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MORTAL: A Tool of Automatically Designing Relational Storage Schemas for Multi-model Data through Reinforcement Learning., and . ER Demos/Posters, volume 2958 of CEUR Workshop Proceedings, page 7-12. CEUR-WS.org, (2021)How the Quantum-inspired Framework Supports Keyword Searches on Multi-model Databases.. CIKM, page 3257-3260. ACM, (2020)Quantum Computing for Databases: Overview and Challenges., , , , , , and . CoRR, (2024)Quantum Computing for Databases: A Short Survey and Vision., , , , , , , and . VLDB Workshops, volume 3462 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Effective Generation of Relational Schema from Multi-Model Data with Reinforcement Learning., , and . ER, volume 13607 of Lecture Notes in Computer Science, page 224-235. Springer, (2022)Quantum-Inspired Keyword Search on Multi-model Databases., , and . DASFAA (2), volume 12682 of Lecture Notes in Computer Science, page 585-602. Springer, (2021)In Situ Neural Relational Schema Matcher., , , , and . ICDE, page 138-150. IEEE, (2024)When Quantum Computing Meets Database: A Hybrid Sampling Framework for Approximate Query Processing., , , , , and . IEEE Trans. Knowl. Data Eng., 36 (12): 9532-9546 (December 2024)A Demonstration of DLBD: Database Logic Bug Detection System., , , , , and . Proc. VLDB Endow., 16 (12): 3914-3917 (2023)Quantum Storage Design for Tables in RDBMS., , , , , , and . VLDB Workshops, VLDB.org, (2024)