Qiao Liu

According to our database, Qiao Liu authored at least 31 papers between 2017 and 2025.

Collaborative distances:

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

2025

An AI-powered Bayesian generative modeling approach for causal inference in observational studies.

Qiao Liu, Wing Hung Wong

CoRR, January, 2025

Deconer: An Evaluation Toolkit for Reference-based Deconvolution Methods Using Gene Expression Data.

Wei Zhang, Xianglin Zhang, Qiao Liu, Lei Wei, Xu Qiao, Rui Gao, Zhiping Liu, Xiaowo Wang

Genom. Proteom. Bioinform., 2025

2024

DeepAEG: a model for predicting cancer drug response based on data enhancement and edge-collaborative update strategies.

Chuanqi Lao, Pengfei Zheng, Hongyang Chen, Qiao Liu, Feng An, Zhao Li

BMC Bioinform., December, 2024

Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation.

Zhaoyang Zhang, Ziqi Chen, Qiao Liu, Jinhan Xie, Hongtu Zhu

CoRR, 2024

Inferring Gene Regulatory Network Based on scATAC-seq Data with Gene Perturbation.

Wei Shao, Yuti Liu, Shuang Zhang, Shuang Chen, Qiao Liu, Jianyu Zhou, Wanwen Zeng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

DeepDrug: A general graph-based deep learning framework for drug-drug interactions and drug-target interactions prediction.

Qijin Yin, Rui Fan, Xusheng Cao, Qiao Liu, Rui Jiang, Wanwen Zeng

Quant. Biol., September, 2023

HiChIPdb: a comprehensive database of HiChIP regulatory interactions.

Wanwen Zeng, Qiao Liu, Qijin Yin, Rui Jiang, Wing Hung Wong

Nucleic Acids Res., January, 2023

Deep generative modeling and clustering of single cell Hi-C data.

Qiao Liu, Wanwen Zeng, Wei Zhang, Sicheng Wang, Hongyang Chen, Rui Jiang, Mu Zhou, Shaoting Zhang

Briefings Bioinform., January, 2023

2022

AggEnhance: Aggregation Enhancement by Class Interior Points in Federated Learning with Non-IID Data.

Jinxiang Ou, Yunheng Shen, Feng Wang, Qiao Liu, Xuegong Zhang, Hairong Lv

ACM Trans. Intell. Syst. Technol., 2022

DeepCAGE: Incorporating Transcription Factors in Genome-wide Prediction of Chromatin Accessibility.

Qiao Liu, Kui Hua, Xuegong Zhang, Wing Hung Wong, Rui Jiang

Genom. Proteom. Bioinform., 2022

CausalEGM: a general causal inference framework by encoding generative modeling.

Qiao Liu, Zhongren Chen, Wing Hung Wong

CoRR, 2022

Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems.

Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao, Yusen He, Yaohua Wang

CoRR, 2022

Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems.

Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao

CoRR, 2022

Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications.

Kexin Ding, Mu Zhou, Zichen Wang, Qiao Liu, Corey W. Arnold, Shaoting Zhang, Dimitris N. Metaxas

CoRR, 2022

DualGCN: a dual graph convolutional network model to predict cancer drug response.

Tianxing Ma, Qiao Liu, Haochen Li, Mu Zhou, Rui Jiang, Xuegong Zhang

BMC Bioinform., 2022

scGraph: a graph neural network-based approach to automatically identify cell types.

Qijin Yin, Qiao Liu, Zhuoran Fu, Wanwen Zeng, Boheng Zhang, Xuegong Zhang, Rui Jiang, Hairong Lv

Bioinform., 2022

2021

Simultaneous deep generative modelling and clustering of single-cell genomic data.

Qiao Liu, Shengquan Chen, Rui Jiang, Wing Hung Wong

Nat. Mach. Intell., 2021

OpenAnnotate: a web server to annotate the chromatin accessibility of genomic regions.

Shengquan Chen, Qiao Liu, Xuejian Cui, Zhan-Ying Feng, Chunquan Li, Xiaowo Wang, Xuegong Zhang, Yong Wang, Rui Jiang

Nucleic Acids Res., 2021

Boost Neural Networks by Checkpoints.

Feng Wang, Guoyizhe Wei, Qiao Liu, Jinxiang Ou, Xian Wei, Hairong Lv

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multimodal single cell data integration challenge: Results and lessons learned.

Christopher Lance, Malte D. Lücken, Daniel B. Burkhardt, Robrecht Cannoodt, Pia Rautenstrauch, Anna Laddach, Aidyn Ubingazhibov, Zhi-Jie Cao, Kaiwen Deng, Sumeer Khan, Qiao Liu, Nikolay Russkikh, Gleb Ryazantsev, Uwe Ohler, Angela Oliveira Pisco, Jonathan Bloom, Smita Krishnaswamy, Fabian J. Theis

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

2020

Roundtrip: A Deep Generative Neural Density Estimator.

Qiao Liu, Jiaze Xu, Rui Jiang, Wing Hung Wong

CoRR, 2020

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

Bioinform., 2020

DeepCDR: a hybrid graph convolutional network for predicting cancer drug response.

Qiao Liu, Zhiqiang Hu, Rui Jiang, Mu Zhou

Bioinform., 2020

Reinforced Molecular Optimization with Neighborhood-Controlled Grammars.

Chencheng Xu, Qiao Liu, Minlie Huang, Tao Jiang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

EpiFIT: functional interpretation of transcription factors based on combination of sequence and epigenetic information.

Shaoming Song, Hongfei Cui, Shengquan Chen, Qiao Liu, Rui Jiang

Quant. Biol., 2019

DeepHistone: a deep learning approach to predicting histone modifications.

Qijin Yin, Mengmeng Wu, Qiao Liu, Hairong Lv, Rui Jiang

BMC Genom., 2019

hicGAN infers super resolution Hi-C data with generative adversarial networks.

Qiao Liu, Hairong Lv, Rui Jiang

Bioinform., 2019

Automatically Structuring on Chinese Ultrasound Report of Cerebrovascular Diseases via Natural Language Processing.

Pengyu Chen, Qiao Liu, Lan Wei, Beier Zhao, Yin Jia, Hairong Lv, Xiaolu Fei

IEEE Access, 2019

2018

Chromatin accessibility prediction via a hybrid deep convolutional neural network.

Qiao Liu, Fei Xia, Qijin Yin, Rui Jiang

Bioinform., 2018

2017

A sequence-based method to predict the impact of regulatory variants using random forest.

Qiao Liu, Mingxin Gan, Rui Jiang

BMC Syst. Biol., 2017