Minsheng Hao

According to our database, Minsheng Hao authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Towards Artificial Intelligence Research Assistant for Expert-Involved Learning.

Tianyu Liu, Simeng Han, Xiao Luo, Hanchen Wang, Pan Lu, Biqing Zhu, Yuge Wang, Keyi Li, Jiapeng Chen, Rihao Qu, Yufeng Liu, Xinyue Cui, Aviv Yaish, Yuhang Chen, Minsheng Hao, Chuhan Li, Kexing Li, Arman Cohan, Hua Xu, Mark Gerstein, James Zou, Hongyu Zhao

CoRR, May, 2025

Learning Multi-cellular Representations of Single-Cell Transcriptomics Data Enables Characterization of Patient-Level Disease States.

Tianyu Liu, Edward De Brouwer, Tony Kuo, Nathaniel Diamant, Alsu Missarova, Hanchen Wang, Minsheng Hao, Héctor Corrada Bravo, Gabriele Scalia, Aviv Regev, Graham Heimberg

Proceedings of the Research in Computational Molecular Biology, 2025

2024

Current opinions on large cellular models.

Minsheng Hao, Lei Wei, Fan Yang, Jianhua Yao, Christina V. Theodoris, Bo Wang, Xin Li, Ge Yang, Xuegong Zhang

Quant. Biol., 2024

QueST: Querying Functional and Structural Niches on Spatial Transcriptomics Data via Contrastive Subgraph Embedding.

Mo Chen, Minsheng Hao, Xuegong Zhang, Lei Wei

CoRR, 2024

scDiffusion: conditional generation of high-quality single-cell data using diffusion model.

Erpai Luo, Minsheng Hao, Lei Wei, Xuegong Zhang

CoRR, 2024

MMA-RNN: A multi-level multi-task attention-based recurrent neural network for discrimination and localization of atrial fibrillation.

Yifan Sun, Jingyan Shen, Yunfan Jiang, Zhaohui Huang, Minsheng Hao, Xuegong Zhang

Biomed. Signal Process. Control., 2024

scMulan: A Multitask Generative Pre-Trained Language Model for Single-Cell Analysis.

Haiyang Bian, Yixin Chen, Xiaomin Dong, Chen Li, Minsheng Hao, Sijie Chen, Jinyi Hu, Maosong Sun, Lei Wei, Xuegong Zhang

Proceedings of the Research in Computational Molecular Biology, 2024

2023

Decoding functional cell-cell communication events by multi-view graph learning on spatial transcriptomics.

Haochen Li, Tianxing Ma, Minsheng Hao, Wenbo Guo, Jin Gu, Xuegong Zhang, Lei Wei

Briefings Bioinform., September, 2023

xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data.

Jing Gong, Minsheng Hao, Xingyi Cheng, Xin Zeng, Chiming Liu, Jianzhu Ma, Xuegong Zhang, Taifeng Wang, Le Song

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

SOMDE: a scalable method for identifying spatially variable genes with self-organizing map.

Minsheng Hao, Kui Hua, Xuegong Zhang

Bioinform., 2021