{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T21:58:00Z","timestamp":1766267880204,"version":"build-2065373602"},"publisher-location":"New York, NY, USA","reference-count":25,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T00:00:00Z","timestamp":1697846400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"European Union","award":["NextGenerationEU"],"award-info":[{"award-number":["NextGenerationEU"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,21]]},"DOI":"10.1145\/3583780.3615202","type":"proceedings-article","created":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T03:45:42Z","timestamp":1697859942000},"page":"4450-4454","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["FCT-GAN: Enhancing Global Correlation of Table Synthesis via Fourier Transform"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6549-3414","authenticated-orcid":false,"given":"Zilong","family":"Zhao","sequence":"first","affiliation":[{"name":"Delft University of Technology, Delft, Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1144-3707","authenticated-orcid":false,"given":"Robert","family":"Birke","sequence":"additional","affiliation":[{"name":"University of Turin, Turin, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4228-6735","authenticated-orcid":false,"given":"Lydia Y.","family":"Chen","sequence":"additional","affiliation":[{"name":"Delft University of Technology, Delft, Netherlands"}]}],"member":"320","published-online":{"date-parts":[[2023,10,21]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383455.3422554"},{"key":"e_1_3_2_1_2_1","first-page":"4479","article-title":"Fast fourier convolution","volume":"33","author":"Chi Lu","year":"2020","unstructured":"Lu Chi, Borui Jiang, and Yadong Mu. 2020. Fast fourier convolution. NeurIPS, Vol. 33 (2020), 4479--4488.","journal-title":"NeurIPS"},{"key":"e_1_3_2_1_3_1","volume-title":"Generating multi-label discrete patient records using generative adversarial networks. arXiv preprint arXiv:1703.06490","author":"Choi Edward","year":"2017","unstructured":"Edward Choi, Siddharth Biswal, Bradley Malin, Jon Duke, Walter F Stewart, and Jimeng Sun. 2017. Generating multi-label discrete patient records using generative adversarial networks. arXiv preprint arXiv:1703.06490 (2017)."},{"key":"e_1_3_2_1_4_1","volume-title":"Adversarial audio synthesis. arXiv preprint arXiv:1802.04208","author":"Donahue Chris","year":"2018","unstructured":"Chris Donahue, Julian McAuley, and Miller Puckette. 2018. Adversarial audio synthesis. arXiv preprint arXiv:1802.04208 (2018)."},{"key":"e_1_3_2_1_5_1","volume-title":"NeurIPS","volume":"27","author":"Goodfellow Ian","year":"2014","unstructured":"Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014. Generative adversarial nets. NeurIPS, Vol. 27 (2014)."},{"key":"e_1_3_2_1_6_1","unstructured":"Ishaan Gulrajani Faruk Ahmed Martin Arjovsky Vincent Dumoulin and Aaron Courville. 2017. Improved Training of Wasserstein GANs. In NeurIPS (Long Beach California USA). 5769--5779."},{"key":"e_1_3_2_1_7_1","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume":"33","author":"Ho Jonathan","year":"2020","unstructured":"Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020. Denoising diffusion probabilistic models. Advances in Neural Information Processing Systems, Vol. 33 (2020), 6840--6851.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1981.1163711"},{"key":"e_1_3_2_1_9_1","volume-title":"TabDDPM: Modelling Tabular Data with Diffusion Models. arXiv preprint arXiv:2209.15421","author":"Kotelnikov Akim","year":"2022","unstructured":"Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, and Artem Babenko. 2022. TabDDPM: Modelling Tabular Data with Diffusion Models. arXiv preprint arXiv:2209.15421 (2022)."},{"key":"e_1_3_2_1_10_1","volume-title":"Proceedings of the 25th International Conference on Neural Information Processing Systems -","volume":"1","author":"Krizhevsky Alex","unstructured":"Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. 2012. ImageNet Classification with Deep Convolutional Neural Networks. In Proceedings of the 25th International Conference on Neural Information Processing Systems - Volume 1 (Lake Tahoe, Nevada) (NIPS'12). Red Hook, NY, USA, 1097--1105."},{"key":"e_1_3_2_1_11_1","first-page":"4263","article-title":"Invertible Tabular GANs","volume":"34","author":"Lee Jaehoon","year":"2021","unstructured":"Jaehoon Lee, Jihyeon Hyeong, Jinsung Jeon, Noseong Park, and Jihoon Cho. 2021. Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis. NeurIPS, Vol. 34 (2021), 4263--4273.","journal-title":"NeurIPS"},{"key":"e_1_3_2_1_12_1","volume-title":"Fnet: Mixing tokens with fourier transforms. arXiv preprint arXiv:2105.03824","author":"Lee-Thorp James","year":"2021","unstructured":"James Lee-Thorp, Joshua Ainslie, Ilya Eckstein, and Santiago Ontanon. 2021. Fnet: Mixing tokens with fourier transforms. arXiv preprint arXiv:2105.03824 (2021)."},{"key":"e_1_3_2_1_13_1","volume-title":"Fourier neural operator for parametric partial differential equations. arXiv preprint arXiv:2010.08895","author":"Li Zongyi","year":"2020","unstructured":"Zongyi Li, Nikola Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew Stuart, and Anima Anandkumar. 2020. Fourier neural operator for parametric partial differential equations. arXiv preprint arXiv:2010.08895 (2020)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/18.61115"},{"key":"e_1_3_2_1_15_1","volume-title":"Fast training of convolutional networks through ffts. arXiv preprint arXiv:1312.5851","author":"Mathieu Michael","year":"2013","unstructured":"Michael Mathieu, Mikael Henaff, and Yann LeCun. 2013. Fast training of convolutional networks through ffts. arXiv preprint arXiv:1312.5851 (2013)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.14778\/3231751.3231757"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.3390\/e19020047"},{"key":"e_1_3_2_1_18_1","first-page":"980","article-title":"Global filter networks for image classification","volume":"34","author":"Rao Yongming","year":"2021","unstructured":"Yongming Rao, Wenliang Zhao, Zheng Zhu, Jiwen Lu, and Jie Zhou. 2021. Global filter networks for image classification. NeurIPS, Vol. 34 (2021), 980--993.","journal-title":"NeurIPS"},{"key":"e_1_3_2_1_19_1","first-page":"7462","article-title":"Implicit neural representations with periodic activation functions","volume":"33","author":"Sitzmann Vincent","year":"2020","unstructured":"Vincent Sitzmann, Julien Martel, Alexander Bergman, David Lindell, and Gordon Wetzstein. 2020. Implicit neural representations with periodic activation functions. NeurIPS, Vol. 33 (2020), 7462--7473.","journal-title":"NeurIPS"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/30.125072"},{"key":"e_1_3_2_1_21_1","volume-title":"NeurIPS","volume":"32","author":"Xu Lei","year":"2019","unstructured":"Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, and Kalyan Veeramachaneni. 2019. Modeling Tabular data using Conditional GAN. In NeurIPS, Vol. 32. Curran Associates, Inc., 7335--7345. https:\/\/proceedings.neurips.cc\/paper\/2019\/file\/254ed7d2de3b23ab10936522dd547b78-Paper.pdf"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10804"},{"key":"e_1_3_2_1_23_1","volume-title":"CTAB-GAN: Effective Table Data Synthesizing. In Proceedings of The 13th Asian Conference on Machine Learning","volume":"157","author":"Zhao Zilong","unstructured":"Zilong Zhao, Aditya Kunar, Robert Birke, and Lydia Y. Chen. 2021. CTAB-GAN: Effective Table Data Synthesizing. In Proceedings of The 13th Asian Conference on Machine Learning, Vol. 157. 97--112. https:\/\/proceedings.mlr.press\/v157\/zhao21a.html"},{"key":"e_1_3_2_1_24_1","volume-title":"Chen","author":"Zhao Zilong","year":"2022","unstructured":"Zilong Zhao, Aditya Kunar, Robert Birke, and Lydia Y. Chen. 2022. CTAB-GAN: Enhancing Tabular Data Synthesis. arXiv preprint arXiv:2204.00401 (2022)."},{"key":"e_1_3_2_1_25_1","volume-title":"Chen","author":"Zhu Yujin","year":"2022","unstructured":"Yujin Zhu, Zilong Zhao, Robert Birke, and Lydia Y. Chen. 2022. Permutation-Invariant Tabular Data Synthesis. arXiv preprint arXiv:2211.09286 (2022)."}],"event":{"name":"CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Birmingham United Kingdom","acronym":"CIKM '23"},"container-title":["Proceedings of the 32nd ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583780.3615202","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3583780.3615202","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T18:07:11Z","timestamp":1755799631000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583780.3615202"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,21]]},"references-count":25,"alternative-id":["10.1145\/3583780.3615202","10.1145\/3583780"],"URL":"https:\/\/doi.org\/10.1145\/3583780.3615202","relation":{},"subject":[],"published":{"date-parts":[[2023,10,21]]},"assertion":[{"value":"2023-10-21","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}