{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T14:09:12Z","timestamp":1771510152839,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":46,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Jiangsu Shuangchuang (Mass Innovation and Entrepreneurship) Talent Program"},{"name":"Natural Science Foundation of Jiangsu Province of China under Grant","award":["BK20200460, BK20190441"],"award-info":[{"award-number":["BK20200460, BK20190441"]}]},{"name":"Young Elite Scientists Sponsorship Program by CAST"},{"name":"CAAI-Huawei MindSpore Open Fund","award":["CAAIXSJLJJ-2021-014B"],"award-info":[{"award-number":["CAAIXSJLJJ-2021-014B"]}]},{"name":"NSFC","award":["62006118, 61906092, 61836013"],"award-info":[{"award-number":["62006118, 61906092, 61836013"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,10]]},"DOI":"10.1145\/3503161.3548203","type":"proceedings-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T15:42:46Z","timestamp":1665416566000},"page":"1612-1620","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["DOMFN: A Divergence-Orientated Multi-Modal Fusion Network for Resume Assessment"],"prefix":"10.1145","author":[{"given":"Yang","family":"Yang","sequence":"first","affiliation":[{"name":"Nanjing University of Science and Technology &amp; MIIT Key Lab. of Pattern Analysis and Machine Intelligence\/State Key Lab. for Novel Software Technology, Nanjing University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingshuai","family":"Zhang","sequence":"additional","affiliation":[{"name":"Baidu Inc, Bejing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fan","family":"Gao","sequence":"additional","affiliation":[{"name":"Tokyo Institute of Technology, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoru","family":"Gao","sequence":"additional","affiliation":[{"name":"Rutgers University, Newark, NJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hengshu","family":"Zhu","sequence":"additional","affiliation":[{"name":"Baidu Inc, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,10,10]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1080\/13594320902903613"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2798607"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.5555\/1046920.1194899"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"e_1_3_2_2_5_1","volume-title":"Proceedings of the International Conference on Learning Representations. Addis Ababa, Ethiopia.","author":"Clark Kevin","year":"2019","unstructured":"Kevin Clark , Minh-Thang Luong , Quoc V Le , and Christopher D Manning . 2019 . ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators . In Proceedings of the International Conference on Learning Representations. Addis Ababa, Ethiopia. Kevin Clark, Minh-Thang Luong, Quoc V Le, and Christopher D Manning. 2019. ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators. In Proceedings of the International Conference on Learning Representations. Addis Ababa, Ethiopia."},{"key":"e_1_3_2_2_6_1","volume-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2019 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding . In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics . Minneapolis, 4171--4186. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics. Minneapolis, 4171--4186."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1207\/s15516709cog1402_1"},{"key":"e_1_3_2_2_8_1","unstructured":"Ben Greiner. 2004. An online recruitment system for economic experiments. (2004).  Ben Greiner. 2004. An online recruitment system for economic experiments. (2004)."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.723"},{"key":"e_1_3_2_2_10_1","volume-title":"Proceedings of the International Conference on Learning Representations. Virtual Event.","author":"Han Zongbo","year":"2021","unstructured":"Zongbo Han , Changqing Zhang , Huazhu Fu , and Joey Tianyi Zhou . 2021 b. Trusted Multi-View Classification . In Proceedings of the International Conference on Learning Representations. Virtual Event. Zongbo Han, Changqing Zhang, Huazhu Fu, and Joey Tianyi Zhou. 2021b. Trusted Multi-View Classification. In Proceedings of the International Conference on Learning Representations. Virtual Event."},{"key":"e_1_3_2_2_11_1","volume-title":"Proceedings of the International Conference on Learning Representations. Austria.","author":"Han Zongbo","year":"2021","unstructured":"Zongbo Han , Changqing Zhang , Huazhu Fu , and Joey Tianyi Zhou . 2021 c. Trusted Multi-View Classification . In Proceedings of the International Conference on Learning Representations. Austria. Zongbo Han, Changqing Zhang, Huazhu Fu, and Joey Tianyi Zhou. 2021c. Trusted Multi-View Classification. In Proceedings of the International Conference on Learning Representations. Austria."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2017.31"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.62"},{"key":"e_1_3_2_2_15_1","volume-title":"Long short-term memory. Neural computation","author":"Hochreiter Sepp","year":"1997","unstructured":"Sepp Hochreiter and J\u00fcrgen Schmidhuber . 1997. Long short-term memory. Neural computation , Vol. 9 , 8 ( 1997 ), 1735--1780. Sepp Hochreiter and J\u00fcrgen Schmidhuber. 1997. Long short-term memory. Neural computation, Vol. 9, 8 (1997), 1735--1780."},{"key":"e_1_3_2_2_16_1","volume-title":"Bidirectional LSTM-CRF models for sequence tagging. arXiv preprint arXiv:1508.01991","author":"Huang Zhiheng","year":"2015","unstructured":"Zhiheng Huang , Wei Xu , and Kai Yu. 2015. Bidirectional LSTM-CRF models for sequence tagging. arXiv preprint arXiv:1508.01991 ( 2015 ). Zhiheng Huang, Wei Xu, and Kai Yu. 2015. Bidirectional LSTM-CRF models for sequence tagging. arXiv preprint arXiv:1508.01991 (2015)."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01330"},{"key":"e_1_3_2_2_18_1","volume-title":"Multimedia classification and event detection using double fusion. Multimedia tools and applications","author":"Bao Lei","year":"2014","unstructured":"Zhen-zhong Lan, Lei Bao , Shoou- I Yu , Wei Liu , and Alexander G Hauptmann . 2014. Multimedia classification and event detection using double fusion. Multimedia tools and applications , Vol. 71 , 1 ( 2014 ), 333--347. Zhen-zhong Lan, Lei Bao, Shoou-I Yu, Wei Liu, and Alexander G Hauptmann. 2014. Multimedia classification and event detection using double fusion. Multimedia tools and applications, Vol. 71, 1 (2014), 333--347."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10751"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.5555\/930973"},{"key":"e_1_3_2_2_21_1","volume-title":"Representation learning for natural language processing","author":"Liu Zhiyuan","unstructured":"Zhiyuan Liu , Yankai Lin , and Maosong Sun . 2020. Representation learning for natural language processing . Springer Nature . Zhiyuan Liu, Yankai Lin, and Maosong Sun. 2020. Representation learning for natural language processing. Springer Nature."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1209"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00046"},{"key":"e_1_3_2_2_24_1","volume-title":"Distributed representations of words and phrases and their compositionality. Advances in neural information processing systems","author":"Mikolov Tomas","year":"2013","unstructured":"Tomas Mikolov , Ilya Sutskever , Kai Chen , Greg S Corrado , and Jeff Dean . 2013. Distributed representations of words and phrases and their compositionality. Advances in neural information processing systems , Vol. 26 ( 2013 ). Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. Advances in neural information processing systems, Vol. 26 (2013)."},{"key":"e_1_3_2_2_25_1","volume-title":"Advances in Neural Information Processing Systems","volume":"34","author":"Nagrani Arsha","year":"2021","unstructured":"Arsha Nagrani , Shan Yang , Anurag Arnab , Aren Jansen , Cordelia Schmid , and Chen Sun . 2021 . Attention bottlenecks for multimodal fusion . Advances in Neural Information Processing Systems , Vol. 34 (2021). Arsha Nagrani, Shan Yang, Anurag Arnab, Aren Jansen, Cordelia Schmid, and Chen Sun. 2021. Attention bottlenecks for multimodal fusion. Advances in Neural Information Processing Systems, Vol. 34 (2021)."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3376927"},{"key":"e_1_3_2_2_27_1","unstructured":"Alec Radford Karthik Narasimhan Tim Salimans and Ilya Sutskever. 2018. Improving language understanding by generative pre-training. (2018).  Alec Radford Karthik Narasimhan Tim Salimans and Ilya Sutskever. 2018. Improving language understanding by generative pre-training. (2018)."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/492"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1020"},{"key":"e_1_3_2_2_30_1","unstructured":"Karen Simonyan and Andrew Zisserman. 2015. Very deep convolutional networks for large-scale image recognition. 14 pages.  Karen Simonyan and Andrew Zisserman. 2015. Very deep convolutional networks for large-scale image recognition. 14 pages."},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/1871437.1871523"},{"key":"e_1_3_2_2_32_1","volume-title":"Attention is all you need. Advances in neural information processing systems","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N Gomez , \u0141ukasz Kaiser , and Illia Polosukhin . 2017. Attention is all you need. Advances in neural information processing systems , Vol. 30 ( 2017 ), 5998--6008. Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. Advances in neural information processing systems, Vol. 30 (2017), 5998--6008."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i4.16383"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01271"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01620"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301371"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17260"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330963"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/568"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220012"},{"key":"e_1_3_2_2_41_1","volume-title":"Proceedings of The 9th Asian Conference on Machine Learning","author":"Yang Yang","year":"2017","unstructured":"Yang Yang , De-Chuan Zhan , Ying Fan , and Yuan Jiang . 2017 a. Instance Specific Discriminative Modal Pursuit: A Serialized Approach . In Proceedings of The 9th Asian Conference on Machine Learning . Seoul, Korea, 65--80. Yang Yang, De-Chuan Zhan, Ying Fan, and Yuan Jiang. 2017a. Instance Specific Discriminative Modal Pursuit: A Serialized Approach. In Proceedings of The 9th Asian Conference on Machine Learning. Seoul, Korea, 65--80."},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.5555\/3298483.3298646"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2932742"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3230707"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2020.2987728"},{"key":"e_1_3_2_2_46_1","volume-title":"Guoyan Zheng, and Zeng Zeng.","author":"Zhang Le","year":"2019","unstructured":"Le Zhang , Zenglin Shi , Ming-Ming Cheng , Yun Liu , Jia-Wang Bian , Joey Tianyi Zhou , Guoyan Zheng, and Zeng Zeng. 2019 . Nonlinear regression via deep negative correlation learning. IEEE transactions on pattern analysis and machine intelligence, Vol. 43 , 3 (2019), 982--998. Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, and Zeng Zeng. 2019. Nonlinear regression via deep negative correlation learning. IEEE transactions on pattern analysis and machine intelligence, Vol. 43, 3 (2019), 982--998."}],"event":{"name":"MM '22: The 30th ACM International Conference on Multimedia","location":"Lisboa Portugal","acronym":"MM '22","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 30th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3548203","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503161.3548203","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:00:20Z","timestamp":1750186820000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3548203"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,10]]},"references-count":46,"alternative-id":["10.1145\/3503161.3548203","10.1145\/3503161"],"URL":"https:\/\/doi.org\/10.1145\/3503161.3548203","relation":{},"subject":[],"published":{"date-parts":[[2022,10,10]]},"assertion":[{"value":"2022-10-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}