| Network embedding-based representation learning for single cell RNA-seq data X Li, W Chen, Y Chen, X Zhang, J Gu, MQ Zhang Nucleic acids research 45 (19), e166-e166, 2017 | 57 | 2017 |
| Pne: Label embedding enhanced network embedding W Chen, X Mao, X Li, Y Zhang, X Li Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017 | 7 | 2017 |
| DAZL regulates proliferation of human primordial germ cells by direct binding to precursor miRNAs and enhances DICER processing activity A Yan*, J Xiong*, J Zhu*, X Li*, S Xu, X Feng, X Ke, Z Wang, Y Chen, ... Nucleic Acids Research 50 (19), 11255-11272, 2022 | 6 | 2022 |
| SPIRAL: integrating and aligning spatially resolved transcriptomics data across different experiments, conditions, and technologies T Guo, Z Yuan, Y Pan, J Wang, F Chen, MQ Zhang, X Li Genome Biology 24 (1), 1-26, 2023 | 4 | 2023 |
| Integrating multi-modal information to detect spatial domains of spatial transcriptomics by graph attention network Y Huo, Y Guo, J Wang, H Xue, Y Feng, W Chen, X Li Journal of Genetics and Genomics, 2023 | 4 | 2023 |
| Integration of single cell data by disentangled representation learning T Guo, Y Chen, M Shi, X Li#, MQ Zhang# Nucleic acids research 50 (2), e8-e8, 2022 | 4 | 2022 |
| JEBIN: analyzing gene co-expressions across multiple datasets by joint network embedding G Wu, X Li#, W Guo, Z Wei, T Hu, Y Shan, J Gu# Briefings in Bioinformatics 23 (2), 2022 | 1 | 2022 |
| A joint representation learning approach for social media tag recommendation X Li, W Chen Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 1 | 2021 |
| Label Preserved Heterogeneous Network Embedding X Li, W Chen Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | | 2021 |
