Leveraging multidimensional features for policy opinion sentiment prediction. - Wenju Hou; Ying Li 004; Yijun Liu; Qianqian Li (Inf. Sci., 2022)

Feature Correspondences Increase and Hybrid Terms Optimization Warp for Image Stitching. - Yizhi Cong; Yan Wang 028; Wenju Hou; Wei Pang 001 (Entropy, 2023)

Multi-view learning framework for predicting unknown types of cancer markers via directed graph neural networks fitting regulatory networks. - Xin-Fei Wang; Lan Huang 002; Yan Wang 028; Ren-Chu Guan; Zhu-Hong You; Nan Sheng; Xuping Xie; Wenju Hou (Briefings Bioinform., 2024)

Graph pooling in graph neural networks: methods and their applications in omics studies. - Yan Wang 028; Wenju Hou; Nan Sheng; Ziqi Zhao; Jialin Liu; Lan Huang 002; Juexin Wang (Artif. Intell. Rev., 2024)

MMGAT: a graph attention network framework for ATAC-seq motifs finding. - Xiaotian Wu; Wenju Hou; Ziqi Zhao; Lan Huang 002; Nan Sheng; Qixing Yang; Shuangquan Zhang; Yan Wang 028 (BMC Bioinform., 2024)

HATZFS predicts pancreatic cancer driver biomarkers by hierarchical reinforcement learning and zero-forcing set. - Jie Hong; Wenju Hou; Nan Sheng; Chunman Zuo; Yan Wang 028 (Expert Syst. Appl., 2025)

PCG-CAM: Enhanced class activation map using principal components of gradients and its applications in brain MRI. - Lan Huang 002; Yangguang Shao; Wenju Hou; Hui Yang; Yan Wang 028; Nan Sheng; Yinglu Sun; Yao Wang 010 (Inf. Sci., 2025)

Self-Supervised Contrastive Learning on Attribute and Topology Graphs for Predicting Relationships Among lncRNAs, miRNAs and Diseases. - Lan Huang 002; Nan Sheng; Ling Gao; Lei Wang 121; Wenju Hou; Jie Hong; Yan Wang 028 (IEEE J. Biomed. Health Informatics, 2025)