Grosbeak: A Data Warehouse Supporting Resource-Aware Incremental Computing. - Zuozhi Wang; Kai Zeng 002; Botong Huang; Wei Chen 133; Xiaozong Cui; Bo Wang; Ji Liu; Liya Fan; Dachuan Qu; Zhenyu Hou; Tao Guan; Chen Li 001; et al. (SIGMOD Conference, 2020)

Tempura: A General Cost Based Optimizer Framework for Incremental Data Processing (Extended Version). - Zuozhi Wang; Kai Zeng 002; Botong Huang; Wei Chen 133; Xiaozong Cui; Bo Wang; Ji Liu; Liya Fan; Dachuan Qu; Zhenyu Hou; Tao Guan; Chen Li 001; et al. (CoRR, 2020)

Tempura: A General Cost-Based Optimizer Framework for Incremental Data Processing. - Zuozhi Wang; Kai Zeng 002; Botong Huang; Wei Chen 133; Xiaozong Cui; Bo Wang; Ji Liu; Liya Fan; Dachuan Qu; Zhenyu Hou; Tao Guan; Chen Li 001; et al. (Proc. VLDB Endow., 2020)

Glue: Adaptively Merging Single Table Cardinality to Estimate Join Query Size. - Rong Zhu; Tianjing Zeng; Andreas Pfadler; Wei Chen 133; Bolin Ding; Jingren Zhou 001 (CoRR, 2021)

Baihe: SysML Framework for AI-driven Databases. - Andreas Pfadler; Rong Zhu; Wei Chen 133; Botong Huang; Tianjing Zeng; Bolin Ding; Jingren Zhou 001 (CoRR, 2021)

Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing. - Chenghao Lyu; Qi Fan; Fei Song; Arnab Sinha; Yanlei Diao; Wei Chen 133; Li Ma; Yihui Feng; Yaliang Li; Kai Zeng 002; Jingren Zhou 001 (Proc. VLDB Endow., 2022)

Lero: A Learning-to-Rank Query Optimizer. - Rong Zhu; Wei Chen 133; Bolin Ding; Xingguang Chen; Andreas Pfadler; Ziniu Wu; Jingren Zhou 001 (Proc. VLDB Endow., 2023)

Tempura: a general cost-based optimizer framework for incremental data processing (Journal Version). - Zuozhi Wang; Kai Zeng 002; Botong Huang; Wei Chen 133; Xiaozong Cui; Bo Wang; Ji Liu; Liya Fan; Dachuan Qu; Zhenyu Hou; Tao Guan; Chen Li 001; et al. (VLDB J., 2023)

Agamotto: Scheduling of Deadline-Oriented Incremental Query Execution under Uncertain Resource Price. - Botong Huang; Lianggui Weng; Wei Chen 133; Zuozhi Wang; Kai Zeng 002; Chen Li 001; Yihui Feng; Bolin Ding; Jingren Zhou 001 (Proc. VLDB Endow., 2025)