An Alternating Rank-K Nonnegative Least Squares Framework (ARkNLS) for Nonnegative Matrix Factorization. - Delin Chu; Wenya Shi; Srinivas Eswar; Haesun Park (CoRR, 2020)

An Adaptive Brain Storm Optimization Based on Hierarchical Learning for Community Detection. - Wenya Shi; Yifei Sun; Shi Cheng; Jie Yang; Xin Sun; Zhuo Liu; Yifei Cao; Jiale Ju; Ao Zhang (NCAA (1), 2023)

Hybrid Recommendation System with Graph Neural Collaborative Filtering and Local Self-attention Mechanism. - Ao Zhang; Yifei Sun; Shi Cheng; Jie Yang; Xin Sun; Zhuo Liu; Yifei Cao; Jiale Ju; Wenya Shi (NCAA (2), 2023)

Adaptive Hierarchical Clustering Based Student Group Exercise Recommendation via Multi-objective Evolutionary Method. - Ziang Wang 002; Yifei Sun; Yifei Cao; Jie Yang; Wenya Shi; Ao Zhang; Jiale Ju; Jihui Yin; Qiaosen Yan; Xinqi Yang (NCAA (1), 2024)

Perturbation analysis on PCA plus graph embedding methods and PCA plus exponential graph embedding methods. - Wenya Shi; Gang Wu (J. Comput. Appl. Math., 2024)

New algorithms for trace-ratio problem with application to high-dimension and large-sample data dimensionality reduction. - Wenya Shi; Gang Wu (Mach. Learn., 2024)

GCN-SA: a hybrid recommendation model based on graph convolutional network with embedding splicing layer. - Yifei Sun; Ao Zhang; Shi Cheng; Yifei Cao; Jie Yang; Wenya Shi; Jiale Ju; Jihui Yin; Qiaosen Yan; Xinqi Yang; Ziang Wang 002 (Neural Comput. Appl., 2024)

Graph neural networks adversarial attacks based on node gradient and importance score. - Yifei Sun 004; Jiale Ju; Shi Cheng; Jie Yang; Yifei Cao; Ao Zhang; Wenya Shi (Inf. Sci., 2025)

Low-rank decomposition optimization and its application in fabric defects. - Zhixiang Chen; Wenya Shi; Jiuzhen Liang; Hao Liu 060 (Soft Comput., 2025)

Adaptive optimization of low rank decomposition and its application on fabric defect detection. - Wenya Shi; Zhixiang Chen; Jiuzhen Liang; Daihong Jiang (Pattern Anal. Appl., 2025)