Spatial Gene Expression Prediction Using Hierarchical Sparse Attention. - Cui Chen; Zuping Zhang 001; Panrui Tang (ICONIP (10), 2023)

SLG-NET: Subgraph Neural Network with Local-Global Braingraph Feature Extraction Modules and a Novel Subgraph Generation Algorithm for Automated Identification of Major Depressive Disorder. - Yan Zhang; Xin Liu; Panrui Tang; Zuping Zhang 001 (ICONIP (4), 2023)

SGMDD: Subgraph Neural Network-Based Model for Analyzing Functional Connectivity Signatures of Major Depressive Disorder. - Yan Zhang; Xin Liu; Panrui Tang; Zuping Zhang 001 (ISBRA, 2023)

Nebnet: Exploiting Node-Edge Bi-Level Network for Gene Expression Prediction. - Cui Chen; Zuping Zhang 001; Panrui Tang; Junyu Zhang (ICASSP, 2024)

DCQNet: Collaborative Camouflaged Object Detection Using Cross-Sample and Cross-Scale Network. - Panrui Tang; Zuping Zhang 001; Yubin Sheng; Bo Huang; Yao Xiao; Lin Shen (IJCNN, 2024)

Spatial Gene Expression Prediction Using Multi-Neighborhood Network with Reconstructing Attention. - Panrui Tang; Zuping Zhang 001; Cui Chen; Yubin Sheng (PKDD (4), 2024)

EDAW: Enhanced Knowledge Distillation and Adaptive Pseudo Label Weights for Continual Named Entity Recognition. - Yubin Sheng; Zuping Zhang; Panrui Tang; Bo Huang; Yao Xiao (SMC, 2024)

Edge-relational window-attentional graph neural network for gene expression prediction in spatial transcriptomics analysis. - Cui Chen; Zuping Zhang 001; Panrui Tang; Xin Liu; Bo Huang (Comput. Biol. Medicine, 2024)

AFMDD: Analyzing Functional Connectivity Feature of Major Depressive Disorder by Graph Neural Network-Based Model. - Yan Zhang; Xin Liu; Panrui Tang; Zuping Zhang (J. Comput. Biol., 2025)