I am a PhD candidate at Tsinghua University, supervised by Professor Xuegong Zhang.

Previously, I obtained my Bachelor’s degree in 2020 from the Department of Automation, at Tsinghua University.

My research interests are developing advanced AI models on omics data analysis, expanding the application scenarios and boundaries of AI models in biological data. Especially, I am working on building foundation models and generative models for scRNA-seq data and spatial transcriptomics.

News

[2024-11] I was awarded the National Scholarship at Tsinghua University.

[2024-08] Our work scDiffusion is published in Bioinformatics. It is not only a simulation paper but also a step towards inferring the new discrete and continuous cell states.

[2024-07] I am thrilled to announce my role as an international student intern at Aviv Regev Lab, Genentech R&D (gRED), located in South San Francisco. Under the supervision of Dr. Yongju Lee, I am eager to dive into exciting projects! P.S. I might be the only intern joining from China these years.

[2024-06] Our article “Large Scale Foundation Model on Single-Cell Transcriptomics” has now been published in Nature Methods! Many thanks to Prof. Xuegong Zhang, Prof. Le Song, Prof. Jianzhu Ma and colleagues at Tsinghua and BioMap!

[2024-06] I set this website as my academic homepage. Welcome!

Publications

You can also find my articles on Google Scholar.

Selected Papers

• Minsheng Hao, Erpai Luo, Yixin Chen, Yanhong Wu, Chen Li, Sijie Chen, Haoxiang Gao, et al. 2024. “STEM Enables Mapping of Single-Cell and Spatial Transcriptomics Data with Transfer Learning.” Communications Biology 7 (1): 56.

• Minsheng Hao, Jing Gong, Xin Zeng, Chiming Liu, Yucheng Guo, Xingyi Cheng, Taifeng Wang, Jianzhu Ma, Le Song, and Xuegong Zhang. 2023. “Large Scale Foundation Model on Single-Cell Transcriptomics.” Nat Methods (2024). https://doi.org/10.1038/s41592-024-02305-7.

• Minsheng Hao, Kui Hua, and Xuegong Zhang. 2021. “SOMDE: A Scalable Method for Identifying Spatially Variable Genes with Self-Organizing Map.” Bioinformatics 37 (23): 4392–98.

• Erpai Luo#, Minsheng Hao#, Lei Wei, and Xuegong Zhang. 2024. “scDiffusion: Conditional Generation of High-Quality Single-Cell Data Using Diffusion Model.” arXiv Preprint arXiv:2401.03968.

• Jing Gong#, Minsheng Hao#, Xingyi Cheng, Xin Zeng, Chiming Liu, Jianzhu Ma, Xuegong Zhang, Taifeng Wang, and Le Song. 2024. “xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell Rna-Seq Data.” Advances in Neural Information Processing Systems 36.

• Sijie Chen, Yanting Luo, Haoxiang Gao, Fanhong Li, Yixin Chen, Jiaqi Li, Renke You, Minsheng Hao et al. 2022. “hECA: The Cell-Centric Assembly of a Cell Atlas.” Iscience 25 (5).

Last updated: 2024.12