AI

Density estimation using deep generative neural networks
Qiao Liu, Jiaze Xu, Rui Jiang, Wing Hung Wong. PNAS, 2021.
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Density estimation using deep generative neural networks
Boost Neural Networks by Checkpoints
Feng Wang, Guoyizhe Wei, Qiao Liu, Jinxiang Ou, Xian Wei, Hairong Lv. NeurIPS, 2021.
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DeepCDR: a hybrid graph convolutional network for predicting cancer drug response
Qiao Liu, Zhiqiang Hu, Rui Jiang, Mu Zhou. ECCB Proceedings/Bioinformatics, 2020
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DeepCDR: a hybrid graph convolutional network for predicting cancer drug response
Feature-enhanced graph networks for genetic mutational prediction using histopathological images in colon cancer
Kexin Ding, Qiao Liu, Edward Lee, Mu Zhou, Aidong Lu & Shaoting Zhang. MICCAI, 2020.
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Reinforced molecular optimization with neighborhood-controlled grammars
Chencheng Xu, Qiao Liu, Minlie Huang, Tao Jiang. NeurIPS, 2020.
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Quantifying functional impact of non-coding variants with multi-task Bayesian neural network
Chencheng Xu, Qiao Liu, Jianyu Zhou, Minzhu Xie, Jianxing Feng, Tao Jiang. Bioinformatics, 2020.
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hicGAN infers super resolution Hi-C data with generative adversarial networks
Qiao Liu, Hairong Lv, Rui Jiang. ISMB Proceedings/Bioinformatics, 2019
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hicGAN infers super resolution Hi-C data with generative adversarial networks
DeepHistone: a deep learning approach to predicting histone modifications
Qijin Yin, Mengmeng Wu, Qiao Liu, Hairong Lv & Rui Jiang. BMC genomics, 2019.
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Chromatin accessibility prediction via a hybrid deep convolutional neural network
Qiao Liu*, Xia Fei, Qijin Yin and Rui Jiang. Bioinformatics, 2017.
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Chromatin accessibility prediction via a hybrid deep convolutional neural network