Papers

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]

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]

Example-based Spatial Search at Scale.

Hanyuan Zhang, Siqiang Luo, Jieming Shi, Jing Nathan Yan, Weiwei Sun.

In ICDE 2022. [Paper] [code]

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]

TOAIN: A Throughput Optimizing Adaptive Index for Answering Dynamic kNN Queries on Road Networks.

Siqiang Luo, Ben Kao, Guoliang Li, Jiafeng Hu, Reynold Cheng, Yudian Zheng.

In PVLDB 2018. [Paper]

Shortest path and distance queries on road networks: towards bridging theory and practice.

Andy Diwen Zhu, Hui Ma, Xiaokui Xiao, Siqiang Luo, Youze Tang, Shuigeng Zhou.

In SIGMOD 2013. [Paper]