{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,22]],"date-time":"2026-03-22T09:04:07Z","timestamp":1774170247509,"version":"3.50.1"},"reference-count":48,"publisher":"Zhejiang University Press","issue":"1","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Front Inform Technol Electron Eng"],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1631\/fitee.2300303","type":"journal-article","created":{"date-parts":[[2024,2,8]],"date-time":"2024-02-08T03:04:06Z","timestamp":1707361446000},"page":"135-148","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Controllable image generation based on causal representation learning","\u57fa\u4e8e\u56e0\u679c\u8868\u5f81\u5b66\u4e60\u7684\u53ef\u63a7\u56fe\u50cf\u751f\u6210"],"prefix":"10.1631","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7893-3861","authenticated-orcid":false,"given":"Shanshan","family":"Huang","sequence":"first","affiliation":[]},{"given":"Yuanhao","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Zhili","family":"Gong","sequence":"additional","affiliation":[]},{"given":"Jun","family":"Liao","sequence":"additional","affiliation":[]},{"given":"Shu","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4776-5292","authenticated-orcid":false,"given":"Li","family":"Liu","sequence":"additional","affiliation":[]}],"member":"635","published-online":{"date-parts":[[2024,2,8]]},"reference":[{"key":"ref1","first-page":"372","article-title":"Interventional causal representation learning","author":"Ahuja","year":"2023","journal-title":"Proc 43th Int Conf on Machine Learning"},{"key":"ref2","first-page":"364","article-title":"Diffusion visual counterfactual explanations","author":"Augustin","year":"2022","journal-title":"Proc 36th Advances in Neural Information Processing Systems"},{"key":"ref3","first-page":"38319","article-title":"Weakly supervised causal representation learning","author":"Brehmer","year":"2022","journal-title":"Proc 36th Advances in Neural Information Processing Systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/icassp39728.2021.9414770"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2016.90"},{"key":"ref6","first-page":"6629","article-title":"GANs trained by a two time-scale update rule converge to a local Nash equilibrium","author":"Heusel","year":"2017","journal-title":"Proc 31st Int Conf on Neural Information Processing Systems"},{"key":"ref7","article-title":"An overview of controllable image synthesis: current challenges and future trends","volume-title":"SSRN","author":"Huang","year":"2023"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2022.105006"},{"key":"ref9","article-title":"Causal-GAN: learning causal implicit generative models with adversarial training","author":"Kocaoglu","year":"2018","journal-title":"Proc Int Conf on Learning Representations"},{"key":"ref10","article-title":"Gradient-based neural DAG learning","author":"Lachapelle","year":"2020","journal-title":"Proc 8th Int Conf on Learning Representations"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.csbj.2022.04.035"},{"key":"ref12","volume-title":"Structural au-toencoders improve representations for generation and transfer.","author":"Leeb","year":"2020"},{"key":"ref13","first-page":"13557","article-title":"CITRIS: causal identifiability from temporal intervened sequences","author":"Lippe","year":"2022","journal-title":"Proc 39th Int Conf on Machine Learning"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2015.425"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2017.14"},{"key":"ref16","volume-title":"Nonlinear invariant risk minimization: a causal approach.","author":"Lu","year":"2021"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.00788"},{"key":"ref18","volume-title":"Causal adversarial network for learning conditional and interventional distributions.","author":"Moraffah","year":"2020"},{"key":"ref19","volume-title":"A graph autoencoder approach to causal structure learning.","author":"Ng","year":"2019"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611977172.48"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3487042"},{"key":"ref22","volume-title":"DAG-WGAN: causal structure learning with Wasserstein generative adversarial networks.","author":"Petkov","year":"2022"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87240-3_75"},{"key":"ref24","first-page":"2234","article-title":"Improved techniques for training GANs","author":"Salimans","year":"2016","journal-title":"Proc 30th Int Conf on Neural Information Processing Systems"},{"key":"ref25","first-page":"647","article-title":"Diffusion causal models for counterfactual estimation","author":"Sanchez","year":"2022","journal-title":"Proc 1st Conf on Causal Learning and Reasoning"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-18576-2_4"},{"key":"ref27","article-title":"Counterfactual generative networks","author":"Sauer","year":"2021","journal-title":"Proc 9th Int Conf on Learning Representations"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/jproc.2021.3058954"},{"issue":"1","key":"ref29","first-page":"241","article-title":"Weakly supervised disentangled generative causal representation learning","volume":"23","author":"Shen","year":"2022","journal-title":"J Mach Learn Res"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr46437.2021.00158"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2020.3034267"},{"key":"ref32","first-page":"37484","article-title":"Singular value fine-tuning: few-shot segmentation requires few-parameters fine-tuning","author":"Sun","year":"2022","journal-title":"Proc 36th Advances in Neural Information Processing Systems"},{"key":"ref33","first-page":"6056","article-title":"Robustly disentangled causal mechanisms: validating deep representations for interventional robustness","author":"Suter","year":"2019","journal-title":"Proc 36th Int Conf on Machine Learning"},{"key":"ref34","volume-title":"Learning DAGs without imposing acyclicity.","author":"Varando","year":"2020"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3527154"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512251"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/491"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ictai52525.2021.00023"},{"key":"ref39","first-page":"328","article-title":"DAGs with no fears: a closer look at continuous optimization for learning Bayesian networks","author":"Wei","year":"2020","journal-title":"Proc 34th Int Conf on Neural Information Processing Systems"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2022.3181070"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr46437.2021.00947"},{"key":"ref42","first-page":"7154","article-title":"DAG-GNN: DAG structure learning with graph neural networks","author":"Yu","year":"2019","journal-title":"Proc 36th Int Conf on Machine Learning"},{"key":"ref43","doi-asserted-by":"crossref","DOI":"10.1109\/ICCV51070.2023.00355","volume-title":"Adding conditional control to text-to-image diffusion models.","author":"Zhang","year":"2023"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-021-03094-8"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/iccv48922.2021.01108"},{"key":"ref46","first-page":"9492","article-title":"DAGs with NO TEARS: continuous optimization for structure learning","author":"Zheng","year":"2018","journal-title":"Proc 32nd Int Conf on Neural Information Processing Systems"},{"key":"ref47","volume-title":"Dooperation guided causal representation learning with reduced supervision strength.","author":"Zhu","year":"2022"},{"key":"ref48","article-title":"Causal discovery with reinforcement learning","author":"Zhu","year":"2020","journal-title":"Proc 8th Int Conf on Learning Representations"}],"container-title":["Frontiers of Information Technology & Electronic Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1631\/FITEE.2300303.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1631\/FITEE.2300303\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1631\/FITEE.2300303.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T06:36:56Z","timestamp":1771655816000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1631\/FITEE.2300303"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1]]},"references-count":48,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2024,1]]}},"alternative-id":["303"],"URL":"https:\/\/doi.org\/10.1631\/fitee.2300303","relation":{},"ISSN":["2095-9184","2095-9230"],"issn-type":[{"value":"2095-9184","type":"print"},{"value":"2095-9230","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1]]},"assertion":[{"value":"5 May 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 October 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 February 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"All the authors declare that they have no conflict of interest.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethics guidelines"}}]}}