Yinghui Wu

Orcid: 0000-0003-3991-5155

According to our database1, Yinghui Wu authored at least 106 papers between 1997 and 2024.

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Bibliography

2024
Spatio-Temporal Deep Graph Network for Event Detection, Localization, and Classification in Cyber-Physical Electric Distribution System.
IEEE Trans. Ind. Informatics, February, 2024

A bi-objective approach for the multi-skilled worker assignment of a hybrid assembly line-seru production system.
RAIRO Oper. Res., 2024

Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale.
CoRR, 2024

View-based Explanations for Graph Neural Networks.
CoRR, 2024

2023
Special Issue on Decision Making in Heterogeneous Network Data Scenarios and Applications.
World Wide Web (WWW), January, 2023

Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Data Imputation.
Proc. ACM Manag. Data, 2023

Multi-skilled worker assignment in seru production system for the trade-off between production efficiency and workload fairness.
Kybernetes, 2023

Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Timeseries Data Imputation.
CoRR, 2023

Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts.
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Fair Group Summarization with Graph Patterns.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Inconsistency Detection with Temporal Graph Functional Dependencies.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

GALE: Active Adversarial Learning for Erroneous Node Detection in Graphs.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Accelerating Time to Science using CRADLE: A Framework for Materials Data Science.
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

Selecting Top-k Data Science Models by Example Dataset.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Enhancing Scientific Image Classification through Multimodal Learning: Insights from Chest X-Ray and Atomic Force Microscopy Datasets.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Answering Why-Questions for Subgraph Queries.
IEEE Trans. Knowl. Data Eng., 2022

A Stochastic Approach to Finding Densest Temporal Subgraphs in Dynamic Graphs.
IEEE Trans. Knowl. Data Eng., 2022

Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction.
IEEE Access, 2022

Diversified Subgraph Query Generation with Group Fairness.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems.
Proceedings of the Learning on Graphs Conference, 2022

RoboGNN: Robustifying Node Classification under Link Perturbation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Subgraph Query Generation with Fairness and Diversity Constraints.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

CRUX: Crowdsourced Materials Science Resource and Workflow Exploration.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

System-Auditing, Data Analysis and Characteristics of Cyber Attacks for Big Data Systems.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Anomaly Detection, Localization and Classification Using Drifting Synchrophasor Data Streams.
IEEE Trans. Smart Grid, 2021

GEDet: Detecting Erroneous Nodes with A Few Examples.
Proc. VLDB Endow., 2021

Temporal Graph Functional Dependencies - Technical Report.
CoRR, 2021

GRIP: Constraint-based Explanation of Missing Answers for Graph Queries.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Explaining Missing Data in Graphs: A Constraint-based Approach.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Spatiotemporal Graph Neural Network for Performance Prediction of Photovoltaic Power Systems.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Vamsa: Tracking Provenance in Data Science Scripts.
CoRR, 2020

Improving External Quantum Efficiency by Subwavelength Nano Multi-Layered Structures for Optoelectronic Devices.
IEEE Access, 2020

High-Speed Railway EMUs' Circulation Plan Optimization: A Two-Stage Optimization Algorithm Based on Column Generation.
IEEE Access, 2020

Vamsa: Automated Provenance Tracking in Data Science Scripts.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Kronos: Lightweight Knowledge-based Event Analysis in Cyber-Physical Data Streams.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Repairing Entities using Star Constraints in Multirelational Graphs.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

GEDet: Adversarially Learned Few-shot Detection of Erroneous Nodes in Graphs.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Graph Pattern Matching.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

Graph Exploration and Search.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

Ensemble-Based Algorithm for Synchrophasor Data Anomaly Detection.
IEEE Trans. Smart Grid, 2019

Ontology-based Entity Matching in Attributed Graphs.
Proc. VLDB Endow., 2019

Discovering Patterns for Fact Checking in Knowledge Graphs.
ACM J. Data Inf. Qual., 2019

Combining Local Search into Genetic Algorithm for Bus Schedule Coordination through Small Timetable Modifications.
Int. J. Intell. Transp. Syst. Res., 2019

Answering Why-questions by Exemplars in Attributed Graphs.
Proceedings of the 2019 International Conference on Management of Data, 2019

NAVIGATE: Explainable Visual Graph Exploration by Examples.
Proceedings of the 2019 International Conference on Management of Data, 2019

Attribute-Driven Backbone Discovery.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Answering Why-Questions for Subgraph Queries in Multi-attributed Graphs.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Finding Densest Lasting Subgraphs in Dynamic Graphs: A Stochastic Approach.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018
Mining Summaries for Knowledge Graph Search.
IEEE Trans. Knowl. Data Eng., 2018

From Think Parallel to Think Sequential.
SIGMOD Rec., 2018

Fact Checking in Knowledge Graphs with Ontological Subgraph Patterns.
Data Sci. Eng., 2018

Percolator: Scalable Pattern Discovery in Dynamic Graphs.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

GExp: Cost-aware Graph Exploration with Keywords.
Proceedings of the 2018 International Conference on Management of Data, 2018

Cyber Physical Security Analytics for Anomalies in Transmission Protection Systems.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2018

Multi-metric Graph Query Performance Prediction.
Proceedings of the Database Systems for Advanced Applications, 2018

Discovering Graph Patterns for Fact Checking in Knowledge Graphs.
Proceedings of the Database Systems for Advanced Applications, 2018

TGNet: Learning to Rank Nodes in Temporal Graphs.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Diversified Keyword Expansion on Multi-labeled Graphs.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

2017
GRAPE: Parallelizing Sequential Graph Computations.
Proc. VLDB Endow., 2017

GRAPE: Conducting Parallel Graph Computations without Developing Parallel Algorithms.
IEEE Data Eng. Bull., 2017

Performance Prediction for Graph Queries.
Proceedings of the 2nd International Workshop on Network Data Analytics, 2017

Parallelizing Sequential Graph Computations.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

BEAMS: Bounded Event Detection in Graph Streams.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Discovering Graph Temporal Association Rules.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Event pattern discovery by keywords in graph streams.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Learning to Speed Up Query Planning in Graph Databases.
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

2016
Answering Pattern Queries Using Views.
IEEE Trans. Knowl. Data Eng., 2016

Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs.
SIGKDD Explor., 2016

Functional Dependencies for Graphs.
Proceedings of the 2016 International Conference on Management of Data, 2016

Adding Counting Quantifiers to Graph Patterns.
Proceedings of the 2016 International Conference on Management of Data, 2016

Mining Summaries for Knowledge Graph Search.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Fast top-k search in knowledge graphs.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015
Association Rules with Graph Patterns.
Proc. VLDB Endow., 2015

Comparative analysis of operation strategies in schedule design for a fixed bus route.
Int. Trans. Oper. Res., 2015

2014
Schemaless and Structureless Graph Querying.
Proc. VLDB Endow., 2014

Distributed Graph Simulation: Impossibility and Possibility.
Proc. VLDB Endow., 2014

SLQ: a user-friendly graph querying system.
Proceedings of the International Conference on Management of Data, 2014

Querying big graphs within bounded resources.
Proceedings of the International Conference on Management of Data, 2014

Towards scalable critical alert mining.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Answering graph pattern queries using views.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2013
Incremental graph pattern matching.
ACM Trans. Database Syst., 2013

Summarizing Answer Graphs Induced by Keyword Queries.
Proc. VLDB Endow., 2013

NeMa: Fast Graph Search with Label Similarity.
Proc. VLDB Endow., 2013

Diversified Top-k Graph Pattern Matching.
Proc. VLDB Endow., 2013

On the aggregation problem for synthesized Web services.
J. Comput. Syst. Sci., 2013

Ontology-based subgraph querying.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

ExpFinder: Finding experts by graph pattern matching.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012
Performance Guarantees for Distributed Reachability Queries.
Proc. VLDB Endow., 2012

Adding regular expressions to graph reachability and pattern queries.
Frontiers Comput. Sci., 2012

Query preserving graph compression.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Inferring the Underlying Structure of Information Cascades.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Emerging Graph Queries in Linked Data.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2011
Extending graph homomorphism and simulation for real life graph matching.
PhD thesis, 2011

Incremental graph pattern matching.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

2010
Graph Homomorphism Revisited for Graph Matching.
Proc. VLDB Endow., 2010

Graph Pattern Matching: From Intractable to Polynomial Time.
Proc. VLDB Endow., 2010

2008
Propagating functional dependencies with conditions.
Proc. VLDB Endow., 2008

2004
TODS: cluster object storage platform designed for scalable services.
Future Gener. Comput. Syst., 2004

ONSP: Parallel Overlay Network Simulation Platform.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2004

2003
Robust image authentication using content based compression.
Multim. Syst., 2003

Feature extraction of volume data based on multi-scale representation.
Proceedings of the 1st International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia 2003, 2003

Improvement of Routing Structure in P2P Overlay Networks.
Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003

2002
A distributed persistent object store for scalable service.
ACM SIGOPS Oper. Syst. Rev., 2002

2001
Authentication of Volume Data Using Wavelet-Based Foveation.
Proceedings of the Eurographics Multimedia Workshop 2001, 2001

Robust Invisible Watermarking of Volume Data Using the 3D DCT.
Proceedings of the Computer Graphics International 2001 (CGI'01), 2001

1997
Dynamic Web Access for Collaborative Writing.
Proceedings of WebNet 97, 1997


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