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Siqiang Luo
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2020 – today
- 2024
- [j29]Junfeng Liu, Fan Wang, Dingheng Mo, Siqiang Luo:
Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in a Colossal Configuration Space. Proc. ACM Manag. Data 2(3): 175 (2024) - [j28]Guanduo Chen, Meng Li, Siqiang Luo, Zhenying He:
Oasis: An Optimal Disjoint Segmented Learned Range Filter. Proc. VLDB Endow. 17(8): 1911-1924 (2024) - [j27]Haoyu Liu, Siqiang Luo:
BIRD: Efficient Approximation of Bidirectional Hidden Personalized PageRank. Proc. VLDB Endow. 17(9): 2255-2268 (2024) - [j26]Zihao Yu, Ningyi Liao, Siqiang Luo:
GENTI: GPU-powered Walk-based Subgraph Extraction for Scalable Representation Learning on Dynamic Graphs. Proc. VLDB Endow. 17(9): 2269-2278 (2024) - [j25]Kai Wang, Yuwei Xu, Siqiang Luo:
TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph Reasoning. Proc. VLDB Endow. 17(10): 2459-2472 (2024) - [j24]Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin:
Scalable decoupling graph neural network with feature-oriented optimization. VLDB J. 33(3): 667-683 (2024) - [c33]Kai Wang, Yuwei Xu, Zhiyong Wu, Siqiang Luo:
LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs. ACL (Findings) 2024: 3742-3759 - [c32]Zhaoqi Zhang, Pasquale Balsebre, Siqiang Luo, Zhen Hai, Jiangping Huang:
StructAM: Enhancing Address Matching through Semantic Understanding of Structure-aware Information. LREC/COLING 2024: 15350-15361 - [c31]Zulun Zhu, Siqiang Luo, Wenqing Lin, Sibo Wang, Dingheng Mo, Chunbo Li:
Personalized PageRanks over Dynamic Graphs - The Case for Optimizing Quality of Service. ICDE 2024: 409-422 - [c30]Ling Li, Yuhai Zhao, Siqiang Luo, Guoren Wang, Zhengkui Wang:
Efficient Community Search in Edge-Attributed Graphs (Extended Abstract). ICDE 2024: 5731-5732 - [c29]Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li:
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise. KDD 2024: 433-444 - [c28]Zulun Zhu, Kai Wang, Haoyu Liu, Jintang Li, Siqiang Luo:
Topology-monitorable Contrastive Learning on Dynamic Graphs. KDD 2024: 4700-4711 - [i18]Chenghua Gong, Yao Cheng, Xiang Li, Caihua Shan, Siqiang Luo, Chuan Shi:
Towards Learning from Graphs with Heterophily: Progress and Future. CoRR abs/2401.09769 (2024) - [i17]Kai Wang, Yuwei Xu, Zhiyong Wu, Siqiang Luo:
LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs. CoRR abs/2402.11804 (2024) - [i16]Ningyi Liao, Zihao Yu, Siqiang Luo:
Unifews: Unified Entry-Wise Sparsification for Efficient Graph Neural Network. CoRR abs/2403.13268 (2024) - [i15]Ningyi Liao, Haoyu Liu, Zulun Zhu, Siqiang Luo, Laks V. S. Lakshmanan:
Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency. CoRR abs/2406.09675 (2024) - 2023
- [j23]Dingheng Mo, Fanchao Chen, Siqiang Luo, Caihua Shan:
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads. Proc. ACM Manag. Data 1(3): 213:1-213:25 (2023) - [j22]Peng Fang, Arijit Khan, Siqiang Luo, Fang Wang, Dan Feng, Zhenli Li, Wei Yin, Yuchao Cao:
Distributed Graph Embedding with Information-Oriented Random Walks. Proc. VLDB Endow. 16(7): 1643-1656 (2023) - [j21]Wei Tian, Jieming Shi, Siqiang Luo, Hui Li, Xike Xie, Yuanhang Zou:
Effective and Efficient Route Planning Using Historical Trajectories on Road Networks. Proc. VLDB Endow. 16(10): 2512-2524 (2023) - [j20]Kai Siong Yow, Ningyi Liao, Siqiang Luo, Reynold Cheng:
Machine Learning for Subgraph Extraction: Methods, Applications and Challenges. Proc. VLDB Endow. 16(12): 3864-3867 (2023) - [j19]Dingheng Mo, Siqiang Luo:
Single-Source Personalized PageRanks With Workload Robustness. IEEE Trans. Knowl. Data Eng. 35(6): 6320-6334 (2023) - [j18]Ling Li, Yuhai Zhao, Siqiang Luo, Guoren Wang, Zhengkui Wang:
Efficient Community Search in Edge-Attributed Graphs. IEEE Trans. Knowl. Data Eng. 35(10): 10790-10806 (2023) - [j17]Meng Li, Deyi Chen, Haipeng Dai, Rongbiao Xie, Siqiang Luo, Rong Gu, Tong Yang, Guihai Chen:
Seesaw Counting Filter: A Dynamic Filtering Framework for Vulnerable Negative Keys. IEEE Trans. Knowl. Data Eng. 35(12): 12987-13001 (2023) - [c27]Wenting Zhao, Gongping Xu, Zhen Cui, Siqiang Luo, Cheng Long, Tong Zhang:
Deep Graph Structural Infomax. AAAI 2023: 4920-4928 - [c26]Siqiang Luo, Zichen Zhu, Xiaokui Xiao, Yin Yang, Chunbo Li, Ben Kao:
Multi-Task Processing in Vertex-Centric Graph Systems: Evaluations and Insights. EDBT 2023: 247-259 - [c25]Ling Li, Siqiang Luo, Yuhai Zhao, Caihua Shan, Zhengkui Wang, Lu Qin:
COCLEP: Contrastive Learning-based Semi-Supervised Community Search. ICDE 2023: 2483-2495 - [c24]Jun Xuan Yew, Ningyi Liao, Dingheng Mo, Siqiang Luo:
Example Searcher: A Spatial Query System via Example. ICDE 2023: 3635-3638 - [c23]Ningyi Liao, Siqiang Luo, Xiang Li, Jieming Shi:
LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings. NeurIPS 2023 - [i14]Weiping Yu, Siqiang Luo:
Less is More: Towards Lightweight Cost Estimator for Database Systems. CoRR abs/2303.10983 (2023) - [i13]Peng Fang, Arijit Khan, Siqiang Luo, Fang Wang, Dan Feng, Zhenli Li, Wei Yin, Yuchao Cao:
Distributed Graph Embedding with Information-Oriented Random Walks. CoRR abs/2303.15702 (2023) - [i12]Siqiang Luo, Zulun Zhu:
Massively Parallel Single-Source SimRanks in o(log n) Rounds. CoRR abs/2304.04015 (2023) - [i11]Haoyu Liu, Ningyi Liao, Siqiang Luo:
SIMGA: A Simple and Effective Heterophilous Graph Neural Network with Efficient Global Aggregation. CoRR abs/2305.09958 (2023) - [i10]Kai Wang, Siqiang Luo, Dan Lin:
River of No Return: Graph Percolation Embeddings for Efficient Knowledge Graph Reasoning. CoRR abs/2305.09974 (2023) - [i9]Dingheng Mo, Fanchao Chen, Siqiang Luo, Caihua Shan:
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads. CoRR abs/2308.07013 (2023) - [i8]Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li:
Label Propagation for Graph Label Noise. CoRR abs/2310.16560 (2023) - 2022
- [j16]Peng Zhu, Dawei Cheng, Siqiang Luo, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou:
SI-News: Integrating social information for news recommendation with attention-based graph convolutional network. Neurocomputing 494: 33-42 (2022) - [j15]Siqiang Luo, Xiaowei Wu, Ben Kao:
Distributed PageRank computation with improved round complexities. Inf. Sci. 607: 109-125 (2022) - [j14]Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin:
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization. Proc. VLDB Endow. 15(11): 3240-3248 (2022) - [j13]Peng Zhu, Dawei Cheng, Siqiang Luo, Ruyao Xu, Yuqi Liang, Yifeng Luo:
Leveraging enterprise knowledge graph to infer web events' influences via self-supervised learning. J. Web Semant. 74: 100722 (2022) - [c22]Ruyao Xu, Dawei Cheng, Cen Chen, Siqiang Luo, Yifeng Luo, Weining Qian:
Multi-scale Time Based Stock Appreciation Ranking Prediction via Price Co-movement Discrimination. DASFAA (3) 2022: 455-467 - [c21]Hanyuan Zhang, Siqiang Luo, Jieming Shi, Jing Nathan Yan, Weiwei Sun:
Example-based Spatial Search at Scale. ICDE 2022: 539-551 - [c20]Zichen Zhu, Siqiang Luo, Xiaokui Xiao, Yin Yang, Dingheng Mo, Yufei Han:
VC-Tune: Tuning and Exploring Distributed Vertex-Centric Graph Systems. ICDE 2022: 3142-3145 - [c19]Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian:
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily. ICML 2022: 13242-13256 - [c18]Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, Siqiang Luo:
Spiking Graph Convolutional Networks. IJCAI 2022: 2434-2440 - [c17]Zequan Xu, Siqiang Luo, Jieming Shi, Hui Li, Chen Lin, Qihang Sun, Shaofeng Hu:
Efficiently Answering k-hop Reachability Queries in Large Dynamic Graphs for Fraud Feature Extraction. MDM 2022: 238-245 - [c16]Junghoon Kim, Siqiang Luo, Gao Cong, Wenyuan Yu:
DMCS : Density Modularity based Community Search. SIGMOD Conference 2022: 889-903 - [c15]Eric R. Knorr, Baptiste Lemaire, Andrew Lim, Siqiang Luo, Huanchen Zhang, Stratos Idreos, Michael Mitzenmacher:
Proteus: A Self-Designing Range Filter. SIGMOD Conference 2022: 1670-1684 - [c14]Meng Li, Deyi Chen, Haipeng Dai, Rongbiao Xie, Siqiang Luo, Rong Gu, Tong Yang, Guihai Chen:
Seesaw Counting Filter: An Efficient Guardian for Vulnerable Negative Keys During Dynamic Filtering. WWW 2022: 2759-2767 - [i7]Kai Siong Yow, Siqiang Luo:
Learning-Based Approaches for Graph Problems: A Survey. CoRR abs/2204.01057 (2022) - [i6]Junghoon Kim, Siqiang Luo, Gao Cong, Wenyuan Yu:
DMCS : Density Modularity based Community Search. CoRR abs/2204.07720 (2022) - [i5]Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, Siqiang Luo:
Spiking Graph Convolutional Networks. CoRR abs/2205.02767 (2022) - [i4]Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian:
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily. CoRR abs/2205.07308 (2022) - [i3]Eric R. Knorr, Baptiste Lemaire, Andrew Lim, Siqiang Luo, Huanchen Zhang, Stratos Idreos, Michael Mitzenmacher:
Proteus: A Self-Designing Range Filter. CoRR abs/2207.01503 (2022) - [i2]Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin:
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization. CoRR abs/2207.09179 (2022) - 2021
- [c13]Dingheng Mo, Siqiang Luo:
Agenda: Robust Personalized PageRanks in Evolving Graphs. CIKM 2021: 1315-1324 - 2020
- [j12]Siqiang Luo, Reynold Cheng, Ben Kao, Xiaokui Xiao, Shuigeng Zhou, Jiafeng Hu:
ROAM: A Fundamental Routing Query on Road Networks with Efficiency. IEEE Trans. Knowl. Data Eng. 32(8): 1595-1609 (2020) - [j11]Siqiang Luo, Xiaokui Xiao, Wenqing Lin, Ben Kao:
BATON: Batch One-Hop Personalized PageRanks with Efficiency and Accuracy. IEEE Trans. Knowl. Data Eng. 32(10): 1897-1908 (2020) - [c12]Mengzhen Fan, Dawei Cheng, Fangzhou Yang, Siqiang Luo, Yifeng Luo, Weining Qian, Aoying Zhou:
Fusing Global Domain Information and Local Semantic Information to Classify Financial Documents. CIKM 2020: 2413-2420 - [c11]Siqiang Luo:
Improved Communication Cost in Distributed PageRank Computation - A Theoretical Study. ICML 2020: 6459-6467 - [c10]Siqiang Luo, Subarna Chatterjee, Rafael Ketsetsidis, Niv Dayan, Wilson Qin, Stratos Idreos:
Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores. SIGMOD Conference 2020: 2071-2086
2010 – 2019
- 2019
- [j10]Yixiang Fang, Zheng Wang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu, Xiaojun Chen:
On Spatial-Aware Community Search. IEEE Trans. Knowl. Data Eng. 31(4): 783-798 (2019) - [c9]Siqiang Luo:
Distributed PageRank Computation: An Improved Theoretical Study. AAAI 2019: 4496-4503 - [c8]Siqiang Luo, Ben Kao, Xiaowei Wu, Reynold Cheng:
MPR - A Partitioning-Replication Framework for Multi-Processing kNN Search on Road Networks. ICDE 2019: 1310-1321 - [c7]Siqiang Luo, Xiaokui Xiao, Wenqing Lin, Ben Kao:
Efficient Batch One-Hop Personalized PageRanks. ICDE 2019: 1562-1565 - 2018
- [j9]Siqiang Luo, Ben Kao, Guoliang Li, Jiafeng Hu, Reynold Cheng, Yudian Zheng:
TOAIN: A Throughput Optimizing Adaptive Index for Answering Dynamic kNN Queries on Road Networks. Proc. VLDB Endow. 11(5): 594-606 (2018) - [c6]Xiang Li, Ben Kao, Siqiang Luo, Martin Ester:
ROSC: Robust Spectral Clustering on Multi-scale Data. WWW 2018: 157-166 - 2017
- [j8]Yixiang Fang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu:
Effective Community Search over Large Spatial Graphs. Proc. VLDB Endow. 10(6): 709-720 (2017) - [j7]Yixiang Fang, Reynold Cheng, Siqiang Luo, Jiafeng Hu, Kai Huang:
C-Explorer: Browsing Communities in Large Graphs. Proc. VLDB Endow. 10(12): 1885-1888 (2017) - [j6]Jiafeng Hu, Xiaowei Wu, Reynold Cheng, Siqiang Luo, Yixiang Fang:
On Minimal Steiner Maximum-Connected Subgraph Queries. IEEE Trans. Knowl. Data Eng. 29(11): 2455-2469 (2017) - [j5]Yixiang Fang, Reynold Cheng, Yankai Chen, Siqiang Luo, Jiafeng Hu:
Effective and efficient attributed community search. VLDB J. 26(6): 803-828 (2017) - [c5]Jiafeng Hu, Reynold Cheng, Zhipeng Huang, Yixiang Fang, Siqiang Luo:
On Embedding Uncertain Graphs. CIKM 2017: 157-166 - [c4]Siqiang Luo, Jiafeng Hu, Reynold Cheng, Jing Yan, Ben Kao:
SEQ: Example-based Query for Spatial Objects. CIKM 2017: 2179-2182 - 2016
- [j4]Yixiang Fang, Reynold Cheng, Siqiang Luo, Jiafeng Hu:
Effective Community Search for Large Attributed Graphs. Proc. VLDB Endow. 9(12): 1233-1244 (2016) - [c3]Jiafeng Hu, Xiaowei Wu, Reynold Cheng, Siqiang Luo, Yixiang Fang:
Querying Minimal Steiner Maximum-Connected Subgraphs in Large Graphs. CIKM 2016: 1241-1250 - 2014
- [c2]Siqiang Luo, Yifeng Luo, Shuigeng Zhou, Gao Cong, Jihong Guan:
Distributed Spatial Keyword Querying on Road Networks. EDBT 2014: 235-246 - 2013
- [j3]Yifeng Luo, Siqiang Luo, Jihong Guan, Shuigeng Zhou:
A RAMCloud Storage System based on HDFS: Architecture, implementation and evaluation. J. Syst. Softw. 86(3): 744-750 (2013) - [c1]Andy Diwen Zhu, Hui Ma, Xiaokui Xiao, Siqiang Luo, Youze Tang, Shuigeng Zhou:
Shortest path and distance queries on road networks: towards bridging theory and practice. SIGMOD Conference 2013: 857-868 - [i1]Andy Diwen Zhu, Hui Ma, Xiaokui Xiao, Siqiang Luo, Youze Tang, Shuigeng Zhou:
Shortest Path and Distance Queries on Road Networks: Towards Bridging Theory and Practice. CoRR abs/1304.2576 (2013) - 2012
- [j2]Siqiang Luo, Junping Zhang, Qian Zhang, Xiaoru Yuan:
Multi-operator image retargeting with automatic integration of direct and indirect seam carving. Image Vis. Comput. 30(9): 655-667 (2012) - [j1]Siqiang Luo, Yifeng Luo, Shuigeng Zhou, Gao Cong, Jihong Guan:
DISKs: A System for Distributed Spatial Group Keyword Search on Road Networks. Proc. VLDB Endow. 5(12): 1966-1969 (2012)
Coauthor Index
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last updated on 2024-09-26 00:52 CEST by the dblp team
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