Siqiang Luo

124 papers A* 23A 5B 5Journal 81Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
A survey on learning from graphs with heterophily: recent advances and future directions.
Frontiers Comput. Sci.
Cheng-Hua Gong, Yao Cheng, Jian-Xiang Yu, Can Xu, Cai-Hua Shan, Siqiang Luo, Xiang Li
2026 B conf
AdCache: Adaptive Cache Management with Admission Control for LSM-tree Key-Value Stores.
EDBT
Jiarui Ye, Junfeng Liu, Siqiang Luo
2026 J jnl
ArceKV: Towards Workload-driven LSM-compactions for Key-Value Store Under Dynamic Workloads.
Proc. VLDB Endow.
Junfeng Liu, Haoxuan Xie, Siqiang Luo
2026 J jnl
Coden: Efficient Temporal Graph Neural Networks for Continuous Prediction.
CoRR
Zulun Zhu, Siqiang Luo
2026 B conf
Evaluating Learned Indexes in LSM-tree Systems: Benchmarks, Insights and Design Choices.
EDBT
Junfeng Liu, Jiarui Ye, Mengshi Chen, Meng Li, Siqiang Luo
2026 J jnl
Modality-free Graph In-context Alignment.
CoRR
Wei Zhuo, Siqiang Luo
2026 J jnl
RadixGraph: A Fast, Space-Optimized Data Structure for Dynamic Graph Storage (Extended Version).
CoRR
Haoxuan Xie, Junfeng Liu, Siqiang Luo, Kai Wang
2026 J jnl
UrbanMFM: Spatial Graph-Based Multiscale Foundation Models for Learning Generalized Urban Representation.
IEEE Trans. Knowl. Data Eng.
Zhaoqi Zhang, Miao Xie, Pasquale Balsebre, Weiming Huang, Siqiang Luo, Gao Cong
2026 J jnl
VectorMaton: Efficient Vector Search with Pattern Constraints via an Enhanced Suffix Automaton.
CoRR
Haoxuan Xie, Siqiang Luo
2026 — conf
When Deepfake Detection Meets Graph Neural Network: A Unified and Lightweight Framework.
KDD (1)
Haoyu Liu, Chaoyu Gong, Mengke He, Jiate Li, Kai Han, Siqiang Luo
2025 J jnl
A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness.
Proc. ACM Manag. Data
Ningyi Liao, Haoyu Liu, Zulun Zhu, Siqiang Luo, Laks V. S. Lakshmanan
2025 — conf
Advances in Designing Scalable Graph Neural Networks: The Perspective of Graph Data Management.
SIGMOD Conference Companion
Ningyi Liao, Siqiang Luo, Xiaokui Xiao, Reynold Cheng
2025 J jnl
Are Joins over LSM-trees Ready: Take RocksDB as an Example.
CoRR
Weiping Yu, Fan Wang, Xuwei Zhang, Siqiang Luo
2025 J jnl
Aster: Enhancing LSM-structures for Scalable Graph Database.
CoRR
Dingheng Mo, Junfeng Liu, Fan Wang, Siqiang Luo
2025 J jnl
Aster: Enhancing LSM-structures for Scalable Graph Database.
Proc. ACM Manag. Data
Dingheng Mo, Junfeng Liu, Fan Wang, Siqiang Luo
2025 J jnl
Don't Forget Range Delete! Enhancing LSM-based Key-Value Stores with More Compatible Lookups and Deletes.
CoRR
Fan Wang, Dingheng Mo, Siqiang Luo
2025 J jnl
Evaluating Learned Indexes in LSM-tree Systems: Benchmarks,Insights and Design Choices.
CoRR
Junfeng Liu, Jiarui Ye, Mengshi Chen, Meng Li, Siqiang Luo
2025 J jnl
Finding Near-Optimal Maximum Set of Disjoint
CoRR
Wenqing Lin, Xin Chen, Haoxuan Xie, Sibo Wang, Siqiang Luo
2025 A* conf
Finding Near-Optimal Maximum Set of Disjoint $k$-Cliques in Real-World Social Networks.
ICDE
Xin Chen, Wenqing Lin, Haoxuan Xie, Sibo Wang, Siqiang Luo
2025 J jnl
Graph Percolation Embeddings for Efficient Knowledge Graph Inductive Reasoning.
IEEE Trans. Knowl. Data Eng.
Kai Wang, Dan Lin, Siqiang Luo
2025 J jnl
Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey.
CoRR
Zulun Zhu, Tiancheng Huang, Kai Wang, Junda Ye, Xinghe Chen, Siqiang Luo
2025 J jnl
How to Grow an LSM-tree? Towards Bridging the Gap Between Theory and Practice.
CoRR
Dingheng Mo, Siqiang Luo, Stratos Idreos
2025 J jnl
How to Grow an LSM-tree? Towards Bridging the Gap Between Theory and Practice.
Proc. ACM Manag. Data
Dingheng Mo, Siqiang Luo, Stratos Idreos
2025 J jnl
Information-Oriented Random Walks and Pipeline Optimization for Distributed Graph Embedding.
IEEE Trans. Knowl. Data Eng.
Peng Fang, Zhenli Li, Arijit Khan, Siqiang Luo, Fang Wang, Zhan Shi, Dan Feng
2025 J jnl
LSM-VEC: A Large-Scale Disk-Based System for Dynamic Vector Search.
CoRR
Shurui Zhong, Dingheng Mo, Siqiang Luo
2025 J jnl
MoSE: Unveiling Structural Patterns in Graphs via Mixture of Subgraph Experts.
CoRR
Junda Ye, Zhongbao Zhang, Li Sun, Siqiang Luo
2025 A* conf
OMeGa: Boosting Large-scale Graph Embeddings with Heterogeneous Memory Processing.
ICDE
Peng Fang, Siqiang Luo, Fang Wang, Bolong Zheng, Hong Jiang, Dan Feng, Hechang Pan, Xingyu Wan
2025 J jnl
On 10x Better Scalability: KV Stores Scale Up KV Cache.
CoRR
Weiping Yu, Ye Jiarui, He Mengke, Junfeng Liu, Siqiang Luo
2025 — conf
Permitted Knowledge Boundary: Evaluating the Knowledge-Constrained Responsiveness of Large Language Models.
EMNLP (Findings)
Wenrui Bao, Kai Wang, Siqiang Luo, Xiang Li
2025 J jnl
RAGDoll: Efficient Offloading-based Online RAG System on a Single GPU.
CoRR
Weiping Yu, Ningyi Liao, Siqiang Luo, Junfeng Liu
2025 J jnl
Right Answer at the Right Time - Temporal Retrieval-Augmented Generation via Graph Summarization.
CoRR
Zulun Zhu, Haoyu Liu, Mengke He, Siqiang Luo
2025 J jnl
SEQ-GPT: LLM-assisted Spatial Query via Example.
CoRR
Ivan Khai Ze Lim, Ningyi Liao, Yiming Yang, Gerald Wei Yong Yip, Siqiang Luo
2025 A* conf
SIGMA: An Efficient Heterophilous Graph Neural Network with Fast Global Aggregation.
ICDE
Haoyu Liu, Ningyi Liao, Siqiang Luo
2025 J jnl
Tighter Lower Bounds for Single Source Personalized PageRank.
CoRR
Xinpeng Jiang, Haoyu Liu, Siqiang Luo, Xiaokui Xiao
2025 A* conf
Unifews: You Need Fewer Operations for Efficient Graph Neural Networks.
ICML
Ningyi Liao, Zihao Yu, Ruixiao Zeng, Siqiang Luo
2025 J jnl
VEGA: An Active-tuning Learned Index with Group-Wise Learning Granularity.
Proc. ACM Manag. Data
Meng Li, Huayi Chai, Siqiang Luo, Haipeng Dai, Rong Gu, Jiaqi Zheng, Guihai Chen
2025 J jnl
When Deepfake Detection Meets Graph Neural Network:a Unified and Lightweight Learning Framework.
CoRR
Haoyu Liu, Chaoyu Gong, Mengke He, Jiate Li, Kai Han, Siqiang Luo
2025 J jnl
[Technical Report] ArceKV: Towards Workload-driven LSM-compactions for Key-Value Store Under Dynamic Workloads.
CoRR
Junfeng Liu, Haoxuan Xie, Siqiang Luo
2024 J jnl
Are Joins over LSM-trees Ready: Take RocksDB as an Example.
Proc. VLDB Endow.
Weiping Yu, Fan Wang, Xuwei Zhang, Siqiang Luo
2024 J jnl
BIRD: Efficient Approximation of Bidirectional Hidden Personalized PageRank.
Proc. VLDB Endow.
Haoyu Liu, Siqiang Luo
2024 J jnl
Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency.
CoRR
Ningyi Liao, Haoyu Liu, Zulun Zhu, Siqiang Luo, Laks V. S. Lakshmanan
2024 J jnl
CAMAL: Optimizing LSM-trees via Active Learning.
CoRR
Weiping Yu, Siqiang Luo, Zihao Yu, Gao Cong
2024 J jnl
CAMAL: Optimizing LSM-trees via Active Learning.
Proc. ACM Manag. Data
Weiping Yu, Siqiang Luo, Zihao Yu, Gao Cong
2024 J jnl
DHIL-GT: Scalable Graph Transformer with Decoupled Hierarchy Labeling.
CoRR
Ningyi Liao, Zihao Yu, Siqiang Luo
2024 A* conf
Efficient Community Search in Edge-Attributed Graphs (Extended Abstract).
ICDE
Ling Li, Yuhai Zhao, Siqiang Luo, Guoren Wang, Zhengkui Wang
2024 J jnl
GENTI: GPU-powered Walk-based Subgraph Extraction for Scalable Representation Learning on Dynamic Graphs.
Proc. VLDB Endow.
Zihao Yu, Ningyi Liao, Siqiang Luo
2024 — conf
LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs.
ACL (Findings)
Kai Wang, Yuwei Xu, Zhiyong Wu, Siqiang Luo
2024 J jnl
LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs.
CoRR
Kai Wang, Yuwei Xu, Zhiyong Wu, Siqiang Luo
2024 A* conf
Massively Parallel Single-Source SimRanks in O(log N) Rounds.
IJCAI
Siqiang Luo, Zulun Zhu
2024 J jnl
Oasis: An Optimal Disjoint Segmented Learned Range Filter.
Proc. VLDB Endow.
Guanduo Chen, Meng Li, Siqiang Luo, Zhenying He
2024 A* conf
Personalized PageRanks over Dynamic Graphs - The Case for Optimizing Quality of Service.
ICDE
Zulun Zhu, Siqiang Luo, Wenqing Lin, Sibo Wang, Dingheng Mo, Chunbo Li
2024 A* conf
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise.
KDD
Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li
2024 J jnl
Scalable decoupling graph neural network with feature-oriented optimization.
VLDB J.
Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin
2024 — conf
StructAM: Enhancing Address Matching through Semantic Understanding of Structure-aware Information.
LREC/COLING
Zhaoqi Zhang, Pasquale Balsebre, Siqiang Luo, Zhen Hai, Jiangping Huang
2024 J jnl
Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in a Colossal Configuration Space.
Proc. ACM Manag. Data
Junfeng Liu, Fan Wang, Dingheng Mo, Siqiang Luo
2024 J jnl
TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph Reasoning.
Proc. VLDB Endow.
Kai Wang, Yuwei Xu, Siqiang Luo
2024 A* conf
Topology-monitorable Contrastive Learning on Dynamic Graphs.
KDD
Zulun Zhu, Kai Wang, Haoyu Liu, Jintang Li, Siqiang Luo
2024 J jnl
Towards Graph Foundation Models: The Perspective of Zero-shot Reasoning on Knowledge Graphs.
CoRR
Kai Wang, Siqiang Luo
2024 J jnl
Towards Learning from Graphs with Heterophily: Progress and Future.
CoRR
Chenghua Gong, Yao Cheng, Jianxiang Yu, Can Xu, Caihua Shan, Siqiang Luo, Xiang Li
2024 J jnl
Unifews: Unified Entry-Wise Sparsification for Efficient Graph Neural Network.
CoRR
Ningyi Liao, Zihao Yu, Siqiang Luo
2023 A* conf
COCLEP: Contrastive Learning-based Semi-Supervised Community Search.
ICDE
Ling Li, Siqiang Luo, Yuhai Zhao, Caihua Shan, Zhengkui Wang, Lu Qin
2023 A* conf
Deep Graph Structural Infomax.
AAAI
Wenting Zhao, Gongping Xu, Zhen Cui, Siqiang Luo, Cheng Long, Tong Zhang
2023 J jnl
Distributed Graph Embedding with Information-Oriented Random Walks.
CoRR
Peng Fang, Arijit Khan, Siqiang Luo, Fang Wang, Dan Feng, Zhenli Li, Wei Yin, Yuchao Cao
2023 J jnl
Distributed Graph Embedding with Information-Oriented Random Walks.
Proc. VLDB Endow.
Peng Fang, Arijit Khan, Siqiang Luo, Fang Wang, Dan Feng, Zhenli Li, Wei Yin, Yuchao Cao
2023 J jnl
Effective and Efficient Route Planning Using Historical Trajectories on Road Networks.
Proc. VLDB Endow.
Wei Tian, Jieming Shi, Siqiang Luo, Hui Li, Xike Xie, Yuanhang Zou
2023 J jnl
Efficient Community Search in Edge-Attributed Graphs.
IEEE Trans. Knowl. Data Eng.
Ling Li, Yuhai Zhao, Siqiang Luo, Guoren Wang, Zhengkui Wang
2023 A* conf
Example Searcher: A Spatial Query System via Example.
ICDE
Jun Xuan Yew, Ningyi Liao, Dingheng Mo, Siqiang Luo
2023 A* conf
LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings.
NeurIPS
Ningyi Liao, Siqiang Luo, Xiang Li, Jieming Shi
2023 J jnl
Label Propagation for Graph Label Noise.
CoRR
Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li
2023 J jnl
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads.
CoRR
Dingheng Mo, Fanchao Chen, Siqiang Luo, Caihua Shan
2023 J jnl
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads.
Proc. ACM Manag. Data
Dingheng Mo, Fanchao Chen, Siqiang Luo, Caihua Shan
2023 J jnl
Less is More: Towards Lightweight Cost Estimator for Database Systems.
CoRR
Weiping Yu, Siqiang Luo
2023 J jnl
Machine Learning for Subgraph Extraction: Methods, Applications and Challenges.
Proc. VLDB Endow.
Kai Siong Yow, Ningyi Liao, Siqiang Luo, Reynold Cheng
2023 J jnl
Massively Parallel Single-Source SimRanks in o(log n) Rounds.
CoRR
Siqiang Luo, Zulun Zhu
2023 B conf
Multi-Task Processing in Vertex-Centric Graph Systems: Evaluations and Insights.
EDBT
Siqiang Luo, Zichen Zhu, Xiaokui Xiao, Yin Yang, Chunbo Li, Ben Kao
2023 J jnl
River of No Return: Graph Percolation Embeddings for Efficient Knowledge Graph Reasoning.
CoRR
Kai Wang, Siqiang Luo, Dan Lin
2023 J jnl
SIMGA: A Simple and Effective Heterophilous Graph Neural Network with Efficient Global Aggregation.
CoRR
Haoyu Liu, Ningyi Liao, Siqiang Luo
2023 J jnl
Seesaw Counting Filter: A Dynamic Filtering Framework for Vulnerable Negative Keys.
IEEE Trans. Knowl. Data Eng.
Meng Li, Deyi Chen, Haipeng Dai, Rongbiao Xie, Siqiang Luo, Rong Gu, Tong Yang, Guihai Chen
2023 J jnl
Single-Source Personalized PageRanks With Workload Robustness.
IEEE Trans. Knowl. Data Eng.
Dingheng Mo, Siqiang Luo
2022 — conf
DMCS : Density Modularity based Community Search.
SIGMOD Conference
Junghoon Kim, Siqiang Luo, Gao Cong, Wenyuan Yu
2022 J jnl
DMCS : Density Modularity based Community Search.
CoRR
Junghoon Kim, Siqiang Luo, Gao Cong, Wenyuan Yu
2022 J jnl
Distributed PageRank computation with improved round complexities.
Inf. Sci.
Siqiang Luo, Xiaowei Wu, Ben Kao
2022 B conf
Efficiently Answering k-hop Reachability Queries in Large Dynamic Graphs for Fraud Feature Extraction.
MDM
Zequan Xu, Siqiang Luo, Jieming Shi, Hui Li, Chen Lin, Qihang Sun, Shaofeng Hu
2022 A* conf
Example-based Spatial Search at Scale.
ICDE
Hanyuan Zhang, Siqiang Luo, Jieming Shi, Jing Nathan Yan, Weiwei Sun
2022 A* conf
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily.
ICML
Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
2022 J jnl
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily.
CoRR
Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
2022 J jnl
Learning-Based Approaches for Graph Problems: A Survey.
CoRR
Kai Siong Yow, Siqiang Luo
2022 J jnl
Leveraging enterprise knowledge graph to infer web events' influences via self-supervised learning.
J. Web Semant.
Peng Zhu, Dawei Cheng, Siqiang Luo, Ruyao Xu, Yuqi Liang, Yifeng Luo
2022 — conf
Multi-scale Time Based Stock Appreciation Ranking Prediction via Price Co-movement Discrimination.
DASFAA (3)
Ruyao Xu, Dawei Cheng, Cen Chen, Siqiang Luo, Yifeng Luo, Weining Qian
2022 — conf
Proteus: A Self-Designing Range Filter.
SIGMOD Conference
Eric R. Knorr, Baptiste Lemaire, Andrew Lim, Siqiang Luo, Huanchen Zhang, Stratos Idreos, Michael Mitzenmacher
2022 J jnl
Proteus: A Self-Designing Range Filter.
CoRR
Eric R. Knorr, Baptiste Lemaire, Andrew Lim, Siqiang Luo, Huanchen Zhang, Stratos Idreos, Michael Mitzenmacher
2022 J jnl
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization.
CoRR
Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin
2022 J jnl
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization.
Proc. VLDB Endow.
Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin
2022 J jnl
SI-News: Integrating social information for news recommendation with attention-based graph convolutional network.
Neurocomputing
Peng Zhu, Dawei Cheng, Siqiang Luo, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou
2022 A* conf
Seesaw Counting Filter: An Efficient Guardian for Vulnerable Negative Keys During Dynamic Filtering.
WWW
Meng Li, Deyi Chen, Haipeng Dai, Rongbiao Xie, Siqiang Luo, Rong Gu, Tong Yang, Guihai Chen
2022 A* conf
Spiking Graph Convolutional Networks.
IJCAI
Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, Siqiang Luo
2022 J jnl
Spiking Graph Convolutional Networks.
CoRR
Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, Siqiang Luo
2022 A* conf
VC-Tune: Tuning and Exploring Distributed Vertex-Centric Graph Systems.
ICDE
Zichen Zhu, Siqiang Luo, Xiaokui Xiao, Yin Yang, Dingheng Mo, Yufei Han
2021 A conf
Agenda: Robust Personalized PageRanks in Evolving Graphs.
CIKM
Dingheng Mo, Siqiang Luo
2020 J jnl
BATON: Batch One-Hop Personalized PageRanks with Efficiency and Accuracy.
IEEE Trans. Knowl. Data Eng.
Siqiang Luo, Xiaokui Xiao, Wenqing Lin, Ben Kao
2020 A conf
Fusing Global Domain Information and Local Semantic Information to Classify Financial Documents.
CIKM
Mengzhen Fan, Dawei Cheng, Fangzhou Yang, Siqiang Luo, Yifeng Luo, Weining Qian, Aoying Zhou
2020 A* conf
Improved Communication Cost in Distributed PageRank Computation - A Theoretical Study.
ICML
Siqiang Luo
2020 J jnl
ROAM: A Fundamental Routing Query on Road Networks with Efficiency.
IEEE Trans. Knowl. Data Eng.
Siqiang Luo, Reynold Cheng, Ben Kao, Xiaokui Xiao, Shuigeng Zhou, Jiafeng Hu
2020 — conf
Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores.
SIGMOD Conference
Siqiang Luo, Subarna Chatterjee, Rafael Ketsetsidis, Niv Dayan, Wilson Qin, Stratos Idreos
2019 A* conf
Distributed PageRank Computation: An Improved Theoretical Study.
AAAI
Siqiang Luo
2019 A* conf
Efficient Batch One-Hop Personalized PageRanks.
ICDE
Siqiang Luo, Xiaokui Xiao, Wenqing Lin, Ben Kao
2019 A* conf
MPR - A Partitioning-Replication Framework for Multi-Processing kNN Search on Road Networks.
ICDE
Siqiang Luo, Ben Kao, Xiaowei Wu, Reynold Cheng
2019 J jnl
On Spatial-Aware Community Search.
IEEE Trans. Knowl. Data Eng.
Yixiang Fang, Zheng Wang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu, Xiaojun Chen
2018 A* conf
ROSC: Robust Spectral Clustering on Multi-scale Data.
WWW
Xiang Li, Ben Kao, Siqiang Luo, Martin Ester
2018 J jnl
TOAIN: A Throughput Optimizing Adaptive Index for Answering Dynamic kNN Queries on Road Networks.
Proc. VLDB Endow.
Siqiang Luo, Ben Kao, Guoliang Li, Jiafeng Hu, Reynold Cheng, Yudian Zheng
2017 J jnl
C-Explorer: Browsing Communities in Large Graphs.
Proc. VLDB Endow.
Yixiang Fang, Reynold Cheng, Siqiang Luo, Jiafeng Hu, Kai Huang
2017 J jnl
Effective Community Search over Large Spatial Graphs.
Proc. VLDB Endow.
Yixiang Fang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu
2017 J jnl
Effective and efficient attributed community search.
VLDB J.
Yixiang Fang, Reynold Cheng, Yankai Chen, Siqiang Luo, Jiafeng Hu
2017 A conf
On Embedding Uncertain Graphs.
CIKM
Jiafeng Hu, Reynold Cheng, Zhipeng Huang, Yixiang Fang, Siqiang Luo
2017 J jnl
On Minimal Steiner Maximum-Connected Subgraph Queries.
IEEE Trans. Knowl. Data Eng.
Jiafeng Hu, Xiaowei Wu, Reynold Cheng, Siqiang Luo, Yixiang Fang
2017 A conf
SEQ: Example-based Query for Spatial Objects.
CIKM
Siqiang Luo, Jiafeng Hu, Reynold Cheng, Jing Yan, Ben Kao
2016 J jnl
Effective Community Search for Large Attributed Graphs.
Proc. VLDB Endow.
Yixiang Fang, Reynold Cheng, Siqiang Luo, Jiafeng Hu
2016 A conf
Querying Minimal Steiner Maximum-Connected Subgraphs in Large Graphs.
CIKM
Jiafeng Hu, Xiaowei Wu, Reynold Cheng, Siqiang Luo, Yixiang Fang
2014 B conf
Distributed Spatial Keyword Querying on Road Networks.
EDBT
Siqiang Luo, Yifeng Luo, Shuigeng Zhou, Gao Cong, Jihong Guan
2013 J jnl
A RAMCloud Storage System based on HDFS: Architecture, implementation and evaluation.
J. Syst. Softw.
Yifeng Luo, Siqiang Luo, Jihong Guan, Shuigeng Zhou
2013 J jnl
Shortest Path and Distance Queries on Road Networks: Towards Bridging Theory and Practice
CoRR
Andy Diwen Zhu, Hui Ma, Xiaokui Xiao, Siqiang Luo, Youze Tang, Shuigeng Zhou
2013 — conf
Shortest path and distance queries on road networks: towards bridging theory and practice.
SIGMOD Conference
Andy Diwen Zhu, Hui Ma, Xiaokui Xiao, Siqiang Luo, Youze Tang, Shuigeng Zhou
2012 J jnl
DISKs: A System for Distributed Spatial Group Keyword Search on Road Networks.
Proc. VLDB Endow.
Siqiang Luo, Yifeng Luo, Shuigeng Zhou, Gao Cong, Jihong Guan
2012 J jnl
Multi-operator image retargeting with automatic integration of direct and indirect seam carving.
Image Vis. Comput.
Siqiang Luo, Junping Zhang, Qian Zhang, Xiaoru Yuan