{"id":"https://openalex.org/W2741094041","doi":"https://doi.org/10.24963/ijcai.2017/2","title":"Deep Learning at Alibaba","display_name":"Deep Learning at Alibaba","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2741094041","doi":"https://doi.org/10.24963/ijcai.2017/2","mag":"2741094041"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/2","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/2","pdf_url":"https://www.ijcai.org/proceedings/2017/0002.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2017/0002.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069394608","display_name":"Rong Jin","orcid":"https://orcid.org/0000-0002-8797-4646"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rong Jin","raw_affiliation_strings":["Alibaba","Alibaba Group, Hang Zhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba","institution_ids":[]},{"raw_affiliation_string":"Alibaba Group, Hang Zhou, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5069394608"],"corresponding_institution_ids":["https://openalex.org/I45928872"],"apc_list":null,"apc_paid":null,"fwci":2.1522,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.88881119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"11","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12176","display_name":"Optimization and Packing Problems","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12176","display_name":"Optimization and Packing Problems","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9980999827384949,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.8472676277160645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.736824631690979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6431169509887695},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5858510732650757},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.580676257610321},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.43930545449256897},{"id":"https://openalex.org/keywords/development","display_name":"Development (topology)","score":0.4358431398868561},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43037155270576477},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35486897826194763},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0777231752872467}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.8472676277160645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.736824631690979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6431169509887695},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5858510732650757},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.580676257610321},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43930545449256897},{"id":"https://openalex.org/C2776542497","wikidata":"https://www.wikidata.org/wiki/Q5266672","display_name":"Development (topology)","level":2,"score":0.4358431398868561},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43037155270576477},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35486897826194763},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0777231752872467},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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:10.24963/ijcai.2017/2","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/2","pdf_url":"https://www.ijcai.org/proceedings/2017/0002.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/2","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/2","pdf_url":"https://www.ijcai.org/proceedings/2017/0002.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2741094041.pdf","grobid_xml":"https://content.openalex.org/works/W2741094041.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1511694993","https://openalex.org/W1836465849","https://openalex.org/W1991903096","https://openalex.org/W1997959089","https://openalex.org/W1999835659","https://openalex.org/W2072441740","https://openalex.org/W2130942839","https://openalex.org/W2158581396","https://openalex.org/W2161926431","https://openalex.org/W2164278908","https://openalex.org/W2194775991","https://openalex.org/W2300242332","https://openalex.org/W2475334473","https://openalex.org/W2748734647","https://openalex.org/W2949117887","https://openalex.org/W2952332632","https://openalex.org/W3099206234","https://openalex.org/W3106250896","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W3192840557","https://openalex.org/W2951211570","https://openalex.org/W4375928479","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W3131673289","https://openalex.org/W4393011546","https://openalex.org/W3198847674"],"abstract_inverted_index":{"In":[0],"this":[1],"talk,":[2],"I":[3,21,95],"will":[4,22,96],"focus":[5],"on":[6],"the":[7,10,40,57,76,89],"applications":[8],"and":[9,33,49,67,74,85],"latest":[11],"development":[12,41,58,112],"of":[13,42,59,78,103],"deep":[14,43,79,107],"learning":[15,44,48,80,108],"technologies":[16],"at":[17,113],"Alibaba.":[18,114],"More":[19],"specifically,":[20],"discuss":[23],"(a)":[24],"how":[25],"to":[26,36,52,70,88],"handle":[27],"high":[28],"dimensional":[29],"data":[30,54],"in":[31,92],"DNN":[32,64],"its":[34,50,68,86],"application":[35,51,69,87],"recommender":[37],"system,":[38],"(b)":[39],"models":[45],"for":[46,63,82,106],"transfer":[47],"multimedia":[53],"analysis,":[55],"(c)":[56],"combinatorial":[60,83],"optimization":[61,84],"techniques":[62],"model":[65],"compression":[66],"large-scale":[71],"image":[72],"classification,":[73],"(d)":[75],"exploration":[77],"technique":[81],"packing":[90],"problem":[91],"shipping":[93],"industry.":[94],"conclude":[97],"my":[98],"talk":[99],"with":[100],"a":[101],"discussion":[102],"new":[104],"directions":[105],"that":[109],"are":[110],"under":[111]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
