{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T05:13:00Z","timestamp":1755839580280,"version":"3.37.3"},"reference-count":39,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"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":["62006053,61876207,62276103"],"award-info":[{"award-number":["62006053,61876207,62276103"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2214050004299,2020A1515010696,2022A1515010443"],"award-info":[{"award-number":["2214050004299,2020A1515010696,2022A1515010443"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2020ZYGXZR014"],"award-info":[{"award-number":["2020ZYGXZR014"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,18]]},"DOI":"10.1109\/ijcnn54540.2023.10191902","type":"proceedings-article","created":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T17:30:03Z","timestamp":1690997403000},"page":"1-8","source":"Crossref","is-referenced-by-count":4,"title":["Neural Architecture Search with Heterogeneous Representation Learning for Zero-Shot Multi-Label Text Classification"],"prefix":"10.1109","author":[{"given":"Liang","family":"Chen","sequence":"first","affiliation":[{"name":"School of Software Engineering, South China University of Technology,Guangzhou,China,510006"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xueming","family":"Yan","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Guangdong University of Foreign Studies,Guangzhou,China,510000"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zilong","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Software Engineering, South China University of Technology,Guangzhou,China,510006"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Han","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Software Engineering, South China University of Technology,Guangzhou,China,510006"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6462"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1174"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.12.014"},{"key":"ref34","article-title":"Show, attend and tell: Neural image caption generation with visual attention","author":"xu","year":"2015","journal-title":"ArXiv e-prints"},{"key":"ref15","article-title":"GraphNAS: graph neural architecture search with reinforcement learning","author":"gao","year":"2019","journal-title":"ArXiv e-prints"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.106.682658"},{"key":"ref14","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","author":"defferrard","year":"2016","journal-title":"ArXiv e-prints"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1100"},{"key":"ref31","article-title":"PyTorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"ArXiv e-prints"},{"key":"ref30","first-page":"1","article-title":"Graph neural networks in node classification: Survey and evaluation","volume":"33","author":"xiao","year":"2021","journal-title":"Machine Vision and Applications"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.235"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN55064.2022.9892387"},{"key":"ref32","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"ArXiv e-prints"},{"key":"ref2","article-title":"LSHTC: A benchmark for large-scale text classification","author":"partalas","year":"2015","journal-title":"ArXiv e-prints"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1636"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.83"},{"key":"ref39","article-title":"ERNIE-Layout: Layout knowledge enhanced pre-training for visually-rich document understanding","author":"peng","year":"2022","journal-title":"ArXiv e-prints"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6462"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/11903697_65"},{"key":"ref19","first-page":"3864","article-title":"Autoattend: Automated attention representation search","volume":"139","author":"guan","year":"2021","journal-title":"Proceedings of the 38th International Conference on Machine Learning"},{"key":"ref18","article-title":"AtomNAS: Fine-grained end-to-end neural architecture search","author":"mei","year":"2019","journal-title":"ArXiv e-prints"},{"key":"ref24","article-title":"Efficient neural architecture search via parameter sharing","author":"pham","year":"2018","journal-title":"ArXiv e-prints"},{"key":"ref23","article-title":"DARTS: Differentiable architecture search","author":"liu","year":"2018","journal-title":"ArXiv e-prints"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9533811"},{"key":"ref25","article-title":"GraphNAS: Graph neural architecture search with reinforcement learning","author":"gao","year":"2019","journal-title":"ArXiv e-prints"},{"key":"ref20","article-title":"Neural architecture search on efficient transformers and beyond","author":"liu","year":"2022","journal-title":"ArXiv e-prints"},{"key":"ref22","first-page":"1","article-title":"Understanding and simplifying one-shot architecture search","author":"bender","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN55064.2022.9892900"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3099448"},{"key":"ref27","article-title":"DARTS: Differentiable architecture search","author":"liu","year":"2018","journal-title":"ArXiv e-prints"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1561\/116.00000123"},{"key":"ref8","article-title":"AttentionXML: Label tree-based attention-aware deep model for high-performance extreme multi-label text classification","author":"you","year":"2018","journal-title":"ArXiv e-prints"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357885"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1352"},{"key":"ref4","article-title":"Train once, test any-where: Zero-shot learning for text classification","author":"pushp","year":"2017","journal-title":"ArXiv eprint"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocz085"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3185998"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.272"}],"event":{"name":"2023 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2023,6,18]]},"location":"Gold Coast, Australia","end":{"date-parts":[[2023,6,23]]}},"container-title":["2023 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10190990\/10190992\/10191902.pdf?arnumber=10191902","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T17:41:46Z","timestamp":1692639706000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10191902\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,18]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/ijcnn54540.2023.10191902","relation":{},"subject":[],"published":{"date-parts":[[2023,6,18]]}}}