{"id":"https://openalex.org/W7163540975","doi":"https://doi.org/10.23919/date69613.2026.11539065","title":"Compression Space Search: RL-Based Combinational Compression for Neural Networks","display_name":"Compression Space Search: RL-Based Combinational Compression for Neural Networks","publication_year":2026,"publication_date":"2026-04-20","ids":{"openalex":"https://openalex.org/W7163540975","doi":"https://doi.org/10.23919/date69613.2026.11539065"},"language":null,"primary_location":{"id":"doi:10.23919/date69613.2026.11539065","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date69613.2026.11539065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 Design, Automation &amp;amp; Test in Europe Conference (DATE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5079024501","display_name":"Yingtao Shen","orcid":"https://orcid.org/0009-0001-7868-5340"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingtao Shen","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110125772","display_name":"Yinchen Ni","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinchen Ni","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107958486","display_name":"Jiace Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiace Zhu","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101758228","display_name":"Jie Zhao","orcid":"https://orcid.org/0000-0002-5191-9637"},"institutions":[{"id":"https://openalex.org/I4210105678","display_name":"Microsoft (Finland)","ror":"https://ror.org/01nehjf29","country_code":"FI","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210105678"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jie Zhao","raw_affiliation_strings":["Microsoft Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation","institution_ids":["https://openalex.org/I4210105678"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121563724","display_name":"An Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"An Zou","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]}],"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":0.62724758,"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":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.227400004863739,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.227400004863739,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.2231999933719635,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.08399999886751175,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/compression","display_name":"Compression (physics)","score":0.6299999952316284},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5527999997138977},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5210000276565552},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.3675999939441681},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2962999939918518}],"concepts":[{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.6299999952316284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5935999751091003},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5527999997138977},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5210000276565552},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5005000233650208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4291999936103821},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.3675999939441681},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28049999475479126},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2732999920845032},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2696000039577484}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date69613.2026.11539065","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date69613.2026.11539065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 Design, Automation &amp;amp; Test in Europe Conference (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2883928845","https://openalex.org/W2962677625","https://openalex.org/W2963163009","https://openalex.org/W2991849637","https://openalex.org/W3035332806","https://openalex.org/W3037164854","https://openalex.org/W3120868136","https://openalex.org/W3175730059","https://openalex.org/W3199180199","https://openalex.org/W3204647170","https://openalex.org/W4293081735","https://openalex.org/W4312769570","https://openalex.org/W4312900176","https://openalex.org/W4382467688","https://openalex.org/W4385812098","https://openalex.org/W4386206705","https://openalex.org/W4387450399","https://openalex.org/W4393149346","https://openalex.org/W4394625578","https://openalex.org/W4402137675","https://openalex.org/W4402992174","https://openalex.org/W7133229067"],"related_works":[],"abstract_inverted_index":{"The":[0],"rising":[1],"demand":[2],"for":[3,49,62,124],"lightweight,":[4],"high-performance":[5],"models":[6,139],"on":[7,45],"mobile":[8],"and":[9,31,77,97,126,135],"embedded":[10],"platforms":[11],"has":[12],"accelerated":[13],"the":[14,60,69,74,88,142],"development":[15],"of":[16,67,79,90,160],"model":[17,52],"compression":[18,23,81,92,98,109,130],"techniques.":[19],"Among":[20],"these,":[21],"combinational":[22],"methods\u2014which":[24],"integrate":[25],"multiple":[26],"techniques":[27],"such":[28],"as":[29],"pruning":[30],"quantization\u2014offer":[32],"complementary":[33],"advantages":[34],"over":[35],"using":[36],"individual":[37],"methods":[38],"alone.":[39],"However,":[40],"existing":[41],"research":[42],"typically":[43],"focuses":[44],"specific":[46],"combinations":[47],"designed":[48],"a":[50,63,100,107,120,146],"particular":[51],"architecture":[53],"or":[54],"task.":[55],"These":[56],"approaches":[57],"often":[58],"overlook":[59],"need":[61],"general":[64],"approach":[65],"capable":[66],"identifying":[68],"optimal":[70,129],"combination":[71],"strategy,":[72],"including":[73],"selection,":[75,95],"sequence,":[76],"degree":[78],"applying":[80],"methods.":[82],"In":[83],"this":[84],"paper,":[85],"we":[86,114],"formalize":[87],"challenge":[89],"combining":[91],"methods\u2014specifically":[93],"their":[94],"ordering,":[96],"degree\u2014as":[99],"customized":[101],"Markov":[102],"Decision":[103],"Process":[104],"defined":[105],"in":[106,152],"configurable":[108],"space.":[110],"To":[111],"solve":[112],"this,":[113],"introduce":[115],"Compression":[116],"Space":[117],"Search":[118],"(CSS),":[119],"practical":[121],"RL-based":[122],"framework":[123],"automatically":[125],"efficiently":[127],"discovering":[128],"strategies.":[131],"Experiments":[132],"across":[133],"CNN":[134],"transformer":[136],"based":[137],"vision":[138],"demonstrate":[140],"that":[141],"proposed":[143],"CSS":[144],"achieves":[145],"30":[147],"to":[148],"101":[149],"times":[150],"reduction":[151],"bit":[153],"operations":[154],"while":[155],"maintaining":[156],"an":[157],"accuracy":[158],"drop":[159],"no":[161],"more":[162],"than":[163],"2%.":[164]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-06-05T00:00:00"}
