Yinghui Wu

127 papers A* 27A 10B 4C 1Misc 1Journal 57Unranked 24
YearRankTypeTitle / Venue / Authors
2026 J jnl
Context Determines Optimal Architecture in Materials Segmentation.
CoRR
Mingjian Lu, Pawan K. Tripathi, Mark Shteyn, Debargha Ganguly, Roger H. French, Vipin Chaudhary, Yinghui Wu
2026 J jnl
FAIRmaterials: Ontology Tools with Data FAIRification in Development.
J. Open Source Softw.
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
2026 A conf
GNN Explainers 2.0: User-centric and Data-driven Insights.
WSDM
Arijit Khan, Xiangyu Ke, Yinghui Wu, Francesco Bonchi
2026 A* conf
SliceGX: Layer-wise GNN Explanation with Model-slicing.
WWW
Cibo Yu, Tingting Zhu, Tingyang Chen, Yinghui Wu, Arijit Khan, Xiangyu Ke
2025 B conf
Generating Skyline Datasets for Data Science Models.
EDBT
Mengying Wang, Hanchao Ma, Yiyang Bian, Yangxin Fan, Yinghui Wu
2025 J jnl
Generating Skyline Datasets for Data Science Models.
CoRR
Mengying Wang, Hanchao Ma, Yiyang Bian, Yangxin Fan, Yinghui Wu
2025 J jnl
Generating Skyline Explanations for Graph Neural Networks.
CoRR
Dazhuo Qiu, Haolai Che, Arijit Khan, Yinghui Wu
2025 — conf
GeoOutageKG: A Multimodal Geospatiotemporal Knowledge Graph for Multiresolution Power Outage Analysis.
ISWC (2)
Ethan Frakes, Yinghui Wu, Roger H. French, Mengjie Li
2025 J jnl
GeoOutageKG: A Multimodal Geospatiotemporal Knowledge Graph for Multiresolution Power Outage Analysis.
CoRR
Ethan Frakes, Yinghui Wu, Roger H. French, Mengjie Li
2025 J jnl
Graph Compression for Interpretable Graph Neural Network Inference At Scale.
Proc. VLDB Endow.
Yangxin Fan, Haolai Che, Mingjian Lu, Yinghui Wu
2025 J jnl
Graph Data Management and Graph Machine Learning: Synergies and Opportunities.
CoRR
Arijit Khan, Xiangyu Ke, Yinghui Wu
2025 J jnl
Graph Data Management and Graph Machine Learning: Synergies and Opportunities.
SIGMOD Rec.
Arijit Khan, Xiangyu Ke, Yinghui Wu
2025 J jnl
Inference-friendly Graph Compression for Graph Neural Networks.
CoRR
Yangxin Fan, Haolai Che, Yinghui Wu
2025 J jnl
Inference-friendly Graph Compression for Graph Neural Networks.
Proc. VLDB Endow.
Yangxin Fan, Haolai Che, Yinghui Wu
2025 — conf
KROMA: Ontology Matching with Knowledge Retrieval and Large Language Models.
ISWC (1)
Lam Nguyen, Erika I. Barcelos, Roger H. French, Yinghui Wu
2025 J jnl
KROMA: Ontology Matching with Knowledge Retrieval and Large Language Models.
CoRR
Lam Nguyen, Erika I. Barcelos, Roger H. French, Yinghui Wu
2025 J jnl
ML-Asset Management: Curation, Discovery, and Utilization.
CoRR
Mengying Wang, Moming Duan, Yicong Huang, Chen Li, Bingsheng He, Yinghui Wu
2025 J jnl
ML-Asset Management: Curation, Discovery, and Utilization.
Proc. VLDB Endow.
Mengying Wang, Moming Duan, Yicong Huang, Chen Li, Bingsheng He, Yinghui Wu
2025 — conf
Position: Current Model Licensing Practices are Dragging Us into a Quagmire of Legal Noncompliance.
ICML (Position Papers)
Moming Duan, Mingzhe Du, Rui Zhao, Mengying Wang, Yinghui Wu, Nigel Shadbolt, Bingsheng He
2025 J jnl
SliceGX: Layer-wise GNN Explanation with Model-slicing.
CoRR
Tingting Zhu, Tingyang Chen, Yinghui Wu, Arijit Khan, Xiangyu Ke
2024 B conf
Forecasting Nutrient Flows using Terrain Elevation-aware Spatial-Temporal Graph Neural Networks.
IEEE Big Data
Jiaqi Li, Yinghui Wu, Alexandar Harding Bradley, Olatunde Akanbi, Erika I. Barcelos, Laura S. Bruckman, Roger H. French
2024 A* conf
Generating Robust Counterfactual Witnesses for Graph Neural Networks.
ICDE
Dazhuo Qiu, Mengying Wang, Arijit Khan, Yinghui Wu
2024 J jnl
Generating Robust Counterfactual Witnesses for Graph Neural Networks.
CoRR
Dazhuo Qiu, Mengying Wang, Arijit Khan, Yinghui Wu
2024 A* conf
GraphLingo: Domain Knowledge Exploration by Synchronizing Knowledge Graphs and Large Language Models.
ICDE
Duy Le, Kris Zhao, Mengying Wang, Yinghui Wu
2024 B conf
Integrating Multimodal Geospatiotemporal Data for Societal, Economic, and Environmental (SEE) Analysis of Large Agricultural Systems.
IEEE Big Data
Olatunde Akanbi, Jiaqi Li, Vibha Mandayam, Arafath Nihar, Yinghui Wu, Laura S. Bruckman, Jeffrey M. Yarus, Erika I. Barcelos, Roger H. French
2024 J jnl
ModsNet: Performance-aware Top-k Model Search using Exemplar Datasets.
Proc. VLDB Endow.
Mengying Wang, Hanchao Ma, Sheng Guan, Yiyang Bian, Haolai Che, Abhishek Daundkar, Alp Sehirlioglu, Yinghui Wu
2024 A conf
Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale.
CIKM
Yangxin Fan, Raymond Wieser, Laura S. Bruckman, Roger H. French, Yinghui Wu
2024 J jnl
Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale.
CoRR
Yangxin Fan, Raymond Wieser, Laura S. Bruckman, Roger H. French, Yinghui Wu
2024 J jnl
Spatio-Temporal Deep Graph Network for Event Detection, Localization, and Classification in Cyber-Physical Electric Distribution System.
IEEE Trans. Ind. Informatics
Arman Ahmed, Sagnik Basumallik, Amir Gholami, Sajan K. Sadanandan, Mohammad Hossein Namaki, Anurag K. Srivastava, Yinghui Wu
2024 — conf
User-friendly, Interactive, and Configurable Explanations for Graph Neural Networks with Graph Views.
SIGMOD Conference Companion
Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao
2024 — conf
View-based Explanations for Graph Neural Networks (Extended Abstract).
ICDEW
Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao
2024 J jnl
View-based Explanations for Graph Neural Networks.
CoRR
Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao
2024 J jnl
View-based Explanations for Graph Neural Networks.
Proc. ACM Manag. Data
Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao
2023 Misc conf
Accelerating Time to Science using CRADLE: A Framework for Materials Data Science.
HiPC
Arafath Nihar, Thomas G. Ciardi, Rounak Chawla, Olatunde Akanbi, Vipin Chaudhary, Yinghui Wu, Roger H. French
2023 — conf
Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts.
SIGMOD Conference Companion
Fotis Psallidas, Megan Eileen Leszczynski, Mohammad Hossein Namaki, Avrilia Floratou, Ashvin Agrawal, Konstantinos Karanasos, Subru Krishnan, Pavle Subotic, Markus Weimer, Yinghui Wu, Yiwen Zhu
2023 B conf
Enhancing Scientific Image Classification through Multimodal Learning: Insights from Chest X-Ray and Atomic Force Microscopy Datasets.
IEEE Big Data
David C. Meshnick, Nahal Shahini, Debargha Ganguly, Yinghui Wu, Roger H. French, Vipin Chaudhary
2023 A* conf
Fair Group Summarization with Graph Patterns.
ICDE
Hanchao Ma, Sheng Guan, Mengying Wang, Qi Song, Yinghui Wu
2023 A* conf
GALE: Active Adversarial Learning for Erroneous Node Detection in Graphs.
ICDE
Sheng Guan, Hanchao Ma, Mengying Wang, Yinghui Wu
2023 A* conf
Inconsistency Detection with Temporal Graph Functional Dependencies.
ICDE
Morteza Alipour Langouri, Adam Mansfield, Fei Chiang, Yinghui Wu
2023 A conf
Selecting Top-k Data Science Models by Example Dataset.
CIKM
Mengying Wang, Sheng Guan, Hanchao Ma, Yiyang Bian, Haolai Che, Abhishek Daundkar, Alp Sehirlioglu, Yinghui Wu
2023 J jnl
Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Data Imputation.
Proc. ACM Manag. Data
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
2023 J jnl
Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Timeseries Data Imputation.
CoRR
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
2023 J jnl
Special Issue on Decision Making in Heterogeneous Network Data Scenarios and Applications.
World Wide Web (WWW)
Jianxin Li, Chengfei Liu, Ziyu Guan, Yinghui Wu
2022 J jnl
A Stochastic Approach to Finding Densest Temporal Subgraphs in Dynamic Graphs.
IEEE Trans. Knowl. Data Eng.
Xuanming Liu, Tingjian Ge, Yinghui Wu
2022 J jnl
Answering Why-Questions for Subgraph Queries.
IEEE Trans. Knowl. Data Eng.
Qi Song, Mohammad Hossein Namaki, Peng Lin, Yinghui Wu
2022 A conf
CRUX: Crowdsourced Materials Science Resource and Workflow Exploration.
CIKM
Mengying Wang, Hanchao Ma, Abhishek Daundkar, Sheng Guan, Yiyang Bian, Alp Sehirlioglu, Yinghui Wu
2022 A conf
Diversified Subgraph Query Generation with Group Fairness.
WSDM
Hanchao Ma, Sheng Guan, Christopher Toomey, Yinghui Wu
2022 J jnl
Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction.
IEEE Access
Sai Pushpak Nandanoori, Sheng Guan, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Yinghui Wu, Sutanay Choudhury
2022 J jnl
Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction.
CoRR
Sai Pushpak Nandanoori, Sheng Guan, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Yinghui Wu, Sutanay Choudhury
2022 — conf
Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems.
LoG
Sayak Mukherjee, Sai Pushpak Nandanoori, Sheng Guan, Khushbu Agarwal, Subhrajit Sinha, Soumya Kundu, Seemita Pal, Yinghui Wu, Draguna L. Vrabie, Sutanay Choudhury
2022 A* conf
RoboGNN: Robustifying Node Classification under Link Perturbation.
IJCAI
Sheng Guan, Hanchao Ma, Yinghui Wu
2022 A* conf
Subgraph Query Generation with Fairness and Diversity Constraints.
ICDE
Hanchao Ma, Sheng Guan, Mengying Wang, Yen-Shuo Chang, Yinghui Wu
2022 A conf
System-Auditing, Data Analysis and Characteristics of Cyber Attacks for Big Data Systems.
CIKM
Liangyi Huang, Sophia Hall, Fei Shao, Arafath Nihar, Vipin Chaudhary, Yinghui Wu, Roger H. French, Xusheng Xiao
2021 J jnl
Anomaly Detection, Localization and Classification Using Drifting Synchrophasor Data Streams.
IEEE Trans. Smart Grid
Arman Ahmed, K. Sadanandan Sajan, Anurag Srivastava, Yinghui Wu
2021 A* conf
Explaining Missing Data in Graphs: A Constraint-based Approach.
ICDE
Qi Song, Peng Lin, Hanchao Ma, Yinghui Wu
2021 J jnl
GEDet: Detecting Erroneous Nodes with A Few Examples.
Proc. VLDB Endow.
Sheng Guan, Hanchao Ma, Sutanay Choudhury, Yinghui Wu
2021 — conf
GRIP: Constraint-based Explanation of Missing Answers for Graph Queries.
SIGMOD Conference
Qi Song, Hanchao Ma, Peng Lin, Yinghui Wu
2021 A* conf
Spatiotemporal Graph Neural Network for Performance Prediction of Photovoltaic Power Systems.
AAAI
Ahmad Maroof Karimi, Yinghui Wu, Mehmet Koyutürk, Roger H. French
2021 J jnl
Temporal Graph Functional Dependencies - Technical Report.
CoRR
Morteza Alipour Langouri, Adam Mansfield, Fei Chiang, Yinghui Wu
2020 — conf
GEDet: Adversarially Learned Few-shot Detection of Erroneous Nodes in Graphs.
IEEE BigData
Sheng Guan, Peng Lin, Hanchao Ma, Yinghui Wu
2020 A* conf
Kronos: Lightweight Knowledge-based Event Analysis in Cyber-Physical Data Streams.
ICDE
Mohammad Hossein Namaki, Xin Zhang, Sukhjinder Singh, Arman Ahmed, Armina Foroutan, Yinghui Wu, Anurag K. Srivastava, Anton Kocheturov
2020 A* conf
Repairing Entities using Star Constraints in Multirelational Graphs.
ICDE
Peng Lin, Qi Song, Yinghui Wu, Jiaxing Pi
2020 A* conf
Vamsa: Automated Provenance Tracking in Data Science Scripts.
KDD
Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu, Yiwen Zhu, Markus Weimer
2020 J jnl
Vamsa: Tracking Provenance in Data Science Scripts.
CoRR
Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu
2019 A* conf
Answering Why-Questions for Subgraph Queries in Multi-attributed Graphs.
ICDE
Qi Song, Mohammad Hossein Namaki, Yinghui Wu
2019 — conf
Answering Why-questions by Exemplars in Attributed Graphs.
SIGMOD Conference
Mohammad Hossein Namaki, Qi Song, Yinghui Wu, Shengqi Yang
2019 A* conf
Attribute-Driven Backbone Discovery.
KDD
Sheng Guan, Hanchao Ma, Yinghui Wu
2019 J jnl
Discovering Patterns for Fact Checking in Knowledge Graphs.
ACM J. Data Inf. Qual.
Peng Lin, Qi Song, Yinghui Wu, Jiaxing Pi
2019 J jnl
Ensemble-Based Algorithm for Synchrophasor Data Anomaly Detection.
IEEE Trans. Smart Grid
Mengze Zhou, Yuhui Wang, Anurag K. Srivastava, Yinghui Wu, Paramarshi Banerjee
2019 A* conf
Finding Densest Lasting Subgraphs in Dynamic Graphs: A Stochastic Approach.
ICDE
Xuanming Liu, Tingjian Ge, Yinghui Wu
2019 — ch.
Graph Exploration and Search.
Encyclopedia of Big Data Technologies
Davide Mottin, Yinghui Wu
2019 — ch.
Graph Pattern Matching.
Encyclopedia of Big Data Technologies
Yinghui Wu, Arijit Khan
2019 — conf
NAVIGATE: Explainable Visual Graph Exploration by Examples.
SIGMOD Conference
Mohammad Hossein Namaki, Qi Song, Yinghui Wu
2019 J jnl
Ontology-based Entity Matching in Attributed Graphs.
Proc. VLDB Endow.
Hanchao Ma, Morteza Alipour Langouri, Yinghui Wu, Fei Chiang, Jiaxing Pi
2018 C conf
Cyber Physical Security Analytics for Anomalies in Transmission Protection Systems.
IAS
Arman Ahmed, Vignesh V. G. Krishnan, S. Armina Foroutan, Md Touhiduzzaman, Anurag Srivastava, Yinghui Wu, Adam Hahn, S. Sindhu
2018 — conf
Discovering Graph Patterns for Fact Checking in Knowledge Graphs.
DASFAA (1)
Peng Lin, Qi Song, Jialiang Shen, Yinghui Wu
2018 — conf
Diversified Keyword Expansion on Multi-labeled Graphs.
APWeb/WAIM (1)
Mohammad Hossein Namaki, Yinghui Wu, Xin Zhang
2018 J jnl
Fact Checking in Knowledge Graphs with Ontological Subgraph Patterns.
Data Sci. Eng.
Peng Lin, Qi Song, Yinghui Wu
2018 J jnl
From Think Parallel to Think Sequential.
SIGMOD Rec.
Wenfei Fan, Yang Cao, Jingbo Xu, Wenyuan Yu, Yinghui Wu, Chao Tian, Jiaxin Jiang, Bohan Zhang
2018 — conf
GExp: Cost-aware Graph Exploration with Keywords.
SIGMOD Conference
Mohammad Hossein Namaki, Yinghui Wu, Xin Zhang
2018 J jnl
Learning to Speed Up Query Planning in Graph Databases.
CoRR
Mohammad Hossein Namaki, F. A. Rezaur Rahman Chowdhury, Md. Rakibul Islam, Janardhan Rao Doppa, Yinghui Wu
2018 J jnl
Mining Summaries for Knowledge Graph Search.
IEEE Trans. Knowl. Data Eng.
Qi Song, Yinghui Wu, Peng Lin, Xin Dong, Hui Sun
2018 — conf
Multi-metric Graph Query Performance Prediction.
DASFAA (1)
Keyvan Sasani, Mohammad Hossein Namaki, Yinghui Wu, Assefaw Hadish Gebremedhin
2018 A conf
Percolator: Scalable Pattern Discovery in Dynamic Graphs.
WSDM
Sutanay Choudhury, Sumit Purohit, Peng Lin, Yinghui Wu, Lawrence B. Holder, Khushbu Agarwal
2018 A conf
TGNet: Learning to Rank Nodes in Temporal Graphs.
CIKM
Qi Song, Bo Zong, Yinghui Wu, Lu-An Tang, Hui Zhang, Guofei Jiang, Haifeng Chen
2017 A* conf
BEAMS: Bounded Event Detection in Graph Streams.
ICDE
Mohammad Hossein Namaki, Keyvan Sasani, Yinghui Wu, Tingjian Ge
2017 A conf
Discovering Graph Temporal Association Rules.
CIKM
Mohammad Hossein Namaki, Yinghui Wu, Qi Song, Peng Lin, Tingjian Ge
2017 — conf
Event pattern discovery by keywords in graph streams.
IEEE BigData
Mohammad Hossein Namaki, Peng Lin, Yinghui Wu
2017 J jnl
GRAPE: Conducting Parallel Graph Computations without Developing Parallel Algorithms.
IEEE Data Eng. Bull.
Wenfei Fan, Jingbo Xu, Xiaojian Luo, Yinghui Wu, Wenyuan Yu, Ruiqi Xu
2017 J jnl
GRAPE: Parallelizing Sequential Graph Computations.
Proc. VLDB Endow.
Wenfei Fan, Jingbo Xu, Yinghui Wu, Wenyuan Yu, Jiaxin Jiang
2017 A* conf
Learning to Speed Up Query Planning in Graph Databases.
ICAPS
Mohammad Hossein Namaki, F. A. Rezaur Rahman Chowdhury, Md. Rakibul Islam, Janardhan Rao Doppa, Yinghui Wu
2017 — conf
Parallelizing Sequential Graph Computations.
SIGMOD Conference
Wenfei Fan, Jingbo Xu, Yinghui Wu, Wenyuan Yu, Jiaxin Jiang, Zeyu Zheng, Bohan Zhang, Yang Cao, Chao Tian
2017 — conf
Performance Prediction for Graph Queries.
NDA@SIGMOD
Mohammad Hossein Namaki, Keyvan Sasani, Yinghui Wu, Assefaw Hadish Gebremedhin
2016 — conf
Adding Counting Quantifiers to Graph Patterns.
SIGMOD Conference
Wenfei Fan, Yinghui Wu, Jingbo Xu
2016 J jnl
Answering Pattern Queries Using Views.
IEEE Trans. Knowl. Data Eng.
Wenfei Fan, Xin Wang, Yinghui Wu
2016 J jnl
Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs.
SIGKDD Explor.
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
2016 A* conf
Fast top-k search in knowledge graphs.
ICDE
Shengqi Yang, Fangqiu Han, Yinghui Wu, Xifeng Yan
2016 — conf
Functional Dependencies for Graphs.
SIGMOD Conference
Wenfei Fan, Yinghui Wu, Jingbo Xu
2016 A* conf
Mining Summaries for Knowledge Graph Search.
ICDM
Qi Song, Yinghui Wu, Xin Luna Dong
2015 J jnl
Association Rules with Graph Patterns.
Proc. VLDB Endow.
Wenfei Fan, Xin Wang, Yinghui Wu, Jingbo Xu
2014 A* conf
Answering graph pattern queries using views.
ICDE
Wenfei Fan, Xin Wang, Yinghui Wu
2014 J jnl
Distributed Graph Simulation: Impossibility and Possibility.
Proc. VLDB Endow.
Wenfei Fan, Xin Wang, Yinghui Wu, Dong Deng
2014 — conf
Querying big graphs within bounded resources.
SIGMOD Conference
Wenfei Fan, Xin Wang, Yinghui Wu
2014 — conf
SLQ: a user-friendly graph querying system.
SIGMOD Conference
Shengqi Yang, Yanan Xie, Yinghui Wu, Tianyi Wu, Huan Sun, Jian Wu, Xifeng Yan
2014 J jnl
Schemaless and Structureless Graph Querying.
Proc. VLDB Endow.
Shengqi Yang, Yinghui Wu, Huan Sun, Xifeng Yan
2014 A* conf
Towards scalable critical alert mining.
KDD
Bo Zong, Yinghui Wu, Jie Song, Ambuj K. Singh, Hasan Çam, Jiawei Han, Xifeng Yan
2013 J jnl
Diversified Top-k Graph Pattern Matching.
Proc. VLDB Endow.
Wenfei Fan, Xin Wang, Yinghui Wu
2013 A* conf
ExpFinder: Finding experts by graph pattern matching.
ICDE
Wenfei Fan, Xin Wang, Yinghui Wu
2013 J jnl
Incremental graph pattern matching.
ACM Trans. Database Syst.
Wenfei Fan, Xin Wang, Yinghui Wu
2013 J jnl
NeMa: Fast Graph Search with Label Similarity.
Proc. VLDB Endow.
Arijit Khan, Yinghui Wu, Charu C. Aggarwal, Xifeng Yan
2013 J jnl
On the aggregation problem for synthesized Web services.
J. Comput. Syst. Sci.
Ting Deng, Wenfei Fan, Leonid Libkin, Yinghui Wu
2013 A* conf
Ontology-based subgraph querying.
ICDE
Yinghui Wu, Shengqi Yang, Xifeng Yan
2013 J jnl
Summarizing Answer Graphs Induced by Keyword Queries.
Proc. VLDB Endow.
Yinghui Wu, Shengqi Yang, Mudhakar Srivatsa, Arun Iyengar, Xifeng Yan
2012 J jnl
Adding regular expressions to graph reachability and pattern queries.
Frontiers Comput. Sci.
Wenfei Fan, Jianzhong Li, Shuai Ma, Nan Tang, Yinghui Wu
2012 A* conf
Emerging Graph Queries in Linked Data.
ICDE
Arijit Khan, Yinghui Wu, Xifeng Yan
2012 J jnl
Inferring the Underlying Structure of Information Cascades
CoRR
Bo Zong, Yinghui Wu, Ambuj K. Singh, Xifeng Yan
2012 A* conf
Inferring the Underlying Structure of Information Cascades.
ICDM
Bo Zong, Yinghui Wu, Ambuj K. Singh, Xifeng Yan
2012 J jnl
Performance Guarantees for Distributed Reachability Queries
CoRR
Wenfei Fan, Xin Wang, Yinghui Wu
2012 J jnl
Performance Guarantees for Distributed Reachability Queries.
Proc. VLDB Endow.
Wenfei Fan, Xin Wang, Yinghui Wu
2012 — conf
Query preserving graph compression.
SIGMOD Conference
Wenfei Fan, Jianzhong Li, Xin Wang, Yinghui Wu
2011 A* conf
Adding regular expressions to graph reachability and pattern queries.
ICDE
Wenfei Fan, Jianzhong Li, Shuai Ma, Nan Tang, Yinghui Wu
2011 — —
Extending graph homomorphism and simulation for real life graph matching.
Yinghui Wu
2011 — conf
Incremental graph pattern matching.
SIGMOD Conference
Wenfei Fan, Jianzhong Li, Jizhou Luo, Zijing Tan, Xin Wang, Yinghui Wu
2010 J jnl
Graph Homomorphism Revisited for Graph Matching.
Proc. VLDB Endow.
Wenfei Fan, Jianzhong Li, Shuai Ma, Hongzhi Wang, Yinghui Wu
2010 J jnl
Graph Pattern Matching: From Intractable to Polynomial Time.
Proc. VLDB Endow.
Wenfei Fan, Jianzhong Li, Shuai Ma, Nan Tang, Yinghui Wu, Yunpeng Wu
2010 A conf
On the aggregation problem for synthesized web services.
ICDT
Ting Deng, Wenfei Fan, Leonid Libkin, Yinghui Wu
2008 J jnl
Propagating functional dependencies with conditions.
Proc. VLDB Endow.
Wenfei Fan, Shuai Ma, Yanli Hu, Jie Liu, Yinghui Wu