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ORCIDHui Liu 0026
Person information
- affiliation: Changzhou University, Lab of Information Management, Jiangsu, China
- affiliation (PhD 2010): Fudan University, School of Computer Science, Shanghai, China
Other persons with the same name
- Hui Liu — disambiguation page
- Hui Liu 0001
![[0000-0002-5826-3271]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-5826-3271")
— Beijing Institute of Technology, National Key Laboratory of Vehicular Transmission, China - Hui Liu 0002 — Shanghai University of International Business and Economics, School of Business, China (and 2 more)
- Hui Liu 0003 — Beijing Institute of Technology, School of Computer Science and Technology, China (and 1 more)
- Hui Liu 0004 — Huazhong University of Science and Technology, Key Laboratory of Image Processing and Intelligent Control of Education, Wuhan, China (and 2 more)
- Hui Liu 0005 — University of Calgary, Department of Chemical and Petroleum Engineering, AB, Canada
- Hui Liu 0006 — Xidian University, School of Software and Institute of Software Engineering, Xi'an, China
- Hui Liu 0007 — Dalian University of Technology, Department of Biomedical Engineering, China
- Hui Liu 0008 — Missouri State University, Springfield, MO, USA (and 1 more)
- Hui Liu 0009 — Washington University in Saint Louis, Radiology, MO, USA (and 1 more)
- Hui Liu 0010 — Jiangsu University, School of Electrical and Information Engineering, Zhenjiang, China
- Hui Liu 0011 — University of Washington, Department of Electrical Engineering, Seattle, WA, USA (and 3 more)
- Hui Liu 0012 — Northeastern University, School of Metallurgy, Shenyang, China
- Hui Liu 0013 — Jiangsu University, Automotive Engineering Research Institute, Zhenjiang, China
- Hui Liu 0014 — Guangxi University, College of Electrical Engineering, Nanning, China (and 4 more)
- Hui Liu 0015 — China Jiliang University, College of Quality and Safety Engineering, Hangzhou, China
- Hui Liu 0016 — Stanford University, Department of Radiation Oncology, Palo Alto, CA, USA (and 2 more)
- Hui Liu 0017 — PLA Information Engineering University, State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China
- Hui Liu 0018 — Wuhan University, Key Laboratory of Aerospace Information Security and Trusted Computing, China
- Hui Liu 0019 — Katholieke Universiteit Leuven, Department of Electrical Engineering, Belgium
- Hui Liu 0020 — Xiamen University, School of Information Science and Engineering, China
- Hui Liu 0021 — University of Illinois at Urbana-Champaign, Center for Biophysics and Computational Biology, USA
- Hui Liu 0022 — Wuhan University, Department of Engineering Mechanics, School of Civil Engineering, China
- Hui Liu 0023 — Central South University, School of Traffic and Transportation Engineering, Hunan, China (and 1 more)
- Hui Liu 0024 — China University of Mining and Technology, School of Information and Electrical Engineering, Jiangsu, China
- Hui Liu 0025 — Shandong University of Science and Technology, College of Mining and Safety Engineering, Qingdao, China
- Hui Liu 0027 — Southern Methodist University, Department of Electrical Engineering, Dallas, TX, USA
- Hui Liu 0028 — Hubei University of Technology, Hubei Collaborative Innovation Center for High-efficiency Utilization of Solar Energy, Wuhan, China
- Hui Liu 0029 — Zhejiang University, National Engineering Research Center for Optical Instruments, Hangzhou, China (and 1 more)
- Hui Liu 0030 — Beijing University of Civil Engineering and Architecture, School of Electrical and Information Engineering, Beijing, China
- Hui Liu 0031 — Michigan State University, East Lansing, MI, USA
- Hui Liu 0032 — Saint Francis University, Department of Computing and Information Sciences, Hong Kong (and 2 more)
- Hui Liu 0033 — Queen's University, Kingston, Canada (and 1 more)
- Hui Liu 0034 — Peking University, Wangxuan Institute of Computer Technology, MOE Key Laboratory of Computational Linguistics, Beijing, China
- Hui Liu 0035 — University of Bremen, Germany
- Hui Liu 0036 — City University of Hong Kong, Department of Electrical Engineering, Hong Kong
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2020 – today
- 2024
[j28]Hui Liu, Yang Zhang, Judong Luo:
Contrastive learning-based histopathological features infer molecular subtypes and clinical outcomes of breast cancer from unannotated whole slide images. Comput. Biol. Medicine 170: 107997 (2024)- [j27]Jia Zhai, Hui Liu:
Cross-Domain Feature Disentanglement for Interpretable Modeling of Tumor Microenvironment Impact on Drug Response. IEEE J. Biomed. Health Informatics 28(7): 4382-4392 (2024) - [c7]Xu Zhang, Fan Ni, Guannan Dong, Aichun Zhu, Jianhui Wu, Mingcheng Ni, Hui Liu:
TVPR: Text-to-Video Person Retrieval and a New Benchmark. ACM Multimedia 2024: 10105-10113 - 2023
- [i6]Fan Ni, Xu Zhang, Jianhui Wu, Guannan Dong, Aichun Zhu, Hui Liu, Yue Zhang:
TVPR: Text-to-Video Person Retrieval and a New Benchmark. CoRR abs/2307.07184 (2023) - [i5]Wei Huang, Aichun Zhu, Hui Liu:
Interpretable Modeling of Single-cell perturbation Responses to Novel Drugs Using Cycle Consistence Learning. CoRR abs/2311.10315 (2023) - 2022
- [j26]Jinxian Wang, Xuejun Liu, Siyuan Shen, Lei Deng, Hui Liu:
DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations. Briefings Bioinform. 23(1) (2022) - [j25]Haojie Huang, Gongming Zhou, Xuejun Liu, Lei Deng, Chen Wu, Dachuan Zhang, Hui Liu:
Contrastive learning-based computational histopathology predict differential expression of cancer driver genes. Briefings Bioinform. 23(5) (2022) - [j24]Hui Liu, Yibiao Huang, Xuejun Liu, Lei Deng:
Attention-wise masked graph contrastive learning for predicting molecular property. Briefings Bioinform. 23(5) (2022) - [j23]Jie Wang, Min Wu, Xuhui Huang, Li Wang, Sophia Zhang, Hui Liu, Jie Zheng:
SynLethDB 2.0: a web-based knowledge graph database on synthetic lethality for novel anticancer drug discovery. Database J. Biol. Databases Curation 2022(2022) (2022) - [j22]Lei Deng, Yibiao Huang, Xuejun Liu, Hui Liu:
Graph2MDA: a multi-modal variational graph embedding model for predicting microbe-drug associations. Bioinform. 38(4): 1118-1125 (2022) - [j21]Lei Deng, Dayun Liu, Yizhan Li, Runqi Wang, Junyi Liu, Jiaxuan Zhang, Hui Liu:
MSPCD: predicting circRNA-disease associations via integrating multi-source data and hierarchical neural network. BMC Bioinform. 23-S(3): 427 (2022) - [j20]Lei Deng, Ziyu Fan, Xiaojun Xiao, Hui Liu, Jiaxuan Zhang:
Dual-Channel Heterogeneous Graph Neural Network for Predicting microRNA-Mediated Drug Sensitivity. J. Chem. Inf. Model. 62(23): 5929-5937 (2022) - [i4]Haojie Huang, Gongming Zhou, Xuejun Liu, Lei Deng, Chen Wu, Dachuan Zhang, Hui Liu:
Contrastive learning-based computational histopathology predict differential expression of cancer driver genes. CoRR abs/2204.11994 (2022) - [i3]Hui Liu, Yibiao Huang, Xuejun Liu, Lei Deng:
Attention-wise masked graph contrastive learning for predicting molecular property. CoRR abs/2206.08262 (2022) - 2021
- [c6]Yuanyuan Deng, Song Yu, Lei Deng, Hui Liu, Xuejun Liu, Yi Luo:
A multi-task graph convolutional network modeling of drug-drug interactions and synergistic efficacy. BIBM 2021: 368-371 - [i2]Jinxian Wang, Xuejun Liu, Siyuan Shen, Lei Deng, Hui Liu:
DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations. CoRR abs/2107.02467 (2021) - [i1]Lei Deng, Yibiao Huang, Xuejun Liu, Hui Liu:
Graph2MDA: a multi-modal variational graph embedding model for predicting microbe-drug associations. CoRR abs/2108.06338 (2021) - 2020
- [j19]Hui Liu, Wenhao Zhang, Yinglong Song, Lei Deng, Shuigeng Zhou:
HNet-DNN: Inferring New Drug-Disease Associations with Deep Neural Network Based on Heterogeneous Network Features. J. Chem. Inf. Model. 60(4): 2367-2376 (2020) - [j18]Lei Deng, Yideng Cai, Wenhao Zhang, Wenyi Yang, Bo Gao, Hui Liu:
Pathway-Guided Deep Neural Network toward Interpretable and Predictive Modeling of Drug Sensitivity. J. Chem. Inf. Model. 60(10): 4497-4505 (2020) - [j17]Hui Liu, Wenhao Zhang, Bo Zou, Jinxian Wang, Yuanyuan Deng, Lei Deng:
DrugCombDB: a comprehensive database of drug combinations toward the discovery of combinatorial therapy. Nucleic Acids Res. 48(Database-Issue): D871-D881 (2020) - [c5]Lei Deng, Jing Yang, Hui Liu:
Predicting circRNA-disease associations using meta path-based representation learning on heterogenous network. BIBM 2020: 5-10
2010 – 2019
- 2019
- [j16]Hui Liu, Wenhao Zhang, Lixia Nie, Xiancheng Ding, Judong Luo, Ling Zou:
Predicting effective drug combinations using gradient tree boosting based on features extracted from drug-protein heterogeneous network. BMC Bioinform. 20(1): 645 (2019) - [j15]Lei Deng, Guolun Zhong, Chenzhe Liu, Judong Luo, Hui Liu:
MADOKA: an ultra-fast approach for large-scale protein structure similarity searching. BMC Bioinform. 20-S(19): 662 (2019) - [c4]Lei Deng, Youzhi Liu, Yechuan Shi, Hui Liu:
A deep neural network approach using distributed representations of RNA sequence and structure for identifying binding site of RNA-binding proteins. BIBM 2019: 12-17 - [c3]Lei Deng, Hui Wu, Hui Liu:
D2VCB: A Hybrid Deep Neural Network for the Prediction of in-vivo Protein-DNA Binding from Combined DNA Sequence. BIBM 2019: 74-77 - 2018
- [j14]Lei Deng, Juan Pan, Xiaojie Xu, Wenyi Yang, Chuyao Liu, Hui Liu:
PDRLGB: precise DNA-binding residue prediction using a light gradient boosting machine. BMC Bioinform. 19-S(19): 135-145 (2018) - [j13]Zhanzhan Cheng, Shuigeng Zhou, Yang Wang, Hui Liu, Jihong Guan, Yi-Ping Phoebe Chen:
Effectively Identifying Compound-Protein Interactions by Learning from Positive and Unlabeled Examples. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1832-1843 (2018) - [c2]Lei Deng, Zuojin Dong, Hui Liu:
XPredRBR: Accurate and Fast Prediction of RNA-Binding Residues in Proteins Using eXtreme Gradient Boosting. ISBRA 2018: 163-173 - 2017
- [j12]Zhanzhan Cheng, Kai Huang, Yang Wang, Hui Liu, Jihong Guan, Shuigeng Zhou:
Selecting high-quality negative samples for effectively predicting protein-RNA interactions. BMC Syst. Biol. 11(S-2): 9:1-9:11 (2017) - [j11]Hui Liu, Shuigeng Zhou, Wai Lam, Jihong Guan:
A new hybrid method for learning bayesian networks: Separation and reunion. Knowl. Based Syst. 121: 185-197 (2017) - 2016
- [j10]Hui Liu, Yinglong Song, Jihong Guan, Libo Luo, Ziheng Zhuang:
Inferring new indications for approved drugs via random walk on drug-disease heterogenous networks. BMC Bioinform. 17(S-17): 269-277 (2016) - [j9]Hui Liu, Mengmeng Guo, Ting Xue, Jihong Guan, Libo Luo, Ziheng Zhuang:
Screening lifespan-extending drugs in Caenorhabditis elegans via label propagation on drug-protein networks. BMC Syst. Biol. 10(4): 509-519 (2016) - [j8]Fan Zhang, Haoting Chen, Li Na Zhao, Hui Liu, Teresa M. Przytycka, Jie Zheng:
Generalized logical model based on network topology to capture the dynamical trends of cellular signaling pathways. BMC Syst. Biol. 10(S-1): 7 (2016) - [j7]Jing Guo, Hui Liu, Jie Zheng:
SynLethDB: synthetic lethality database toward discovery of selective and sensitive anticancer drug targets. Nucleic Acids Res. 44(Database-Issue): 1011-1017 (2016) - 2015
- [j6]Hui Liu, Jianjiang Sun, Jihong Guan, Jie Zheng, Shuigeng Zhou:
Improving compound-protein interaction prediction by building up highly credible negative samples. Bioinform. 31(12): 221-229 (2015) - 2014
- [j5]Hui Liu, Ruichang Zhang, Wei Xiong, Jihong Guan, Ziheng Zhuang, Shuigeng Zhou:
A comparative evaluation on prediction methods of nucleosome positioning. Briefings Bioinform. 15(6): 1014-1027 (2014) - [j4]Wei Xiong, Luyu Xie, Shuigeng Zhou, Hui Liu, Jihong Guan:
The centrality of cancer proteins in human protein-protein interaction network: a revisit. Int. J. Comput. Biol. Drug Des. 7(2/3): 146-156 (2014) - 2013
- [j3]Wei Xiong, Hui Liu, Jihong Guan, Shuigeng Zhou:
Protein function prediction by collective classification with explicit and implicit edges in protein-protein interaction networks. BMC Bioinform. 14(S-12): S4 (2013) - [j2]Hui Liu, Shuigeng Zhou, Jihong Guan:
Identifying Mammalian MicroRNA Targets Based on Supervised Distance Metric Learning. IEEE J. Biomed. Health Informatics 17(2): 427-435 (2013) - 2012
- [c1]Wei Xiong, Hui Liu, Jihong Guan, Shuigeng Zhou:
Effectively predicting protein functions by collective classification - An extended abstract. BIBM Workshops 2012: 634-639 - 2010
- [j1]Hui Liu, Shuigeng Zhou, Jihong Guan:
Detecting microarray data supported microRNA-mRNA interactions. Int. J. Data Min. Bioinform. 4(6): 639-655 (2010)
Coauthor Index
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