Siqiang Luo

According to our database, Siqiang Luo authored at least 73 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

CAMAL: Optimizing LSM-trees via Active Learning.

Weiping Yu, Siqiang Luo, Zihao Yu, Gao Cong

Proc. ACM Manag. Data, September, 2024

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

Kai Wang, Yuwei Xu, Siqiang Luo

Proc. VLDB Endow., June, 2024

Scalable decoupling graph neural network with feature-oriented optimization.

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

VLDB J., May, 2024

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

Zihao Yu, Ningyi Liao, Siqiang Luo

Proc. VLDB Endow., May, 2024

BIRD: Efficient Approximation of Bidirectional Hidden Personalized PageRank.

Haoyu Liu, Siqiang Luo

Proc. VLDB Endow., May, 2024

Oasis: An Optimal Disjoint Segmented Learned Range Filter.

Guanduo Chen, Meng Li, Siqiang Luo, Zhenying He

Proc. VLDB Endow., April, 2024

Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in a Colossal Configuration Space.

Junfeng Liu, Fan Wang, Dingheng Mo, Siqiang Luo

Proc. ACM Manag. Data, 2024

Towards Graph Foundation Models: The Perspective of Zero-shot Reasoning on Knowledge Graphs.

Kai Wang, Siqiang Luo

CoRR, 2024

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

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

CoRR, 2024

Unifews: Unified Entry-Wise Sparsification for Efficient Graph Neural Network.

Ningyi Liao, Zihao Yu, Siqiang Luo

CoRR, 2024

Towards Learning from Graphs with Heterophily: Progress and Future.

Chenghua Gong, Yao Cheng, Xiang Li, Caihua Shan, Siqiang Luo, Chuan Shi

CoRR, 2024

Topology-monitorable Contrastive Learning on Dynamic Graphs.

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Resurrecting Label Propagation for Graphs with Heterophily and Label Noise.

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Massively Parallel Single-Source SimRanks in O(log N) Rounds.

Siqiang Luo, Zulun Zhu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

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

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

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Efficient Community Search in Edge-Attributed Graphs (Extended Abstract).

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

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

StructAM: Enhancing Address Matching through Semantic Understanding of Structure-aware Information.

Zhaoqi Zhang, Pasquale Balsebre, Siqiang Luo, Zhen Hai, Jiangping Huang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

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

Kai Wang, Yuwei Xu, Zhiyong Wu, Siqiang Luo

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

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

IEEE Trans. Knowl. Data Eng., December, 2023

Efficient Community Search in Edge-Attributed Graphs.

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

IEEE Trans. Knowl. Data Eng., October, 2023

Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads.

Dingheng Mo, Fanchao Chen, Siqiang Luo, Caihua Shan

Proc. ACM Manag. Data, September, 2023

Single-Source Personalized PageRanks With Workload Robustness.

Dingheng Mo, Siqiang Luo

IEEE Trans. Knowl. Data Eng., June, 2023

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

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

Proc. VLDB Endow., 2023

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

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

Proc. VLDB Endow., 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

Proc. VLDB Endow., 2023

Label Propagation for Graph Label Noise.

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

CoRR, 2023

River of No Return: Graph Percolation Embeddings for Efficient Knowledge Graph Reasoning.

Kai Wang, Siqiang Luo, Dan Lin

CoRR, 2023

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

Haoyu Liu, Ningyi Liao, Siqiang Luo

CoRR, 2023

Less is More: Towards Lightweight Cost Estimator for Database Systems.

Weiping Yu, Siqiang Luo

CoRR, 2023

LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings.

Ningyi Liao, Siqiang Luo, Xiang Li, Jieming Shi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Example Searcher: A Spatial Query System via Example.

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

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

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

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

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

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

Siqiang Luo, Zichen Zhu, Xiaokui Xiao, Yin Yang, Chunbo Li, Ben Kao

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

Deep Graph Structural Infomax.

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Leveraging enterprise knowledge graph to infer web events' influences via self-supervised learning.

Peng Zhu, Dawei Cheng, Siqiang Luo, Ruyao Xu, Yuqi Liang, Yifeng Luo

J. Web Semant., 2022

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

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

Proc. VLDB Endow., 2022

Distributed PageRank computation with improved round complexities.

Siqiang Luo, Xiaowei Wu, Ben Kao

Inf. Sci., 2022

SI-News: Integrating social information for news recommendation with attention-based graph convolutional network.

Peng Zhu, Dawei Cheng, Siqiang Luo, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou

Neurocomputing, 2022

Learning-Based Approaches for Graph Problems: A Survey.

Kai Siong Yow, Siqiang Luo

CoRR, 2022

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

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Proteus: A Self-Designing Range Filter.

Eric R. Knorr, Baptiste Lemaire, Andrew Lim, Siqiang Luo, Huanchen Zhang, Stratos Idreos, Michael Mitzenmacher

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

DMCS : Density Modularity based Community Search.

Junghoon Kim, Siqiang Luo, Gao Cong, Wenyuan Yu

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Efficiently Answering k-hop Reachability Queries in Large Dynamic Graphs for Fraud Feature Extraction.

Zequan Xu, Siqiang Luo, Jieming Shi, Hui Li, Chen Lin, Qihang Sun, Shaofeng Hu

Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

Spiking Graph Convolutional Networks.

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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Finding Global Homophily in Graph Neural Networks When Meeting Heterophily.

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

Proceedings of the International Conference on Machine Learning, 2022

VC-Tune: Tuning and Exploring Distributed Vertex-Centric Graph Systems.

Zichen Zhu, Siqiang Luo, Xiaokui Xiao, Yin Yang, Dingheng Mo, Yufei Han

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Example-based Spatial Search at Scale.

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

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Multi-scale Time Based Stock Appreciation Ranking Prediction via Price Co-movement Discrimination.

Ruyao Xu, Dawei Cheng, Cen Chen, Siqiang Luo, Yifeng Luo, Weining Qian

Proceedings of the Database Systems for Advanced Applications, 2022

2021

Agenda: Robust Personalized PageRanks in Evolving Graphs.

Dingheng Mo, Siqiang Luo

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

BATON: Batch One-Hop Personalized PageRanks with Efficiency and Accuracy.

Siqiang Luo, Xiaokui Xiao, Wenqing Lin, Ben Kao

IEEE Trans. Knowl. Data Eng., 2020

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

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

IEEE Trans. Knowl. Data Eng., 2020

Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores.

Siqiang Luo, Subarna Chatterjee, Rafael Ketsetsidis, Niv Dayan, Wilson Qin, Stratos Idreos

Proceedings of the 2020 International Conference on Management of Data, 2020

Improved Communication Cost in Distributed PageRank Computation - A Theoretical Study.

Siqiang Luo

Proceedings of the 37th International Conference on Machine Learning, 2020

Fusing Global Domain Information and Local Semantic Information to Classify Financial Documents.

Mengzhen Fan, Dawei Cheng, Fangzhou Yang, Siqiang Luo, Yifeng Luo, Weining Qian, Aoying Zhou

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

On Spatial-Aware Community Search.

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

IEEE Trans. Knowl. Data Eng., 2019

Efficient Batch One-Hop Personalized PageRanks.

Siqiang Luo, Xiaokui Xiao, Wenqing Lin, Ben Kao

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

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

Siqiang Luo, Ben Kao, Xiaowei Wu, Reynold Cheng

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Distributed PageRank Computation: An Improved Theoretical Study.

Siqiang Luo

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

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

Proc. VLDB Endow., 2018

ROSC: Robust Spectral Clustering on Multi-scale Data.

Xiang Li, Ben Kao, Siqiang Luo, Martin Ester

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

2017

Effective and efficient attributed community search.

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

VLDB J., 2017

On Minimal Steiner Maximum-Connected Subgraph Queries.

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

IEEE Trans. Knowl. Data Eng., 2017

Effective Community Search over Large Spatial Graphs.

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

Proc. VLDB Endow., 2017

C-Explorer: Browsing Communities in Large Graphs.

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

Proc. VLDB Endow., 2017

SEQ: Example-based Query for Spatial Objects.

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

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

On Embedding Uncertain Graphs.

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

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Effective Community Search for Large Attributed Graphs.

Yixiang Fang, Reynold Cheng, Siqiang Luo, Jiafeng Hu

Proc. VLDB Endow., 2016

Querying Minimal Steiner Maximum-Connected Subgraphs in Large Graphs.

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

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2014

Distributed Spatial Keyword Querying on Road Networks.

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

Proceedings of the 17th International Conference on Extending Database Technology, 2014

2013

A RAMCloud Storage System based on HDFS: Architecture, implementation and evaluation.

Yifeng Luo, Siqiang Luo, Jihong Guan, Shuigeng Zhou

J. Syst. Softw., 2013

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

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

2012

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

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

Proc. VLDB Endow., 2012

Multi-operator image retargeting with automatic integration of direct and indirect seam carving.

Siqiang Luo, Junping Zhang, Qian Zhang, Xiaoru Yuan

Image Vis. Comput., 2012