Ruixin Ma

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 31

Top Topics

Convolutional Neural Networks

Relational Learning

Attention Mechanism

Top Venues

Expert Syst. Appl.

Future Gener. Comput. Syst.

Publications

Ruixin Ma, Xiaoru Wang, Cunxi Cao, Xiya Bu, Hao Wu, Liang Zhao
GLSEC: Global and local semantic-enhanced contrastive framework for knowledge graph completion. Expert Syst. Appl. 250 (2024)
Xu Yuan, Zixuan Chen, Xiya Bu, Zhengnan Gao, Liang Zhao, Ruixin Ma
Knowledge graph fine-grained network with attribute transfer for recommendation. Expert Syst. Appl. 257 (2024)
Ruixin Ma, Xiya Bu, Zixuan Chen, Huinan Wu, Yunlong Ma, Liang Zhao
Knowledge graph preference migration network for recommendation. Expert Syst. Appl. 237 (Part A) (2024)
Ruixin Ma, Hao Wu, Xiaoru Wang, Weihe Wang, Yunlong Ma, Liang Zhao
Multi-view semantic enhancement model for few-shot knowledge graph completion. Expert Syst. Appl. 238 (Part E) (2024)
Ruixin Ma, Yong Yin, Jing Chen, Rihao Chang
Multi-modal information fusion for LiDAR-based 3D object detection framework. Multim. Tools Appl. 83 (3) (2024)
Xu Yuan, Huinan Wu, Longfei Wang, Xiya Bu, Zhengnan Gao, Ruixin Ma
Attribute mining multi-view contrastive learning network for recommendation. Expert Syst. Appl. 253 (2024)
Liang Zhao, Chaoran Jia, Yu Shao, Zhanxin Gang, Rui Lin, Ruixin Ma
Enhancing Longitudinal Medical Image Segmentation through Spatial-temporal Fusion. BIBM (2023)
Ruixin Ma, Biao Mei, Yunlong Ma, Hongyan Zhang, Meihong Liu, Liang Zhao
One-shot relational learning for extrapolation reasoning on temporal knowledge graphs. Data Min. Knowl. Discov. 37 (4) (2023)
Ruixin Ma, Yunlong Ma, Hongyan Zhang, Biao Mei, Guangyue Lv, Liang Zhao
PANC: Prototype Augmented Neighbor Constraint instance completion in knowledge graphs. Expert Syst. Appl. 213 (Part) (2023)
Ruixin Ma, Mengfei Yu, Buyun Gao, Jiaqi Guo, Zhikui Chen, Liang Zhao
Enhancing Path Information with Reinforcement Learning for Few-shot Knowledge Graph Completion. ICPADS (2023)
Yuanzhe Zhang, Qiqiang Jin, Maohan Liang, Ruixin Ma, Ryan Wen Liu
Vessel Behavior Anomaly Detection Using Graph Attention Network. ICONIP (5) (2023)
Xiya Bu, Ruixin Ma
Multi-view Contrastive Learning Network for Recommendation. PRCV (9) (2023)
Dajin Zhang, Tong Xin, Xiangyan Xu, Yudong Wang, Meiyun Shi, Yajun Liu, Ruixin Ma, Hongyu Xue
Virtual Screening of Iridoids SGLT2 Inhibitors Based on Molecular Docking and Pharmacophore Model. BIBM (2023)
Ruixin Ma, Fangqing Guo, Zeyang Li, Liang Zhao
Knowledge Graph Random Neural Networks for Recommender Systems. Expert Syst. Appl. 201 (2022)
Ruixin Ma, Hongyan Zhang, Biao Mei, Guangyue Lv, Liang Zhao
SATCN: An Improved Temporal Convolutional Neural Network with Self Attention Mechanism for Knowledge Tracing. ICCSE (1) (2022)
Yue Zhao, Qi Liang, Ruixin Ma, Weizhi Nie, Yuting Su
JFLN: Joint Feature Learning Network for 2D sketch based 3D shape retrieval. J. Vis. Commun. Image Represent. 89 (2022)
Ruixin Ma, Guangyue Lv, Liang Zhao, Yunlong Ma, Hongyan Zhang, Xiaobin Liu
Multi-attention User Information Based Graph Convolutional Networks for Explainable Recommendation. KSEM (1) (2022)
Ruixin Ma, Junying Lou
CPGAN : An Efficient Architecture Designing for Text-to-Image Generative Adversarial Networks Based on Canonical Polyadic Decomposition. Sci. Program. 2021 (2021)
Ruixin Ma, Chuang Wang, Xin Li
CP Decomposition for Fast training of Bi-LSTM. DASC/PiCom/CBDCom/CyberSciTech (2021)
Ruixin Ma, Junying Lou, Peng Li, Jing Gao
Reconstruction of Generative Adversarial Networks in Cross Modal Image Generation with Canonical Polyadic Decomposition. Wirel. Commun. Mob. Comput. 2021 (2021)
Ruixin Ma, Zeyang Li, Fangqing Guo, Liang Zhao
Hybrid attention mechanism for few-shot relational learning of knowledge graphs. IET Comput. Vis. 15 (8) (2021)
Teragawa Shoryu, Lei Wang, Ruixin Ma
A Deep Neural Network Approach using Convolutional Network and Long Short Term Memory for Text Sentiment Classification. CSCWD (2021)
Ruixin Ma, Lin Zhang, Jingjing Li, Biao Mei, Yunlong Ma, Hongyan Zhang
DTKT: An Improved Deep Temporal Convolutional Network for Knowledge Tracing. ICCSE (2021)
Peng Xi, Ruixin Ma, Wenli Liu
Research on the Hydrophilicity of Non-Coal Kaolinite and Coal Kaolinite from the Viewpoint of Experiments and DFT Simulations. Symmetry 12 (7) (2020)
Peng Xi, Ruixin Ma, Wenli Liu
Study on the Crystal Structure of Coal Kaolinite and Non-Coal Kaolinite: Insights from Experiments and DFT Simulations. Symmetry 12 (7) (2020)
Ruixin Ma, Jingjing Li, Lin Zhang, Peng Xu, Hongyan Zhang
Educational practice of Industry-Education Integration Software Engineering based on HUAWEI DevCloud. ICCSE (2020)
Ruixin Ma, Kai Wang, Tie Qiu, Arun Kumar Sangaiah, Dan Lin, Hannan Bin Liaqat
Feature-based Compositing Memory Networks for Aspect-based Sentiment Classification in Social Internet of Things. Future Gener. Comput. Syst. 92 (2019)
Rongxin Bao, Xu Yuan, Zhikui Chen, Ruixin Ma
Cross-Entropy Pruning for Compressing Convolutional Neural Networks. Neural Comput. 30 (11) (2018)
Tie Qiu, Aoyang Zhao, Ruixin Ma, Victor Chang, Fangbing Liu, Zhangjie Fu
A task-efficient sink node based on embedded multi-core SoC for Internet of Things. Future Gener. Comput. Syst. 82 (2018)
Xiujuan Xu, Yu Liu, Ruixin Ma, Quan Z. Sheng
Collaboration Patterns at Scheduling in 10 Years. CDVE (2017)
Ruixin Ma, Qirui Li, Tie Qiu, Chen Chen, Arun Kumar Sangaiah
A Situation-Aware Road Emergency Navigation Mechanism Based on GPS and WSNs. QSHINE (2017)
Ruixin Ma, György Dósa, Xin Han, Hing-Fung Ting, Deshi Ye, Yong Zhang
A note on a selfish bin packing problem. J. Glob. Optim. 56 (4) (2013)
Yu Liu, Xiujuan Xu, Ruixin Ma
Service Science Knowledge System Bottom-up Constructed Closely with Service Industry. ICSS (2010)