Xiangguo Zhao

Orcid: 0000-0002-5029-5658

According to our database1, Xiangguo Zhao authored at least 41 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A deformable convolutional time-series prediction network with extreme peak and interval calibration.
GeoInformatica, April, 2024

2023
Correlation embedding learning with dynamic semantic enhanced sampling for knowledge graph completion.
World Wide Web (WWW), September, 2023

Structure-adaptive graph neural network with temporal representation and residual connections.
World Wide Web (WWW), September, 2023

A new point-of-interest group recommendation method in location-based social networks.
Neural Comput. Appl., June, 2023

Temporal-structural importance weighted graph convolutional network for temporal knowledge graph completion.
Future Gener. Comput. Syst., June, 2023

EDense: a convolutional neural network with ELM-based dense connections.
Neural Comput. Appl., February, 2023

Boosting question answering over knowledge graph with reward integration and policy evaluation under weak supervision.
Inf. Process. Manag., 2023

Towards Time-Series Key Points Detection Through Self-supervised Learning and Probability Compensation.
Proceedings of the Database Systems for Advanced Applications, 2023

2022
An Uncertainty-based Neural Network for Explainable Trajectory Segmentation.
ACM Trans. Intell. Syst. Technol., 2022

Unrestricted multi-hop reasoning network for interpretable question answering over knowledge graph.
Knowl. Based Syst., 2022

A Medical Device Management System Using Smart Contract on Blockchain.
Proceedings of the 9th International Conference on Behavioural and Social Computing, 2022

Long-Term Time Series Prediction with Extreme Peak and Interval Calibration.
Proceedings of the 9th International Conference on Behavioural and Social Computing, 2022

2021
Explainable time-frequency convolutional neural network for microseismic waveform classification.
Inf. Sci., 2021

Time-Series Graph Network for Sea Surface Temperature Prediction.
Big Data Res., 2021

Multi-attributed Community Search in Road-social Networks.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
Annotating semantic tags of locations in location-based social networks.
GeoInformatica, 2020

Social-aware spatial keyword top-k group query.
Distributed Parallel Databases, 2020

GNEA: A Graph Neural Network with ELM Aggregator for Brain Network Classification.
Complex., 2020

Functional Brain Network Classification for Alzheimer's Disease Detection with Deep Features and Extreme Learning Machine.
Cogn. Comput., 2020

Efficient Mining of Hotspot Regional Patterns with Multi-Semantic Trajectories.
Big Data Res., 2020

CODES: Efficient Incremental Semi-Supervised Classification Over Drifting and Evolving Social Streams.
IEEE Access, 2020

Efficient Learning of Big ECG Data for Ventricular Fibrillation Warning.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

Frequent Semantic Trajectory Sequence Pattern Mining in Location-Based Social Networks.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019
Big graph classification frameworks based on Extreme Learning Machine.
Neurocomputing, 2019

LDPart: Effective Location-Record Data Publication via Local Differential Privacy.
IEEE Access, 2019

2018
ELM-based convolutional neural networks making move prediction in Go.
Soft Comput., 2018

A novel recommendation system in location-based social networks using distributed ELM.
Memetic Comput., 2018

A New Point-of-Interest Classification Model with an Extreme Learning Machine.
Cogn. Comput., 2018

Point-of-Interest Group Recommendation with an Extreme Learning Machine.
Proceedings of ELM 2018, 2018

Multi-location Influence Maximization in Location-Based Social Networks.
Proceedings of the Web and Big Data, 2018

2017
Efficient Processing of Distributed Twig Queries Based on Node Distribution.
J. Comput. Sci. Technol., 2017

FE-ELM: A New Friend Recommendation Model with Extreme Learning Machine.
Cogn. Comput., 2017

2016
Uncertain XML documents classification using Extreme Learning Machine.
Neurocomputing, 2016

2015
ELM based approximate dynamic cycle matching for homogeneous symmetric Pub/Sub system.
World Wide Web, 2015

Distributed Extreme Learning Machine with kernels based on MapReduce.
Neurocomputing, 2015

Distributed XML Twig Query Processing Using MapReduce.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

2014
Probability based voting extreme learning machine for multiclass XML documents classification.
World Wide Web, 2014

2012
Generalized Structural Holes Finding Algorithm by Bisection in Social Communities.
Proceedings of the 2012 Sixth International Conference on Genetic and Evolutionary Computing, 2012

2011
XML document classification based on ELM.
Neurocomputing, 2011

2010
Efficiently mining local conserved clusters from gene expression data.
Neurocomputing, 2010

2009
XML Functional Dependency and Schema Normalization.
Proceedings of the 9th International Conference on Hybrid Intelligent Systems (HIS 2009), 2009


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