Software reliability prediction via relevance vector regression. - Jungang Lou; Yunliang Jiang; Qing Shen; Zhangguo Shen; Zhen Wang 008; Ruiqin Wang (Neurocomputing, 2016)

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)

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)

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)

TDR: Two-stage deep recommendation model based on mSDA and DNN. - Ruiqin Wang; Yunliang Jiang; Jungang Lou (Expert Syst. Appl., 2020)

A Location Privacy-Preserving System Based on Query Range Cover-Up or Location-Based Services. - Zongda Wu; Ruiqin Wang; Qi Li 025; Xinze Lian; Guandong Xu; Enhong Chen; Xiyang Liu (IEEE Trans. Veh. Technol., 2020)

Screening with Limited Information: The Minimax Theorem and a Geometric Approach. - Zhi Chen; Zhenyu Hu; Ruiqin Wang (WINE, 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)

ADCF: Attentive representation learning and deep collaborative filtering model. - Ruiqin Wang; Yunliang Jiang; Jungang Lou (Knowl. Based Syst., 2021)

Joint Low-rank and Orthogonal Deep Multi-view Subspace Clustering based on Local Fusion. - Guixiang Wang; Hongwei Yin; Wenjun Hu; Yong Liu; Ruiqin Wang (ICDM (Workshops), 2022)

Session-based recommendation with time-aware neural attention network. - Ruiqin Wang; Jungang Lou; Yunliang Jiang (Expert Syst. Appl., 2022)

Attention-based dynamic user modeling and Deep Collaborative filtering recommendation. - Ruiqin Wang; Zongda Wu; Jungang Lou; Yunliang Jiang (Expert Syst. Appl., 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 001 (Ind. Robot, 2022)

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)

Low saliency crack detection based on improved multimodal object detection network: an example of wind turbine blade inner surface. - Yinfeng Gao; Shijie Dai; Wenbin Ji; Ruiqin Wang (J. Electronic Imaging, 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., 2023)

LightGCAN: A lightweight graph convolutional attention network for user preference modeling and personalized recommendation. - Ruiqin Wang; Jungang Lou; Yunliang Jiang (Expert Syst. Appl., 2023)

Screening with Limited Information: A Dual Perspective. - Zhi Chen 016; Zhenyu Hu; Ruiqin Wang (Oper. Res., 2024)

HSFE: A hierarchical spatial-temporal feature enhanced framework for traffic flow forecasting. - Jungang Lou; Xinye Zhang; Ruiqin Wang; Zhenfang Liu; Kang Zhao; Qing Shen (Inf. Sci., 2024)

Modified dual attention triplet-supervised hashing network for image retrieval. - Xinmin Cheng; Jingwen Chen; Ruiqin Wang (Signal Image Video Process., 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., 2024)

ClipCap+ +: An efficient image captioning approach via image encoder optimization and LLM fine-tuning. - Ruiqin Wang; Ye Wu; Zhenzhen Sheng (Appl. Soft Comput., 2025)

Adaptive population sizing for multi-population based constrained multi-objective optimization. - Ye Tian 009; Ruiqin Wang; Yajie Zhang; Xingyi Zhang 001 (Neurocomputing, 2025)

MLGFENet: Multiscale Local-Global Feature Enhancement Network for High-Resolution Remote Sensing Image Change Detection. - Huanhuan Lv; Xianqi Yan; Hui Zhang; Cuiping Shi; Ruiqin Wang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

STADGCN: spatial-temporal adaptive dynamic graph convolutional network for traffic flow prediction. - Ying Shi; Wentian Cui; Ruiqin Wang; Jungang Lou; Qing Shen (Neural Comput. Appl., 2025)

LRAT: Low-Rank Adaptive Transformer for end-to-end speech recognition. - Xinmin Cheng; Yuyang Wu; Ruiqin Wang (Signal Image Video Process., 2025)