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.

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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]

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