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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
- 2026
[j38]Alexander Harding Bradley, Jonathan E. Gordon, Balashanmuga Priyan Rajamohan, Van D. Tran, Nathaniel Hahn, Kiefer Lin, Hayden Caldwell, Arafath Nihar, Quynh D. Tran, Yinghui Wu, Laura S. Bruckman, Erika I. Barcelos, Roger H. French:
FAIRmaterials: Ontology Tools with Data FAIRification in Development. J. Open Source Softw. 11(117): 7287 (2026)- [c66]Arijit Khan
, Xiangyu Ke, Yinghui Wu, Francesco Bonchi:
GNN Explainers 2.0: User-centric and Data-driven Insights. WSDM 2026: 1359-1362 - [i19]Mingjian Lu, Pawan K. Tripathi, Mark Shteyn, Debargha Ganguly, Roger H. French, Vipin Chaudhary, Yinghui Wu:
Context Determines Optimal Architecture in Materials Segmentation. CoRR abs/2602.04154 (2026) - 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) - [c65]Mengying Wang, Hanchao Ma, Yiyang Bian, Yangxin Fan, Yinghui Wu:
Generating Skyline Datasets for Data Science Models. EDBT 2025: 803-815 - [c64]Moming Duan, Mingzhe Du, Rui Zhao, Mengying Wang, Yinghui Wu, Nigel Shadbolt, Bingsheng He:
Position: Current Model Licensing Practices are Dragging Us into a Quagmire of Legal Noncompliance. ICML (Position Papers) 2025 - [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 Security 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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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-03-15 00:16 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
