{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T00:47:06Z","timestamp":1765500426610,"version":"3.48.0"},"publisher-location":"New York, NY, USA","reference-count":25,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,10]]},"DOI":"10.1145\/3746252.3760852","type":"proceedings-article","created":{"date-parts":[[2025,11,10]],"date-time":"2025-11-10T18:37:32Z","timestamp":1762799852000},"page":"5151-5155","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Controlled Feature Interaction Selection for Deep Sparse Networks"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-7317-3391","authenticated-orcid":false,"given":"Yuhang","family":"Qiu","sequence":"first","affiliation":[{"name":"Huazhong Agricultural University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1113-6432","authenticated-orcid":false,"given":"Biqin","family":"Song","sequence":"additional","affiliation":[{"name":"Huazhong Agricultural University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5257-2225","authenticated-orcid":false,"given":"Hong","family":"Chen","sequence":"additional","affiliation":[{"name":"Huazhong Agricultural University, Wuhan, China"}]}],"member":"320","published-online":{"date-parts":[[2025,11,10]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Controlling the false discovery rate via knockoffs. The Annals of statistics","author":"Barber Rina Foygel","year":"2015","unstructured":"Rina Foygel Barber and Emmanuel J Cand\u00e8s. 2015. Controlling the false discovery rate via knockoffs. The Annals of statistics (2015), 2055--2085."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1995.tb02031.x"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/rssb.12265"},{"key":"e_1_3_2_1_4_1","volume-title":"A survey on feature selection methods. Computers & electrical engineering 40, 1","author":"Chandrashekar Girish","year":"2014","unstructured":"Girish Chandrashekar and Ferat Sahin. 2014. A survey on feature selection methods. Computers & electrical engineering 40, 1 (2014), 16--28."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2708506"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988454"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2648.2004.03093.x"},{"key":"e_1_3_2_1_8_1","first-page":"13908","article-title":"Sparse interaction additive networks via feature interaction detection and sparse selection","volume":"35","author":"Enouen James","year":"2022","unstructured":"James Enouen and Yan Liu. 2022. Sparse interaction additive networks via feature interaction detection and sparse selection. Advances in Neural Information Processing Systems 35 (2022), 13908--13920.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2008.04.002"},{"key":"e_1_3_2_1_10_1","first-page":"392","article-title":"Progressive feature interaction search for deep sparse network","volume":"34","author":"Gao Chen","year":"2021","unstructured":"Chen Gao, Yinfeng Li, Quanming Yao, Depeng Jin, and Yong Li. 2021. Progressive feature interaction search for deep sparse network. Advances in Neural Information Processing Systems 34 (2021), 392--403.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_11_1","unstructured":"Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li and Xiuqiang He. 2017. DeepFM: a factorization-machine based neural network for CTR prediction. arXiv preprint arXiv:1703.04247 (2017)."},{"key":"e_1_3_2_1_12_1","volume-title":"Gene selection for cancer classification using support vector machines. Machine learning 46","author":"Guyon Isabelle","year":"2002","unstructured":"Isabelle Guyon, Jason Weston, Stephen Barnhill, and Vladimir Vapnik. 2002. Gene selection for cancer classification using support vector machines. Machine learning 46 (2002), 389--422."},{"volume-title":"International conference on learning representations.","author":"Jordon James","key":"e_1_3_2_1_13_1","unstructured":"James Jordon, Jinsung Yoon, and Mihaela van der Schaar. 2018. KnockoffGAN: Generating knockoffs for feature selection using generative adversarial networks. In International conference on learning representations."},{"volume-title":"Genetic algorithm based feature selection method development for pattern recognition. In 2006 SICE-ICASE international joint conference","author":"Kim Ho-Duck","key":"e_1_3_2_1_14_1","unstructured":"Ho-Duck Kim, Chang-Hyun Park, Hyun-Chang Yang, and Kwee-Bo Sim. 2006. Genetic algorithm based feature selection method development for pattern recognition. In 2006 SICE-ICASE international joint conference. IEEE, 1020--1025."},{"key":"e_1_3_2_1_15_1","volume-title":"Feature selection: A data perspective. ACM computing surveys (CSUR) 50, 6","author":"Li Jundong","year":"2017","unstructured":"Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P Trevino, Jiliang Tang, and Huan Liu. 2017. Feature selection: A data perspective. ACM computing surveys (CSUR) 50, 6 (2017), 1--45."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i7.26050"},{"key":"e_1_3_2_1_17_1","volume-title":"Auto-encoding knockoff generator for fdr controlled variable selection. arXiv preprint arXiv:1809.10765","author":"Liu Ying","year":"2018","unstructured":"Ying Liu and Cheng Zheng. 2018. Auto-encoding knockoff generator for fdr controlled variable selection. arXiv preprint arXiv:1809.10765 (2018)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00113"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.127"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2019.1660174"},{"key":"e_1_3_2_1_21_1","volume-title":"Deep direct likelihood knockoffs. Advances in neural information processing systems 33","author":"Sudarshan Mukund","year":"2020","unstructured":"Mukund Sudarshan, Wesley Tansey, and Rajesh Ranganath. 2020. Deep direct likelihood knockoffs. Advances in neural information processing systems 33 (2020), 5036--5046."},{"key":"e_1_3_2_1_22_1","volume-title":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1376--1385","author":"Tian Zhen","year":"2023","unstructured":"Zhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen, and Zhao Cao. 2023. Euler- Net: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1376--1385."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"e_1_3_2_1_24_1","volume-title":"False discovery rate estimation for cross-linked peptides identified by mass spectrometry. Nature methods 9, 9","author":"Walzthoeni Thomas","year":"2012","unstructured":"Thomas Walzthoeni, Manfred Claassen, Alexander Leitner, Franz Herzog, Stefan Bohn, Friedrich F\u00f6rster, Martin Beck, and Ruedi Aebersold. 2012. False discovery rate estimation for cross-linked peptides identified by mass spectrometry. Nature methods 9, 9 (2012), 901--903."},{"key":"e_1_3_2_1_25_1","volume-title":"Robust variable structure discovery based on tilted empirical risk minimization. Applied Intelligence","author":"Zhang Xuelin","year":"2023","unstructured":"Xuelin Zhang, Yingjie Wang, Liangxuan Zhu, Hong Chen, Han Li, and Lingjuan Wu. 2023. Robust variable structure discovery based on tilted empirical risk minimization. Applied Intelligence (2023), 1--22."}],"event":{"name":"CIKM '25: The 34th ACM International Conference on Information and Knowledge Management","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Seoul Republic of Korea","acronym":"CIKM '25"},"container-title":["Proceedings of the 34th ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746252.3760852","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T00:44:14Z","timestamp":1765500254000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746252.3760852"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,10]]},"references-count":25,"alternative-id":["10.1145\/3746252.3760852","10.1145\/3746252"],"URL":"https:\/\/doi.org\/10.1145\/3746252.3760852","relation":{},"subject":[],"published":{"date-parts":[[2025,11,10]]},"assertion":[{"value":"2025-11-10","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}