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ORCIDQiao Liu 0008
Person information
- affiliation (since 2025): Yale University, Department of Biostatistics, New Haven, CT, USA
- affiliation (2019-2025): Stanford University, Department of Statistics, Stanford, CA, USA
- affiliation (2016-2019): Tsinghua University, Beijing, China
Other persons with the same name
- Qiao Liu — disambiguation page
- Qiao Liu 0001
![[0000-0003-0885-7976]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0885-7976")
— Harbin Institute of Technology, Shenzhen, China - Qiao Liu 0002 — Xidian University, Xi'an, China
- Qiao Liu 0003 — University of Electronic Science and Technology of China, Chengdu, China
- Qiao Liu 0004 — Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China
- Qiao Liu 0005 — Qilu University of Technology, Jinan, China
- Qiao Liu 0006 — Huawei Technologies Co. Ltd., Chengdu, China
- Qiao Liu 0007 — University of Tokyo, Tokyo, Japan
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Journal Articles
- 2024
[j18]Chuanqi Lao, Pengfei Zheng, Hongyang Chen, Qiao Liu, Feng An, Zhao Li:
DeepAEG: a model for predicting cancer drug response based on data enhancement and edge-collaborative update strategies. BMC Bioinform. 25(1): 105 (2024)- 2023
- [j17]Qiao Liu, Wanwen Zeng, Wei Zhang, Sicheng Wang, Hongyang Chen, Rui Jiang, Mu Zhou, Shaoting Zhang:
Deep generative modeling and clustering of single cell Hi-C data. Briefings Bioinform. 24(1) (2023) - [j16]Wanwen Zeng, Qiao Liu, Qijin Yin, Rui Jiang, Wing Hung Wong:
HiChIPdb: a comprehensive database of HiChIP regulatory interactions. Nucleic Acids Res. 51(D1): 159-166 (2023) - [j15]Qijin Yin, Rui Fan, Xusheng Cao, Qiao Liu, Rui Jiang, Wanwen Zeng:
DeepDrug: A general graph-based deep learning framework for drug-drug interactions and drug-target interactions prediction. Quant. Biol. 11(3): 260-274 (2023) - 2022
- [j14]Qijin Yin, Qiao Liu, Zhuoran Fu, Wanwen Zeng, Boheng Zhang, Xuegong Zhang, Rui Jiang, Hairong Lv:
scGraph: a graph neural network-based approach to automatically identify cell types. Bioinform. 38(11): 2996-3003 (2022) - [j13]Tianxing Ma, Qiao Liu, Haochen Li, Mu Zhou, Rui Jiang, Xuegong Zhang:
DualGCN: a dual graph convolutional network model to predict cancer drug response. BMC Bioinform. 23-S(4): 129 (2022) - [j12]Qiao Liu, Kui Hua, Xuegong Zhang, Wing Hung Wong, Rui Jiang:
DeepCAGE: Incorporating Transcription Factors in Genome-wide Prediction of Chromatin Accessibility. Genom. Proteom. Bioinform. 20(3): 496-507 (2022) - [j11]Jinxiang Ou, Yunheng Shen, Feng Wang, Qiao Liu, Xuegong Zhang, Hairong Lv:
AggEnhance: Aggregation Enhancement by Class Interior Points in Federated Learning with Non-IID Data. ACM Trans. Intell. Syst. Technol. 13(6): 104:1-104:25 (2022) - 2021
- [j10]Shengquan Chen, Qiao Liu, Xuejian Cui, Zhan-Ying Feng, Chunquan Li, Xiaowo Wang, Xuegong Zhang, Yong Wang, Rui Jiang:
OpenAnnotate: a web server to annotate the chromatin accessibility of genomic regions. Nucleic Acids Res. 49(Webserver-Issue): 483-490 (2021) - [j9]Qiao Liu, Shengquan Chen, Rui Jiang, Wing Hung Wong:
Simultaneous deep generative modelling and clustering of single-cell genomic data. Nat. Mach. Intell. 3(6): 536-544 (2021) - 2020
- [j8]Chencheng Xu, Qiao Liu, Jianyu Zhou, Minzhu Xie, Jianxing Feng, Tao Jiang:
Quantifying functional impact of non-coding variants with multi-task Bayesian neural network. Bioinform. 36(5): 1397-1404 (2020) - [j7]Qiao Liu, Zhiqiang Hu, Rui Jiang, Mu Zhou:
DeepCDR: a hybrid graph convolutional network for predicting cancer drug response. Bioinform. 36(Supplement-2): i911-i918 (2020) - 2019
- [j6]Pengyu Chen, Qiao Liu, Lan Wei, Beier Zhao, Yin Jia, Hairong Lv, Xiaolu Fei:
Automatically Structuring on Chinese Ultrasound Report of Cerebrovascular Diseases via Natural Language Processing. IEEE Access 7: 89043-89050 (2019) - [j5]Qiao Liu, Hairong Lv, Rui Jiang:
hicGAN infers super resolution Hi-C data with generative adversarial networks. Bioinform. 35(14): i99-i107 (2019) - [j4]Qijin Yin, Mengmeng Wu, Qiao Liu, Hairong Lv, Rui Jiang:
DeepHistone: a deep learning approach to predicting histone modifications. BMC Genom. 20(S2) (2019) - [j3]Shaoming Song, Hongfei Cui, Shengquan Chen, Qiao Liu, Rui Jiang:
EpiFIT: functional interpretation of transcription factors based on combination of sequence and epigenetic information. Quant. Biol. 7(3): 233-243 (2019) - 2018
- [j2]Qiao Liu, Fei Xia, Qijin Yin, Rui Jiang:
Chromatin accessibility prediction via a hybrid deep convolutional neural network. Bioinform. 34(5): 732-738 (2018) - 2017
- [j1]Qiao Liu, Mingxin Gan, Rui Jiang:
A sequence-based method to predict the impact of regulatory variants using random forest. BMC Syst. Biol. 11(S-2): 7:1-7:9 (2017)
Conference and Workshop Papers
- 2024
- [c5]Wei Shao, Yuti Liu, Shuang Zhang, Shuang Chen, Qiao Liu, Jianyu Zhou, Wanwen Zeng:
Inferring Gene Regulatory Network Based on scATAC-seq Data with Gene Perturbation. BIBM 2024: 451-456 - 2021
- [c4]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:
Multimodal single cell data integration challenge: Results and lessons learned. NeurIPS (Competition and Demos) 2021: 162-176 - [c3]Feng Wang, Guoyizhe Wei, Qiao Liu, Jinxiang Ou, Xian Wei, Hairong Lv:
Boost Neural Networks by Checkpoints. NeurIPS 2021: 19719-19729 - 2020
- [c2]Kexin Ding, Qiao Liu, Edward Lee, Mu Zhou, Aidong Lu, Shaoting Zhang:
Feature-Enhanced Graph Networks for Genetic Mutational Prediction Using Histopathological Images in Colon Cancer. MICCAI (2) 2020: 294-304 - [c1]Chencheng Xu, Qiao Liu, Minlie Huang, Tao Jiang:
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars. NeurIPS 2020
Informal and Other Publications
- 2024
- [i9]Zhaoyang Zhang, Ziqi Chen, Qiao Liu, Jinhan Xie, Hongtu Zhu:
Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation. CoRR abs/2411.04899 (2024) - 2022
- [i8]Kexin Ding, Mu Zhou, Zichen Wang, Qiao Liu, Corey W. Arnold, Shaoting Zhang, Dimitris N. Metaxas:
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications. CoRR abs/2202.08916 (2022) - [i7]Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao:
Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems. CoRR abs/2209.10058 (2022) - [i6]Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao:
Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems. CoRR abs/2210.01000 (2022) - [i5]Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao, Yusen He, Yaohua Wang:
Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems. CoRR abs/2211.12685 (2022) - [i4]Qiao Liu, Zhongren Chen, Wing Hung Wong:
CausalEGM: a general causal inference framework by encoding generative modeling. CoRR abs/2212.05925 (2022) - 2021
- [i3]Feng Wang, Guoyizhe Wei, Qiao Liu, Jinxiang Ou, Xian Wei, Hairong Lv:
Boost Neural Networks by Checkpoints. CoRR abs/2110.00959 (2021) - 2020
- [i2]Qiao Liu, Jiaze Xu, Rui Jiang, Wing Hung Wong:
Roundtrip: A Deep Generative Neural Density Estimator. CoRR abs/2004.09017 (2020) - [i1]Chencheng Xu, Qiao Liu, Minlie Huang, Tao Jiang:
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars. CoRR abs/2011.07225 (2020)
Coauthor Index
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