Qiao Liu

36 papers A* 2Journal 30Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Bayesian Generative Modeling Approach for Arbitrary Conditional Inference.
CoRR
Qiao Liu, Wing Hung Wong
2025 J jnl
An AI-powered Bayesian generative modeling approach for causal inference in observational studies.
CoRR
Qiao Liu, Wing Hung Wong
2025 J jnl
Deconer: An Evaluation Toolkit for Reference-based Deconvolution Methods Using Gene Expression Data.
Genom. Proteom. Bioinform.
Wei Zhang, Xianglin Zhang, Qiao Liu, Lei Wei, Xu Qiao, Rui Gao, Zhiping Liu, Xiaowo Wang
2025 — conf
Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation.
KDD (2)
Zhaoyang Zhang, Ziqi Chen, Qiao Liu, Jinhan Xie, Hongtu Zhu
2024 J jnl
DeepAEG: a model for predicting cancer drug response based on data enhancement and edge-collaborative update strategies.
BMC Bioinform.
Chuanqi Lao, Pengfei Zheng, Hongyang Chen, Qiao Liu, Feng An, Zhao Li
2024 — conf
Inferring Gene Regulatory Network Based on scATAC-seq Data with Gene Perturbation.
BIBM
Wei Shao, Yuti Liu, Shuang Zhang, Shuang Chen, Qiao Liu, Jianyu Zhou, Wanwen Zeng
2024 J jnl
Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation.
CoRR
Zhaoyang Zhang, Ziqi Chen, Qiao Liu, Jinhan Xie, Hongtu Zhu
2023 J jnl
Deep generative modeling and clustering of single cell Hi-C data.
Briefings Bioinform.
Qiao Liu, Wanwen Zeng, Wei Zhang, Sicheng Wang, Hongyang Chen, Rui Jiang, Mu Zhou, Shaoting Zhang
2023 J jnl
DeepDrug: A general graph-based deep learning framework for drug-drug interactions and drug-target interactions prediction.
Quant. Biol.
Qijin Yin, Rui Fan, Xusheng Cao, Qiao Liu, Rui Jiang, Wanwen Zeng
2023 J jnl
HiChIPdb: a comprehensive database of HiChIP regulatory interactions.
Nucleic Acids Res.
Wanwen Zeng, Qiao Liu, Qijin Yin, Rui Jiang, Wing Hung Wong
2022 J jnl
AggEnhance: Aggregation Enhancement by Class Interior Points in Federated Learning with Non-IID Data.
ACM Trans. Intell. Syst. Technol.
Jinxiang Ou, Yunheng Shen, Feng Wang, Qiao Liu, Xuegong Zhang, Hairong Lv
2022 J jnl
CausalEGM: a general causal inference framework by encoding generative modeling.
CoRR
Qiao Liu, Zhongren Chen, Wing Hung Wong
2022 J jnl
DeepCAGE: Incorporating Transcription Factors in Genome-wide Prediction of Chromatin Accessibility.
Genom. Proteom. Bioinform.
Qiao Liu, Kui Hua, Xuegong Zhang, Wing Hung Wong, Rui Jiang
2022 J jnl
DualGCN: a dual graph convolutional network model to predict cancer drug response.
BMC Bioinform.
Tianxing Ma, Qiao Liu, Haochen Li, Mu Zhou, Rui Jiang, Xuegong Zhang
2022 J jnl
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications.
CoRR
Kexin Ding, Mu Zhou, Zichen Wang, Qiao Liu, Corey W. Arnold, Shaoting Zhang, Dimitris N. Metaxas
2022 J jnl
Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems.
CoRR
Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao
2022 J jnl
Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems.
CoRR
Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao
2022 J jnl
Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems.
CoRR
Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao, Yusen He, Yaohua Wang
2022 J jnl
scGraph: a graph neural network-based approach to automatically identify cell types.
Bioinform.
Qijin Yin, Qiao Liu, Zhuoran Fu, Wanwen Zeng, Boheng Zhang, Xuegong Zhang, Rui Jiang, Hairong Lv
2021 A* conf
Boost Neural Networks by Checkpoints.
NeurIPS
Feng Wang, Guoyizhe Wei, Qiao Liu, Jinxiang Ou, Xian Wei, Hairong Lv
2021 J jnl
Boost Neural Networks by Checkpoints.
CoRR
Feng Wang, Guoyizhe Wei, Qiao Liu, Jinxiang Ou, Xian Wei, Hairong Lv
2021 — conf
Multimodal single cell data integration challenge: Results and lessons learned.
NeurIPS (Competition and Demos)
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
2021 J jnl
OpenAnnotate: a web server to annotate the chromatin accessibility of genomic regions.
Nucleic Acids Res.
Shengquan Chen, Qiao Liu, Xuejian Cui, Zhan-Ying Feng, Chunquan Li, Xiaowo Wang, Xuegong Zhang, Yong Wang, Rui Jiang
2021 J jnl
Simultaneous deep generative modelling and clustering of single-cell genomic data.
Nat. Mach. Intell.
Qiao Liu, Shengquan Chen, Rui Jiang, Wing Hung Wong
2020 J jnl
DeepCDR: a hybrid graph convolutional network for predicting cancer drug response.
Bioinform.
Qiao Liu, Zhiqiang Hu, Rui Jiang, Mu Zhou
2020 — conf
Feature-Enhanced Graph Networks for Genetic Mutational Prediction Using Histopathological Images in Colon Cancer.
MICCAI (2)
Kexin Ding, Qiao Liu, Edward Lee, Mu Zhou, Aidong Lu, Shaoting Zhang
2020 J jnl
Quantifying functional impact of non-coding variants with multi-task Bayesian neural network.
Bioinform.
Chencheng Xu, Qiao Liu, Jianyu Zhou, Minzhu Xie, Jianxing Feng, Tao Jiang
2020 A* conf
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars.
NeurIPS
Chencheng Xu, Qiao Liu, Minlie Huang, Tao Jiang
2020 J jnl
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars.
CoRR
Chencheng Xu, Qiao Liu, Minlie Huang, Tao Jiang
2020 J jnl
Roundtrip: A Deep Generative Neural Density Estimator.
CoRR
Qiao Liu, Jiaze Xu, Rui Jiang, Wing Hung Wong
2019 J jnl
Automatically Structuring on Chinese Ultrasound Report of Cerebrovascular Diseases via Natural Language Processing.
IEEE Access
Pengyu Chen, Qiao Liu, Lan Wei, Beier Zhao, Yin Jia, Hairong Lv, Xiaolu Fei
2019 J jnl
DeepHistone: a deep learning approach to predicting histone modifications.
BMC Genom.
Qijin Yin, Mengmeng Wu, Qiao Liu, Hairong Lv, Rui Jiang
2019 J jnl
EpiFIT: functional interpretation of transcription factors based on combination of sequence and epigenetic information.
Quant. Biol.
Shaoming Song, Hongfei Cui, Shengquan Chen, Qiao Liu, Rui Jiang
2019 J jnl
hicGAN infers super resolution Hi-C data with generative adversarial networks.
Bioinform.
Qiao Liu, Hairong Lv, Rui Jiang
2018 J jnl
Chromatin accessibility prediction via a hybrid deep convolutional neural network.
Bioinform.
Qiao Liu, Fei Xia, Qijin Yin, Rui Jiang
2017 J jnl
A sequence-based method to predict the impact of regulatory variants using random forest.
BMC Syst. Biol.
Qiao Liu, Mingxin Gan, Rui Jiang