Linear Active Disturbance Rejection Control for Double-Pendulum Overhead Cranes. - Lin Chai; Qihang Guo; Huikang Liu; Mingbo Ding (IEEE Access, 2021)

An Improved Three-Way K-Means Algorithm by Optimizing Cluster Centers. - Qihang Guo; Zhenyu Yin; Pingxin Wang (Symmetry, 2022)

Graph Neural Networks with Direct Reach to Labeled Nodes. - Qing Teng; Qihang Guo; Xibei Yang; Keyu Liu; Tianrui Li 001 (IJCRS (3), 2024)

Perturbation-augmented Graph Convolutional Networks: A Graph Contrastive Learning architecture for effective node classification tasks. - Qihang Guo; Xibei Yang; Fengjun Zhang; Taihua Xu (Eng. Appl. Artif. Intell., 2024)

Fuzzy feature factorization machine: Bridging feature interaction, selection, and construction. - Qihang Guo; Keyu Liu; Taihua Xu; Pingxin Wang; Xibei Yang (Expert Syst. Appl., 2024)

Purity Skeleton Dynamic Hypergraph Neural Network. - Yuge Wang; Xibei Yang; Qiguo Sun; Yuhua Qian; Qihang Guo (Neurocomputing, 2024)

Improving the Signal-to-Noise Ratio of Axial Displacement Measurements of Microspheres Based on Compound Digital Holography Microscopy Combined with the Reconstruction Centering Method. - Yanan Zeng; Qihang Guo; Xiaodong Hu; Junsheng Lu; Xiaopan Fan; Haiyun Wu; Xiao Xu; Jun Xie; Rui Ma (Sensors, 2024)

UMGCN: Updating multi-graph for graph convolutional networks. - Guoquan Zhu; Keyu Liu; Xibei Yang; Qihang Guo (Comput. Electr. Eng., 2025)

Feature-topology cascade perturbation for graph neural network. - Hui Cong; Xibei Yang; Keyu Liu; Qihang Guo (Eng. Appl. Artif. Intell., 2025)

Robust graph mutual-assistance convolutional networks for semi-supervised node classification tasks. - Qihang Guo; Xibei Yang; Wenrui Guan; Kai Ma; Yuhua Qian (Inf. Sci., 2025)

Collaborative graph neural networks for augmented graphs: A local-to-global perspective. - Qihang Guo; Xibei Yang; Ming Li 065; Yuhua Qian (Pattern Recognit., 2025)

Cross-Graph Interaction Networks. - Qihang Guo; Xibei Yang; Weiping Ding 001; Yuhua Qian (IEEE Trans. Knowl. Data Eng., 2025)