Constrained transformer network for ECG signal processing and arrhythmia classification. - Chao Che; Peiliang Zhang; Min Zhu; Yue Qu; Bo Jin 001 (BMC Medical Informatics Decis. Mak., 2021)

DeepMGT-DTI: Transformer network incorporating multilayer graph information for Drug-Target interaction prediction. - Peiliang Zhang; Ziqi Wei 001; Chao Che; Bo Jin 001 (Comput. Biol. Medicine, 2022)

KSGTN-DDI: Key Substructure-aware Graph Transformer Network for Drug-drug Interaction Prediction. - Peiliang Zhang; Yuanjie Liu; Zhishu Shen (BIBM, 2023)

CariesFG: A fine-grained RGB image classification framework with attention mechanism for dental caries. - Hao Jiang; Peiliang Zhang; Chao Che; Bo Jin 001; Yongjun Zhu (Eng. Appl. Artif. Intell., 2023)

IEA-GNN: Anchor-aware graph neural network fused with information entropy for node classification and link prediction. - Peiliang Zhang; Jiatao Chen; Chao Che; Liang Zhang 031; Bo Jin 001; Yongjun Zhu (Inf. Sci., 2023)

B-LBConA: a medical entity disambiguation model based on Bio-LinkBERT and context-aware mechanism. - Siyu Yang; Peiliang Zhang; Chao Che; Zhaoqian Zhong (BMC Bioinform., 2023)

Key Substructure Learning with Chemical Intuition for Material Property Prediction. - Peiliang Zhang; Jingling Yuan; Lin Li 001; Wen Luo; Jiwei Hu; Xin Li 064 (DASFAA (7), 2024)

JSCDS: A Core Data Selection Method with Jason-Shannon Divergence for Caries RGB Images-Efficient Learning. - Peiliang Zhang; Yujia Tong; Chenghu Du; Chao Che; Yongjun Zhu (CoRR, 2024)

SDDSynergy: Learning Important Molecular Substructures for Explainable Anticancer Drug Synergy Prediction. - Yunjiong Liu; Peiliang Zhang; Chao Che; Ziqi Wei 001 (J. Chem. Inf. Model., 2024)

NCH-DDA: Neighborhood contrastive learning heterogeneous network for drug-disease association prediction. - Peiliang Zhang; Chao Che; Bo Jin 001; Jingling Yuan; Ruixin Li; Yongjun Zhu (Expert Syst. Appl., 2024)

Legal Judgment Prediction via graph boosting with constraints. - Suxin Tong; Jingling Yuan; Peiliang Zhang; Lin Li 001 (Inf. Process. Manag., 2024)

Zero-Shot Learning for Materials Science Texts: Leveraging Duck Typing Principles. - Xin Zhang; Peiliang Zhang; Jingling Yuan; Lin Li 001 (AAAI, 2025)

Audio-Visual Instance Segmentation. - Ruohao Guo; Xianghua Ying; Yaru Chen; Dantong Niu; Guangyao Li; Liao Qu; Yanyu Qi; Jinxing Zhou; Bowei Xing; Wenzhen Yue; Ji Shi 003; Qixun Wang 002; et al. (CVPR, 2025)

TeMTG: Text-Enhanced Multi-Hop Temporal Graph Modeling for Audio-Visual Video Parsing. - Yaru Chen; Peiliang Zhang; Fei Li 022; Faegheh Sardari; Ruohao Guo; Zhenbo Li; Wenwu Wang 001 (ICMR, 2025)

Core Inter-Category Contrastive Learning for Enhancing Robustness of Caries Classification. - Peiliang Zhang; Yaru Chen; Yunjiong Liu; Chao Che; Yongjun Zhu (ICMR, 2025)

MGTNSyn: Molecular structure-aware graph transformer network with relational attention for drug synergy prediction. - Yunjiong Liu; Peiliang Zhang; Dongyang Li; Chao Che; Bo Jin (Expert Syst. Appl., 2025)

Multi-Category Fusion Contrastive Learning with Core Data Selection for Robust RGB Image-based Dental Caries Classification. - Peiliang Zhang; Yaru Chen; Yunjiong Liu; Chao Che; Yongjun Zhu (Inf. Fusion, 2025)

Representational Alignment with Chemical Induced Fit for Molecular Relational Learning. - Peiliang Zhang; Jingling Yuan; Qing Xie 002; Yongjun Zhu; Lin Li 001 (CoRR, 2025)

AGFF: Attention-Gated Feature Fusion for Multi-Pose Virtual Try-On. - Chenghu Du; Peiliang Zhang; Junyin Wang; Shengwu Xiong 001 (IEEE Trans. Consumer Electron., 2025)