{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T01:26:44Z","timestamp":1768526804289,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T00:00:00Z","timestamp":1603065600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Ministry of Science and Technology, Taiwan","award":["projects No. 109-2218-E-009 -016, 107-2221-E-005 -064 -MY2, and 109-2221-E-009 -097"],"award-info":[{"award-number":["projects No. 109-2218-E-009 -016, 107-2221-E-005 -064 -MY2, and 109-2221-E-009 -097"]}]},{"name":"the Higher Education Sprout Project of the National Chiao Tung University and Ministry of Education (MOE), Taiwan"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,19]]},"DOI":"10.1145\/3340531.3412007","type":"proceedings-article","created":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T07:01:44Z","timestamp":1603090904000},"page":"195-204","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Product Quality Prediction with Convolutional Encoder-Decoder Architecture and Transfer Learning"],"prefix":"10.1145","author":[{"given":"Hao-Yi","family":"Chih","sequence":"first","affiliation":[{"name":"National Chiao Tung University, HsinChu, Taiwan Roc"}]},{"given":"Yao-Chung","family":"Fan","sequence":"additional","affiliation":[{"name":"National Chung Hsing University, Taichung City, Taiwan Roc"}]},{"given":"Wen-Chih","family":"Peng","sequence":"additional","affiliation":[{"name":"National Chiao Tung University, HsinChu, Taiwan Roc"}]},{"given":"Hai-Yuan","family":"Kuo","sequence":"additional","affiliation":[{"name":"Epistar Corporation, HsinChu, Taiwan Roc"}]}],"member":"320","published-online":{"date-parts":[[2020,10,19]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390177"},{"key":"e_1_3_2_2_2_1","volume-title":"Kaiming He, and Xiaoou Tang.","author":"Dong Chao","year":"2016","unstructured":"Chao Dong , Chen Change Loy , Kaiming He, and Xiaoou Tang. 2016 . Image super-resolution using deep convolutional networks. IEEE transactions on pattern analysis and machine intelligence 38, 2 (2016), 295--307. Chao Dong, Chen Change Loy, Kaiming He, and Xiaoou Tang. 2016. Image super-resolution using deep convolutional networks. IEEE transactions on pattern analysis and machine intelligence 38, 2 (2016), 295--307."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"e_1_3_2_2_4_1","volume-title":"Proceedings of the thirteenth international conference on artificial intelligence and statistics. 249--256","author":"Glorot Xavier","year":"2010","unstructured":"Xavier Glorot and Yoshua Bengio . 2010 . Understanding the difficulty of training deep feedforward neural networks . In Proceedings of the thirteenth international conference on artificial intelligence and statistics. 249--256 . Xavier Glorot and Yoshua Bengio. 2010. Understanding the difficulty of training deep feedforward neural networks. In Proceedings of the thirteenth international conference on artificial intelligence and statistics. 249--256."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2012.63"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_2_7_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.222"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273592"},{"key":"e_1_3_2_2_11_1","volume-title":"An overview of multi-task learning in deep neural networks. arXiv preprint arXiv:1706.05098","author":"Ruder Sebastian","year":"2017","unstructured":"Sebastian Ruder . 2017. An overview of multi-task learning in deep neural networks. arXiv preprint arXiv:1706.05098 ( 2017 ). Sebastian Ruder. 2017. An overview of multi-task learning in deep neural networks. arXiv preprint arXiv:1706.05098 (2017)."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/3298483.3298614"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500504"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-014-0911-x"},{"key":"e_1_3_2_2_15_1","volume-title":"Interpretable Multitask Learning for Product Quality Prediction with Attention Mechanism. In 2019 IEEE 35th International Conference on Data Engineering (ICDE). IEEE.","author":"Yeh Cheng-Han","year":"2019","unstructured":"Cheng-Han Yeh , Yao-Chung Fan , and Wen-Chih Peng . 2019 . Interpretable Multitask Learning for Product Quality Prediction with Attention Mechanism. In 2019 IEEE 35th International Conference on Data Engineering (ICDE). IEEE. Cheng-Han Yeh, Yao-Chung Fan, and Wen-Chih Peng. 2019. Interpretable Multitask Learning for Product Quality Prediction with Attention Mechanism. In 2019 IEEE 35th International Conference on Data Engineering (ICDE). IEEE."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.76"}],"event":{"name":"CIKM '20: The 29th ACM International Conference on Information and Knowledge Management","location":"Virtual Event Ireland","acronym":"CIKM '20","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 29th ACM International Conference on Information &amp; Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3412007","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3340531.3412007","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:02:28Z","timestamp":1750197748000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3412007"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,19]]},"references-count":16,"alternative-id":["10.1145\/3340531.3412007","10.1145\/3340531"],"URL":"https:\/\/doi.org\/10.1145\/3340531.3412007","relation":{},"subject":[],"published":{"date-parts":[[2020,10,19]]},"assertion":[{"value":"2020-10-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}