Publication

Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency.

Ningyi Liao, Haoyu Liu, Zulun Zhu, Siqiang Luo, Laks V.S. Lakshmanan.

[Paper] [Code]

SIMGA: A Simple and Effective Heterophilous Graph Neural Network with Efficient Global Aggregation.

Haoyu Liu, Ningyi Liao, Siqiang Luo.

[Paper]

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] [Code]

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] [Code]

BIRD: Efficient Approximation of Bidirectional Hidden Personalized PageRank.

Haoyu Liu, Siqiang Luo.

In PVLDB 2024. [Paper]

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

Zihao Yu, Ningyi Liao, Siqiang Luo.

In PVLDB 2024. [Paper]

TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph Reasoning.

Kai Wang, Yuwei Xu, Siqiang Luo.

In PVLDB 2024. [Paper]

Personalized PageRanks over Dynamic Graphs -- The Case for Optimizing Quality of Service.

Zulun Zhu, Siqiang Luo, Wenqing Lin, Sibo Wang, Dingheng Mo, Chunbo Li.

In ICDE 2024. [Paper]

Resurrecting Label Propagation for Graphs with Heterophily and Label Noise.

Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li.

In SIGKDD 2024. [Paper]

Topology-monitorable Contrastive Learning on Dynamic Graphs.

Zulun Zhu, Kai Wang, Haoyu Liu, Jintang Li, Siqiang Luo.

In SIGKDD 2024. [Paper]

Massively Parallel Single-Source SimRanks in o(log n) Rounds.

Siqiang Luo*, Zulun Zhu* (* Order Alphabetically).

In IJCAI 2024. [Paper]

LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs.

Kai Wang, Yuwei Xu, Zhiyong Wu, Siqiang Luo.

In ACL (Findings) 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.

Distributed Graph Embedding with Information-Oriented Random Walks.

Peng Fang, Arijit Khan, Siqiang Luo, Fang Wang, Dan Feng, Zhenli Li, Wei Yin, Yuchao Cao.

In PVLDB 2023. [Paper] [TKDE Extension]

COCLEP: Contrastive Learning-based Semi-Supervised Community Search.

Ling Li, Siqiang Luo, Yuhai Zhao, Caihua Shan, Zhengkui Wang, Qin Lu.

In ICDE 2023. [Paper]

Example Searcher: A Spatial Query System via Example.

Jun Xuan Yew, Ningyi Liao, Dingheng Mo, Siqiang Luo.

In ICDE 2023. [Demo Paper] [Video]

Multi-Task Processing in Vertex-Centric Graph Systems: Evaluations and Insights.

Siqiang Luo*, Zichen Zhu*, Xiaokui Xiao, Yin Yang, Chunbo Li, Ben Kao. (* Equal Contribution)

In EDBT 2023. [Paper] [ICDE Demonstration]

Efficient Community Search in Edge-Attributed Graphs.

Ling Li, Yuhai Zhao, Siqiang Luo, Guoren Wang, Zhengkui Wang.

In TKDE 2023. [Paper]

LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embedding.

Ningyi Liao, Siqiang Luo, Xiang Li, Jieming Shi.

In NeurIPS 2023. [Paper] [Video] [Code]

DMCS : Density Modularity based Community Search.

Junghoon Kim, Siqiang Luo, Gao Cong, Wenyuan Yu.

In SIGMOD 2022. [Paper]

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]

SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization.

Ningyi Liao*, Dingheng Mo*, Siqiang Luo, Xiang Li, Pengcheng Yin. (* Equal Contribution)

In PVLDB 2022. [Paper] [Code] [VLDBJ Extension]

Example-based Spatial Search at Scale.

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

In ICDE 2022. [Paper] [Code]

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

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

In WWW 2022. [Paper] [TKDE Extension]

Spiking Graph Convolutional Networks.

Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, Siqiang Luo.

In IJCAI 2022. [Paper]

Finding Global Homophily in Graph Neural Networks When Meeting Heterophily.

Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian.

In ICML 2022. [Paper]

Agenda: Robust Personalized PageRanks in Evolving Graphs.

Dingheng Mo, Siqiang Luo.

In CIKM 2021. [Paper] [Slides] [TKDE Extension] [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]

ROAM: A Fundamental Routing Query on Road Networks with Efficiency.

Siqiang Luo, Reynold Cheng, Ben Kao, Xiaokui Xiao, Shuigeng Zhou, Jiafeng Hu.

In TKDE 2020. [Paper]

Improved Communication Cost for Distributed PageRank Computation -- A Theorectical Study.

Siqiang Luo

In ICML 2020. [Paper]

MPR - A Partitioning-Replication Framework for Multi-Processing kNN Search on Road Networks.

Siqiang Luo, Ben Kao, Xiaowei Wu, Reynold Cheng.

In ICDE 2019. [Paper]

Efficient Batch One-Hop Personalized PageRanks.

Siqiang Luo, Xiaokui Xiao, Wenqing Lin, Ben Kao.

In ICDE 2019. [Short Paper] [TKDE Extended Long Version]

Distributed PageRank Computation: An Improved Theoretical Study.

Siqiang Luo.

In AAAI 2019 (Spotlight Paper). [Conference Version] [Journal Extended Long Version]

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] [Long Technical Report]

ROSC: Robust Spectral Clustering on Multi-scale Data.

Xiang Li, Ben Kao, Siqiang Luo, Martin Ester.

In WWW 2018. [Paper]

Effective Community Search over Large Spatial Graphs.

Yixiang Fang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu.

In PVLDB 2017. [Paper] [VLDBJ Extension]

C-Explorer: Browsing Communities in Large Graphs.

Yixiang Fang, Reynold Cheng, Siqiang Luo, Jiafeng Hu, Kai Huang.

In PVLDB 2017. [Demo Paper]

On Embedding Uncertain Graphs.

Jiafeng Hu, Reynold Cheng, Zhipeng Huang, Yixiang Fang, Siqiang Luo.

In CIKM 2017. [Paper]

SEQ: Example-based Query for Spatial Objects.

Siqiang Luo, Jiafeng Hu, Reynold Cheng, Jing Yan, Ben Kao.

In CIKM 2017. [Paper]

Effective Community Search for Large Attributed Graphs.

Yixiang Fang, Reynold Cheng, Siqiang Luo, Jiafeng Hu.

In PVLDB 2016. [Paper] [VLDBJ Extension]

Querying Minimal Steiner Maximum-Connected Subgraphs in Large Graphs.

Jiafeng Hu, Xiaowei Wu, Reynold Cheng, Siqiang Luo, Yixiang Fang.

In CIKM 2016. [Paper] [TKDE Extension]

Distributed Spatial Keyword Querying on Road Networks.

Siqiang Luo, Yifeng Luo, Shuigeng Zhou, Gao Cong, Jihong Guan.

In EDBT 2014. [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]

DISKs: A System for Distributed Spatial Group Keyword Search on Road Networks.

Siqiang Luo, Yifeng Luo, Shuigeng Zhou, Gao Cong, Jihong Guan.

In VLDB 2012. [Paper]