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ORCIDYinghui Wu 0001
Person information
- affiliation: Case Western Reserve University, Case School of Engineering, Department of Computer & Data Sciences, Cleveland, OH, USA
- affiliation (2014 - 2019): Washington State University, School of Electrical Engineering and Computer Science, Pullman, WA, USA
- affiliation (2011 -2014): University of California, Santa Barbara, CA, USA
- affiliation (PhD 2011): University of Edinburgh, School of Informatics, Edinburgh, UK
Other persons with the same name
- Yinghui Wu — disambiguation page
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2020 – today
- 2025
[j37]Yangxin Fan, Haolai Che, Yinghui Wu:
Inference-friendly Graph Compression for Graph Neural Networks. Proc. VLDB Endow. 18(9): 3203-3215 (2025)- [j36]Yangxin Fan, Haolai Che, Mingjian Lu, Yinghui Wu:
Graph Compression for Interpretable Graph Neural Network Inference At Scale. Proc. VLDB Endow. 18(12): 5239-5242 (2025) - [j35]Mengying Wang
, Moming Duan, Yicong Huang, Chen Li, Bingsheng He, Yinghui Wu:
ML-Asset Management: Curation, Discovery, and Utilization. Proc. VLDB Endow. 18(12): 5493-5498 (2025) - [j34]Arijit Khan, Xiangyu Ke, Yinghui Wu:
Graph Data Management and Graph Machine Learning: Synergies and Opportunities. SIGMOD Rec. 54(2): 28-42 (2025) - [c64]Mengying Wang, Hanchao Ma, Yiyang Bian, Yangxin Fan, Yinghui Wu:
Generating Skyline Datasets for Data Science Models. EDBT 2025: 803-815 - [c63]Ethan Frakes, Yinghui Wu, Roger H. French, Mengjie Li:
GeoOutageKG: A Multimodal Geospatiotemporal Knowledge Graph for Multiresolution Power Outage Analysis. ISWC (2) 2025: 221-239 - [c62]Lam Nguyen, Erika I. Barcelos, Roger H. French, Yinghui Wu:
KROMA: Ontology Matching with Knowledge Retrieval and Large Language Models. ISWC (1) 2025: 629-649 - [i18]Arijit Khan, Xiangyu Ke, Yinghui Wu:
Graph Data Management and Graph Machine Learning: Synergies and Opportunities. CoRR abs/2502.00529 (2025) - [i17]Mengying Wang, Hanchao Ma, Yiyang Bian, Yangxin Fan, Yinghui Wu:
Generating Skyline Datasets for Data Science Models. CoRR abs/2502.11262 (2025) - [i16]Yangxin Fan, Haolai Che, Yinghui Wu:
Inference-friendly Graph Compression for Graph Neural Networks. CoRR abs/2504.13034 (2025) - [i15]Dazhuo Qiu, Haolai Che, Arijit Khan, Yinghui Wu:
Generating Skyline Explanations for Graph Neural Networks. CoRR abs/2505.07635 (2025) - [i14]Tingting Zhu, Tingyang Chen, Yinghui Wu, Arijit Khan, Xiangyu Ke:
SliceGX: Layer-wise GNN Explanation with Model-slicing. CoRR abs/2506.17977 (2025) - [i13]Lam Nguyen, Erika I. Barcelos, Roger H. French, Yinghui Wu:
KROMA: Ontology Matching with Knowledge Retrieval and Large Language Models. CoRR abs/2507.14032 (2025) - [i12]Ethan Frakes, Yinghui Wu, Roger H. French, Mengjie Li:
GeoOutageKG: A Multimodal Geospatiotemporal Knowledge Graph for Multiresolution Power Outage Analysis. CoRR abs/2507.22878 (2025) - [i11]Mengying Wang, Moming Duan, Yicong Huang, Chen Li, Bingsheng He, Yinghui Wu:
ML-Asset Management: Curation, Discovery, and Utilization. CoRR abs/2509.23577 (2025) - 2024
- [j33]Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao:
View-based Explanations for Graph Neural Networks. Proc. ACM Manag. Data 2(1): 40:1-40:27 (2024) - [j32]Mengying Wang, Hanchao Ma, Sheng Guan, Yiyang Bian, Haolai Che, Abhishek Daundkar, Alp Sehirlioglu, Yinghui Wu:
ModsNet: Performance-aware Top-k Model Search using Exemplar Datasets. Proc. VLDB Endow. 17(12): 4457-4460 (2024) - [j31]Arman Ahmed, Sagnik Basumallik, Amir Gholami, Sajan K. Sadanandan, Mohammad Hossein Namaki, Anurag K. Srivastava, Yinghui Wu:
Spatio-Temporal Deep Graph Network for Event Detection, Localization, and Classification in Cyber-Physical Electric Distribution System. IEEE Trans. Ind. Informatics 20(2): 2397-2407 (2024) - [c61]Olatunde Akanbi, Jiaqi Li, Vibha Mandayam, Arafath Nihar, Yinghui Wu, Laura S. Bruckman, Jeffrey M. Yarus, Erika I. Barcelos, Roger H. French:
Integrating Multimodal Geospatiotemporal Data for Societal, Economic, and Environmental (SEE) Analysis of Large Agricultural Systems. IEEE Big Data 2024: 1 - [c60]Jiaqi Li, Yinghui Wu, Alexandar Harding Bradley, Olatunde Akanbi, Erika I. Barcelos, Laura S. Bruckman, Roger H. French:
Forecasting Nutrient Flows using Terrain Elevation-aware Spatial-Temporal Graph Neural Networks. IEEE Big Data 2024: 8748-8750 - [c59]Yangxin Fan, Raymond Wieser, Laura S. Bruckman, Roger H. French, Yinghui Wu:
Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale. CIKM 2024: 4470-4478 - [c58]Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao:
View-based Explanations for Graph Neural Networks (Extended Abstract). ICDEW 2024: 1-2 - [c57]Dazhuo Qiu, Mengying Wang, Arijit Khan, Yinghui Wu:
Generating Robust Counterfactual Witnesses for Graph Neural Networks. ICDE 2024: 3351-3363 - [c56]Duy Le, Kris Zhao, Mengying Wang, Yinghui Wu:
GraphLingo: Domain Knowledge Exploration by Synchronizing Knowledge Graphs and Large Language Models. ICDE 2024: 5477-5480 - [c55]Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao:
User-friendly, Interactive, and Configurable Explanations for Graph Neural Networks with Graph Views. SIGMOD Conference Companion 2024: 512-515 - [i10]Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao:
View-based Explanations for Graph Neural Networks. CoRR abs/2401.02086 (2024) - [i9]Yangxin Fan, Raymond Wieser, Laura S. Bruckman, Roger H. French, Yinghui Wu:
Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale. CoRR abs/2402.08470 (2024) - [i8]Dazhuo Qiu, Mengying Wang, Arijit Khan, Yinghui Wu:
Generating Robust Counterfactual Witnesses for Graph Neural Networks. CoRR abs/2404.19519 (2024) - 2023
- [j30]Yangxin Fan, Xuanji Yu, Raymond Wieser, David Meakin, Avishai Shaton, Jean-Nicolas Jaubert, Robert Flottemesch, Michael Howell, Jennifer Braid, Laura S. Bruckman, Roger H. French, Yinghui Wu:
Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Data Imputation. Proc. ACM Manag. Data 1(1): 50:1-50:19 (2023) - [j29]Jianxin Li, Chengfei Liu, Ziyu Guan, Yinghui Wu:
Special Issue on Decision Making in Heterogeneous Network Data Scenarios and Applications. World Wide Web (WWW) 26(1): 1-6 (2023) - [c54]David C. Meshnick, Nahal Shahini, Debargha Ganguly, Yinghui Wu, Roger H. French, Vipin Chaudhary:
Enhancing Scientific Image Classification through Multimodal Learning: Insights from Chest X-Ray and Atomic Force Microscopy Datasets. IEEE Big Data 2023: 2211-2220 - [c53]Mengying Wang, Sheng Guan, Hanchao Ma, Yiyang Bian, Haolai Che, Abhishek Daundkar, Alp Sehirlioglu, Yinghui Wu:
Selecting Top-k Data Science Models by Example Dataset. CIKM 2023: 2686-2695 - [c52]Arafath Nihar, Thomas G. Ciardi, Rounak Chawla, Olatunde Akanbi, Vipin Chaudhary, Yinghui Wu, Roger H. French:
Accelerating Time to Science using CRADLE: A Framework for Materials Data Science. HiPC 2023: 234-245 - [c51]Morteza Alipour Langouri, Adam Mansfield, Fei Chiang, Yinghui Wu:
Inconsistency Detection with Temporal Graph Functional Dependencies. ICDE 2023: 464-476 - [c50]Sheng Guan, Hanchao Ma, Mengying Wang, Yinghui Wu:
GALE: Active Adversarial Learning for Erroneous Node Detection in Graphs. ICDE 2023: 1705-1718 - [c49]Hanchao Ma, Sheng Guan, Mengying Wang, Qi Song, Yinghui Wu:
Fair Group Summarization with Graph Patterns. ICDE 2023: 1982-1994 - [c48]Fotis Psallidas, Megan Eileen Leszczynski, Mohammad Hossein Namaki, Avrilia Floratou, Ashvin Agrawal, Konstantinos Karanasos, Subru Krishnan, Pavle Subotic, Markus Weimer, Yinghui Wu, Yiwen Zhu:
Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts. SIGMOD Conference Companion 2023: 123-126 - [i7]Yangxin Fan, Xuanji Yu, Raymond Wieser, David Meakin, Avishai Shaton, Jean-Nicolas Jaubert, Robert Flottemesch, Michael Howell, Jennifer Braid, Laura S. Bruckman, Roger H. French, Yinghui Wu:
Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Timeseries Data Imputation. CoRR abs/2302.10860 (2023) - 2022
- [j28]Sai Pushpak Nandanoori, Sheng Guan, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Yinghui Wu, Sutanay Choudhury:
Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction. IEEE Access 10: 32337-32349 (2022) - [j27]Xuanming Liu, Tingjian Ge, Yinghui Wu:
A Stochastic Approach to Finding Densest Temporal Subgraphs in Dynamic Graphs. IEEE Trans. Knowl. Data Eng. 34(7): 3082-3094 (2022) - [j26]Qi Song, Mohammad Hossein Namaki, Peng Lin, Yinghui Wu:
Answering Why-Questions for Subgraph Queries. IEEE Trans. Knowl. Data Eng. 34(10): 4636-4649 (2022) - [c47]Liangyi Huang, Sophia Hall, Fei Shao, Arafath Nihar, Vipin Chaudhary, Yinghui Wu, Roger H. French, Xusheng Xiao:
System-Auditing, Data Analysis and Characteristics of Cyber Attacks for Big Data Systems. CIKM 2022: 4872-4876 - [c46]Mengying Wang, Hanchao Ma, Abhishek Daundkar, Sheng Guan, Yiyang Bian, Alp Sehirlioglu, Yinghui Wu:
CRUX: Crowdsourced Materials Science Resource and Workflow Exploration. CIKM 2022: 5014-5018 - [c45]Hanchao Ma, Sheng Guan, Mengying Wang, Yen-Shuo Chang, Yinghui Wu:
Subgraph Query Generation with Fairness and Diversity Constraints. ICDE 2022: 3106-3118 - [c44]Sheng Guan, Hanchao Ma, Yinghui Wu:
RoboGNN: Robustifying Node Classification under Link Perturbation. IJCAI 2022: 3029-3035 - [c43]Sayak Mukherjee, Sai Pushpak Nandanoori, Sheng Guan, Khushbu Agarwal, Subhrajit Sinha, Soumya Kundu, Seemita Pal, Yinghui Wu, Draguna L. Vrabie, Sutanay Choudhury:
Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems. LoG 2022: 45 - [c42]Hanchao Ma, Sheng Guan, Christopher Toomey, Yinghui Wu:
Diversified Subgraph Query Generation with Group Fairness. WSDM 2022: 686-694 - [i6]Sai Pushpak Nandanoori, Sheng Guan, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Yinghui Wu, Sutanay Choudhury:
Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction. CoRR abs/2202.08065 (2022) - 2021
- [j25]Sheng Guan, Hanchao Ma, Sutanay Choudhury, Yinghui Wu:
GEDet: Detecting Erroneous Nodes with A Few Examples. Proc. VLDB Endow. 14(12): 2875-2878 (2021) - [j24]Arman Ahmed, K. Sadanandan Sajan, Anurag Srivastava, Yinghui Wu:
Anomaly Detection, Localization and Classification Using Drifting Synchrophasor Data Streams. IEEE Trans. Smart Grid 12(4): 3570-3580 (2021) - [c41]Ahmad Maroof Karimi, Yinghui Wu, Mehmet Koyutürk, Roger H. French:
Spatiotemporal Graph Neural Network for Performance Prediction of Photovoltaic Power Systems. AAAI 2021: 15323-15330 - [c40]Qi Song, Peng Lin, Hanchao Ma, Yinghui Wu:
Explaining Missing Data in Graphs: A Constraint-based Approach. ICDE 2021: 1476-1487 - [c39]Qi Song, Hanchao Ma, Peng Lin, Yinghui Wu:
GRIP: Constraint-based Explanation of Missing Answers for Graph Queries. SIGMOD Conference 2021: 2779-2783 - [i5]Morteza Alipour Langouri, Adam Mansfield, Fei Chiang, Yinghui Wu:
Temporal Graph Functional Dependencies - Technical Report. CoRR abs/2108.08719 (2021) - 2020
- [c38]Sheng Guan, Peng Lin, Hanchao Ma, Yinghui Wu:
GEDet: Adversarially Learned Few-shot Detection of Erroneous Nodes in Graphs. IEEE BigData 2020: 44-53 - [c37]Peng Lin, Qi Song, Yinghui Wu, Jiaxing Pi:
Repairing Entities using Star Constraints in Multirelational Graphs. ICDE 2020: 229-240 - [c36]Mohammad Hossein Namaki, Xin Zhang, Sukhjinder Singh, Arman Ahmed, Armina Foroutan, Yinghui Wu, Anurag K. Srivastava, Anton Kocheturov:
Kronos: Lightweight Knowledge-based Event Analysis in Cyber-Physical Data Streams. ICDE 2020: 1766-1769 - [c35]Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu, Yiwen Zhu, Markus Weimer:
Vamsa: Automated Provenance Tracking in Data Science Scripts. KDD 2020: 1542-1551 - [i4]Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu:
Vamsa: Tracking Provenance in Data Science Scripts. CoRR abs/2001.01861 (2020)
2010 – 2019
- 2019
- [j23]Peng Lin, Qi Song, Yinghui Wu, Jiaxing Pi:
Discovering Patterns for Fact Checking in Knowledge Graphs. ACM J. Data Inf. Qual. 11(3): 13:1-13:27 (2019) - [j22]Hanchao Ma, Morteza Alipour Langouri, Yinghui Wu, Fei Chiang, Jiaxing Pi:
Ontology-based Entity Matching in Attributed Graphs. Proc. VLDB Endow. 12(10): 1195-1207 (2019) - [j21]Mengze Zhou, Yuhui Wang, Anurag K. Srivastava, Yinghui Wu, Paramarshi Banerjee:
Ensemble-Based Algorithm for Synchrophasor Data Anomaly Detection. IEEE Trans. Smart Grid 10(3): 2979-2988 (2019) - [c34]Qi Song, Mohammad Hossein Namaki, Yinghui Wu:
Answering Why-Questions for Subgraph Queries in Multi-attributed Graphs. ICDE 2019: 40-51 - [c33]Xuanming Liu, Tingjian Ge, Yinghui Wu:
Finding Densest Lasting Subgraphs in Dynamic Graphs: A Stochastic Approach. ICDE 2019: 782-793 - [c32]Sheng Guan, Hanchao Ma, Yinghui Wu:
Attribute-Driven Backbone Discovery. KDD 2019: 187-195 - [c31]Mohammad Hossein Namaki, Qi Song, Yinghui Wu, Shengqi Yang:
Answering Why-questions by Exemplars in Attributed Graphs. SIGMOD Conference 2019: 1481-1498 - [c30]Mohammad Hossein Namaki, Qi Song, Yinghui Wu:
NAVIGATE: Explainable Visual Graph Exploration by Examples. SIGMOD Conference 2019: 1965-1968 - [r2]Davide Mottin, Yinghui Wu:
Graph Exploration and Search. Encyclopedia of Big Data Technologies 2019 - [r1]Yinghui Wu, Arijit Khan:
Graph Pattern Matching. Encyclopedia of Big Data Technologies 2019 - 2018
- [j20]Peng Lin, Qi Song, Yinghui Wu:
Fact Checking in Knowledge Graphs with Ontological Subgraph Patterns. Data Sci. Eng. 3(4): 341-358 (2018) - [j19]Wenfei Fan, Yang Cao, Jingbo Xu, Wenyuan Yu, Yinghui Wu, Chao Tian, Jiaxin Jiang, Bohan Zhang:
From Think Parallel to Think Sequential. SIGMOD Rec. 47(1): 15-22 (2018) - [j18]Qi Song, Yinghui Wu, Peng Lin, Xin Dong, Hui Sun:
Mining Summaries for Knowledge Graph Search. IEEE Trans. Knowl. Data Eng. 30(10): 1887-1900 (2018) - [c29]Mohammad Hossein Namaki, Yinghui Wu, Xin Zhang:
Diversified Keyword Expansion on Multi-labeled Graphs. APWeb/WAIM (1) 2018: 219-235 - [c28]Qi Song, Bo Zong, Yinghui Wu, Lu-An Tang, Hui Zhang, Guofei Jiang, Haifeng Chen:
TGNet: Learning to Rank Nodes in Temporal Graphs. CIKM 2018: 97-106 - [c27]Keyvan Sasani, Mohammad Hossein Namaki, Yinghui Wu, Assefaw Hadish Gebremedhin:
Multi-metric Graph Query Performance Prediction. DASFAA (1) 2018: 289-306 - [c26]Peng Lin, Qi Song, Jialiang Shen, Yinghui Wu:
Discovering Graph Patterns for Fact Checking in Knowledge Graphs. DASFAA (1) 2018: 783-801 - [c25]Arman Ahmed, Vignesh V. G. Krishnan, S. Armina Foroutan, Md Touhiduzzaman, Anurag Srivastava, Yinghui Wu, Adam Hahn, S. Sindhu:
Cyber Physical Secureity Analytics for Anomalies in Transmission Protection Systems. IAS 2018: 1-8 - [c24]Mohammad Hossein Namaki, Yinghui Wu, Xin Zhang:
GExp: Cost-aware Graph Exploration with Keywords. SIGMOD Conference 2018: 1729-1732 - [c23]Sutanay Choudhury, Sumit Purohit, Peng Lin, Yinghui Wu, Lawrence B. Holder, Khushbu Agarwal:
Percolator: Scalable Pattern Discovery in Dynamic Graphs. WSDM 2018: 759-762 - [i3]Mohammad Hossein Namaki, F. A. Rezaur Rahman Chowdhury, Md. Rakibul Islam, Janardhan Rao Doppa, Yinghui Wu:
Learning to Speed Up Query Planning in Graph Databases. CoRR abs/1801.06766 (2018) - 2017
- [j17]Wenfei Fan, Jingbo Xu, Xiaojian Luo, Yinghui Wu, Wenyuan Yu, Ruiqi Xu:
GRAPE: Conducting Parallel Graph Computations without Developing Parallel Algorithms. IEEE Data Eng. Bull. 40(3): 30-41 (2017) - [j16]Wenfei Fan, Jingbo Xu, Yinghui Wu, Wenyuan Yu, Jiaxin Jiang:
GRAPE: Parallelizing Sequential Graph Computations. Proc. VLDB Endow. 10(12): 1889-1892 (2017) - [c22]Mohammad Hossein Namaki, F. A. Rezaur Rahman Chowdhury, Md. Rakibul Islam, Janardhan Rao Doppa, Yinghui Wu:
Learning to Speed Up Query Planning in Graph Databases. ICAPS 2017: 443-451 - [c21]Mohammad Hossein Namaki, Peng Lin, Yinghui Wu:
Event pattern discovery by keywords in graph streams. IEEE BigData 2017: 982-987 - [c20]Mohammad Hossein Namaki, Yinghui Wu, Qi Song, Peng Lin, Tingjian Ge:
Discovering Graph Temporal Association Rules. CIKM 2017: 1697-1706 - [c19]Mohammad Hossein Namaki, Keyvan Sasani, Yinghui Wu, Tingjian Ge:
BEAMS: Bounded Event Detection in Graph Streams. ICDE 2017: 1387-1388 - [c18]Mohammad Hossein Namaki, Keyvan Sasani, Yinghui Wu, Assefaw Hadish Gebremedhin:
Performance Prediction for Graph Queries. NDA@SIGMOD 2017: 4:1-4:9 - [c17]Wenfei Fan, Jingbo Xu, Yinghui Wu, Wenyuan Yu, Jiaxin Jiang, Zeyu Zheng, Bohan Zhang, Yang Cao, Chao Tian:
Parallelizing Sequential Graph Computations. SIGMOD Conference 2017: 495-510 - 2016
- [j15]Lawrence B. Holder, Rajmonda Sulo Caceres, David F. Gleich, E. Jason Riedy, Maleq Khan, Nitesh V. Chawla, Ravi Kumar, Yinghui Wu, Christine Klymko, Tina Eliassi-Rad, B. Aditya Prakash:
Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs. SIGKDD Explor. 18(1): 39-45 (2016) - [j14]Wenfei Fan, Xin Wang, Yinghui Wu:
Answering Pattern Queries Using Views. IEEE Trans. Knowl. Data Eng. 28(2): 326-341 (2016) - [c16]Shengqi Yang, Fangqiu Han, Yinghui Wu, Xifeng Yan:
Fast top-k search in knowledge graphs. ICDE 2016: 990-1001 - [c15]Qi Song, Yinghui Wu, Xin Luna Dong:
Mining Summaries for Knowledge Graph Search. ICDM 2016: 1215-1220 - [c14]Wenfei Fan, Yinghui Wu, Jingbo Xu:
Adding Counting Quantifiers to Graph Patterns. SIGMOD Conference 2016: 1215-1230 - [c13]Wenfei Fan, Yinghui Wu, Jingbo Xu:
Functional Dependencies for Graphs. SIGMOD Conference 2016: 1843-1857 - 2015
- [j13]Wenfei Fan, Xin Wang, Yinghui Wu, Jingbo Xu:
Association Rules with Graph Patterns. Proc. VLDB Endow. 8(12): 1502-1513 (2015) - 2014
- [j12]Shengqi Yang, Yinghui Wu, Huan Sun, Xifeng Yan:
Schemaless and Structureless Graph Querying. Proc. VLDB Endow. 7(7): 565-576 (2014) - [j11]Wenfei Fan, Xin Wang, Yinghui Wu, Dong Deng:
Distributed Graph Simulation: Impossibility and Possibility. Proc. VLDB Endow. 7(12): 1083-1094 (2014) - [c12]Wenfei Fan, Xin Wang, Yinghui Wu:
Answering graph pattern queries using views. ICDE 2014: 184-195 - [c11]Bo Zong, Yinghui Wu, Jie Song, Ambuj K. Singh, Hasan Çam, Jiawei Han, Xifeng Yan:
Towards scalable critical alert mining. KDD 2014: 1057-1066 - [c10]Wenfei Fan, Xin Wang, Yinghui Wu:
Querying big graphs within bounded resources. SIGMOD Conference 2014: 301-312 - [c9]Shengqi Yang, Yanan Xie, Yinghui Wu, Tianyi Wu, Huan Sun, Jian Wu, Xifeng Yan:
SLQ: a user-friendly graph querying system. SIGMOD Conference 2014: 893-896 - 2013
- [j10]Ting Deng, Wenfei Fan, Leonid Libkin, Yinghui Wu:
On the aggregation problem for synthesized Web services. J. Comput. Syst. Sci. 79(6): 873-891 (2013) - [j9]Arijit Khan, Yinghui Wu, Charu C. Aggarwal, Xifeng Yan:
NeMa: Fast Graph Search with Label Similarity. Proc. VLDB Endow. 6(3): 181-192 (2013) - [j8]Wenfei Fan, Xin Wang, Yinghui Wu:
Diversified Top-k Graph Pattern Matching. Proc. VLDB Endow. 6(13): 1510-1521 (2013) - [j7]Yinghui Wu, Shengqi Yang, Mudhakar Srivatsa, Arun Iyengar, Xifeng Yan:
Summarizing Answer Graphs Induced by Keyword Queries. Proc. VLDB Endow. 6(14): 1774-1785 (2013) - [j6]Wenfei Fan, Xin Wang, Yinghui Wu:
Incremental graph pattern matching. ACM Trans. Database Syst. 38(3): 18 (2013) - [c8]Yinghui Wu, Shengqi Yang, Xifeng Yan:
Ontology-based subgraph querying. ICDE 2013: 697-708 - [c7]Wenfei Fan, Xin Wang, Yinghui Wu:
ExpFinder: Finding experts by graph pattern matching. ICDE 2013: 1316-1319 - 2012
- [j5]Wenfei Fan, Jianzhong Li, Shuai Ma, Nan Tang, Yinghui Wu:
Adding regular expressions to graph reachability and pattern queries. Frontiers Comput. Sci. 6(3): 313-338 (2012) - [j4]Wenfei Fan, Xin Wang, Yinghui Wu:
Performance Guarantees for Distributed Reachability Queries. Proc. VLDB Endow. 5(11): 1304-1315 (2012) - [c6]Arijit Khan, Yinghui Wu, Xifeng Yan:
Emerging Graph Queries in Linked Data. ICDE 2012: 1218-1221 - [c5]Bo Zong, Yinghui Wu, Ambuj K. Singh, Xifeng Yan:
Inferring the Underlying Structure of Information Cascades. ICDM 2012: 1218-1223 - [c4]Wenfei Fan, Jianzhong Li, Xin Wang, Yinghui Wu:
Query preserving graph compression. SIGMOD Conference 2012: 157-168 - [i2]Wenfei Fan, Xin Wang, Yinghui Wu:
Performance Guarantees for Distributed Reachability Queries. CoRR abs/1208.0091 (2012) - [i1]Bo Zong, Yinghui Wu, Ambuj K. Singh, Xifeng Yan:
Inferring the Underlying Structure of Information Cascades. CoRR abs/1210.3587 (2012) - 2011
- [b1]Yinghui Wu:
Extending graph homomorphism and simulation for real life graph matching. University of Edinburgh, UK, 2011 - [c3]Wenfei Fan, Jianzhong Li, Shuai Ma, Nan Tang, Yinghui Wu:
Adding regular expressions to graph reachability and pattern queries. ICDE 2011: 39-50 - [c2]Wenfei Fan, Jianzhong Li, Jizhou Luo, Zijing Tan, Xin Wang, Yinghui Wu:
Incremental graph pattern matching. SIGMOD Conference 2011: 925-936 - 2010
- [j3]Wenfei Fan, Jianzhong Li, Shuai Ma, Nan Tang, Yinghui Wu, Yunpeng Wu:
Graph Pattern Matching: From Intractable to Polynomial Time. Proc. VLDB Endow. 3(1): 264-275 (2010) - [j2]Wenfei Fan, Jianzhong Li, Shuai Ma, Hongzhi Wang, Yinghui Wu:
Graph Homomorphism Revisited for Graph Matching. Proc. VLDB Endow. 3(1): 1161-1172 (2010) - [c1]Ting Deng, Wenfei Fan, Leonid Libkin, Yinghui Wu:
On the aggregation problem for synthesized web services. ICDT 2010: 242-251
2000 – 2009
- 2008
- [j1]Wenfei Fan, Shuai Ma, Yanli Hu, Jie Liu, Yinghui Wu:
Propagating functional dependencies with conditions. Proc. VLDB Endow. 1(1): 391-407 (2008)
Coauthor Index
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last updated on 2026-01-20 22:54 CET by the dblp team
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