Our Mission


At the intersection of AI, statistics, and biology, our lab is dedicated to developing novel computational frameworks for unraveling the complexities of biomedical data, paving the way for groundbreaking discoveries in computational biology and biomedical informatics.

Selected Publications

Full publications can be found at Publications tab or Google Scholar. *
All AI Statistics Genomics Drug Database
Leveraging genomic large language models to enhance causal genotype-brain-clinical pathways in Alzheimer’s disease
Qiao Liu*, Wanwen Zeng*, Hongtu Zhu, Lexin Li, Wing Hung Wong. medRxiv, 2024.
PDF Cite Code DOI
Leveraging genomic large language models to enhance causal genotype-brain-clinical pathways in Alzheimer's disease
An encoding generative modeling approach to dimension reduction and covariate adjustment in causal inference with observational studies
Qiao Liu, Zhongren Chen, Wing Hung Wong. PNAS, 2024.
PDF Cite Code Project DOI
An encoding generative modeling approach to dimension reduction and covariate adjustment in causal inference with observational studies
EpiGePT: a Pretrained Transformer model for epigenomics
Zijing Gao*, Qiao Liu*,†, Wanwen Zeng, Rui Jiang†, Wing Hung Wong†. bioRxiv, 2024 (minor revision at Genome Biology).
PDF Cite Code DOI
EpiGePT: a Pretrained Transformer model for epigenomics
HiChIPdb: a comprehensive database of HiChIP regulatory interactions
Wanwen Zeng*, Qiao Liu*, Qijin Yin*, Rui Jiang, Wing Hung Wong. Nucleic Acids Research, 2022.
PDF Cite Project DOI
HiChIPdb: a comprehensive database of HiChIP regulatory interactions
Simultaneous deep generative modelling and clustering of single-cell genomic data
Qiao Liu, Shengquan Chen, Rui Jiang, Wing Hung Wong. Nature Machine Intelligence, 2021.
PDF Cite Code DOI
Simultaneous deep generative modelling and clustering of single-cell genomic data
Density estimation using deep generative neural networks
Qiao Liu, Jiaze Xu, Rui Jiang, Wing Hung Wong. PNAS, 2021.
PDF Cite Code DOI
Density estimation using deep generative neural networks
DeepCDR: a hybrid graph convolutional network for predicting cancer drug response
Qiao Liu, Zhiqiang Hu, Rui Jiang, Mu Zhou. ECCB Proceedings/Bioinformatics, 2020
PDF Cite Code DOI
DeepCDR: a hybrid graph convolutional network for predicting cancer drug response
hicGAN infers super resolution Hi-C data with generative adversarial networks
Qiao Liu, Hairong Lv, Rui Jiang. ISMB Proceedings/Bioinformatics, 2019
PDF Cite Code DOI
hicGAN infers super resolution Hi-C data with generative adversarial networks

Support & Funding

Support & Funding

We appreciate the support from the below organizations & agencies.

Funding Agency 1 Funding Agency 3