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[1] Li X , Chen W, Chen Y, Zhang X, Gu J ^# , Zhang Q. M ^# . (2017). Network embedding-based representation learning for single cell rna-seq data. Nucleic Acids Research, 45(19), e166.( IF=19.16 ) [2] Guo T * , Yuan Z * , Pan Y, Wang J, Chen F, Zhang Q. M ^# , Li X ^# . (2023) SPIRAL: integrating and aligning spatially resolved transcriptomics data across different experiments, conditions, and technologies. Genome Biology. (Accepted, IF= 17.4) [3] Guo T , Chen Y, Shi M, Li X ^# , Zhang Q. M ^# . (2022) . Integration of single cell data by disentangled representation learning . Nucleic Acids Research, 50(2), e8. (IF=19.16) [4] Wu G, Li X ^# , Guo W, Wei Z, Hu T, Shan Y, Gu J ^# . (2022). JEBIN: analyzing gene co-expressions across multiple datasets by joint network embedding. Briefings in Bioinformatics, bbab603.(IF=13.994) [5] Yan A*, Xiong J*, Zhu J*, Li X * ,Xu S, Feng X, Ke X, Wang Z, Chen Y, Wang H, Zhang, Q. M ^# , Kee K ^# . (2022).DAZL regulates proliferation of human primordial germ cell by direct binding to precursor miRNAs and enhances DICER processing activity. Nucleic Acids Research,gkac856 ( IF=19.16, 共同一作) [6] Huo Y, Guo Y, Wang J, Xue H, Feng Y, Chen W, Li X ^# . (2023) Integrating multi-modal information to detect spatial domains of spatial transcriptomics by graph attention network. Journal of Genetics and Genomics. (Accepted, IF= 5.723 )
[7] Li X ., & Chen W. (2021) Label Preserved Heterogeneous Network Embedding. In International Conference on Neural Information Processing (pp. 121-132). Springer, Cham.