{"id":"https://openalex.org/W4293023648","doi":"https://doi.org/10.1145/3489517.3530678","title":"HERO","display_name":"HERO","publication_year":2022,"publication_date":"2022-07-10","ids":{"openalex":"https://openalex.org/W4293023648","doi":"https://doi.org/10.1145/3489517.3530678"},"language":"en","primary_location":{"id":"doi:10.1145/3489517.3530678","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3489517.3530678","pdf_url":null,"source":{"id":"https://openalex.org/S4363608816","display_name":"Proceedings of the 59th ACM/IEEE Design Automation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 59th ACM/IEEE Design Automation Conference","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/A5076154259","display_name":"Huanrui Yang","orcid":"https://orcid.org/0000-0002-3384-4512"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Huanrui Yang","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080236384","display_name":"Xiaoxuan Yang","orcid":"https://orcid.org/0000-0002-2553-2631"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoxuan Yang","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009102659","display_name":"Neil Zhenqiang Gong","orcid":"https://orcid.org/0000-0002-9900-9309"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neil Zhenqiang Gong","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058073627","display_name":"Yiran Chen","orcid":"https://orcid.org/0000-0002-1486-8412"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiran Chen","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076154259"],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":2.2542,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.88996605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10036","display_name":"Advanced Neural Network Applications","score":0.9987000226974487,"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/T12676","display_name":"Machine Learning and ELM","score":0.9879999756813049,"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/hessian-matrix","display_name":"Hessian matrix","score":0.7318788766860962},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6523357033729553},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.566281795501709},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5652368664741516},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5452719926834106},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.5390732884407043},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.4457969665527344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4450756013393402},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41163623332977295},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4072307348251343},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.395038902759552},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2846144735813141},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.24214401841163635}],"concepts":[{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.7318788766860962},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6523357033729553},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.566281795501709},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5652368664741516},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5452719926834106},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.5390732884407043},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.4457969665527344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4450756013393402},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41163623332977295},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4072307348251343},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.395038902759552},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2846144735813141},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.24214401841163635},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3489517.3530678","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3489517.3530678","pdf_url":null,"source":{"id":"https://openalex.org/S4363608816","display_name":"Proceedings of the 59th ACM/IEEE Design Automation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 59th ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6117838619","display_name":null,"funder_award_id":"1937786","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1999085092","https://openalex.org/W2331143823","https://openalex.org/W2794002979","https://openalex.org/W2949736877","https://openalex.org/W2963026800","https://openalex.org/W2963163009","https://openalex.org/W4239072543"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W2922073769","https://openalex.org/W2008630378","https://openalex.org/W4378510483","https://openalex.org/W2490526372","https://openalex.org/W4220972140","https://openalex.org/W3161120485"],"abstract_inverted_index":{"With":[0],"the":[1,19,30,40,48,58,72,76,85,88,107,117,143],"recent":[2],"demand":[3],"of":[4,60,74,87,152],"deploying":[5],"neural":[6],"network":[7],"models":[8,162],"on":[9,22,47,129,167],"mobile":[10],"and":[11,50,63,83,119,142],"edge":[12],"devices,":[13],"it":[14],"is":[15],"desired":[16],"to":[17,93,105,125,133],"improve":[18],"model's":[20,31,77],"generalizability":[21],"unseen":[23],"testing":[24],"data,":[25],"as":[26,28],"well":[27],"enhance":[29],"robustness":[32,78],"under":[33,71,137],"fixed-point":[34],"quantization":[35,51,64,120,146],"for":[36,163],"efficient":[37],"deployment.":[38],"Minimizing":[39],"training":[41,113,139],"loss,":[42],"however,":[43],"provides":[44],"few":[45],"guarantees":[46],"generalization":[49,62,118],"performance.":[52,121],"In":[53],"this":[54],"work,":[55],"we":[56],"fulfill":[57],"need":[59],"improving":[61,75,116],"performance":[65],"simultaneously":[66,115],"by":[67],"theoretically":[68],"unifying":[69],"them":[70],"framework":[73],"against":[79],"bounded":[80],"weight":[81],"perturbation":[82],"minimizing":[84],"eigenvalues":[86,109],"Hessian":[89,108],"matrix":[90],"with":[91],"respect":[92],"model":[94,165],"weights.":[95],"We":[96],"therefore":[97],"propose":[98],"HERO,":[99],"a":[100,111,126,149,155],"Hessian-enhanced":[101],"robust":[102],"optimization":[103],"method,":[104],"minimize":[106],"through":[110],"gradient-based":[112],"process,":[114],"HERO":[122],"enables":[123],"up":[124,132],"3.8%":[127],"gain":[128],"test":[130],"accuracy,":[131],"30%":[134],"higher":[135],"accuracy":[136,147,158],"80%":[138],"label":[140],"perturbation,":[141],"best":[144],"post-training":[145],"across":[148],"wide":[150],"range":[151],"precision,":[153],"including":[154],">":[156],"10%":[157],"improvement":[159],"over":[160],"SGD-trained":[161],"common":[164],"architectures":[166],"various":[168],"datasets.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2022-08-25T00:00:00"}
