{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T21:38:30Z","timestamp":1781386710553,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":55,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,7,14]]},"DOI":"10.1145\/3712256.3726359","type":"proceedings-article","created":{"date-parts":[[2025,7,8]],"date-time":"2025-07-08T12:26:58Z","timestamp":1751977618000},"page":"1309-1318","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["SiamNAS: Siamese Surrogate Model for Dominance Relation Prediction in Multi-objective Neural Architecture Search"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-6726-0843","authenticated-orcid":false,"given":"Yuyang","family":"Zhou","sequence":"first","affiliation":[{"name":"School of Computer Science, University of Nottingham Ningbo China, Ningbo, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6100-6532","authenticated-orcid":false,"given":"Ferrante","family":"Neri","sequence":"additional","affiliation":[{"name":"University of Surrey, London, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4480-169X","authenticated-orcid":false,"given":"Yew-Soon","family":"Ong","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1722-568X","authenticated-orcid":false,"given":"Ruibin","family":"Bai","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Nottingham Ningbo China, Ningbo, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,7,13]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-024-11659-0"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.imu.2024.101565"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2023.3277769"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.202"},{"key":"e_1_3_2_1_5_1","volume-title":"International Conference on Learning Representations.","author":"Chu Xiangxiang","year":"2021","unstructured":"Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, and Junchi Yan. 2021. DARTS-: Robustly stepping out of performance collapse without indicators. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01202"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3155230"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00378"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00186"},{"key":"e_1_3_2_1_11_1","volume-title":"International Conference on Learning Representations (ICLR). https:\/\/openreview.net\/forum?id=HJxyZkBKDr","author":"Dong Xuanyi","year":"2020","unstructured":"Xuanyi Dong and Yi Yang. 2020. NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search. In International Conference on Learning Representations (ICLR). https:\/\/openreview.net\/forum?id=HJxyZkBKDr"},{"key":"e_1_3_2_1_12_1","volume-title":"Proceedings of the 35th International Conference on Machine Learning","volume":"80","author":"Falkner Stefan","year":"2018","unstructured":"Stefan Falkner, Aaron Klein, and Frank Hutter. 2018. BOHB: Robust and efficient hyperparameter optimization at scale. In Proceedings of the 35th International Conference on Machine Learning, Vol. 80. 1437\u20131446."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40747-022-00929-w"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3512290.3528703"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548149"},{"key":"e_1_3_2_1_16_1","volume-title":"Surrogate-Assisted Evolutionary Neural Architecture Search with Isomorphic Training and Prediction","author":"Jiang Pengcheng","unstructured":"Pengcheng Jiang, Yu Xue, Ferrante Neri, and Mohamed Wahib. 2024. Surrogate-Assisted Evolutionary Neural Architecture Search with Isomorphic Training and Prediction. In Advanced Intelligent Computing Technology and Applications, De-Shuang Huang, Xiankun Zhang, and Yijie Pan (Eds.). Springer Nature Singapore, Singapore, 191\u2013203."},{"key":"e_1_3_2_1_17_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2015","unstructured":"Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In ICLR, Yoshua Bengio and Yann LeCun (Eds.)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3169897"},{"key":"e_1_3_2_1_19_1","unstructured":"Alex Krizhevsky. 2009. Learning Multiple Layers of Features from Tiny Images. https:\/\/api.semanticscholar.org\/CorpusID:18268744"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-05979-8"},{"key":"e_1_3_2_1_21_1","volume-title":"Proceedings of the 35th Uncertainty in Artificial Intelligence Conference. 367\u2013377","author":"Li Liam","year":"2020","unstructured":"Liam Li and Ameet Talwalkar. 2020. Random search and reproducibility for neural architecture search. In Proceedings of the 35th Uncertainty in Artificial Intelligence Conference. 367\u2013377."},{"key":"e_1_3_2_1_22_1","first-page":"20476","article-title":"Generic neural architecture search via regression","volume":"34","author":"Li Yuhong","year":"2021","unstructured":"Yuhong Li, Cong Hao, Pan Li, Jinjun Xiong, and Deming Chen. 2021. Generic neural architecture search via regression. In Advances in Neural Information Processing Systems, Vol. 34. 20476\u201320490.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_23_1","volume-title":"DARTS: Differentiable Architecture Search. International Conference on Learning Representations (ICLR)","author":"Liu Hanxiao","year":"2019","unstructured":"Hanxiao Liu, Karen Simonyan, and Yiming Yang. 2019. DARTS: Differentiable Architecture Search. International Conference on Learning Representations (ICLR) (2019)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CEC60901.2024.10611967"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jai.2022.100002"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2022.3213532"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2022.3233364"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_3"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2023.3319567"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2023.3314766"},{"key":"e_1_3_2_1_31_1","volume-title":"Proceedings of the 38th International Conference on Machine Learning","volume":"139","author":"Mellor Joseph","year":"2021","unstructured":"Joseph Mellor, Jack Turner, Amos Storkey, and Elliot J Crowley. 2021. Neural architecture search without training. In Proceedings of the 38th International Conference on Machine Learning, Vol. 139. 7588\u20137598."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2023.119642"},{"key":"e_1_3_2_1_33_1","volume-title":"Proceedings of the 35th International Conference on Machine Learning","volume":"80","author":"Pham Hieu","year":"2018","unstructured":"Hieu Pham, Melody Guan, Barret Zoph, Quoc Le, and Jeff Dean. 2018. Efficient neural architecture search via parameters sharing. In Proceedings of the 35th International Conference on Machine Learning, Vol. 80. 4095\u20134104."},{"key":"e_1_3_2_1_34_1","volume-title":"Proceedings of the International Conference on Machine Learning (ICML). 2902\u20132911","author":"Real E.","unstructured":"E. Real, A. Aggarwal, Y. Huang, and Q. V. Le. 2017. Large-scale evolution of image classifiers. In Proceedings of the International Conference on Machine Learning (ICML). 2902\u20132911."},{"key":"e_1_3_2_1_35_1","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence. 587","author":"Real E.","unstructured":"E. Real, A. Aggarwal, Y. Huang, and Q. V. Le. 2019. Regularized evolution for image classifier architecture search. In Proceedings of the AAAI Conference on Artificial Intelligence. 587."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"e_1_3_2_1_37_1","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","volume":"33","author":"Real Esteban","year":"2020","unstructured":"Esteban Real, Alok Aggarwal, Yanping Huang, and Quoc V Le. 2020. Regularized Evolution for Image Classifier Architecture Search. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 33. 4780\u20134789."},{"key":"e_1_3_2_1_38_1","unstructured":"Michael Ruchte Arber Zela Julien Siems Josif Grabocka and Frank Hutter. 2020. NASLib: A Modular and Flexible Neural Architecture Search Library. https:\/\/github.com\/automl\/NASLib."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"crossref","unstructured":"Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael Bernstein Alexander C. Berg and Li Fei-Fei. 2015. ImageNet Large Scale Visual Recognition Challenge. arXiv:1409.0575 [cs.CV] https:\/\/arxiv.org\/abs\/1409.0575","DOI":"10.1007\/s11263-015-0816-y"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICAIIC54071.2022.9722706"},{"key":"e_1_3_2_1_41_1","volume-title":"A Survey on Multi-Objective Neural Architecture Search. ArXiv abs\/2307.09099","author":"Shariatzadeh Seyed Mahdi","year":"2023","unstructured":"Seyed Mahdi Shariatzadeh, Mahmood Fathy, Reza Berangi, and Mohammad Shahverdy. 2023. A Survey on Multi-Objective Neural Architecture Search. ArXiv abs\/2307.09099 (2023). https:\/\/api.semanticscholar.org\/CorpusID:259951144"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3055076"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2021.3084415"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58526-6_39"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17233"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2022.3147526"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00439"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00439"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2024.3371432"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2023.3338371"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2022.3179482"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2014.2308305"},{"key":"e_1_3_2_1_53_1","volume-title":"Proceedings of the International Conference on Learning Representations (ICLR).","author":"Zoph Barret","year":"2017","unstructured":"Barret Zoph and Quoc V Le. 2017. Neural Architecture Search with Reinforcement Learning. In Proceedings of the International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_2_1_54_1","volume-title":"International Conference on Learning Representations.","author":"Zoph Barret","year":"2017","unstructured":"Barret Zoph and Quoc V Le. 2017. Neural architecture search with reinforcement learning. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_55_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1\u201314","author":"Zoph Barret","unstructured":"Barret Zoph, Vijay Vasudevan, Jonathon Shlens, and Quoc V. Le. 2018. Learning transferable architectures for scalable image recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1\u201314."}],"event":{"name":"GECCO '25: Genetic and Evolutionary Computation Conference","location":"NH Malaga Hotel Malaga Spain","acronym":"GECCO '25","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"]},"container-title":["Proceedings of the Genetic and Evolutionary Computation Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3712256.3726359","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T20:42:57Z","timestamp":1759869777000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3712256.3726359"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,13]]},"references-count":55,"alternative-id":["10.1145\/3712256.3726359","10.1145\/3712256"],"URL":"https:\/\/doi.org\/10.1145\/3712256.3726359","relation":{},"subject":[],"published":{"date-parts":[[2025,7,13]]},"assertion":[{"value":"2025-07-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}