Ruiqin Wang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Preference Model

Collaborative Filtering

Top Venues

Expert Syst. Appl.

Biomed. Signal Process. Control.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Hui Zhang, Kaiping Tu, Huanhuan Lv, Ruiqin Wang
Hyperspectral Image Classification Based on 3D-2D Hybrid Convolution and Graph Attention Mechanism. Neural Process. Lett. 56 (2) (2024)
Xinmin Cheng, Jingwen Chen, Ruiqin Wang
Modified dual attention triplet-supervised hashing network for image retrieval. Signal Image Video Process. 18 (2) (2024)
Jungang Lou, Xinye Zhang, Ruiqin Wang, Zhenfang Liu, Kang Zhao, Qing Shen
HSFE: A hierarchical spatial-temporal feature enhanced framework for traffic flow forecasting. Inf. Sci. 679 (2024)
Jungang Lou, Yunliang Jiang, Qing Shen, Ruiqin Wang, Zechao Li
Probabilistic Regularized Extreme Learning for Robust Modeling of Traffic Flow Forecasting. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Shijie Dai, Shida Li, Wenbin Ji, Ruiqin Wang, Shuyuan Liu
Adaptive friction compensation control of robotic pneumatic end-effector based on LuGre model. Ind. Robot 50 (5) (2023)
Ruiqin Wang, Jungang Lou, Yunliang Jiang
LightGCAN: A lightweight graph convolutional attention network for user preference modeling and personalized recommendation. Expert Syst. Appl. 232 (2023)
Ruiqin Wang, Jungang Lou, Yunliang Jiang
Session-based recommendation with time-aware neural attention network. Expert Syst. Appl. 210 (2022)
Rui Bai, Rongjie Kang, Kun Shang, Chenghao Yang, Zhao Tang, Ruiqin Wang, Jian S. Dai
A humanoid robotic hand capable of internal assembly and measurement in spacesuit gloves. Ind. Robot 49 (4) (2022)
Ruiqin Wang, Zongda Wu, Jungang Lou, Yunliang Jiang
Attention-based dynamic user modeling and Deep Collaborative filtering recommendation. Expert Syst. Appl. 188 (2022)
Guixiang Wang, Hongwei Yin, Wenjun Hu, Yong Liu, Ruiqin Wang
Joint Low-rank and Orthogonal Deep Multi-view Subspace Clustering based on Local Fusion. ICDM (Workshops) (2022)
Ruiqin Wang, Yunliang Jiang, Jungang Lou
ADCF: Attentive representation learning and deep collaborative filtering model. Knowl. Based Syst. 227 (2021)
Zhi Chen, Zhenyu Hu, Ruiqin Wang
Screening with Limited Information: The Minimax Theorem and a Geometric Approach. WINE (2021)
Ruiqin Wang, Yunliang Jiang, Jungang Lou
Attention-based dynamic user preference modeling and nonlinear feature interaction learning for collaborative filtering recommendation. Appl. Soft Comput. 110 (2021)
Ruiqin Wang, Yunliang Jiang, Jungang Lou
TDR: Two-stage deep recommendation model based on mSDA and DNN. Expert Syst. Appl. 145 (2020)
Minmin Miao, Wenbin Zhang, Wenjun Hu, Ruiqin Wang
An adaptive multi-domain feature joint optimization framework based on composite kernels and ant colony optimization for motor imagery EEG classification. Biomed. Signal Process. Control. 61 (2020)
Zongda Wu, Ruiqin Wang, Qi Li, Xinze Lian, Guandong Xu, Enhong Chen, Xiyang Liu
A Location Privacy-Preserving System Based on Query Range Cover-Up or Location-Based Services. IEEE Trans. Veh. Technol. 69 (5) (2020)
Ruiqin Wang, Hsing Kenneth Cheng, Yunliang Jiang, Jungang Lou
A novel matrix factorization model for recommendation with LOD-based semantic similarity measure. Expert Syst. Appl. 123 (2019)
Jungang Lou, Yunliang Jiang, Qing Shen, Ruiqin Wang
Failure prediction by relevance vector regression with improved quantum-inspired gravitational search. J. Netw. Comput. Appl. 103 (2018)
Jungang Lou, Yunliang Jiang, Qing Shen, Zhangguo Shen, Zhen Wang, Ruiqin Wang
Software reliability prediction via relevance vector regression. Neurocomputing 186 (2016)