Regularized DPSS preconditioners for generalized saddle point linear systems. - Yang Cao 014; Zhenquan Shi 001; Quan Shi (Comput. Math. Appl., 2020)

SDSCNN: A Hybrid Model Integrating Static and Dynamic Spatial Correlation Neural Network for Traffic Prediction. - Junming Dai; Jiashuang Huang; Qinqin Shen; Quan Shi; Siyun Feng; Zhenquan Shi 001 (IEEE Access, 2022)

A Hybrid Model Integrating Local and Global Spatial Correlation for Traffic Prediction. - Siyun Feng; Jiashuang Huang; Qinqin Shen; Quan Shi; Zhenquan Shi 001 (IEEE Access, 2022)

Attribute reduction with personalized information granularity of nearest mutual neighbors. - Hengrong Ju; Weiping Ding 001; Zhenquan Shi 001; Jiashuang Huang; Jie Yang 052; Xibei Yang (Inf. Sci., 2022)

SD-CNN: A static-dynamic convolutional neural network for functional brain networks. - Jiashuang Huang; Mingliang Wang; Hengrong Ju; Zhenquan Shi 001; Weiping Ding 001; Daoqiang Zhang (Medical Image Anal., 2023)

Spatial-Temporal Complex Graph Convolution Network for Traffic Flow Prediction. - Yinxin Bao; Jiashuang Huang; Qinqin Shen; Yang Cao 014; Weiping Ding 001; Zhenquan Shi 001; Quan Shi (Eng. Appl. Artif. Intell., 2023)

GCN-Based Encoder-Decoder Networks With Markov Random Field for Unsupervised Community Detection. - Fan Sun; Jiashuang Huang; Chang Guo; ZhenQuan Shi 001 (IEEE Access, 2024)

Heterogeneous Node Feature Learning Method Based on Low-Order and High-Order Joint Learning. - Bowen Wang; Jiashuang Huang; Chang Guo; Zhenquan Shi 001 (IEEE Access, 2024)

MGC-DMF: A traffic flow forecasting method based on multi-graph spatio-temporal convolution and dynamic metric fusion with multi-source basic information. - Ji Feng; Jiashuang Huang; Weiping Ding 001; Chang Guo; Zhenquan Shi 001 (Appl. Soft Comput., 2025)

A unified framework of semi-supervised community detection integrating network topology and node content. - Jinxin Cao; Weizhong Xu; Di Jin 001; Xiaofeng Zhang; Lu Liu 001; Anthony Miller; Zhenquan Shi 001; Weiping Ding 001 (Inf. Sci., 2025)

JLR-GCN: Joint label-aware and relation-aware graph convolution neural network for heterogeneous graph representations. - Zhenquan Shi 001; Wengjian Zhang; Jiashuang Huang; Weiping Ding 001 (Inf. Sci., 2025)

Connected Vehicles Traffic Prediction - Emerging GNN Methods - Quan Shi; Yinxin Bao; Qinqin Shen; Zhenquan Shi 001; Ruifeng Gao (Springer, 2025)

Multi-view fusion neural networks for heterogeneous graph representation learning. - Zhenquan Shi 001; Bowen Wang; Jiashuang Huang (Appl. Intell., 2025)