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)

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)

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 (SIGMOD Conference, 2013)

A RAMCloud Storage System based on HDFS: Architecture, implementation and evaluation. - Yifeng Luo; Siqiang Luo; Jihong Guan; Shuigeng Zhou (J. Syst. Softw., 2013)

Distributed Spatial Keyword Querying on Road Networks. - Siqiang Luo; Yifeng Luo; Shuigeng Zhou; Gao Cong; Jihong Guan (EDBT, 2014)

Querying Minimal Steiner Maximum-Connected Subgraphs in Large Graphs. - Jiafeng Hu; Xiaowei Wu 001; Reynold Cheng; Siqiang Luo; Yixiang Fang (CIKM, 2016)

Effective Community Search for Large Attributed Graphs. - Yixiang Fang; Reynold Cheng; Siqiang Luo; Jiafeng Hu (Proc. VLDB Endow., 2016)

On Embedding Uncertain Graphs. - Jiafeng Hu; Reynold Cheng; Zhipeng Huang 001; Yixiang Fang; Siqiang Luo (CIKM, 2017)

SEQ: Example-based Query for Spatial Objects. - Siqiang Luo; Jiafeng Hu; Reynold Cheng; Jing Yan; Ben Kao (CIKM, 2017)

C-Explorer: Browsing Communities in Large Graphs. - Yixiang Fang; Reynold Cheng; Siqiang Luo; Jiafeng Hu; Kai Huang (Proc. VLDB Endow., 2017)

Effective Community Search over Large Spatial Graphs. - Yixiang Fang; Reynold Cheng; Xiaodong Li 009; Siqiang Luo; Jiafeng Hu (Proc. VLDB Endow., 2017)

On Minimal Steiner Maximum-Connected Subgraph Queries. - Jiafeng Hu; Xiaowei Wu 001; Reynold Cheng; Siqiang Luo; Yixiang Fang (IEEE Trans. Knowl. Data Eng., 2017)

Effective and efficient attributed community search. - Yixiang Fang; Reynold Cheng; Yankai Chen 001; Siqiang Luo; Jiafeng Hu (VLDB J., 2017)

ROSC: Robust Spectral Clustering on Multi-scale Data. - Xiang Li 067; Ben Kao; Siqiang Luo; Martin Ester (WWW, 2018)

TOAIN: A Throughput Optimizing Adaptive Index for Answering Dynamic kNN Queries on Road Networks. - Siqiang Luo; Ben Kao; Guoliang Li 001; Jiafeng Hu; Reynold Cheng; Yudian Zheng (Proc. VLDB Endow., 2018)

Distributed PageRank Computation: An Improved Theoretical Study. - Siqiang Luo (AAAI, 2019)

MPR - A Partitioning-Replication Framework for Multi-Processing kNN Search on Road Networks. - Siqiang Luo; Ben Kao; Xiaowei Wu 001; Reynold Cheng (ICDE, 2019)

Efficient Batch One-Hop Personalized PageRanks. - Siqiang Luo; Xiaokui Xiao; Wenqing Lin; Ben Kao (ICDE, 2019)

On Spatial-Aware Community Search. - Yixiang Fang; Zheng Wang; Reynold Cheng; Xiaodong Li 009; Siqiang Luo; Jiafeng Hu; Xiaojun Chen 006 (IEEE Trans. Knowl. Data Eng., 2019)

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 (CIKM, 2020)

Improved Communication Cost in Distributed PageRank Computation - A Theoretical Study. - Siqiang Luo (ICML, 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 (SIGMOD Conference, 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)

BATON: Batch One-Hop Personalized PageRanks with Efficiency and Accuracy. - Siqiang Luo; Xiaokui Xiao; Wenqing Lin; Ben Kao (IEEE Trans. Knowl. Data Eng., 2020)

Agenda: Robust Personalized PageRanks in Evolving Graphs. - Dingheng Mo; Siqiang Luo (CIKM, 2021)

Multi-scale Time Based Stock Appreciation Ranking Prediction via Price Co-movement Discrimination. - Ruyao Xu; Dawei Cheng; Cen Chen 001; Siqiang Luo; Yifeng Luo; Weining Qian (DASFAA (3), 2022)

Example-based Spatial Search at Scale. - Hanyuan Zhang; Siqiang Luo; Jieming Shi 001; Jing Nathan Yan; Weiwei Sun 008 (ICDE, 2022)

VC-Tune: Tuning and Exploring Distributed Vertex-Centric Graph Systems. - Zichen Zhu; Siqiang Luo; Xiaokui Xiao; Yin Yang 001; Dingheng Mo; Yufei Han (ICDE, 2022)

Finding Global Homophily in Graph Neural Networks When Meeting Heterophily. - Xiang Li 067; Renyu Zhu; Yao Cheng; Caihua Shan; Siqiang Luo; Dongsheng Li 002; Weining Qian (ICML, 2022)

Spiking Graph Convolutional Networks. - Zulun Zhu; Jiaying Peng; Jintang Li; Liang Chen 001; Qi Yu 001; Siqiang Luo (IJCAI, 2022)

Efficiently Answering k-hop Reachability Queries in Large Dynamic Graphs for Fraud Feature Extraction. - Zequan Xu; Siqiang Luo; Jieming Shi 001; Hui Li 057; Chen Lin 001; Qihang Sun; Shaofeng Hu (MDM, 2022)

DMCS : Density Modularity based Community Search. - Junghoon Kim 007; Siqiang Luo; Gao Cong; Wenyuan Yu (SIGMOD Conference, 2022)

Proteus: A Self-Designing Range Filter. - Eric R. Knorr; Baptiste Lemaire; Andrew Lim; Siqiang Luo; Huanchen Zhang; Stratos Idreos; Michael Mitzenmacher (SIGMOD Conference, 2022)

Seesaw Counting Filter: An Efficient Guardian for Vulnerable Negative Keys During Dynamic Filtering. - Meng Li 010; Deyi Chen; Haipeng Dai 001; Rongbiao Xie; Siqiang Luo; Rong Gu; Tong Yang 003; Guihai Chen (WWW, 2022)

Learning-Based Approaches for Graph Problems: A Survey. - Kai Siong Yow; Siqiang Luo (CoRR, 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)

Distributed PageRank computation with improved round complexities. - Siqiang Luo; Xiaowei Wu 001; Ben Kao (Inf. Sci., 2022)

SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization. - Ningyi Liao; Dingheng Mo; Siqiang Luo; Xiang Li 067; Pengcheng Yin (Proc. VLDB Endow., 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)

Deep Graph Structural Infomax. - Wenting Zhao 001; Gongping Xu; Zhen Cui 001; Siqiang Luo; Cheng Long 001; Tong Zhang 021 (AAAI, 2023)

Multi-Task Processing in Vertex-Centric Graph Systems: Evaluations and Insights. - Siqiang Luo; Zichen Zhu; Xiaokui Xiao; Yin Yang 001; Chunbo Li; Ben Kao (EDBT, 2023)

COCLEP: Contrastive Learning-based Semi-Supervised Community Search. - Ling Li; Siqiang Luo; Yuhai Zhao; Caihua Shan; Zhengkui Wang; Lu Qin 001 (ICDE, 2023)

Example Searcher: A Spatial Query System via Example. - Jun Xuan Yew; Ningyi Liao; Dingheng Mo; Siqiang Luo (ICDE, 2023)

LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings. - Ningyi Liao; Siqiang Luo; Xiang Li 067; Jieming Shi 001 (NeurIPS, 2023)

Less is More: Towards Lightweight Cost Estimator for Database Systems. - Weiping Yu; Siqiang Luo (CoRR, 2023)

SIMGA: A Simple and Effective Heterophilous Graph Neural Network with Efficient Global Aggregation. - Haoyu Liu; Ningyi Liao; Siqiang Luo (CoRR, 2023)

River of No Return: Graph Percolation Embeddings for Efficient Knowledge Graph Reasoning. - Kai Wang 057; Siqiang Luo; Dan Lin 008 (CoRR, 2023)

Label Propagation for Graph Label Noise. - Yao Cheng; Caihua Shan; Yifei Shen; Xiang Li 067; Siqiang Luo; Dongsheng Li 002 (CoRR, 2023)

Distributed Graph Embedding with Information-Oriented Random Walks. - Peng Fang 002; Arijit Khan 001; Siqiang Luo; Fang Wang 001; Dan Feng 001; Zhenli Li; Wei Yin; Yuchao Cao (Proc. VLDB Endow., 2023)

Effective and Efficient Route Planning Using Historical Trajectories on Road Networks. - Wei Tian; Jieming Shi 001; Siqiang Luo; Hui Li 057; Xike Xie; Yuanhang Zou (Proc. VLDB Endow., 2023)

Machine Learning for Subgraph Extraction: Methods, Applications and Challenges. - Kai Siong Yow; Ningyi Liao; Siqiang Luo; Reynold Cheng (Proc. VLDB Endow., 2023)

Single-Source Personalized PageRanks With Workload Robustness. - Dingheng Mo; Siqiang Luo (IEEE Trans. Knowl. Data Eng., 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, 2023)

Efficient Community Search in Edge-Attributed Graphs. - Ling Li; Yuhai Zhao; Siqiang Luo; Guoren Wang; Zhengkui Wang (IEEE Trans. Knowl. Data Eng., 2023)

Seesaw Counting Filter: A Dynamic Filtering Framework for Vulnerable Negative Keys. - Meng Li 010; Deyi Chen; Haipeng Dai 001; Rongbiao Xie; Siqiang Luo; Rong Gu; Tong Yang 003; Guihai Chen (IEEE Trans. Knowl. Data Eng., 2023)

LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs. - Kai Wang 057; Yuwei Xu 004; Zhiyong Wu; Siqiang Luo (ACL (Findings), 2024)

StructAM: Enhancing Address Matching through Semantic Understanding of Structure-aware Information. - Zhaoqi Zhang; Pasquale Balsebre; Siqiang Luo; Zhen Hai; Jiangping Huang (LREC/COLING, 2024)

Efficient Community Search in Edge-Attributed Graphs (Extended Abstract). - Ling Li; Yuhai Zhao; Siqiang Luo; Guoren Wang; Zhengkui Wang (ICDE, 2024)

Personalized PageRanks over Dynamic Graphs - The Case for Optimizing Quality of Service. - Zulun Zhu; Siqiang Luo; Wenqing Lin; Sibo Wang 001; Dingheng Mo; Chunbo Li (ICDE, 2024)

Massively Parallel Single-Source SimRanks in O(log N) Rounds. - Siqiang Luo; Zulun Zhu (IJCAI, 2024)

Resurrecting Label Propagation for Graphs with Heterophily and Label Noise. - Yao Cheng; Caihua Shan; Yifei Shen; Xiang Li 067; Siqiang Luo; Dongsheng Li 002 (KDD, 2024)

Topology-monitorable Contrastive Learning on Dynamic Graphs. - Zulun Zhu; Kai Wang 057; Haoyu Liu; Jintang Li; Siqiang Luo (KDD, 2024)

Towards Learning from Graphs with Heterophily: Progress and Future. - Chenghua Gong; Yao Cheng; Jianxiang Yu 001; Can Xu; Caihua Shan; Siqiang Luo; Xiang Li 067 (CoRR, 2024)

Unifews: Unified Entry-Wise Sparsification for Efficient Graph Neural Network. - Ningyi Liao; Zihao Yu; 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)

Towards Graph Foundation Models: The Perspective of Zero-shot Reasoning on Knowledge Graphs. - Kai Wang 057; Siqiang Luo (CoRR, 2024)

DHIL-GT: Scalable Graph Transformer with Decoupled Hierarchy Labeling. - Ningyi Liao; Zihao Yu; Siqiang Luo (CoRR, 2024)

Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in a Colossal Configuration Space. - Junfeng Liu 001; Fan Wang 022; Dingheng Mo; Siqiang Luo (Proc. ACM Manag. Data, 2024)

Oasis: An Optimal Disjoint Segmented Learned Range Filter. - Guanduo Chen; Meng Li 010; Siqiang Luo; Zhenying He (Proc. VLDB Endow., 2024)

BIRD: Efficient Approximation of Bidirectional Hidden Personalized PageRank. - Haoyu Liu; Siqiang Luo (Proc. VLDB Endow., 2024)

GENTI: GPU-powered Walk-based Subgraph Extraction for Scalable Representation Learning on Dynamic Graphs. - Zihao Yu; Ningyi Liao; Siqiang Luo (Proc. VLDB Endow., 2024)

Scalable decoupling graph neural network with feature-oriented optimization. - Ningyi Liao; Dingheng Mo; Siqiang Luo; Xiang Li 067; Pengcheng Yin (VLDB J., 2024)

TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph Reasoning. - Kai Wang 057; Yuwei Xu 004; Siqiang Luo (Proc. VLDB Endow., 2024)

CAMAL: Optimizing LSM-trees via Active Learning. - Weiping Yu; Siqiang Luo; Zihao Yu; Gao Cong (Proc. ACM Manag. Data, 2024)

Are Joins over LSM-trees Ready: Take RocksDB as an Example. - Weiping Yu; Fan Wang 022; Xuwei Zhang; Siqiang Luo (Proc. VLDB Endow., 2024)

Finding Near-Optimal Maximum Set of Disjoint $k$-Cliques in Real-World Social Networks. - Xin Chen 077; Wenqing Lin; Haoxuan Xie; Sibo Wang 001; Siqiang Luo (ICDE, 2025)

OMeGa: Boosting Large-scale Graph Embeddings with Heterogeneous Memory Processing. - Peng Fang 002; Siqiang Luo; Fang Wang 001; Bolong Zheng; Hong Jiang 001; Dan Feng 001; Hechang Pan; Xingyu Wan (ICDE, 2025)

SIGMA: An Efficient Heterophilous Graph Neural Network with Fast Global Aggregation. - Haoyu Liu; Ningyi Liao; Siqiang Luo (ICDE, 2025)

Advances in Designing Scalable Graph Neural Networks: The Perspective of Graph Data Management. - Ningyi Liao; Siqiang Luo; Xiaokui Xiao; Reynold Cheng (SIGMOD Conference Companion, 2025)

Information-Oriented Random Walks and Pipeline Optimization for Distributed Graph Embedding. - Peng Fang 002; Zhenli Li; Arijit Khan 001; Siqiang Luo; Fang Wang 001; Zhan Shi 001; Dan Feng 001 (IEEE Trans. Knowl. Data Eng., 2025)

VEGA: An Active-tuning Learned Index with Group-Wise Learning Granularity. - Meng Li 010; Huayi Chai; Siqiang Luo; Haipeng Dai 001; Rong Gu; Jiaqi Zheng 001; Guihai Chen (Proc. ACM Manag. Data, 2025)

Aster: Enhancing LSM-structures for Scalable Graph Database. - Dingheng Mo; Junfeng Liu 001; Fan Wang 022; Siqiang Luo (Proc. ACM Manag. Data, 2025)

Finding Near-Optimal Maximum Set of Disjoint k-Cliques in Real-World Social Networks. - Wenqing Lin; Xin Chen 077; Haoxuan Xie; Sibo Wang 001; Siqiang Luo (CoRR, 2025)

Graph Percolation Embeddings for Efficient Knowledge Graph Inductive Reasoning. - Kai Wang 057; Dan Lin 008; Siqiang Luo (IEEE Trans. Knowl. Data Eng., 2025)

Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey. - Zulun Zhu; Tiancheng Huang; Kai Wang 057; Junda Ye; Xinghe Chen; Siqiang Luo (CoRR, 2025)

RAGDoll: Efficient Offloading-based Online RAG System on a Single GPU. - Weiping Yu; Ningyi Liao; Siqiang Luo; Junfeng Liu 001 (CoRR, 2025)

LSM-VEC: A Large-Scale Disk-Based System for Dynamic Vector Search. - Shurui Zhong; Dingheng Mo; Siqiang Luo (CoRR, 2025)

Evaluating Learned Indexes in LSM-tree Systems: Benchmarks,Insights and Design Choices. - Junfeng Liu 001; Jiarui Ye; Mengshi Chen; Meng Li 010; Siqiang Luo (CoRR, 2025)

How to Grow an LSM-tree? Towards Bridging the Gap Between Theory and Practice. - Dingheng Mo; Siqiang Luo; Stratos Idreos (Proc. ACM Manag. Data, 2025)

Tighter Lower Bounds for Single Source Personalized PageRank. - Xinpeng Jiang; Haoyu Liu; Siqiang Luo; Xiaokui Xiao (CoRR, 2025)

[Technical Report] ArceKV: Towards Workload-driven LSM-compactions for Key-Value Store Under Dynamic Workloads. - Junfeng Liu 001; Haoxuan Xie; Siqiang Luo (CoRR, 2025)

When Deepfake Detection Meets Graph Neural Network:a Unified and Lightweight Learning Framework. - Haoyu Liu; Chaoyu Gong; Mengke He; Jiate Li; Kai Han; Siqiang Luo (CoRR, 2025)

SEQ-GPT: LLM-assisted Spatial Query via Example. - Ivan Khai Ze Lim; Ningyi Liao; Yiming Yang; Gerald Wei Yong Yip; Siqiang Luo (CoRR, 2025)