Publication

CAMAL: Optimizing LSM-trees via Active Learning.

Weiping Yu, Siqiang Luo, Zihao Yu, Gao Cong.

In SIGMOD 2025.

Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in A Colossal Configuration Space.

*Junfeng Liu, *Fan Wang, Dingheng Mo, Siqiang Luo. (* Equal Contribution)

In SIGMOD 2024. [Paper] [Video]

Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads.

Dingheng Mo, Fanchao Chen, Siqiang Luo, Caihua Shan.

In SIGMOD 2024. [Paper] [Video]

Oasis: An Optimal Disjoint Segmented Learned Range Filter.

Guanduo Chen, Zhenying He, Meng Li, Siqiang Luo.

In PVLDB 2024. [Paper]

Seesaw Counting Filter: A Dynamic Filtering Framework for Vulnerable Negative Keys.

Meng Li, Deyi Chen, Haipeng Dai, Rongbiao Xie, Siqiang Luo, Rong Gu, Tong Yang, Guihai Chen.

In TKDE 2023.

Proteus: A Self-Designing Range Filter.

Eric Knorr*, Baptiste Lemaire*, Andrew Lim*, Siqiang Luo, Huanchen Zhang, Stratos Idreos, Michael Mitzenmacher. (* Equal Contribution)

In SIGMOD 2022. [Paper] [Code]

Seesaw Counting Filter: An Efficient Guardian for Vulnerable Negative Keys During Dynamic Filtering.

Li Meng, Deyi Chen, Haipeng Dai, Rongbiao Xie, Siqiang Luo, Rong Gu, Tong Yang, Guihai Chen.

In WWW 2022. [Paper]

Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores.

Siqiang Luo, Subarna Chatterjee, Rafael Ketsetsides, Niv Dayan, Wilson Qin, Stratos Idreos.

In SIGMOD 2020. [Paper] [Video]