{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T08:26:09Z","timestamp":1770279969927,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":58,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,6,9]],"date-time":"2024-06-09T00:00:00Z","timestamp":1717891200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,6,9]]},"DOI":"10.1145\/3626246.3654686","type":"proceedings-article","created":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T10:26:39Z","timestamp":1716459999000},"page":"622-629","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Machine Learning for Databases: Foundations, Paradigms, and Open problems"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4430-6373","authenticated-orcid":false,"given":"Gao","family":"Cong","sequence":"first","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3641-1054","authenticated-orcid":false,"given":"Jingyi","family":"Yang","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-7161-1421","authenticated-orcid":false,"given":"Yue","family":"Zhao","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}]}],"member":"320","published-online":{"date-parts":[[2024,6,9]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"2021. Documentation PostgreSQL 12 Explain. https:\/\/www.postgresql.org\/docs\/ 12\/sql-explain.html"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/MDM55031.2022.00023"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.14778\/3611540.3611544"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.14778\/3598581.3598597"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3299869.3324957"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3318464.3389711"},{"key":"e_1_3_2_1_7_1","volume-title":"RW-Tree: A Learned Workload-aware Framework for R-tree Construction. In 2022 IEEE 38th International Conference on Data Engineering. IEEE.","author":"Dong Haowen","year":"2022","unstructured":"Haowen Dong, Chengliang Chai, Yuyu Luo, Jiabin Liu, Jianhua Feng, and Chaoqun Zhan. 2022. RW-Tree: A Learned Workload-aware Framework for R-tree Construction. In 2022 IEEE 38th International Conference on Data Engineering. IEEE."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.14778\/3389133.3389135"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3588917"},{"key":"e_1_3_2_1_10_1","volume-title":"Neural networks: a comprehensive foundation","author":"Haykin Simon","unstructured":"Simon Haykin. 1994. Neural networks: a comprehensive foundation. Prentice Hall PTR."},{"key":"e_1_3_2_1_11_1","volume-title":"One Model to Rule them All: Towards Zero-Shot Learning for Databases. CoRR abs\/2105.00642","author":"Hilprecht Benjamin","year":"2021","unstructured":"Benjamin Hilprecht and Carsten Binnig. 2021. One Model to Rule them All: Towards Zero-Shot Learning for Databases. CoRR abs\/2105.00642 (2021). arXiv:2105.00642 https:\/\/arxiv.org\/abs\/2105.00642"},{"key":"e_1_3_2_1_12_1","volume-title":"Long short-term memory. Neural computation 9, 8","author":"Hochreiter Sepp","year":"1997","unstructured":"Sepp Hochreiter and J\u00fcrgen Schmidhuber. 1997. Long short-term memory. Neural computation 9, 8 (1997), 1735--1780."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.14778\/3476311.3476408"},{"key":"e_1_3_2_1_14_1","volume-title":"Feng Cheng, Shixuan Sun, and Bingsheng He.","author":"Zhi Kang Johan Kok","year":"2021","unstructured":"Johan Kok Zhi Kang, Gaurav, Sien Yi Tan, Feng Cheng, Shixuan Sun, and Bingsheng He. 2021. Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload. In SIGMOD. ACM, 1014--1022."},{"key":"e_1_3_2_1_15_1","unstructured":"Diederik P Kingma and Max Welling. 2014. Auto-encoding variational bayes. In ICLR."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3401071.3401659"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3196909"},{"key":"e_1_3_2_1_18_1","volume-title":"Learning to optimize join queries with deep reinforcement learning. arXiv preprint arXiv:1808.03196","author":"Krishnan Sanjay","year":"2018","unstructured":"Sanjay Krishnan, Zongheng Yang, Ken Goldberg, Joseph Hellerstein, and Ion Stoica. 2018. Learning to optimize join queries with deep reinforcement learning. arXiv preprint arXiv:1808.03196 (2018)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3588713"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3514221.3526179"},{"key":"e_1_3_2_1_21_1","volume-title":"Machine Learning for Data Management: A System View. In 2022 IEEE 38th International Conference on Data Engineering (ICDE). 3198--3201","author":"Li Guoliang","year":"2022","unstructured":"Guoliang Li and Xuanhe Zhou. 2022. Machine Learning for Data Management: A System View. In 2022 IEEE 38th International Conference on Data Engineering (ICDE). 3198--3201."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3448016.3457542"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3486001.3486248"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.14778\/3598581.3598589"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3318464.3389703"},{"key":"e_1_3_2_1_26_1","volume-title":"Umar Farooq Minhas, and Tianzheng Wang","author":"Lu Baotong","year":"2021","unstructured":"Baotong Lu, Jialin Ding, Eric Lo, Umar Farooq Minhas, and Tianzheng Wang. 2021. APEX: A High-Performance Learned Index on Persistent Memory. arXiv preprint arXiv:2105.00683 (2021)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3448016.3452838"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.14778\/3342263.3342644"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3211954.3211957"},{"key":"e_1_3_2_1_30_1","first-page":"1","article-title":"Deep Reinforcement Learning for Join Order Enumeration. In aiDM@SIGMOD 2018","volume":"3","author":"Marcus Ryan","year":"2018","unstructured":"Ryan Marcus and Olga Papaemmanouil. 2018. Deep Reinforcement Learning for Join Order Enumeration. In aiDM@SIGMOD 2018. ACM, 3:1--3:4.","journal-title":"ACM"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626734"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.5555\/3015812.3016002"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3448016.3457568"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.14778\/3583140.3583164"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.14778\/3503585.3503600"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.14778\/3407790.3407829"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.14778\/3565838.3565848"},{"key":"e_1_3_2_1_38_1","first-page":"307","article-title":"An end-to-end learning-based cost estimator","volume":"13","author":"Sun Ji","year":"2019","unstructured":"Ji Sun and Guoliang Li. 2019. An end-to-end learning-based cost estimator. VLDB 13, 3 (2019), 307--319.","journal-title":"VLDB"},{"key":"e_1_3_2_1_39_1","volume-title":"Proc. ACL","author":"Tai Kai Sheng","year":"2015","unstructured":"Kai Sheng Tai, Richard Socher, and Christopher D. Manning. 2015. Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks. In Proc. ACL 2015. 1556--1566."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.14778\/3554821.3554896"},{"key":"e_1_3_2_1_41_1","volume-title":"Database Optimizers in the Era of Learning. In 2022 IEEE 38th International Conference on Data Engineering (ICDE). 3213--3216","author":"Tsesmelis Dimitris","year":"2022","unstructured":"Dimitris Tsesmelis and Alkis Simitsis. 2022. Database Optimizers in the Era of Learning. In 2022 IEEE 38th International Conference on Data Engineering (ICDE). 3213--3216."},{"key":"e_1_3_2_1_42_1","volume-title":"arXiv:1706.03762","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention Is All You Need. arXiv:1706.03762 (2017)."},{"key":"e_1_3_2_1_43_1","volume-title":"2019 20th IEEE International Conference on Mobile Data Management (MDM). IEEE, 569--574","author":"Fu Xiaoyi","year":"2019","unstructured":"HaixinWang, Xiaoyi Fu, Jianliang Xu, and Hua Lu. 2019. Learned index for spatial queries. In 2019 20th IEEE International Conference on Mobile Data Management (MDM). IEEE, 569--574."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.14778\/3611540.3611589"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3448016.3457541"},{"key":"e_1_3_2_1_46_1","volume-title":"12th Conference on Innovative Data Systems Research, CIDR 2022","author":"Wu Ziniu","year":"2022","unstructured":"Ziniu Wu, Pei Yu, Peilun Yang, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, and Jingren Zhou. [n. d.]. A Unified Transferable Model for MLEnhanced DBMS. In 12th Conference on Innovative Data Systems Research, CIDR 2022, Chaminade, CA, USA, January 9--12, 2022."},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.14778\/3611540.3611576"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626742"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3514221.3526168"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626769"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3514221.3517885"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE48307.2020.00116"},{"key":"e_1_3_2_1_53_1","volume-title":"Automatic View Generation with Deep Learning and Reinforcement Learning. In ICDE","author":"Yuan Haitao","year":"2020","unstructured":"Haitao Yuan, Guoliang Li, Ling Feng, Ji Sun, and Yue Han. 2020. Automatic View Generation with Deep Learning and Reinforcement Learning. In ICDE 2020. IEEE, 1501--1512."},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3514221.3526052"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3514221.3526156"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.14778\/3529337.3529349"},{"key":"e_1_3_2_1_57_1","volume-title":"Proceedings of the VLDB Endowment 17","author":"Zhao Yue","year":"2024","unstructured":"Yue Zhao, Zhaodonghui Li, and Gao Cong. 2024. A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies. Proceedings of the VLDB Endowment 17, 4 (2024)."},{"key":"e_1_3_2_1_58_1","unstructured":"Rong Zhu ZiniuWu Chengliang Chai Andreas Pfadler Bolin Ding Guoliang Li and Jingren Zhou. 2022. Learned Query Optimizer: At the Forefront of AI-Driven Databases.. In EDBT. 1--4."}],"event":{"name":"SIGMOD\/PODS '24: International Conference on Management of Data","location":"Santiago AA Chile","acronym":"SIGMOD\/PODS '24","sponsor":["SIGMOD ACM Special Interest Group on Management of Data"]},"container-title":["Companion of the 2024 International Conference on Management of Data"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3626246.3654686","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3626246.3654686","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T11:33:09Z","timestamp":1755862389000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3626246.3654686"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,9]]},"references-count":58,"alternative-id":["10.1145\/3626246.3654686","10.1145\/3626246"],"URL":"https:\/\/doi.org\/10.1145\/3626246.3654686","relation":{},"subject":[],"published":{"date-parts":[[2024,6,9]]},"assertion":[{"value":"2024-06-09","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}