Minsheng Hao

16 papers A* 1B 2Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A perspective on developing foundation models for analyzing spatial transcriptomic data.
Quant. Biol.
Tianyu Liu, Minsheng Hao, Xinhao Liu, Hongyu Zhao
2025 — conf
GeST: Towards Building A Generative Pretrained Transformer for Learning Cellular Spatial Context.
MLCB
Minsheng Hao, Nan Yan, Haiyang Bian, Yixin Chen, Jin Gu, Lei Wei, Xuegong Zhang
2025 B conf
Learning Multi-cellular Representations of Single-Cell Transcriptomics Data Enables Characterization of Patient-Level Disease States.
RECOMB
Tianyu Liu, Edward De Brouwer, Tony Kuo, Nathaniel Diamant, Alsu Missarova, Hanchen Wang, Minsheng Hao, Héctor Corrada Bravo, Gabriele Scalia, Aviv Regev, Graham Heimberg
2025 — conf
PerTurboAgent: An LLM-based Agent for Designing Iterative Perturb-Seq Experiments.
MLCB
Minsheng Hao, Yongju Lee, Hanchen Wang, Gabriele Scalia, Aviv Regev
2025 J jnl
Towards Artificial Intelligence Research Assistant for Expert-Involved Learning.
CoRR
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
2024 J jnl
Current opinions on large cellular models.
Quant. Biol.
Minsheng Hao, Lei Wei, Fan Yang, Jianhua Yao, Christina V. Theodoris, Bo Wang, Xin Li, Ge Yang, Xuegong Zhang
2024 J jnl
MMA-RNN: A multi-level multi-task attention-based recurrent neural network for discrimination and localization of atrial fibrillation.
Biomed. Signal Process. Control.
Yifan Sun, Jingyan Shen, Yunfan Jiang, Zhaohui Huang, Minsheng Hao, Xuegong Zhang
2024 J jnl
QueST: Querying Functional and Structural Niches on Spatial Transcriptomics Data via Contrastive Subgraph Embedding.
CoRR
Mo Chen, Minsheng Hao, Xuegong Zhang, Lei Wei
2024 J jnl
scDiffusion: conditional generation of high-quality single-cell data using diffusion model.
Bioinform.
Erpai Luo, Minsheng Hao, Lei Wei, Xuegong Zhang
2024 J jnl
scDiffusion: conditional generation of high-quality single-cell data using diffusion model.
CoRR
Erpai Luo, Minsheng Hao, Lei Wei, Xuegong Zhang
2024 B conf
scMulan: A Multitask Generative Pre-Trained Language Model for Single-Cell Analysis.
RECOMB
Haiyang Bian, Yixin Chen, Xiaomin Dong, Chen Li, Minsheng Hao, Sijie Chen, Jinyi Hu, Maosong Sun, Lei Wei, Xuegong Zhang
2023 J jnl
Decoding functional cell-cell communication events by multi-view graph learning on spatial transcriptomics.
Briefings Bioinform.
Haochen Li, Tianxing Ma, Minsheng Hao, Wenbo Guo, Jin Gu, Xuegong Zhang, Lei Wei
2023 J jnl
MMA-RNN: A Multi-level Multi-task Attention-based Recurrent Neural Network for Discrimination and Localization of Atrial Fibrillation.
CoRR
Yifan Sun, Jingyan Shen, Yunfan Jiang, Zhaohui Huang, Minsheng Hao, Xuegong Zhang
2023 A* conf
xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data.
NeurIPS
Jing Gong, Minsheng Hao, Xingyi Cheng, Xin Zeng, Chiming Liu, Jianzhu Ma, Xuegong Zhang, Taifeng Wang, Le Song
2023 J jnl
xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data.
CoRR
Jing Gong, Minsheng Hao, Xingyi Cheng, Xin Zeng, Chiming Liu, Jianzhu Ma, Xuegong Zhang, Taifeng Wang, Le Song
2021 J jnl
SOMDE: a scalable method for identifying spatially variable genes with self-organizing map.
Bioinform.
Minsheng Hao, Kui Hua, Xuegong Zhang