{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:24:40Z","timestamp":1750220680392,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":46,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,3,7]],"date-time":"2021-03-07T00:00:00Z","timestamp":1615075200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Natural Science Foundation of China","award":["U20B2063"],"award-info":[{"award-number":["U20B2063"]}]},{"name":"Dongguan Songshan Lake Introduction Program of Leading Innovative and Entrepreneurial Talents"},{"name":"Fundamental Research Funds for the Central Universities","award":["ZYGX2019Z015"],"award-info":[{"award-number":["ZYGX2019Z015"]}]},{"name":"Sichuan Science and Technology Program, China","award":["2020YFS0057, 2019ZDZX0008"],"award-info":[{"award-number":["2020YFS0057, 2019ZDZX0008"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,3,7]]},"DOI":"10.1145\/3444685.3446283","type":"proceedings-article","created":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T04:48:41Z","timestamp":1620103721000},"page":"1-7","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Graph-based variational auto-encoder for generalized zero-shot learning"],"prefix":"10.1145","author":[{"given":"Jiwei","family":"Wei","sequence":"first","affiliation":[{"name":"University of Electronic Science and Technology of China, China"}]},{"given":"Yang","family":"Yang","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, China"}]},{"given":"Xing","family":"Xu","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, China"}]},{"given":"Yanli","family":"Ji","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, China"}]},{"given":"Xiaofeng","family":"Zhu","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, China"}]},{"given":"Heng Tao","family":"Shen","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, China"}]}],"member":"320","published-online":{"date-parts":[[2021,5,3]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 7603--7612","author":"Annadani Yashas","year":"2018","unstructured":"Yashas Annadani and Soma Biswas . 2018 . Preserving semantic relations for zero-shot learning . In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 7603--7612 . Yashas Annadani and Soma Biswas. 2018. Preserving semantic relations for zero-shot learning. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 7603--7612."},{"key":"e_1_3_2_1_2_1","volume-title":"Empirical Evaluation of Rectified Activations in Convolutional Network. Computer Science","author":"Bing Xu","year":"2015","unstructured":"Xu Bing , Naiyan Wang , Tianqi Chen , and Li Mu. 2015. Empirical Evaluation of Rectified Activations in Convolutional Network. Computer Science ( 2015 ). Xu Bing, Naiyan Wang, Tianqi Chen, and Li Mu. 2015. Empirical Evaluation of Rectified Activations in Convolutional Network. Computer Science (2015)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01043"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.575"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.376"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01231-1_2"},{"key":"e_1_3_2_1_7_1","volume-title":"Devise: A deep visual-semantic embedding model. In Advances in neural information processing systems. 2121--2129.","author":"Frome Andrea","year":"2013","unstructured":"Andrea Frome , Greg S Corrado , Jon Shlens , Samy Bengio , Jeff Dean , Marc'Aurelio Ranzato , and Tomas Mikolov . 2013 . Devise: A deep visual-semantic embedding model. In Advances in neural information processing systems. 2121--2129. Andrea Frome, Greg S Corrado, Jon Shlens, Samy Bengio, Jeff Dean, Marc'Aurelio Ranzato, and Tomas Mikolov. 2013. Devise: A deep visual-semantic embedding model. In Advances in neural information processing systems. 2121--2129."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018303"},{"key":"e_1_3_2_1_9_1","first-page":"1112","article-title":"Hierarchical LSTMs with Adaptive Attention for Visual Captioning","volume":"42","author":"Gao Lianli","year":"2020","unstructured":"Lianli Gao , Xiangpeng Li , Jingkuan Song , and Heng Tao Shen . 2020 . Hierarchical LSTMs with Adaptive Attention for Visual Captioning . IEEE Transactions on Pattern Analysis and Machine Intelligence 42 , 5 (2020), 1112 -- 1131 . Lianli Gao, Xiangpeng Li, Jingkuan Song, and Heng Tao Shen. 2020. Hierarchical LSTMs with Adaptive Attention for Visual Captioning. IEEE Transactions on Pattern Analysis and Machine Intelligence 42, 5 (2020), 1112--1131.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"e_1_3_2_1_10_1","unstructured":"Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672--2680.  Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672--2680."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2010.04.005"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00978"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2890144"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240675"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350959"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2952088"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2952088"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01175"},{"key":"e_1_3_2_1_20_1","volume-title":"Adam: A Method for Stochastic Optimization. In European Conference on Computer Vision.","author":"Kingma Diederik","year":"2014","unstructured":"Diederik Kingma and Jimmy Ba . 2014 . Adam: A Method for Stochastic Optimization. In European Conference on Computer Vision. Diederik Kingma and Jimmy Ba. 2014. Adam: A Method for Stochastic Optimization. In European Conference on Computer Vision."},{"key":"e_1_3_2_1_21_1","volume-title":"Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114","author":"Kingma Diederik P","year":"2013","unstructured":"Diederik P Kingma and Max Welling . 2013. Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114 ( 2013 ). Diederik P Kingma and Max Welling. 2013. Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114 (2013)."},{"key":"e_1_3_2_1_22_1","volume-title":"International Conference for Learning Representation.","author":"Kipf Thomas N","year":"2017","unstructured":"Thomas N Kipf and Max Welling . 2017 . Semi-supervised classification with graph convolutional networks . In International Conference for Learning Representation. Thomas N Kipf and Max Welling. 2017. Semi-supervised classification with graph convolutional networks. In International Conference for Learning Representation."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00450"},{"key":"e_1_3_2_1_24_1","first-page":"2579","article-title":"Visualizing data using t-SNE","author":"van der Maaten Laurens","year":"2008","unstructured":"Laurens van der Maaten and Geoffrey Hinton . 2008 . Visualizing data using t-SNE . Journal of machine learning research 9 , Nov (2008), 2579 -- 2605 . Laurens van der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE. Journal of machine learning research 9, Nov (2008), 2579--2605.","journal-title":"Journal of machine learning research 9"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/219717.219748"},{"key":"e_1_3_2_1_26_1","volume-title":"Conference on Neural Information Processing Systems Workshop.","author":"Paszke Adam","year":"2017","unstructured":"Adam Paszke , Sam Gross , Soumith Chintala , Gregory Chanan , Edward Yang , Zachary DeVito , Zeming Lin , Alban Desmaison , Luca Antiga , and Adam Lerer . 2017 . Automatic differentiation in pytorch . In Conference on Neural Information Processing Systems Workshop. Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer. 2017. Automatic differentiation in pytorch. In Conference on Neural Information Processing Systems Workshop."},{"key":"e_1_3_2_1_27_1","volume-title":"MRA-Net: Improving VQA via Multi-modal Relation Attention Network","author":"Peng Liang","year":"2020","unstructured":"Liang Peng , Yang Yang , Zheng Wang , Zi Huang , and Heng Tao Shen . 2020. MRA-Net: Improving VQA via Multi-modal Relation Attention Network . IEEE Transactions on Pattern Analysis and Machine Intelligence ( 2020 ). Liang Peng, Yang Yang, Zheng Wang, Zi Huang, and Heng Tao Shen. 2020. MRA-Net: Improving VQA via Multi-modal Relation Attention Network. IEEE Transactions on Pattern Analysis and Machine Intelligence (2020)."},{"key":"e_1_3_2_1_28_1","volume-title":"Answer Again: Improving VQA with Cascaded-Answering Model","author":"Peng Liang","year":"2020","unstructured":"Liang Peng , Yang Yang , Xiaopeng Zhang , Yanli Ji , Huimin Lu , and Heng Tao Shen . 2020 . Answer Again: Improving VQA with Cascaded-Answering Model . IEEE Transactions on Knowledge and Data Engineering ( 2020). Liang Peng, Yang Yang, Xiaopeng Zhang, Yanli Ji, Huimin Lu, and Heng Tao Shen. 2020. Answer Again: Improving VQA with Cascaded-Answering Model. IEEE Transactions on Knowledge and Data Engineering (2020)."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00844"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2970050"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.297005"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350875"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00717"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2019.102130"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01302"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3338533.3366552"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00581"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"e_1_3_2_1_40_1","volume-title":"Heng Tao Shen, and Xuelong Li","author":"Xu Xing","year":"2019","unstructured":"Xing Xu , Huimin Lu , Jingkuan Song , Yang Yang , Heng Tao Shen, and Xuelong Li . 2019 . Ternary adversarial networks with self-supervision for zero-shot cross-modal retrieval. IEEE transactions on cybernetics (2019). Xing Xu, Huimin Lu, Jingkuan Song, Yang Yang, Heng Tao Shen, and Xuelong Li. 2019. Ternary adversarial networks with self-supervision for zero-shot cross-modal retrieval. IEEE transactions on cybernetics (2019)."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2928180"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2967597"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2967597"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351000"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00111"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00994"}],"event":{"name":"MMAsia '20: ACM Multimedia Asia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Virtual Event Singapore","acronym":"MMAsia '20"},"container-title":["Proceedings of the 2nd ACM International Conference on Multimedia in Asia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3444685.3446283","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3444685.3446283","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:03:19Z","timestamp":1750197799000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3444685.3446283"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,7]]},"references-count":46,"alternative-id":["10.1145\/3444685.3446283","10.1145\/3444685"],"URL":"https:\/\/doi.org\/10.1145\/3444685.3446283","relation":{},"subject":[],"published":{"date-parts":[[2021,3,7]]},"assertion":[{"value":"2021-05-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}