Ruiqin Wang

According to our database, Ruiqin Wang authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hyperspectral Image Classification Based on 3D-2D Hybrid Convolution and Graph Attention Mechanism.

Hui Zhang, Kaiping Tu, Huanhuan Lv, Ruiqin Wang

Neural Process. Lett., April, 2024

Modified dual attention triplet-supervised hashing network for image retrieval.

Xinmin Cheng, Jingwen Chen, Ruiqin Wang

Signal Image Video Process., 2024

2023

LightGCAN: A lightweight graph convolutional attention network for user preference modeling and personalized recommendation.

Ruiqin Wang, Jungang Lou, Yunliang Jiang

Expert Syst. Appl., December, 2023

Probabilistic Regularized Extreme Learning for Robust Modeling of Traffic Flow Forecasting.

Jungang Lou, Yunliang Jiang, Qing Shen, Ruiqin Wang, Zechao Li

IEEE Trans. Neural Networks Learn. Syst., April, 2023

Adaptive friction compensation control of robotic pneumatic end-effector based on LuGre model.

Shijie Dai, Shida Li, Wenbin Ji, Ruiqin Wang, Shuyuan Liu

Ind. Robot, 2023

2022

A humanoid robotic hand capable of internal assembly and measurement in spacesuit gloves.

Rui Bai, Rongjie Kang, Kun Shang, Chenghao Yang, Zhao Tang, Ruiqin Wang, Jian S. Dai

Ind. Robot, 2022

Attention-based dynamic user modeling and Deep Collaborative filtering recommendation.

Ruiqin Wang, Zongda Wu, Jungang Lou, Yunliang Jiang

Expert Syst. Appl., 2022

Session-based recommendation with time-aware neural attention network.

Ruiqin Wang, Jungang Lou, Yunliang Jiang

Expert Syst. Appl., 2022

Joint Low-rank and Orthogonal Deep Multi-view Subspace Clustering based on Local Fusion.

Guixiang Wang, Hongwei Yin, Wenjun Hu, Yong Liu, Ruiqin Wang

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

ADCF: Attentive representation learning and deep collaborative filtering model.

Ruiqin Wang, Yunliang Jiang, Jungang Lou

Knowl. Based Syst., 2021

Attention-based dynamic user preference modeling and nonlinear feature interaction learning for collaborative filtering recommendation.

Ruiqin Wang, Yunliang Jiang, Jungang Lou

Appl. Soft Comput., 2021

Screening with Limited Information: The Minimax Theorem and a Geometric Approach.

Zhi Chen, Zhenyu Hu, Ruiqin Wang

Proceedings of the Web and Internet Economics - 17th International Conference, 2021

2020

A Location Privacy-Preserving System Based on Query Range Cover-Up or Location-Based Services.

Zongda Wu, Ruiqin Wang, Qi Li, Xinze Lian, Guandong Xu, Enhong Chen, Xiyang Liu

IEEE Trans. Veh. Technol., 2020

TDR: Two-stage deep recommendation model based on mSDA and DNN.

Ruiqin Wang, Yunliang Jiang, Jungang Lou

Expert Syst. Appl., 2020

An adaptive multi-domain feature joint optimization framework based on composite kernels and ant colony optimization for motor imagery EEG classification.

Minmin Miao, Wenbin Zhang, Wenjun Hu, Ruiqin Wang

Biomed. Signal Process. Control., 2020

2019

A novel matrix factorization model for recommendation with LOD-based semantic similarity measure.

Ruiqin Wang, Hsing Kenneth Cheng, Yunliang Jiang, Jungang Lou

Expert Syst. Appl., 2019

2018

Failure prediction by relevance vector regression with improved quantum-inspired gravitational search.

Jungang Lou, Yunliang Jiang, Qing Shen, Ruiqin Wang

J. Netw. Comput. Appl., 2018

2016

Software reliability prediction via relevance vector regression.

Jungang Lou, Yunliang Jiang, Qing Shen, Zhangguo Shen, Zhen Wang, Ruiqin Wang

Neurocomputing, 2016