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Siqiang Luo
​（骆思强）

Assistant Professor

siqiang.luo@ntu.edu.sg

Google Scholar

This homepage will not be maintained any more. Please visit my new homepage here at https://siqiangluo.com/

 

Short Bio.

I am a Nanyang Assistant Professor at the School of Computer Science and Engineering, Nanyang Technological University. I am also affiliated with DANTE. I received my B.S. and M.S. degrees in computer science from Fudan University, and a Ph.D. degree in computer science from the University of Hong Kong (working with Prof. Ben Kao and Prof. Reynold Cheng). I also did a Postdoc at Harvard University (working with Prof. Stratos Idreos).

Research Interest. 

I am broadly interested in big data management algorithms and systems, particularly in the following areas:

1) Scalable graph algorithms/systems. Focus on optimizing fundamental graph analytical problems, such as PageRanks, GNNs and Community Search.

2) Scalable key-value systems. Focus on optimizing the performance of key-value stores such as RocksDB, particularly in filter and index designs.

3) Machine-learning driven data management.

Hiring. A few openings for Ph.D.s and PostDocs. Please send me your CV if you are interested in working with me. I regret that only shortlisted candidates will be contacted.

Selected Publications (Full List in DBLP)

​​​​

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

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

     In ICDE 2023.

​

  • 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]

​

  • Example Searcher: A Spatial Query System via Example.

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

     In ICDE 2023. [Demo Paper][Video]

​

  • Deep Graph Structural Infomax.

      Wenting Zhao, Gongping Xu, Zhen Cui, Siqiang Luo, Cheng Long, Tong Zhang. 

     In AAAI 2023. 

​

  • 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].

​

  • 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].

​

  • Single-Source Personalized PageRanks with Workload Robustness.

     Dingheng Mo, Siqiang Luo.

     In TKDE 2022. [Paper]​

​

  • Example-based Spatial Search at Scale.
    Hanyuan Zhang, Siqiang Luo, Jieming Shi, Jing Nathan Yan, Weiwei Sun.

     In ICDE 2022. [Paper] [Code]

​

  • VC-Tune: Tuning and Exploring Distributed Vertex-Centric Graph Systems.
    Zichen Zhu, Siqiang Luo, Xiaokui Xiao, Yin Yang, Dingheng Mo, Yufei Han.

     In ICDE 2022. [Demo Paper][Video (From Zichen)]

​

  • 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]

​

  • Spiking Graph Convolutional Networks.

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

     In IJCAI 2022. [arXiv Paper]

​

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  • Agenda: Robust Personalized PageRanks in Evolving Graphs.

     Dingheng Mo, Siqiang Luo.

     In CIKM 2021. [Paper] [Slides]

​

  • 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]

​

  • Baton: Batch One-Hop Personalized PageRanks with Efficiency and Effectiveness.

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

     In TKDE 2020. [Paper]

​

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

     Siqiang Luo

     In ICML 2020. [Paper]

​

  • 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]​

​

  • 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]

​

  • Distributed PageRank Computation: An Improved Theoretical Study.

     Siqiang Luo.

     In AAAI 2019. [Paper (long version)]

​

  • On Spatial-Aware Community Search.

     Yixiang Fang, Zheng Wang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu, Xiaojun Chen.

     In TKDE 2019. [Paper]

​​​

  • 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]

​

  • 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]

​

  • C-Explorer: Browsing Communities in Large Graphs.

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

     In PVLDB 2017. [Demo Paper]

​

  • On Minimal Steiner Maximum-Connected Subgraph Queries.

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

     In TKDE 2017. [Paper]

​

  • Effective and efficient attributed community search.

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

     In VLDBJ 2017 [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]

​

  • Querying Minimal Steiner Maximum-Connected Subgraphs in Large Graphs.

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

     In CIKM 2016. [Paper]

​

  • 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. [Demo Paper]

Teams

  • Postdocs

    • Wang Kai (Sept 2022 - )

    • Yow Kai Siong (Jan 2022 - )

      • PhD from Monash U​

      • Awarded Southeast Asia Postdoc Fellowship

​

  • Ph.D. Students

    • Wang Fan (2023 Spring)

      • MS from Zhejiang University​

    • Liu Haoyu (2023 Spring)​

      • BS from Renmin University of China​

    • Zhu Zulun (2022 Spring)

      • BS from Zhejiang University​

    • Yu Weiping (2022 Spring)

      • MS from Beijing Institute of Technology​

    • Mo Dingheng (2021 Fall)

      • BS from University of Science and Technology of China

    • Liao Ningyi (2021 Fall)

      • BS from Shanghai Jiao Tong University

    • Zhang Zhaoqi (2022 Spring, co-supervised with Prof. Cong Gao)

​

  • Master Students​​

    • Li Chunbo (2021 Fall)

      • BS from Tongji U​niversity

    • Chen Mengshi (2022 Fall)

      • BS from Shanghai Jiao Tong University​

​

  • Visiting Students​​​

​

  • Past Members

    • Li Meng (Visiting PhD, July 2021 - July 2022)

    • Li Ling (Visiting PhD, Nov 2021 - Nov 2022)

    • Zhao Wenting (Visiting PhD, co-hosted with Prof. Long Cheng, Dec 2021 - Dec 2022)

    • Fang Peng (Visiting PhD, co-hosted with Prof. Arijit Khan, Mar 2022 - Dec 2022)

​

​​

Teaching

​

  • CE/CZ4123 Big Data Management (NTU, 2022 Spring)

  • CE/CZ2007 Introduction to Database (NTU, 2021 Fall)

  • CE/CZ 2101 Algorithm Design & Analysis (NTU, 2021 Fall)

Professional Services

  • Program Committee Member/Reviewer Board

    • 2023: KDD, PVLDB, EDBT, ICML, WWW, IJCAI

    • 2022: KDD, ICML, WWW, ICDE, NeurIPS, CIKM

    • 2021: CIKM, AAAI, WISE

    • 2020: ACM TURC (SIGMOD China), WISE

    • 2019: SIGMOD (Reproducibility), WISE

​

  • Journal Reviewer

    • VLDB Journal

    • IEEE TKDE​​

​​

  • Publicity Co-Chair

    • APWEB-WAIM 2022

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