Ruizhe Ma

57 papers B 4C 1Journal 34Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
FPSO-Time: A Fuzzy Time Series Forecasting Method Based on Fuzzy Particle Swarm Optimization and Reprogrammed Large Language Models.
IEEE Trans. Fuzzy Syst.
Wenbo Gu, Ruizhe Ma, Yang Yu, Zongmin Ma
2026 J jnl
Spatiotemporal knowledge graph multi-hop reasoning based on large language models.
Eng. Appl. Artif. Intell.
Xinyu Liang, Xiaobei Xu, Ruizhe Ma, Li Yan, Zong-Min Ma
2026 J jnl
Temporal knowledge graphs forecasting based on explainable temporal relation tree-graph.
Neural Networks
Qihong Wu, Ruizhe Ma, Yuan Cheng, Li Yan, Zong Min Ma
2026 J jnl
Time-aware knowledge graph reasoning for machinery fault prediction.
Comput. Ind. Eng.
Ruizhe Ma, Hongling Xu, Xiaoping Lu, Xingzhi Feng, Zong Min Ma
2025 B conf
Cross-Operator Cooperation Energy-Efficient Method in Mobile Edge Networks.
IWQoS
Jingchao Tan, Ruizhe Ma, Honglei Zheng, Xu Meng, Yue Huang, Chao Qiu, Xiaofei Wang
2025 J jnl
DiffAT: Effective data augmentation with diffusion models for time series forecasting.
Eng. Appl. Artif. Intell.
Yang Yu, Ruizhe Ma, Wenbo Gu, Zong Min Ma
2025 J jnl
Joint entity and relation extraction with table filling based on graph convolutional Networks.
Expert Syst. Appl.
Wei Jia, Ruizhe Ma, Li Yan, Weinan Niu, Zong-Min Ma
2025 J jnl
Reasoning temporal knowledge graph through neighboring and historical information aggregation.
Knowl. Inf. Syst.
Wei Jia, Ruizhe Ma, Xiaoping Lu, Chao Wang, Weinan Niu, Zong-Min Ma
2025 J jnl
Spatial and temporal twin-guided pattern recurrent graph network for implementing reasoning of spatiotemporal knowledge graph.
Inf. Process. Manag.
Xiaobei Xu, Ruizhe Ma, Beijing Zhou, Li Yan, Zongmin Ma
2025 J jnl
f-KGQA: A fuzzy question answering system for knowledge graphs.
Fuzzy Sets Syst.
Ruizhe Ma, Yunxing Liu, Zongmin Ma
2024 J jnl
AI MyData: Fostering Middle School Students' Engagement with Machine Learning through an Ethics-Infused AI Curriculum.
ACM Trans. Comput. Educ.
Ismaila Temitayo Sanusi, Fred Martin, Ruizhe Ma, Joseph E. Gonzales, Vaishali Mahipal, Solomon Sunday Oyelere, Jarkko Suhonen, Markku Tukiainen
2024 J jnl
Continual knowledge graph embedding enhancement for joint interaction-based next click recommendation.
Knowl. Based Syst.
Nasrullah Khan, Zong Min Ma, Ruizhe Ma, Kemal Polat
2024 J jnl
Document-level relation extraction with global and path dependencies.
Knowl. Based Syst.
Wei Jia, Ruizhe Ma, Li Yan, Weinan Niu, Zongmin Ma
2024 — conf
MCD: Multi-stage Catalytic Distillation for Time Series Forecasting.
DASFAA (5)
Ruizhe Ma, Cheng Zhang, Yue Kang, Xiaofei Wang, Chao Qiu
2024 J jnl
Robformer: A robust decomposition transformer for long-term time series forecasting.
Pattern Recognit.
Yang Yu, Ruizhe Ma, Zongmin Ma
2024 J jnl
SFTe: Temporal knowledge graphs embedding for future interaction prediction.
Inf. Syst.
Wei Jia, Ruizhe Ma, Weinan Niu, Li Yan, Zongmin Ma
2024 J jnl
Time-aware structure matching for temporal knowledge graph alignment.
Data Knowl. Eng.
Wei Jia, Ruizhe Ma, Li Yan, Weinan Niu, Zongmin Ma
2023 J jnl
An Efficient NoSQL-Based Storage Schema for Large-Scale Time Series Data.
J. Database Manag.
Ruizhe Ma, Weiwei Zhou, Zong-Min Ma
2023 J jnl
DAuCNet: deep autoregressive framework for temporal link prediction combining copy mechanism network.
Knowl. Inf. Syst.
Xiangning Hou, Ruizhe Ma, Li Yan, Zongmin Ma
2023 — conf
Developing Machine Learning Algorithm Literacy with Novel Plugged and Unplugged Approaches.
SIGCSE (1)
Ruizhe Ma, Ismaila Temitayo Sanusi, Vaishali Mahipal, Joseph E. Gonzales, Fred G. Martin
2023 — conf
DoodleIt: A Beginner's Tool for Understanding Image Recognition.
SIGCSE (2)
Vaishali Mahipal, Srija Ghosh, Ismaila Temitayo Sanusi, Ruizhe Ma, Joseph E. Gonzales, Fred G. Martin
2023 C conf
DoodleIt: A Novel Tool and Approach for Teaching How CNNs Perform Image Recognition.
ACE
Vaishali Mahipal, Srija Ghosh, Ismaila Temitayo Sanusi, Ruizhe Ma, Joseph E. Gonzales, Fred G. Martin
2023 J jnl
Modeling and querying temporal RDF knowledge graphs with relational databases.
J. Intell. Inf. Syst.
Ruizhe Ma, Xiao Han, Li Yan, Nasrullah Khan, Zong Min Ma
2023 J jnl
RDF(S) Store in Object-Relational Databases.
J. Database Manag.
Zongmin Ma, Daiyi Li, Jiawen Lu, Ruizhe Ma, Li Yan
2023 J jnl
Spatiotemporal Prediction Based on Feature Classification for Multivariate Floating-Point Time Series Lossy Compression.
Big Data Res.
Huimin Feng, Ruizhe Ma, Li Yan, Zongmin Ma
2023 J jnl
T-GAE: A Timespan-aware Graph Attention-based Embedding Model for Temporal Knowledge Graph Completion.
Inf. Sci.
Xiangning Hou, Ruizhe Ma, Li Yan, Zongmin Ma
2022 J jnl
A Temporal JSON Data Model and Its Query Languages.
J. Database Manag.
Ruizhe Ma, Zhangbing Hu, Li Yan
2022 — conf
Message Parsing Based on Structure Description in IoT for Electric Power and Energy Systems.
CCWC
Ruizhe Ma, Chong Tan, Hong Liu, Min Zheng
2022 — book
Modeling and Management of Fuzzy Semantic RDF Data
Zongmin Ma, Guanfeng Li, Ruizhe Ma
2022 J jnl
Special issue on deep learning for time series data.
Neural Comput. Appl.
Ruizhe Ma, Rafal A. Angryk, Rafal Scherer
2022 — conf
TS-MIoU: A Time Series Similarity Metric Without Mapping.
ECML/PKDD (6)
Azim Ahmadzadeh, Yang Chen, Krishna Rukmini Puthucode, Ruizhe Ma, Rafal A. Angryk
2022 J jnl
TT-graph: A new model for building social network graphs from texts with time series.
Expert Syst. Appl.
Wei Jia, Ruizhe Ma, Li Yan, Weinan Niu, Zongmin Ma
2022 J jnl
Topic relevance and temporal activity-aware influence maximization in social network.
Appl. Intell.
Wei Jia, Ruizhe Ma, Weinan Niu, Li Yan, Zongmin Ma
2021 J jnl
Machinery Fault Diagnosis Based on Deep Learning for Time Series Analysis and Knowledge Graphs.
J. Signal Process. Syst.
Haiying Liu, Ruizhe Ma, Daiyi Li, Li Yan, Zongmin Ma
2021 — conf
Tiered Clustering for Time Series Data.
Deep-BDB
Ruizhe Ma, Rafal A. Angryk
2021 J jnl
Two-stage prediction of machinery fault trend based on deep learning for time series analysis.
Digit. Signal Process.
Hongling Xu, Ruizhe Ma, Li Yan, Zong-Min Ma
2020 J jnl
A Hybrid Approach for Clustering Uncertain Time Series.
J. Comput. Inf. Technol.
Ruizhe Ma, Xiaoping Zhu, Li Yan
2020 J jnl
Fast Online Similarity Search for Uncertain Time Series.
J. Comput. Inf. Technol.
Ruizhe Ma, Diwei Zheng, Li Yan
2020 J jnl
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations.
CoRR
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 G. 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
2020 — conf
On the Mining of the Minimal Set of Time Series Data Shapelets.
IEEE BigData
Soukaina Filali Boubrahimi, Shah Muhammad Hamdi, Ruizhe Ma, Rafal A. Angryk
2019 — conf
A Scalable Segmented Dynamic Time Warping for Time Series Classification.
ICAISC (2)
Ruizhe Ma, Azim Ahmadzadeh, Soukaïna Filali Boubrahimi, Rafal A. Angryk
2019 J jnl
A Shapelet Transform Classification over Uncertain Time Series.
J. Comput. Inf. Technol.
Ruizhe Ma, Liangli Zuo, Li Yan
2019 — conf
Solar Pre-Flare Classification with Time Series Profiling.
IEEE BigData
Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Manolis K. Georgoulis, Rafal A. Angryk
2018 — conf
A Hardware/Software Co-design Method for Approximate Semi-Supervised K-Means Clustering.
ISVLSI
Pengfei Huang, Chenghua Wang, Ruizhe Ma, Weiqiang Liu, Fabrizio Lombardi
2018 — conf
Design Exploration of Small Bit-Width Multipliers Using Approximate Logic Design (ALD) Tool.
DSP
Haroon Waris, Weiqiang Liu, Pengfei Huang, Ruizhe Ma, Chenghua Wang, Fabrizio Lombardi
2018 B conf
Neuro-Ensemble for Time Series Data Classification.
DSAA
Soukaina Filali Boubrahimi, Ruizhe Ma, Rafal A. Angryk
2018 — conf
Neuro-Ensemble.
AIKE
Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Rafal A. Angryk
2018 B conf
Scalable kNN Search Approximation for Time Series Data.
ICPR
Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Shah Muhammad Hamdi, Rafal A. Angryk
2018 — conf
Segmentation of Time Series in Improving Dynamic Time Warping.
IEEE BigData
Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Rafal A. Angryk
2018 B conf
Time Series Distance Density Cluster with Statistical Preprocessing.
DaWaK
Ruizhe Ma, Soukaina Filali Boubrahimi, Rafal A. Angryk
2017 — conf
A time series classification-based approach for solar flare prediction.
IEEE BigData
Shah Muhammad Hamdi, Dustin Kempton, Ruizhe Ma, Soukaina Filali Boubrahimi, Rafal A. Angryk
2017 — conf
Distance and Density Clustering for Time Series Data.
ICDM Workshops
Ruizhe Ma, Rafal A. Angryk
2017 J jnl
RDF approximate queries based on semantic similarity.
Computing
Li Yan, Ruizhe Ma, Dazhen Li, Jingwei Cheng
2017 — conf
Solar flare prediction using multivariate time series decision trees.
IEEE BigData
Ruizhe Ma, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi, Rafal A. Angryk
2016 — conf
A data-driven analysis of interplanetary coronal mass ejecta and magnetic flux ropes.
IEEE BigData
Ruizhe Ma, Rafal A. Angryk, Pete Riley
2016 J jnl
SPARQL queries on RDF with fuzzy constraints and preferences.
J. Intell. Fuzzy Syst.
Ruizhe Ma, Xiangyue Jia, Jingwei Cheng, Rafal A. Angryk
2013 J jnl
Efficient processing of twig query with compound predicates in fuzzy XML.
Fuzzy Sets Syst.
Jian Liu, Zong Min Ma, Ruizhe Ma