Ruizhe Ma

According to our database, Ruizhe Ma authored at least 46 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Spatial and temporal twin-guided pattern recurrent graph network for implementing reasoning of spatiotemporal knowledge graph.

Xiaobei Xu, Ruizhe Ma, Beijing Zhou, Li Yan, Zongmin Ma

Inf. Process. Manag., 2025

Joint entity and relation extraction with table filling based on graph convolutional Networks.

Wei Jia, Ruizhe Ma, Li Yan, Weinan Niu, Zong-Min Ma

Expert Syst. Appl., 2025

2024

Robformer: A robust decomposition transformer for long-term time series forecasting.

Yang Yu, Ruizhe Ma, Zongmin Ma

Pattern Recognit., 2024

Continual knowledge graph embedding enhancement for joint interaction-based next click recommendation.

Nasrullah Khan, Zong Min Ma, Ruizhe Ma, Kemal Polat

Knowl. Based Syst., 2024

Document-level relation extraction with global and path dependencies.

Wei Jia, Ruizhe Ma, Li Yan, Weinan Niu, Zongmin Ma

Knowl. Based Syst., 2024

SFTe: Temporal knowledge graphs embedding for future interaction prediction.

Wei Jia, Ruizhe Ma, Weinan Niu, Li Yan, Zongmin Ma

Inf. Syst., 2024

Time-aware structure matching for temporal knowledge graph alignment.

Wei Jia, Ruizhe Ma, Li Yan, Weinan Niu, Zongmin Ma

Data Knowl. Eng., 2024

MCD: Multi-stage Catalytic Distillation for Time Series Forecasting.

Ruizhe Ma, Cheng Zhang, Yue Kang, Xiaofei Wang, Chao Qiu

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Modeling and querying temporal RDF knowledge graphs with relational databases.

Ruizhe Ma, Xiao Han, Li Yan, Nasrullah Khan, Zong Min Ma

J. Intell. Inf. Syst., October, 2023

DAuCNet: deep autoregressive framework for temporal link prediction combining copy mechanism network.

Xiangning Hou, Ruizhe Ma, Li Yan, Zongmin Ma

Knowl. Inf. Syst., May, 2023

Spatiotemporal Prediction Based on Feature Classification for Multivariate Floating-Point Time Series Lossy Compression.

Huimin Feng, Ruizhe Ma, Li Yan, Zongmin Ma

Big Data Res., May, 2023

T-GAE: A Timespan-aware Graph Attention-based Embedding Model for Temporal Knowledge Graph Completion.

Xiangning Hou, Ruizhe Ma, Li Yan, Zongmin Ma

Inf. Sci., 2023

DoodleIt: A Beginner's Tool for Understanding Image Recognition.

Vaishali Mahipal, Srija Ghosh, Ismaila Temitayo Sanusi, Ruizhe Ma, Joseph E. Gonzales, Fred G. Martin

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Developing Machine Learning Algorithm Literacy with Novel Plugged and Unplugged Approaches.

Ruizhe Ma, Ismaila Temitayo Sanusi, Vaishali Mahipal, Joseph E. Gonzales, Fred G. Martin

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

DoodleIt: A Novel Tool and Approach for Teaching How CNNs Perform Image Recognition.

Vaishali Mahipal, Srija Ghosh, Ismaila Temitayo Sanusi, Ruizhe Ma, Joseph E. Gonzales, Fred G. Martin

Proceedings of the 25th Australasian Computing Education Conference, 2023

2022

Modeling and Management of Fuzzy Semantic RDF Data

Zongmin Ma, Guanfeng Li, Ruizhe Ma

Studies in Computational Intelligence 1057, Springer, ISBN: 978-3-031-11668-1, 2022

Special issue on deep learning for time series data.

Ruizhe Ma, Rafal A. Angryk, Rafal Scherer

Neural Comput. Appl., 2022

A Temporal JSON Data Model and Its Query Languages.

Ruizhe Ma, Zhangbing Hu, Li Yan

J. Database Manag., 2022

TT-graph: A new model for building social network graphs from texts with time series.

Wei Jia, Ruizhe Ma, Li Yan, Weinan Niu, Zongmin Ma

Expert Syst. Appl., 2022

Topic relevance and temporal activity-aware influence maximization in social network.

Wei Jia, Ruizhe Ma, Weinan Niu, Li Yan, Zongmin Ma

Appl. Intell., 2022

TS-MIoU: A Time Series Similarity Metric Without Mapping.

Azim Ahmadzadeh, Yang Chen, Krishna Rukmini Puthucode, Ruizhe Ma, Rafal A. Angryk

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Message Parsing Based on Structure Description in IoT for Electric Power and Energy Systems.

Ruizhe Ma, Chong Tan, Hong Liu, Min Zheng

Proceedings of the 12th IEEE Annual Computing and Communication Workshop and Conference, 2022

2021

Machinery Fault Diagnosis Based on Deep Learning for Time Series Analysis and Knowledge Graphs.

Haiying Liu, Ruizhe Ma, Daiyi Li, Li Yan, Zongmin Ma

J. Signal Process. Syst., 2021

Two-stage prediction of machinery fault trend based on deep learning for time series analysis.

Hongling Xu, Ruizhe Ma, Li Yan, Zong-Min Ma

Digit. Signal Process., 2021

Tiered Clustering for Time Series Data.

Ruizhe Ma, Rafal A. Angryk

Proceedings of the International Conference on Deep Learning, 2021

2020

Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations.

Gelu Nita, Manolis K. Georgoulis, Irina Kitiashvili, Viacheslav Sadykov, Enrico Camporeale, Alexander Kosovichev, Haimin Wang, Vincent Oria, Jason T. L. Wang, Rafal A. Angryk, Berkay Aydin, Azim Ahmadzadeh, Xiaoli Bai, Timothy Bastian, Soukaina Filali Boubrahimi, Bin Chen, Alisdair Davey, Sheldon Fereira, Gregory Fleishman, Dale Gary, Andrew Gerrard, Gregory Hellbourg, Katherine Herbert, Jack Ireland, Egor Illarionov, Natsuha Kuroda, Qin Li, Chang Liu, Yuexin Liu, Hyomin Kim, Dustin Kempton, Ruizhe Ma, Petrus C. Martens, Ryan M. McGranaghan, Edward Semones, John T. Stefan, Andrey Stejko, Yaireska Collado-Vega, Meiqi Wang, Yan Xu, Sijie Yu

CoRR, 2020

A Hybrid Approach for Clustering Uncertain Time Series.

Ruizhe Ma, Xiaoping Zhu, Li Yan

J. Comput. Inf. Technol., 2020

Fast Online Similarity Search for Uncertain Time Series.

Ruizhe Ma, Diwei Zheng, Li Yan

J. Comput. Inf. Technol., 2020

On the Mining of the Minimal Set of Time Series Data Shapelets.

Soukaina Filali Boubrahimi, Shah Muhammad Hamdi, Ruizhe Ma, Rafal A. Angryk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

A Shapelet Transform Classification over Uncertain Time Series.

Ruizhe Ma, Liangli Zuo, Li Yan

J. Comput. Inf. Technol., 2019

A Scalable Segmented Dynamic Time Warping for Time Series Classification.

Ruizhe Ma, Azim Ahmadzadeh, Soukaïna Filali Boubrahimi, Rafal A. Angryk

Proceedings of the Artificial Intelligence and Soft Computing, 2019

Solar Pre-Flare Classification with Time Series Profiling.

Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Manolis K. Georgoulis, Rafal A. Angryk

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

A Hardware/Software Co-design Method for Approximate Semi-Supervised K-Means Clustering.

Pengfei Huang, Chenghua Wang, Ruizhe Ma, Weiqiang Liu, Fabrizio Lombardi

Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018

Scalable kNN Search Approximation for Time Series Data.

Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Shah Muhammad Hamdi, Rafal A. Angryk

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Design Exploration of Small Bit-Width Multipliers Using Approximate Logic Design (ALD) Tool.

Haroon Waris, Weiqiang Liu, Pengfei Huang, Ruizhe Ma, Chenghua Wang, Fabrizio Lombardi

Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

Neuro-Ensemble for Time Series Data Classification.

Soukaina Filali Boubrahimi, Ruizhe Ma, Rafal A. Angryk

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Time Series Distance Density Cluster with Statistical Preprocessing.

Ruizhe Ma, Soukaina Filali Boubrahimi, Rafal A. Angryk

Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

Segmentation of Time Series in Improving Dynamic Time Warping.

Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Rafal A. Angryk

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Neuro-Ensemble.

Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Rafal A. Angryk

Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2018

2017

RDF approximate queries based on semantic similarity.

Li Yan, Ruizhe Ma, Dazhen Li, Jingwei Cheng

Computing, 2017

Distance and Density Clustering for Time Series Data.

Ruizhe Ma, Rafal A. Angryk

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Solar flare prediction using multivariate time series decision trees.

Ruizhe Ma, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi, Rafal A. Angryk

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

A time series classification-based approach for solar flare prediction.

Shah Muhammad Hamdi, Dustin Kempton, Ruizhe Ma, Soukaina Filali Boubrahimi, Rafal A. Angryk

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

SPARQL queries on RDF with fuzzy constraints and preferences.

Ruizhe Ma, Xiangyue Jia, Jingwei Cheng, Rafal A. Angryk

J. Intell. Fuzzy Syst., 2016

A data-driven analysis of interplanetary coronal mass ejecta and magnetic flux ropes.

Ruizhe Ma, Rafal A. Angryk, Pete Riley

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2013

Efficient processing of twig query with compound predicates in fuzzy XML.

Jian Liu, Zong Min Ma, Ruizhe Ma

Fuzzy Sets Syst., 2013