Differential coexpression analysis in gene modules level and its application to type 2 diabetes. - Lin Yuan 001; Wen Sha; Jun Zhang 011; Chun-Hou Zheng 001; Junfeng Xia (BIBM, 2013)

Biweight Midcorrelation-Based Gene Differential Coexpression Analysis and Its Application to Type II Diabetes. - Lin Yuan 001; Wen Sha; Zhan-Li Sun; Chun-Hou Zheng 001 (ICIC (3), 2013)

Inferring Transcriptional Modules from Microarray and ChIP-Chip Data Using Penalized Matrix Decomposition. - Chun-Hou Zheng 001; Wen Sha; Zhan-Li Sun; Jun Zhang 011 (ICIC (2), 2013)

Robust PCA based method for discovering differentially expressed genes. - Jin-Xing Liu 001; Yutian Wang; Chun-Hou Zheng 001; Wen Sha; Jian-Xun Mi; Yong Xu 001 (BMC Bioinform., 2013)

Sparse maximum margin discriminant analysis for feature extraction and gene selection on gene expression data. - Yan Cui 007; Chun-Hou Zheng 001; Jian Yang 003; Wen Sha (Comput. Biol. Medicine, 2013)

Simulated Annealing Based Algorithm for Mutated Driver Pathways Detecting. - Chao Yan; Haitao Li 004; Ai-Xin Guo; Wen Sha; Chun-Hou Zheng 001 (ICIC (2), 2014)

Gene differential coexpression analysis based on biweight correlation and maximum clique. - Chun-Hou Zheng 001; Lin Yuan 001; Wen Sha; Zhan-Li Sun (BMC Bioinform., 2014)

Cancer Subtype Discovery Based on Integrative Model of Multigenomic Data. - Shu-Guang Ge; Junfeng Xia; Wen Sha; Chun-Hou Zheng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Quantitative Analysis of Phosphorus in Compound Fertilizer by Support Vector Machine. - Jiangtao Li; Wen Sha; Chunhou Zhen (ICRAI, 2018)

Quantitative Analysis of Elements in Fertilizer Using Laser-Induced Breakdown Spectroscopy Coupled with Support Vector Regression Model. - Wen Sha; Jiangtao Li; Wubing Xiao; Pengpeng Ling; Cuiping Lu (Sensors, 2019)

Univariate and Multivariate Analysis of Phosphorus Element in Fertilizers Using Laser-Induced Breakdown Spectroscopy. - Baohua Zhang; Pengpeng Ling; Wen Sha; Yongcheng Jiang; Zhifeng Cui (Sensors, 2019)

MDNet: Morphology-Driven Weakly Supervised Polyp Detection. - Jiajia Chen; Xuejun Zhang; Jie Gui; Xiuquan Du; Wen Sha (PRCV (15), 2024)

MFIS-Net: A Deep Learning Framework for Left Atrial Segmentation. - Jie Gui; Wen Sha; Xiuquan Du (PRCV (15), 2024)

Learning Frequency and Structure in UDA for Medical Object Detection. - Liwen Wang; Xiaoyan Zhang; Guannan He; Ying Tan; Shengli Li 001; Bin Pu; Zhe Jin; Wen Sha; Xingbo Dong (PRCV (14), 2024)

GCNet: Global Context-Guided Uncertainty Boundary for Polyp Segmentation. - Xuejun Zhang; Jiajia Chen; Jie Gui; Xiuquan Du; Wen Sha (PRCV (15), 2024)

Efficient one-stage location method for grape picking points in natural scene by combining detection network and point regression. - Shengyu Zhang; Kang Hu; Wen Sha; Qun Chen; Zhimeng Hou; Shizhuang Weng (Comput. Electron. Agric., 2025)

Reference-based image super-resolution of hyperspectral and red-green-blue image for determination of wheat kernel quality using deep learning networks. - Shizhuang Weng; Qiaoqiao Zhang; Kaixuan Han; Meijing Pan; Yujian Tan; Qun Chen; Feihong Wu; Cong Wang; Ling Zheng; Yu Lei; Wen Sha (Eng. Appl. Artif. Intell., 2025)

Lightweight omnidirectional super-resolution via frequency-spatial fusion and equirectangular projection correction. - Dezhi Li; Yonglin Chen; Xingbo Dong; Tiong-Sik Ng; Zhe Jin; Shengyuan Wang; Wen Sha (J. Electronic Imaging, 2025)

Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution. - Xufei Wang; Mingjian Zhang; Fei Ge; Jinchen Zhu; Wen Sha; Jifen Ren; Zhimeng Hou; Shouguo Zheng; ling Zheng; Shizhuang Weng (CoRR, 2025)