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2020 – today
- 2025
[j7]Jie Hong
, Wenju Hou, Nan Sheng, Chunman Zuo, Yan Wang:
HATZFS predicts pancreatic cancer driver biomarkers by hierarchical reinforcement learning and zero-forcing set. Expert Syst. Appl. 260: 125435 (2025)- [j6]Lan Huang, Nan Sheng, Ling Gao, Lei Wang, Wenju Hou, Jie Hong, Yan Wang:
Self-Supervised Contrastive Learning on Attribute and Topology Graphs for Predicting Relationships Among lncRNAs, miRNAs and Diseases. IEEE J. Biomed. Health Informatics 29(1): 657-668 (2025) - 2024
- [j5]Yan Wang, Wenju Hou, Nan Sheng, Ziqi Zhao, Jialin Liu, Lan Huang, Juexin Wang:
Graph pooling in graph neural networks: methods and their applications in omics studies. Artif. Intell. Rev. 57(11): 294 (2024) - [j4]Xin-Fei Wang, Lan Huang, Yan Wang, Ren-Chu Guan, Zhu-Hong You, Nan Sheng, Xuping Xie, Wenju Hou:
Multi-view learning framework for predicting unknown types of cancer markers via directed graph neural networks fitting regulatory networks. Briefings Bioinform. 25(6) (2024) - [j3]Xiaotian Wu, Wenju Hou, Ziqi Zhao, Lan Huang, Nan Sheng, Qixing Yang, Shuangquan Zhang, Yan Wang:
MMGAT: a graph attention network framework for ATAC-seq motifs finding. BMC Bioinform. 25(1): 158 (2024) - 2023
- [j2]Yizhi Cong, Yan Wang, Wenju Hou, Wei Pang:
Feature Correspondences Increase and Hybrid Terms Optimization Warp for Image Stitching. Entropy 25(1): 106 (2023) - 2022
- [j1]Wenju Hou, Ying Li, Yijun Liu, Qianqian Li:
Leveraging multidimensional features for policy opinion sentiment prediction. Inf. Sci. 610: 215-234 (2022)
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