A Novel Routing Algorithm for Energy-Efficient in Wireless Sensor Networks. - Miao Xie; Ting-lei Huang; Xiaoshu Zhu (WGEC, 2009)

Application Research of Data Mining Techniques in P2P Network. - Xiaoshu Zhu; Miao Xie; Tang Lu (WGEC, 2009)

Strategies to enhance computer assisted differential diagnosis in Traditional Chinese Medicine for Coronary Heart Disease: Validity and standardisation of a diagnostic instrument. - Laura Duck; Xiaoshu Zhu; Stefania Penkala; Anthony J. Maeder (BIBM Workshops, 2010)

Electronic Medical Record Information System for Patient Consultations in Chinese Medicine. - Heidi Bjering; Athula Ginige; Anthony J. Maeder; Alan Bensoussan; Xiaoshu Zhu; Charles Lattuca (HIC, 2011)

Efficient kNN classification algorithm for big data. - Zhenyun Deng; Xiaoshu Zhu; Debo Cheng; Ming Zong; Shichao Zhang 001 (Neurocomputing, 2016)

A multi-objective biclustering algorithm based on fuzzy mathematics. - Xiaoshu Zhu; Jie Qiu; Miao Xie; Jianxin Wang 001 (Neurocomputing, 2017)

基于压缩感知的图像处理算法研究 (Research on Image Processing Algorithm Based on Compressed Sensing). - Zhao Lu; Xiaoshu Zhu (计算机科学, 2017)

Multi-objective differential evolution with dynamic covariance matrix learning for multi-objective optimization problems with variable linkages. - Qiaoyong Jiang; Lei Wang 030; Jiatang Cheng; Xiaoshu Zhu; Wei Li 068; Yanyan Lin; Guolin Yu; Xinhong Hei 001; Jinwei Zhao; Xiaofeng Lu (Knowl. Based Syst., 2017)

A novel chaos optimization algorithm. - Junhong Feng; Jie Zhang 072; Xiaoshu Zhu; Wenwu Lian (Multim. Tools Appl., 2017)

A Global Similarity Learning for Clustering of Single-Cell RNA-Seq Data. - Xiaoshu Zhu; Lilu Guo; Yunpei Xu; Hong-Dong Li; Xingyu Liao; Fang-Xiang Wu; Xiaoqing Peng (BIBM, 2019)

GSE: Graph similarity enhancement algorithm for single-cell RNA-seq data clustering. - Shugui Bu; Lilu Guo; Rongyuan Li; Jianbo Lu; Xiaoshu Zhu (ICIIP, 2019)

Finding community of brain networks based on artificial bee colony with uniform design. - Jie Zhang 072; Xiaoshu Zhu; Junhong Feng; Yifang Yang (Multim. Tools Appl., 2019)

A network enhancement-based method for clustering of single cell RNA-seq data. - Xiaoshu Zhu; Lilu Guo; Rongyuan Li; Yunpei Xu; Fang-Xiang Wu; Xiaoqing Peng; Hong-Dong Li (Int. J. Data Min. Bioinform., 2020)

ClusterMine: A knowledge-integrated clustering approach based on expression profiles of gene sets. - Hong-Dong Li; Yunpei Xu; Xiaoshu Zhu; Quan Liu; Gilbert S. Omenn; Jianxin Wang 001 (J. Bioinform. Comput. Biol., 2020)

SCOTCluster: Deep Clustering with Optimal Transport for Large-scale Single-cell RNA-seq Data. - Faning Long; Xiaojun Ding; Xiaoqing Peng; Jianxin Wang 001; Xiaoshu Zhu (BIBM, 2021)

ScDA: A Denoising AutoEncoder Based Dimensionality Reduction for Single-cell RNA-seq Data. - Xiaoshu Zhu; Yongchang Lin; Jian Li; Jianxin Wang 001; Xiaoqing Peng (ISBRA, 2021)

scIAC: clustering scATAC-seq data based on Student's t-distribution similarity imputation and denoising autoencoder. - Wei Lan; Jin Ye; Xun Sun; Xiaoshu Zhu; Qingfeng Chen; Yi Pan 001 (BIBM, 2022)

STgcor: A Distribution-Based Correlation Measurement Method for Spatial Transcriptome Data. - Xiaoshu Zhu; Liyuan Pang; Wei Lan; Shuang Meng; Xiaoqing Peng (ISBRA, 2022)

Dimensionality Reduction of Single-Cell RNA Sequencing Data by Combining Entropy and Denoising AutoEncoder. - Xiaoshu Zhu; Jian Li; Yongchang Lin; Liquan Zhao; Jian-Xin Wang 001; Xiaoqing Peng (J. Comput. Biol., 2022)

Essential proteins identification based on weak consensus model and neighborhood aggregation centrality. - Zhipeng Hu; Gaoshi Li; Jingli Wu; Xinlong Luo 002; Jiafei Liu; Wei Peng 004; Xiaoshu Zhu (BIBM, 2023)

Gene selection and clustering of single-cell data based on Fisher score and genetic algorithm. - Junhong Feng; Jie Zhang 072; Xiaoshu Zhu; Jian-Hong Wang (J. Supercomput., 2023)

A Gene Correlation Measurement Method for Spatial Transcriptome Data Based on Partitioning and Distribution. - Xiaoshu Zhu; Liyuan Pang; Xiaojun Ding; Wei Lan; Shuang Meng; Xiaoqing Peng (J. Comput. Biol., 2023)

Essential proteins discovery based on dominance relationship and neighborhood similarity centrality. - Gaoshi Li; Xinlong Luo 002; Zhipeng Hu; Jingli Wu; Wei Peng 004; Jiafei Liu; Xiaoshu Zhu (Health Inf. Sci. Syst., 2023)

A Hybrid Algorithm based on Autoencoder and Text Convolutional Network for Integrating scATAC-seq and scRNA-seq Data. - Xiaoshu Zhu; Jiahui Liu; Wei Lan; Fei Teng (BIBM, 2024)

Identification of Cancer Driver Genes based on Dynamic Incentive Model. - Zhipeng Hu; Gaoshi Li; Xinlong Luo 002; Wei Peng 004; Jiafei Liu; Xiaoshu Zhu; Jingli Wu (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

AGImpute: imputation of scRNA-seq data based on a hybrid GAN with dropouts identification. - Xiaoshu Zhu; Shuang Meng; Gaoshi Li; Jian-Xin Wang 001; Xiaoqing Peng (Bioinform., 2024)

Identification of cancer driver genes based on hierarchical weak consensus model. - Gaoshi Li; Zhipeng Hu; Xinlong Luo 002; Jiafei Liu; Jingli Wu; Wei Peng 004; Xiaoshu Zhu (Health Inf. Sci. Syst., 2024)

ViDSG: A Hybrid Algorithm Integrating Statistical and Semantic Features via Dual-Channels for Identifying Prokaryotic and Eukaryotic Viruses. - JianPeng Zhang; Fei Teng; Guo Chen; Changna Qian; Wenbin Chen; Xiaoshu Zhu (ISBRA (1), 2025)

A Hybrid LSTM-CNN Algorithm for Swine Posture Recognition Using Multimodal Sensor Data. - Xiaoshu Zhu; Lei Wei; Tao Zhou; Jianpeng Zhang; Changna Qian; Xiaonan Luo (ISNN, 2025)