AI

MultiFlow: coupled flow matching for predicting single-cell multiomic perturbation responses in unseen cellular contexts
Haochen Wang, Charming Zhang, Mengran Zhang, Xiaoming Nie, Qiao Liu*. bioRxiv, 2026.
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MultiFlow: coupled flow matching for predicting single-cell multiomic perturbation responses in unseen cellular contexts
RegFM: an interpretable context-aware foundation model for human transcriptional regulation
Zijing Gao, Yining Sun, Haochen Wang, Rui Jiang*, Qiao Liu*. bioRxiv, 2026.
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RegFM: an interpretable context-aware foundation model for human transcriptional regulation
scMTG reconstructs single-cell temporal dynamics with Markov transition generators
Xuejian Cui, Haochen Wang, Zijing Gao, Rui Jiang*, Wing Hung Wong*, Qiao Liu*. bioRxiv, 2026.
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scMTG reconstructs single-cell temporal dynamics with Markov transition generators
Conditional Attribute Estimation with Autoregressive Sequence Models
Erica Stutz, Giacomo Marino, Daniella Meeker, Qiao Liu, and Andrew J. Loza. arXiv, 2026.
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Conditional Attribute Estimation with Autoregressive Sequence Models
Missingness-aware Data Imputation via AI-powered Bayesian Generative Modeling
Qiao Liu. arXiv, 2026.
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Missingness-aware Data Imputation via AI-powered Bayesian Generative Modeling
BGM-IV: an AI-powered Bayesian generative modeling approach for instrumental variable analysis
Guyue Luo and Qiao Liu. arXiv, 2026.
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BGM-IV: an AI-powered Bayesian generative modeling approach for instrumental variable analysis
A Multi-modal Diffusion Model with Dual-Cross-Attention for Multi-Omics Data Generation and Translation
Erpai Luo, Lei Wei, Minsheng Hao, Xuegong Zhang†, Qiao Liu†. Nature Communication 2026.
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A Multi-modal Diffusion Model with Dual-Cross-Attention for Multi-Omics Data Generation and Translation
A Bayesian Generative Modeling Approach for Arbitrary Conditional Inference
Qiao Liu and Wing Hung Wong. arXiv, 2026.
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A Bayesian Generative Modeling Approach for Arbitrary Conditional Inference
How to improve polygenic prediction from whole-genome sequencing data by leveraging predicted epigenomic features?
Wanwen Zeng, Hanmin Guo, Qiao Liu, Wing Hung Wong. PNAS, 2025.
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An AI-powered Bayesian generative modeling approach for causal inference in observational studies
Qiao Liu and Wing Hung Wong. Journal of the American Statistical Association, 2026.
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An AI-powered Bayesian generative modeling approach for causal inference in observational studies