A Novel Computational Method for Predicting LncRNA-Disease Associations from Heterogeneous Information Network with SDNE Embedding Model. - Ping Zhang 027; Bo-Wei Zhao; Leon Wong; Zhu-Hong You; Zhen-Hao Guo; Hai-Cheng Yi (ICIC (2), 2020)

Predicting LncRNA-miRNA Interactions via Network Embedding with Integrated Structure and Attribute Information. - Bo-Wei Zhao; Ping Zhang 027; Zhu-Hong You; Ji-Ren Zhou; Xiao Li 007 (ICIC (2), 2020)

A Multi-graph Deep Learning Model for Predicting Drug-Disease Associations. - Bo-Wei Zhao; Zhu-Hong You; Lun Hu; Leon Wong; Bo-Ya Ji; Ping Zhang 027 (ICIC (3), 2021)

MRLDTI: A Meta-path-Based Representation Learning Model for Drug-Target Interaction Prediction. - Bo-Wei Zhao; Lun Hu; Pengwei Hu 001; Zhu-Hong You; Xiao-Rui Su 001; Dong-Xu Li; Zhan-Heng Chen; Ping Zhang 027 (ICIC (2), 2022)

Bridging-BPs: a novel approach to predict potential drug-target interactions based on a bridging heterogeneous graph and BPs2vec. - Guodong Li; Ping Zhang 027; Weicheng Sun; Chengjuan Ren; Lei Wang (Briefings Bioinform., 2022)

GA-ENs: A novel drug-target interactions prediction method by incorporating prior Knowledge Graph into dual Wasserstein Generative Adversarial Network with gradient penalty. - Guodong Li; Weicheng Sun; Jinsheng Xu; Lun Hu; Weihan Zhang; Ping Zhang 027 (Appl. Soft Comput., 2023)

iEnhance: a multi-scale spatial projection encoding network for enhancing chromatin interaction data resolution. - Kai Li; Ping Zhang 027; Zilin Wang; Wei Shen; Weicheng Sun; Jinsheng Xu; Zi Wen; Li Li 057 (Briefings Bioinform., 2023)

PDA-PRGCN: identification of Piwi-interacting RNA-disease associations through subgraph projection and residual scaling-based feature augmentation. - Ping Zhang 027; Weicheng Sun; Dengguo Wei; Guodong Li; Jinsheng Xu; Zhuhong You; Bowei Zhao; Li Li 057 (BMC Bioinform., 2023)

Funnel graph neural networks with multi-granularity cascaded fusing for protein-protein interaction prediction. - Weicheng Sun; Jinsheng Xu; Weihan Zhang; Xuelian Li; Yongbin Zeng; Ping Zhang 027 (Expert Syst. Appl., 2024)

MNESEDA: A prior-guided subgraph representation learning framework for predicting disease-related enhancers. - Jinsheng Xu; Weicheng Sun; Kai Li; Wenxue Zhang; Weihan Zhang; Yongbin Zeng; Leon Wong; Ping Zhang 027 (Knowl. Based Syst., 2024)

SAGCN: Using Graph Convolutional Network With Subgraph-Aware for circRNA-Drug Sensitivity Identification. - Weicheng Sun; Chengjuan Ren; Jinsheng Xu; Ping Zhang 027 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

COCOA: A Framework for Fine-scale Mapping of Cell-type-specific Chromatin Compartments Using Epigenomic Information. - Kai Li; Ping Zhang 027; Jinsheng Xu; Zi Wen; Junying Zhang; Zhike Zi; Li Li 057 (Genom. Proteom. Bioinform., 2025)