| 2026 | SIGMOD | Adda: An Agent-Driven in-Database Feature Generation System. | Zhenyu Li, Zhihui Yang, Kuan Lu, Jiahao Wang, Gongsheng Yuan, Sai Wu |
| 2025 | EMNLP | Cognitive-Level Adaptive Generation via Capability-Aware Retrieval and Style Adaptation. | Qingsong Wang, Tao Wu, Wang Lin, Yueying Feng, Gongsheng Yuan, Chang Yao, Jingyuan Chen |
| 2025 | ICONIP | MEDNet: Multi-level Expert Disentangled Network For EEG Classification. | Bingxu Hou, Yinchen Liu, Mingxuan Cui, Gongsheng Yuan |
| 2025 | VLDB | DBMS-LLM Integration Strategies in Industrial and Business Applications: Current Status and Future Challenges. | Zhengtong Yan, Gongsheng Yuan, Qingsong Guo, Jiaheng Lu |
| 2024 | ICDE | In Situ Neural Relational Schema Matcher. | Xingyu Du, Gongsheng Yuan, Sai Wu, Gang Chen, Peng Lu |
| 2024 | VLDB | Quantum Storage Design for Tables in RDBMS. | Tuodu Li, Gongsheng Yuan, Chang Yao, Meng Shi, Ziyue Wang, Ling Qian, Jiaheng Lu |
| 2023 | VLDB | 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 |
| 2022 | ER | Effective Generation of Relational Schema from Multi-Model Data with Reinforcement Learning. | Gongsheng Yuan, Jiaheng Lu, Zhengtong Yan |
| 2021 | CIKM | Storing Multi-model Data in RDBMSs based on Reinforcement Learning. | Gongsheng Yuan, Jiaheng Lu, Shuxun Zhang, Zhengtong Yan |
| 2021 | DASFAA | Quantum-Inspired Keyword Search on Multi-model Databases. | Gongsheng Yuan, Jiaheng Lu, Peifeng Su |
| 2021 | ER | MORTAL: A Tool of Automatically Designing Relational Storage Schemas for Multi-model Data through Reinforcement Learning. | Gongsheng Yuan, Jiaheng Lu |
| 2020 | CIKM | How the Quantum-inspired Framework Supports Keyword Searches on Multi-model Databases. | Gongsheng Yuan |