Suppression of coupling interference based on variable step size LMS algorithm. - Zhengtong Yan; Qunfei Zhang; Wentao Shi 001 (ICSPCC, 2017)

Storing Multi-model Data in RDBMSs based on Reinforcement Learning. - Gongsheng Yuan; Jiaheng Lu; Shuxun Zhang; Zhengtong Yan (CIKM, 2021)

Workload-Aware Performance Tuning for Autonomous DBMSs. - Zhengtong Yan; Jiaheng Lu; Naresh Chainani; Chunbin Lin (ICDE, 2021)

Effective Generation of Relational Schema from Multi-Model Data with Reinforcement Learning. - Gongsheng Yuan; Jiaheng Lu; Zhengtong Yan (ER, 2022)

Quantum Machine Learning: Foundation, New Techniques, and Opportunities for Database Research. - Tobias Winker; Sven Groppe; Valter Uotila; Zhengtong Yan; Jiaheng Lu; Maja Franz; Wolfgang Mauerer (SIGMOD Conference Companion, 2023)

Quantum Computing for Databases: A Short Survey and Vision. - Gongsheng Yuan; Jiaheng Lu; Yuxing Chen; Sai Wu; Chang Yao; Zhengtong Yan; Tuodu Li; Gang Chen 001 (VLDB Workshops, 2023)

A Survey on Mapping Semi-Structured Data and Graph Data to Relational Data. - Gongsheng Yuan; Jiaheng Lu; Zhengtong Yan; Sai Wu (ACM Comput. Surv., 2023)

Join Order Selection with Deep Reinforcement Learning: Fundamentals, Techniques, and Challenges. - Zhengtong Yan; Valter Uotila; Jiaheng Lu (Proc. VLDB Endow., 2023)

QCE'24 Tutorial: Quantum Annealing - Emerging Exploration for Database Optimization. - Nitin Nayak; Manuel Schönberger; Valter Uotila; Zhengtong Yan; Sven Groppe; Jiaheng Lu; Wolfgang Mauerer (CoRR, 2024)

DBMS-LLM Integration Strategies in Industrial and Business Applications: Current Status and Future Challenges. - Zhengtong Yan; Gongsheng Yuan; Qingsong Guo; Jiaheng Lu (CoRR, 2025)