{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,20]],"date-time":"2025-05-20T15:15:18Z","timestamp":1747754118832,"version":"3.37.3"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,15]],"date-time":"2022-12-15T00:00:00Z","timestamp":1671062400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,15]],"date-time":"2022-12-15T00:00:00Z","timestamp":1671062400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51775385"],"award-info":[{"award-number":["51775385"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,15]]},"DOI":"10.1109\/icnsc55942.2022.10004185","type":"proceedings-article","created":{"date-parts":[[2023,1,12]],"date-time":"2023-01-12T21:35:28Z","timestamp":1673559328000},"page":"1-6","source":"Crossref","is-referenced-by-count":1,"title":["Rapid Knowledge Transfer Based on Gradient Response and Cross-Domain Consistency"],"prefix":"10.1109","author":[{"given":"Jinshu","family":"Chen","sequence":"first","affiliation":[{"name":"Tongji University,Department of Control Science and Engineering,Shanghai,China,201804"}]},{"given":"Qihui","family":"Xu","sequence":"additional","affiliation":[{"name":"Tongji University,Department of Control Science and Engineering,Shanghai,China,201804"}]},{"given":"Yanhui","family":"Jiang","sequence":"additional","affiliation":[{"name":"Tongji University,Department of Control Science and Engineering,Shanghai,China,201804"}]},{"given":"Qi","family":"Kang","sequence":"additional","affiliation":[{"name":"Tongji University,Department of Control Science and Engineering,Shanghai,China,201804"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2685521"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2903736"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2018.2875452"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-022-10230-4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/tsmc.2022.3195239"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.109611"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2606104"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"volume-title":"Improved Techniques for Training GANs","year":"2016","author":"Salimans","key":"ref9"},{"key":"ref10","article-title":"MOGAN: Morphologic-structure-aware Generative Learning from a Single Image","author":"Chen","year":"2021","journal-title":"arXiv"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3065377"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2989213"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/3DV53792.2021.00036"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01429"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58558-7_42"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01449"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00578"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11015-4_8"},{"volume-title":"Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks","year":"2016","author":"Radford","key":"ref19"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00813"},{"volume-title":"Large scale GAN training for high fidelity natural image synthesis","year":"2019","author":"Brock","key":"ref22"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2019.00459"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1411.1784"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00467"},{"volume-title":"Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding","year":"2015","author":"Han","key":"ref26"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.4140\/TCP.n.2015.249"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"}],"event":{"name":"2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)","start":{"date-parts":[[2022,12,15]]},"location":"Shanghai, China","end":{"date-parts":[[2022,12,18]]}},"container-title":["2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10004025\/10004026\/10004185.pdf?arnumber=10004185","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,9]],"date-time":"2024-02-09T09:02:14Z","timestamp":1707469334000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10004185\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,15]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/icnsc55942.2022.10004185","relation":{},"subject":[],"published":{"date-parts":[[2022,12,15]]}}}