Recent Research Interest

Graph problems derived from real-world applications, such as GNNs, PageRanks, and Community Search.

Recent Publications

Scalable Decoupling Graph Neural Network with Feature-Oriented Optimization

Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin.

In VLDBJ 2024. [Paper]

Machine Learning for Subgraph Extraction: Methods, Applications and Challenges.

Yow Kai Siong, Ningyi Liao, Siqiang Luo, Reynold Cheng.

In PVLDB 2023 (Tutorial). [Slides]

Effective and Efficient Route Planning Using Historical Trajectories on Road Networks.

Wei Tian, Jieming Shi, Siqiang Luo, Hui Li, Xike Xie, Yuanhang Zou.

In PVLDB 2023.


Data structure designs that support big data systems, such as probabilistic filters and key-value indexes.

Recent Publications

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]