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2020 – today
- 2026
[j10]Weicheng Sun, Ping Zhang, Li Li:
Progressive fusion networks with adaptive graph structure learning for cancer subtype classification. Neural Networks 195: 108284 (2026)- [j9]Weicheng Sun
, Ping Zhang, Jinsheng Xu, Weihan Zhang, Yongbin Zeng, Li Li:
Bridging attention fusion-based multi-view graph neural networks for spatial gene expression prediction. Pattern Recognit. 171: 112207 (2026) - 2024
- [j8]Weicheng Sun, Jinsheng Xu, Weihan Zhang, Xuelian Li, Yongbin Zeng, Ping Zhang:
Funnel graph neural networks with multi-granularity cascaded fusing for protein-protein interaction prediction. Expert Syst. Appl. 257: 125030 (2024) - [j7]Jinsheng Xu, Weicheng Sun, Kai Li, Wenxue Zhang, Weihan Zhang, Yongbin Zeng, Leon Wong, Ping Zhang:
MNESEDA: A prior-guided subgraph representation learning framework for predicting disease-related enhancers. Knowl. Based Syst. 294: 111734 (2024) - [j6]Weicheng Sun, Xingfu Zhang:
Revealing Water Storage Changes and Ecological Water Conveyance Benefits in the Tarim River Basin over the Past 20 Years Based on GRACE/GRACE-FO. Remote. Sens. 16(23): 4355 (2024) - [j5]Weicheng Sun, Chengjuan Ren, Jinsheng Xu, Ping Zhang:
SAGCN: Using Graph Convolutional Network With Subgraph-Aware for circRNA-Drug Sensitivity Identification. IEEE ACM Trans. Comput. Biol. Bioinform. 21(6): 1765-1774 (2024) - 2023
- [j4]Guodong Li, Weicheng Sun, Jinsheng Xu, Lun Hu, Weihan Zhang, Ping Zhang:
GA-ENs: A novel drug-target interactions prediction method by incorporating prior Knowledge Graph into dual Wasserstein Generative Adversarial Network with gradient penalty. Appl. Soft Comput. 139: 110151 (2023) - [j3]Kai Li, Ping Zhang, Zilin Wang, Wei Shen, Weicheng Sun, Jinsheng Xu, Zi Wen, Li Li:
iEnhance: a multi-scale spatial projection encoding network for enhancing chromatin interaction data resolution. Briefings Bioinform. 24(4) (2023) - [j2]Ping Zhang, Weicheng Sun, Dengguo Wei, Guodong Li, Jinsheng Xu, Zhuhong You, Bowei Zhao, Li Li:
PDA-PRGCN: identification of Piwi-interacting RNA-disease associations through subgraph projection and residual scaling-based feature augmentation. BMC Bioinform. 24(1): 18 (2023) - 2022
- [j1]Guodong Li, Ping Zhang, Weicheng Sun, Chengjuan Ren, Lei Wang:
Bridging-BPs: a novel approach to predict potential drug-target interactions based on a bridging heterogeneous graph and BPs2vec. Briefings Bioinform. 23(2) (2022)
2010 – 2019
- 2014
- [c1]Wei Bai, Li Chen, Kai Chen, Dongsu Han, Chen Tian, Weicheng Sun:
PIAS: Practical Information-Agnostic Flow Scheduling for Data Center Networks. HotNets 2014: 25:1-25:7
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