Recent Research Interest

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

Recent Publications

Efficient Approximation of Bidirectional Hidden Personalized PageRank.

Haoyu Liu, Siqiang Luo.

In PVLDB 2024.

GENTI: GPU-powered Walk-based Subgraph Extraction for Scalable Representation Learning on Dynamic Graphs.

Zihao Yu, Ningyi Liao, Siqiang Luo.

In PVLDB 2024.

Scalable Decoupling Graph Neural Network with Feature-Oriented Optimization

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

In VLDBJ 2024. [Paper] [Code]

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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]

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.

Oasis: An Optimal Disjoint Segmented Learned Range Filter.

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

In PVLDB 2024.

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