https://orcid.org/0000-0002-4798-230X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Chen","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4798-230X","affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5134679256","display_name":"Shu-Tao Xia","orcid":"https://orcid.org/0000-0002-8639-982X"},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Shu-Tao Xia","raw_affiliation_strings":["Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-8639-982X","affiliations":[{"raw_affiliation_string":"Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5134749167"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.96050544,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5111","last_page":"5119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.33980000019073486,"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":0.33980000019073486,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.13120000064373016,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.12950000166893005,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/lossless-compression","display_name":"Lossless compression","score":0.7656000256538391},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.652899980545044},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6116999983787537},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.567799985408783},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5432999730110168},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.41749998927116394},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.41609999537467957},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.3944000005722046},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.38850000500679016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7975000143051147},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.7656000256538391},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.652899980545044},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6116999983787537},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.567799985408783},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5432999730110168},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4487999975681305},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.41749998927116394},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.41609999537467957},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.413100004196167},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.3944000005722046},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.38850000500679016},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.37709999084472656},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3578000068664551},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.34279999136924744},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.33000001311302185},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.31619998812675476},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.31520000100135803},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30959999561309814},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.29919999837875366},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.2921999990940094},{"id":"https://openalex.org/C57890076","wikidata":"https://www.wikidata.org/wiki/Q4680725","display_name":"Adaptive coding","level":4,"score":0.29030001163482666},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.2621999979019165},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2619999945163727},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774904.3792150","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792150","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774904.3792150","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792150","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4483696222305298}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1777016212","https://openalex.org/W1995875735","https://openalex.org/W2025653905","https://openalex.org/W2060108852","https://openalex.org/W2129652681","https://openalex.org/W2150884987","https://openalex.org/W2161628678","https://openalex.org/W2918939944","https://openalex.org/W3094858795","https://openalex.org/W4396601697","https://openalex.org/W4400111135","https://openalex.org/W4411403353","https://openalex.org/W4414360441"],"related_works":[],"abstract_inverted_index":{"The":[0],"web-scale":[1],"surge":[2],"of":[3,51,115],"multimodal":[4],"content,":[5],"including":[6],"short-video":[7],"feeds":[8],"and":[9,22,26,42,80,129,170],"autonomous":[10],"sensing":[11],"streams,":[12],"has":[13],"made":[14],"web-native":[15],"lossless":[16,72],"compression":[17,73,122,153,168],"a":[18,66,94,180],"prerequisite":[19],"for":[20,70,183],"delivery":[21],"storage":[23],"across":[24,39,157],"browsers":[25],"edge\u2013cloud":[27],"pipelines.":[28],"However,":[29],"existing":[30],"methods":[31],"often":[32],"fail":[33],"to":[34,36,44,118,143,176],"adapt":[35],"shifting":[37],"distributions":[38,79],"different":[40],"batches":[41],"struggle":[43],"balance":[45],"computational":[46,130],"resources":[47],"in":[48,167,173],"the":[49,85,105,113,119,133,144],"face":[50],"large":[52],"conditional":[53],"entropy":[54],"disparities":[55],"among":[56],"diverse":[57],"modalities.":[58],"To":[59],"address":[60],"these":[61],"limitations,":[62],"we":[63],"propose":[64],"MoE-LC,":[65],"new":[67],"mixture-of-experts":[68],"framework":[69],"multi-modal":[71,186],"that":[74,162],"dynamically":[75],"accommodates":[76],"heterogeneous":[77],"data":[78,187],"varying":[81],"complexity":[82],"levels.":[83],"First,":[84],"Batch-Adaptive":[86],"Experts":[87],"(BAE)":[88],"module":[89],"introduces":[90],"batch-specific":[91],"parameters":[92],"with":[93],"residual":[95],"gating":[96],"mechanism,":[97],"ensuring":[98],"stable":[99],"modeling":[100],"under":[101],"non-stationary":[102],"distributions.":[103],"Second,":[104],"Entropy-Aware":[106],"Multi-Expert":[107],"Selection":[108],"(MES)":[109],"strategy":[110],"adaptively":[111],"allocates":[112],"number":[114],"experts":[116],"according":[117],"data's":[120],"estimated":[121],"difficulty":[123],"(entropy),":[124],"thereby":[125],"improving":[126],"resource":[127],"utilization":[128],"efficiency.":[131],"Finally,":[132],"Precision-Aware":[134],"Expert":[135],"Routing":[136],"(PER)":[137],"component":[138],"applies":[139],"high-precision":[140],"computation":[141],"solely":[142],"most":[145],"critical":[146],"experts,":[147],"significantly":[148],"reducing":[149],"overhead":[150],"without":[151],"sacrificing":[152],"accuracy.":[154],"Experimental":[155],"results":[156],"multiple":[158],"real-world":[159],"datasets":[160],"demonstrate":[161],"MoE-LC":[163],"achieves":[164],"5.33%--70.89%":[165],"improvements":[166],"ratio":[169],"37.25%--1532.41%":[171],"gains":[172],"throughput":[174],"compared":[175],"advanced":[177],"baselines,":[178],"offering":[179],"scalable":[181],"solution":[182],"real-time,":[184],"large-scale":[185],"compression.":[188],"Our":[189],"code":[190],"is":[191],"available":[192],"at":[193],"https://github.com/Magie0/MoE_LC.":[194]},"counts_by_year":[],"updated_date":"2026-04-28T06:12:00.211691","created_date":"2026-04-28T00:00:00"}
