I am now an LLM post-training engineer @Tencent, base Beijing.

I received my Phd from Tsinghua University in 2025, supervised by Professor Xuegong Zhang.

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

News

[2026-01] 👨‍💻 Happy to join Tencent! Honored to have been selected as a candidate for Qingyun, AliStar*2, TGT, BeiDou.

[2025-08] 🏅Honored to receive the 2025 Ray Wu Prize for Excellence in Life Sciences. Grateful to the selection committee and looking forward to connecting with the broader life sciences community!

[2025-06] 📃Introducing PerTurboAgent — an LLM-powered AI agent for Iterative Perturb-Seq design! It’s one of my internship projects at Genentech. Many thanks to Yongju, Hanchen, Gabriele, and Aviv!

[2025-03] 🏆scFoundation was named among China’s Top 10 Bioinformatics Breakthroughs of 2024.

[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).

• 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: 2026.01