Efficient processing of twig query with compound predicates in fuzzy XML. - Jian Liu 028; Zong Min Ma 001; Ruizhe Ma (Fuzzy Sets Syst., 2013)

A data-driven analysis of interplanetary coronal mass ejecta and magnetic flux ropes. - Ruizhe Ma; Rafal A. Angryk; Pete Riley (IEEE BigData, 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 time series classification-based approach for solar flare prediction. - Shah Muhammad Hamdi; Dustin Kempton; Ruizhe Ma; Soukaina Filali Boubrahimi; Rafal A. Angryk (IEEE BigData, 2017)

Solar flare prediction using multivariate time series decision trees. - Ruizhe Ma; Soukaina Filali Boubrahimi; Shah Muhammad Hamdi; Rafal A. Angryk (IEEE BigData, 2017)

Distance and Density Clustering for Time Series Data. - Ruizhe Ma; Rafal A. Angryk (ICDM Workshops, 2017)

RDF approximate queries based on semantic similarity. - Li Yan 001; Ruizhe Ma; Dazhen Li; Jingwei Cheng (Computing, 2017)

Neuro-Ensemble. - Soukaina Filali Boubrahimi; Ruizhe Ma; Berkay Aydin; Rafal A. Angryk (AIKE, 2018)

Segmentation of Time Series in Improving Dynamic Time Warping. - Ruizhe Ma; Azim Ahmadzadeh; Soukaina Filali Boubrahimi; Rafal A. Angryk (IEEE BigData, 2018)

Time Series Distance Density Cluster with Statistical Preprocessing. - Ruizhe Ma; Soukaina Filali Boubrahimi; Rafal A. Angryk (DaWaK, 2018)

Neuro-Ensemble for Time Series Data Classification. - Soukaina Filali Boubrahimi; Ruizhe Ma; Rafal A. Angryk (DSAA, 2018)

Design Exploration of Small Bit-Width Multipliers Using Approximate Logic Design (ALD) Tool. - Haroon Waris; Weiqiang Liu 001; Pengfei Huang; Ruizhe Ma; Chenghua Wang; Fabrizio Lombardi (DSP, 2018)

Scalable kNN Search Approximation for Time Series Data. - Soukaina Filali Boubrahimi; Ruizhe Ma; Berkay Aydin; Shah Muhammad Hamdi; Rafal A. Angryk (ICPR, 2018)

A Hardware/Software Co-design Method for Approximate Semi-Supervised K-Means Clustering. - Pengfei Huang; Chenghua Wang; Ruizhe Ma; Weiqiang Liu 001; Fabrizio Lombardi (ISVLSI, 2018)

Solar Pre-Flare Classification with Time Series Profiling. - Ruizhe Ma; Azim Ahmadzadeh; Soukaina Filali Boubrahimi; Manolis K. Georgoulis; Rafal A. Angryk (IEEE BigData, 2019)

A Scalable Segmented Dynamic Time Warping for Time Series Classification. - Ruizhe Ma; Azim Ahmadzadeh; Soukaïna Filali Boubrahimi; Rafal A. Angryk (ICAISC (2), 2019)

A Shapelet Transform Classification over Uncertain Time Series. - Ruizhe Ma; Liangli Zuo; Li Yan 001 (J. Comput. Inf. Technol., 2019)

On the Mining of the Minimal Set of Time Series Data Shapelets. - Soukaina Filali Boubrahimi; Shah Muhammad Hamdi; Ruizhe Ma; Rafal A. Angryk (IEEE BigData, 2020)

Fast Online Similarity Search for Uncertain Time Series. - Ruizhe Ma; Diwei Zheng; Li Yan 001 (J. Comput. Inf. Technol., 2020)

A Hybrid Approach for Clustering Uncertain Time Series. - Ruizhe Ma; Xiaoping Zhu; Li Yan 001 (J. Comput. Inf. Technol., 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; et al. (CoRR, 2020)

Tiered Clustering for Time Series Data. - Ruizhe Ma; Rafal A. Angryk (Deep-BDB, 2021)

Two-stage prediction of machinery fault trend based on deep learning for time series analysis. - Hongling Xu; Ruizhe Ma; Li Yan 001; Zong-Min Ma 001 (Digit. Signal Process., 2021)

Machinery Fault Diagnosis Based on Deep Learning for Time Series Analysis and Knowledge Graphs. - Haiying Liu; Ruizhe Ma; Daiyi Li; Li Yan 001; Zongmin Ma 001 (J. Signal Process. Syst., 2021)

Message Parsing Based on Structure Description in IoT for Electric Power and Energy Systems. - Ruizhe Ma; Chong Tan; Hong Liu; Min Zheng (CCWC, 2022)

TS-MIoU: A Time Series Similarity Metric Without Mapping. - Azim Ahmadzadeh; Yang Chen; Krishna Rukmini Puthucode; Ruizhe Ma; Rafal A. Angryk (ECML/PKDD (6), 2022)

Topic relevance and temporal activity-aware influence maximization in social network. - Wei Jia; Ruizhe Ma; Weinan Niu; Li Yan 001; Zongmin Ma 001 (Appl. Intell., 2022)

TT-graph: A new model for building social network graphs from texts with time series. - Wei Jia; Ruizhe Ma; Li Yan 001; Weinan Niu; Zongmin Ma 001 (Expert Syst. Appl., 2022)

A Temporal JSON Data Model and Its Query Languages. - Ruizhe Ma; Zhangbing Hu; Li Yan 001 (J. Database Manag., 2022)

Special issue on deep learning for time series data. - Ruizhe Ma; Rafal A. Angryk; Rafal Scherer (Neural Comput. Appl., 2022)

Modeling and Management of Fuzzy Semantic RDF Data - Zongmin Ma 001; Guanfeng Li; Ruizhe Ma (Springer, 2022)

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 (ACE, 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 (SIGCSE (1), 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 (SIGCSE (2), 2023)

T-GAE: A Timespan-aware Graph Attention-based Embedding Model for Temporal Knowledge Graph Completion. - Xiangning Hou; Ruizhe Ma; Li Yan 001; Zongmin Ma 001 (Inf. Sci., 2023)

Spatiotemporal Prediction Based on Feature Classification for Multivariate Floating-Point Time Series Lossy Compression. - Huimin Feng; Ruizhe Ma; Li Yan 001; Zongmin Ma 001 (Big Data Res., 2023)

DAuCNet: deep autoregressive framework for temporal link prediction combining copy mechanism network. - Xiangning Hou; Ruizhe Ma; Li Yan 001; Zongmin Ma 001 (Knowl. Inf. Syst., 2023)

Modeling and querying temporal RDF knowledge graphs with relational databases. - Ruizhe Ma; Xiao Han; Li Yan 001; Nasrullah Khan; Zong Min Ma 001 (J. Intell. Inf. Syst., 2023)

RDF(S) Store in Object-Relational Databases. - Zongmin Ma; Daiyi Li; Jiawen Lu; Ruizhe Ma; Li Yan 001 (J. Database Manag., 2023)

An Efficient NoSQL-Based Storage Schema for Large-Scale Time Series Data. - Ruizhe Ma; Weiwei Zhou; Zong-Min Ma 001 (J. Database Manag., 2023)

MCD: Multi-stage Catalytic Distillation for Time Series Forecasting. - Ruizhe Ma; Cheng Zhang 007; Yue Kang; Xiaofei Wang 001; Chao Qiu (DASFAA (5), 2024)

Time-aware structure matching for temporal knowledge graph alignment. - Wei Jia; Ruizhe Ma; Li Yan 001; Weinan Niu; Zongmin Ma 001 (Data Knowl. Eng., 2024)

SFTe: Temporal knowledge graphs embedding for future interaction prediction. - Wei Jia; Ruizhe Ma; Weinan Niu; Li Yan 001; Zongmin Ma 001 (Inf. Syst., 2024)

Document-level relation extraction with global and path dependencies. - Wei Jia; Ruizhe Ma; Li Yan 001; Weinan Niu; Zongmin Ma 001 (Knowl. Based Syst., 2024)

Continual knowledge graph embedding enhancement for joint interaction-based next click recommendation. - Nasrullah Khan; Zong Min Ma 001; Ruizhe Ma; Kemal Polat (Knowl. Based Syst., 2024)

Robformer: A robust decomposition transformer for long-term time series forecasting. - Yang Yu; Ruizhe Ma; Zongmin Ma 001 (Pattern Recognit., 2024)

AI MyData: Fostering Middle School Students' Engagement with Machine Learning through an Ethics-Infused AI Curriculum. - Ismaila Temitayo Sanusi; Fred Martin; Ruizhe Ma; Joseph E. Gonzales; Vaishali Mahipal; Solomon Sunday Oyelere; Jarkko Suhonen; Markku Tukiainen (ACM Trans. Comput. Educ., 2024)

Joint entity and relation extraction with table filling based on graph convolutional Networks. - Wei Jia; Ruizhe Ma; Li Yan 001; Weinan Niu; Zong-Min Ma 001 (Expert Syst. Appl., 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 001; Zongmin Ma 001 (Inf. Process. Manag., 2025)