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ORCIDRuizhe Ma
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2020 – today
- 2025
[j23]Wei Jia, Ruizhe Ma, Li Yan, Weinan Niu, Zong-Min Ma:
Joint entity and relation extraction with table filling based on graph convolutional Networks. Expert Syst. Appl. 266: 126130 (2025)- [j22]Xiaobei Xu, Ruizhe Ma
, Beijing Zhou, Li Yan, Zongmin Ma:
Spatial and temporal twin-guided pattern recurrent graph network for implementing reasoning of spatiotemporal knowledge graph. Inf. Process. Manag. 62(1): 103942 (2025) - 2024
- [j21]Wei Jia, Ruizhe Ma, Li Yan, Weinan Niu, Zongmin Ma:
Time-aware structure matching for temporal knowledge graph alignment. Data Knowl. Eng. 151: 102300 (2024) - [j20]Wei Jia, Ruizhe Ma, Weinan Niu, Li Yan, Zongmin Ma:
SFTe: Temporal knowledge graphs embedding for future interaction prediction. Inf. Syst. 125: 102423 (2024) - [j19]Wei Jia, Ruizhe Ma, Li Yan, Weinan Niu, Zongmin Ma:
Document-level relation extraction with global and path dependencies. Knowl. Based Syst. 289: 111545 (2024) - [j18]Nasrullah Khan, Zong Min Ma, Ruizhe Ma, Kemal Polat:
Continual knowledge graph embedding enhancement for joint interaction-based next click recommendation. Knowl. Based Syst. 304: 112475 (2024) - [j17]Yang Yu, Ruizhe Ma, Zongmin Ma:
Robformer: A robust decomposition transformer for long-term time series forecasting. Pattern Recognit. 153: 110552 (2024) - [c21]Ruizhe Ma, Cheng Zhang, Yue Kang, Xiaofei Wang, Chao Qiu:
MCD: Multi-stage Catalytic Distillation for Time Series Forecasting. DASFAA (5) 2024: 514-525 - 2023
- [j16]Huimin Feng, Ruizhe Ma, Li Yan, Zongmin Ma:
Spatiotemporal Prediction Based on Feature Classification for Multivariate Floating-Point Time Series Lossy Compression. Big Data Res. 32: 100377 (2023) - [j15]Xiangning Hou, Ruizhe Ma, Li Yan, Zongmin Ma:
T-GAE: A Timespan-aware Graph Attention-based Embedding Model for Temporal Knowledge Graph Completion. Inf. Sci. 642: 119225 (2023) - [j14]Ruizhe Ma, Xiao Han, Li Yan, Nasrullah Khan, Zong Min Ma:
Modeling and querying temporal RDF knowledge graphs with relational databases. J. Intell. Inf. Syst. 61(2): 569-609 (2023) - [j13]Xiangning Hou, Ruizhe Ma, Li Yan, Zongmin Ma:
DAuCNet: deep autoregressive framework for temporal link prediction combining copy mechanism network. Knowl. Inf. Syst. 65(5): 2061-2085 (2023) - [c20]Vaishali Mahipal, Srija Ghosh, Ismaila Temitayo Sanusi, Ruizhe Ma, Joseph E. Gonzales, Fred G. Martin:
DoodleIt: A Novel Tool and Approach for Teaching How CNNs Perform Image Recognition. ACE 2023: 31-38 - [c19]Ruizhe Ma, Ismaila Temitayo Sanusi, Vaishali Mahipal, Joseph E. Gonzales, Fred G. Martin:
Developing Machine Learning Algorithm Literacy with Novel Plugged and Unplugged Approaches. SIGCSE (1) 2023: 298-304 - [c18]Vaishali Mahipal, Srija Ghosh, Ismaila Temitayo Sanusi, Ruizhe Ma, Joseph E. Gonzales, Fred G. Martin:
DoodleIt: A Beginner's Tool for Understanding Image Recognition. SIGCSE (2) 2023: 1329 - 2022
- [b1]Zongmin Ma, Guanfeng Li, Ruizhe Ma:
Modeling and Management of Fuzzy Semantic RDF Data. Studies in Computational Intelligence 1057, Springer 2022, ISBN 978-3-031-11668-1, pp. 1-207 - [j12]Wei Jia, Ruizhe Ma, Weinan Niu, Li Yan, Zongmin Ma:
Topic relevance and temporal activity-aware influence maximization in social network. Appl. Intell. 52(14): 16149-16167 (2022) - [j11]Wei Jia, Ruizhe Ma, Li Yan, Weinan Niu, Zongmin Ma:
TT-graph: A new model for building social network graphs from texts with time series. Expert Syst. Appl. 192: 116405 (2022) - [j10]Ruizhe Ma, Zhangbing Hu, Li Yan:
A Temporal JSON Data Model and Its Query Languages. J. Database Manag. 33(1): 1-29 (2022) - [j9]Ruizhe Ma, Rafal A. Angryk, Rafal Scherer:
Special issue on deep learning for time series data. Neural Comput. Appl. 34(16): 13147-13148 (2022) - [c17]Ruizhe Ma, Chong Tan, Hong Liu, Min Zheng:
Message Parsing Based on Structure Description in IoT for Electric Power and Energy Systems. CCWC 2022: 900-906 - [c16]Azim Ahmadzadeh, Yang Chen, Krishna Rukmini Puthucode, Ruizhe Ma, Rafal A. Angryk:
TS-MIoU: A Time Series Similarity Metric Without Mapping. ECML/PKDD (6) 2022: 87-102 - 2021
- [j8]Hongling Xu, Ruizhe Ma, Li Yan, Zong-Min Ma:
Two-stage prediction of machinery fault trend based on deep learning for time series analysis. Digit. Signal Process. 117: 103150 (2021) - [j7]Haiying Liu, Ruizhe Ma, Daiyi Li, Li Yan, Zongmin Ma:
Machinery Fault Diagnosis Based on Deep Learning for Time Series Analysis and Knowledge Graphs. J. Signal Process. Syst. 93(12): 1433-1455 (2021) - [c15]Ruizhe Ma, Rafal A. Angryk:
Tiered Clustering for Time Series Data. Deep-BDB 2021: 3-14 - 2020
- [j6]Ruizhe Ma, Diwei Zheng, Li Yan:
Fast Online Similarity Search for Uncertain Time Series. J. Comput. Inf. Technol. 28(1): 1-17 (2020) - [j5]Ruizhe Ma, Xiaoping Zhu, Li Yan:
A Hybrid Approach for Clustering Uncertain Time Series. J. Comput. Inf. Technol. 28(4): 255-267 (2020) - [c14]Soukaina Filali Boubrahimi, Shah Muhammad Hamdi, Ruizhe Ma, Rafal A. Angryk:
On the Mining of the Minimal Set of Time Series Data Shapelets. IEEE BigData 2020: 493-502 - [i1]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:
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations. CoRR abs/2006.12224 (2020)
2010 – 2019
- 2019
- [j4]Ruizhe Ma, Liangli Zuo, Li Yan:
A Shapelet Transform Classification over Uncertain Time Series. J. Comput. Inf. Technol. 27(3): 15-28 (2019) - [c13]Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Manolis K. Georgoulis, Rafal A. Angryk:
Solar Pre-Flare Classification with Time Series Profiling. IEEE BigData 2019: 4967-4976 - [c12]Ruizhe Ma, Azim Ahmadzadeh, Soukaïna Filali Boubrahimi, Rafal A. Angryk:
A Scalable Segmented Dynamic Time Warping for Time Series Classification. ICAISC (2) 2019: 407-419 - 2018
- [c11]Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Rafal A. Angryk:
Neuro-Ensemble. AIKE 2018: 54-61 - [c10]Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Rafal A. Angryk:
Segmentation of Time Series in Improving Dynamic Time Warping. IEEE BigData 2018: 3756-3761 - [c9]Ruizhe Ma, Soukaina Filali Boubrahimi, Rafal A. Angryk:
Time Series Distance Density Cluster with Statistical Preprocessing. DaWaK 2018: 371-381 - [c8]Soukaina Filali Boubrahimi, Ruizhe Ma, Rafal A. Angryk:
Neuro-Ensemble for Time Series Data Classification. DSAA 2018: 50-59 - [c7]Haroon Waris, Weiqiang Liu, Pengfei Huang, Ruizhe Ma, Chenghua Wang, Fabrizio Lombardi:
Design Exploration of Small Bit-Width Multipliers Using Approximate Logic Design (ALD) Tool. DSP 2018: 1-5 - [c6]Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Shah Muhammad Hamdi, Rafal A. Angryk:
Scalable kNN Search Approximation for Time Series Data. ICPR 2018: 970-975 - [c5]Pengfei Huang, Chenghua Wang, Ruizhe Ma, Weiqiang Liu, Fabrizio Lombardi:
A Hardware/Software Co-design Method for Approximate Semi-Supervised K-Means Clustering. ISVLSI 2018: 575-580 - 2017
- [j3]Li Yan, Ruizhe Ma, Dazhen Li, Jingwei Cheng:
RDF approximate queries based on semantic similarity. Computing 99(5): 481-491 (2017) - [c4]Shah Muhammad Hamdi, Dustin Kempton, Ruizhe Ma, Soukaina Filali Boubrahimi, Rafal A. Angryk:
A time series classification-based approach for solar flare prediction. IEEE BigData 2017: 2543-2551 - [c3]Ruizhe Ma, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi, Rafal A. Angryk:
Solar flare prediction using multivariate time series decision trees. IEEE BigData 2017: 2569-2578 - [c2]Ruizhe Ma, Rafal A. Angryk:
Distance and Density Clustering for Time Series Data. ICDM Workshops 2017: 25-32 - 2016
- [j2]Ruizhe Ma, Xiangyue Jia, Jingwei Cheng, Rafal A. Angryk:
SPARQL queries on RDF with fuzzy constraints and preferences. J. Intell. Fuzzy Syst. 30(1): 183-195 (2016) - [c1]Ruizhe Ma, Rafal A. Angryk, Pete Riley:
A data-driven analysis of interplanetary coronal mass ejecta and magnetic flux ropes. IEEE BigData 2016: 3177-3186 - 2013
- [j1]Jian Liu, Zong Min Ma, Ruizhe Ma:
Efficient processing of twig query with compound predicates in fuzzy XML. Fuzzy Sets Syst. 229: 33-53 (2013)
Coauthor Index
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last updated on 2025-01-20 23:01 CET by the dblp team
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