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ORCIDLei Deng 0002
Person information
- affiliation: Central South University, School of Software, Changsha, China
Other persons with the same name
- Lei Deng — disambiguation page
- Lei Deng 0001
![[0000-0002-0584-1146]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-0584-1146")
— Dongguan University of Technology, School of Electrical Engineering and Intelligentization, China (and 2 more) - Lei Deng 0003 — University of California at Santa Barbara, Department of Electrical and Computer Engineering, CA, USA (and 1 more)
- Lei Deng 0004 — University of Electronic Science and Technology of China, School of Mathematical Sciences, Chengdu, China
- Lei Deng 0005 — Capital Normal University, College of Resource Environment and Tourism, Beijing, China
- Lei Deng 0006 — Huazhong University of Science and Technology, Wuhan, China (and 1 more)
- Lei Deng 0007 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (and 2 more)
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2020 – today
- 2024
[j51]Ru Zhang, Yanmei Lin, Yijia Wu, Lei Deng, Hao Zhang, Mingzhi Liao, Yuzhong Peng:
MvMRL: a multi-view molecular representation learning method for molecular property prediction. Briefings Bioinform. 25(4) (2024)- [j50]Zhijian Huang, Ziyu Fan, Siyuan Shen, Min Wu, Lei Deng:
MolMVC: Enhancing molecular representations for drug-related tasks through multi-view contrastive learning. Bioinform. 40(Supplement_2): ii190-ii197 (2024) - [j49]Xinhui Li, Yurong Qian, Yue Hu, Jiaying Chen, Haitao Yue, Lei Deng:
MSF-PFP: A Novel Multisource Feature Fusion Model for Protein Function Prediction. J. Chem. Inf. Model. 64(5): 1502-1511 (2024) - [j48]Xiaowen Hu, Ying Jiang, Lei Deng:
Exploring ncRNA-Drug Sensitivity Associations via Graph Contrastive Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 21(5): 1380-1389 (2024) - [j47]Pan Zhang, Xiaowen Hu, Guangdi Li, Lei Deng:
AntiViralDL: Computational Antiviral Drug Repurposing Using Graph Neural Network and Self-Supervised Learning. IEEE J. Biomed. Health Informatics 28(1): 548-556 (2024) - [j46]Huamei Qi, Yuxuan Hu, Ruohao Fan, Lei Deng:
Tab-Cox: An Interpretable Deep Survival Analysis Model for Patients With Nasopharyngeal Carcinoma Based on TabNet. IEEE J. Biomed. Health Informatics 28(8): 4937-4950 (2024) - [j45]Xiaowen Hu, Pan Zhang, Jiaxuan Zhang, Lei Deng:
DeepFusionCDR: Employing Multi-Omics Integration and Molecule-Specific Transformers for Enhanced Prediction of Cancer Drug Responses. IEEE J. Biomed. Health Informatics 28(10): 6248-6258 (2024) - [c30]Yue Luo, Lei Deng:
Hierarchical Molecular Structure Network with Co-attention Mechanism for Drug-Drug Interaction Prediction. BIBM 2024: 73-78 - [c29]Tianxiang Ouyang, Zhijian Huang, Lei Deng:
Enhancing miRNA-Disease Prediction with Attention-Based Multi-View Contrastive Learning. BIBM 2024: 1104-1109 - [c28]Huamei Qi, Wenqin Zou, Sen Fu, Lei Deng:
A Self-Attention Synthesizing Model with Privacy-Preserving(ACCT-GAN) for Medical Tabular Data. BIBM 2024: 1129-1134 - [c27]Huamei Qi, Wenhui Yang, Sen Fu, Lei Deng:
Imputation of incomplete medical data using missing neighborhood perturbation denoising autoencoder. BIBM 2024: 2345-2350 - [c26]Haifeng Qi, Siyuan Shen, Zhijian Huang, Lei Deng:
DTA-Net: Dual-Task Attention Network for Medical Image Segmentation and Classification. BIBM 2024: 2351-2356 - 2023
- [j44]Rongtao Zheng, Zhijian Huang, Lei Deng:
Large-scale predicting protein functions through heterogeneous feature fusion. Briefings Bioinform. 24(4) (2023) - [j43]Zhijian Huang, Pan Zhang, Lei Deng:
DeepCoVDR: deep transfer learning with graph transformer and cross-attention for predicting COVID-19 drug response. Bioinform. 39(Supplement-1): 475-483 (2023) - [j42]Lei Deng, Ying Jiang, Xiaowen Hu, Rongtao Zheng, Zhijian Huang, Jingpu Zhang:
ABLNCPP: Attention Mechanism-Based Bidirectional Long Short-Term Memory for Noncoding RNA Coding Potential Prediction. J. Chem. Inf. Model. 63(12): 3955-3966 (2023) - [j41]Jiwen Liu, Zhufang Kuang, Lei Deng:
GCNPCA: miRNA-Disease Associations Prediction Algorithm Based on Graph Convolutional Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1041-1052 (2023) - [j40]Zhihao Ma, Zhufang Kuang, Lei Deng:
NGCICM: A Novel Deep Learning-Based Method for Predicting circRNA-miRNA Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 3080-3092 (2023) - [j39]Yurong Qian, Jingjing Zheng, Ying Jiang, Shaoqiu Li, Lei Deng:
Prediction of circRNA-MiRNA Association Using Singular Value Decomposition and Graph Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3461-3468 (2023) - [j38]Dayun Liu, Xianghui Li, Liangliang Zhang, Xiaowen Hu, Jiaxuan Zhang, Zhirong Liu, Lei Deng:
HGNNLDA: Predicting lncRNA-Drug Sensitivity Associations via a Dual Channel Hypergraph Neural Network. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3547-3555 (2023) - [c25]Jie Chen, Yurong Qian, Zhijian Huang, Xiaojun Xiao, Lei Deng:
Enhancing Protein Solubility Prediction through Pre-trained Language Models and Graph Convolutional Neural Networks. BIBM 2023: 11-16 - [c24]Yihan Dong, Xiaowen Hu, Zhijian Huang, Lei Deng:
TGC-ARG: Predicting Antibiotic Resistance through Transformer-based Modeling and Contrastive Learning. BIBM 2023: 17-22 - [c23]Xiaojun Xiao, Yurong Qian, Zhijian Huang, Rongtao Zheng, Lei Deng:
Predicting Associations between circRNAs and Drug Sensitivity using Heterogeneous Graphs and Graph Attention Networks. BIBM 2023: 191-196 - [c22]Yuanpeng Zhang, Yurong Qian, Xiaojun Xiao, Xiaowen Hu, Zhijian Huang, Lei Deng:
PTDA-SWGCL: Predicting tRNA-Disease Associations using Supplementarily Weighted Graph Contrastive Learning. BIBM 2023: 209-214 - 2022
- [j37]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) - [j36]Jinxian Wang, Ying Zhang, Wenjuan Nie, Yi Luo, Lei Deng:
Computational anti-COVID-19 drug design: progress and challenges. Briefings Bioinform. 23(1) (2022) - [j35]Wenjuan Nie, Lei Deng:
TSNAPred: predicting type-specific nucleic acid binding residues via an ensemble approach. Briefings Bioinform. 23(4) (2022) - [j34]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) - [j33]Hui Liu, Yibiao Huang, Xuejun Liu, Lei Deng:
Attention-wise masked graph contrastive learning for predicting molecular property. Briefings Bioinform. 23(5) (2022) - [j32]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) - [j31]Lei Deng, Zixuan Liu, Yurong Qian, Jingpu Zhang:
Predicting circRNA-drug sensitivity associations via graph attention auto-encoder. BMC Bioinform. 23(1): 160 (2022) - [j30]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) - [j29]Jingjing Zheng, Yurong Qian, Jie He, Zerui Kang, Lei Deng:
Graph Neural Network with Self-Supervised Learning for Noncoding RNA-Drug Resistance Association Prediction. J. Chem. Inf. Model. 62(15): 3676-3684 (2022) - [j28]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) - [j27]Genwei Han, Zhufang Kuang, Lei Deng:
MSCNE: Predict miRNA-Disease Associations Using Neural Network Based on Multi-Source Biological Information. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2926-2937 (2022) - [j26]Dayun Liu, Junyi Liu, Yi Luo, Qihua He, Lei Deng:
MGATMDA: Predicting Microbe-Disease Associations via Multi-Component Graph Attention Network. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3578-3585 (2022) - [c21]Zhijian Huang, Rongtao Zheng, Lei Deng:
DeepFusionGO: Protein function prediction by fusing heterogeneous features through deep learning. BIBM 2022: 12-17 - [c20]Guolun Zhong, Lei Deng:
inACP: An integrated approach to the prediction of anticancer peptides. BIBM 2022: 38-43 - [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
- [j25]Junyi Liu, Siyu Liu, Chenzhe Liu, Yaping Zhang, Yuliang Pan, Zixiang Wang, Jiacheng Wang, Ting Wen, Lei Deng:
Nabe: an energetic database of amino acid mutations in protein-nucleic acid binding interfaces. Database J. Biol. Databases Curation 2021 (2021) - [j24]Dayun Liu, Yibiao Huang, Wenjuan Nie, Jiaxuan Zhang, Lei Deng:
SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost. BMC Bioinform. 22(1): 219 (2021) - [j23]Zhihao Ma, Zhufang Kuang, Lei Deng:
CRPGCN: predicting circRNA-disease associations using graph convolutional network based on heterogeneous network. BMC Bioinform. 22(1): 551 (2021) - [j22]Liang Shu, Cheng Zhou, Xinxu Yuan, Jingpu Zhang, Lei Deng:
MSCFS: inferring circRNA functional similarity based on multiple data sources. BMC Bioinform. 22-S(10): 371 (2021) - [j21]Lei Deng, Wenkai Li, Jingpu Zhang:
LDAH2V: Exploring Meta-Paths Across Multiple Networks for lncRNA-Disease Association Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1572-1581 (2021) - [c19]Dayun Liu, Yi Luo, Jingjing Zheng, Hanlin Xu, Jiaxuan Zhang, Lei Deng:
GCNSDA: Predicting snoRNA-disease associations via graph convolutional network. BIBM 2021: 183-188 - [c18]Yurong Qian, Jingjing Zheng, Zhe Zhang, Ying Jiang, Jiaxuan Zhang, Lei Deng:
CMIVGSD: circRNA-miRNA Interaction Prediction Based on Variational Graph Auto-Encoder and Singular Value Decomposition. BIBM 2021: 205-210 - [c17]Song Yu, Hanlin Xu, Yizhan Li, Dayun Liu, Lei Deng:
LGCMDS: Predicting miRNA-Drug Sensitivity based on Light Graph Convolution Network. BIBM 2021: 217-222 - [c16]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 - [c15]Siyuan Shen, Yurong Qian, Jingjing Zheng, Junyi Liu, Lei Deng:
Accurately Predicting circRNA-disease Associations Using Variational Graph Auto-encoders and LightGBM. BIBM 2021: 522-527 - [c14]Yurong Qian, Qihua He, Lei Deng:
iPiDA-GBNN: Identification of Piwi-interacting RNA-disease associations based on gradient boosting neural network. BIBM 2021: 1045-1050 - [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
- [j20]Lei Deng, Wei Lin, Jiacheng Wang, Jingpu Zhang:
DeepciRGO: functional prediction of circular RNAs through hierarchical deep neural networks using heterogeneous network features. BMC Bioinform. 21(1): 519 (2020) - [j19]Lei Deng, Yong Gao:
Gammachirp filter banks applied in roust speaker recognition based on GMM-UBM classifier. Int. Arab J. Inf. Technol. 17(2): 170-177 (2020) - [j18]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) - [j17]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) - [j16]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) - [c13]Lei Deng, Jing Yang, Hui Liu:
Predicting circRNA-disease associations using meta path-based representation learning on heterogenous network. BIBM 2020: 5-10 - [c12]Lei Deng, Jiaojiao Zhao, Jingpu Zhang:
Predict the Protein-protein Interaction between Virus and Host through Hybrid Deep Neural Network. BIBM 2020: 11-16 - [c11]Jialong Chen, Lei Deng:
DeepARC: An Attention-based Hybrid Model for Predicting Transcription Factor Binding Sites from Positional Embedded DNA Sequence. BIBM 2020: 180-185 - [c10]Jinxian Wang, Yuanyuan Deng, Liang Shu, Lei Deng:
Machine learning-based methods and novel data models to predict adverse drug reaction. BIBM 2020: 1226-1230
2010 – 2019
- 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) - [j14]Lei Deng, Danyi Ye, Junmin Zhao, Jingpu Zhang:
MultiSourcDSim: an integrated approach for exploring disease similarity. BMC Medical Informatics Decis. Mak. 19-S(6): 269 (2019) - [j13]Jingpu Zhang, Zuping Zhang, Zhigang Chen, Lei Deng:
Integrating Multiple Heterogeneous Networks for Novel LncRNA-Disease Association Inference. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 396-406 (2019) - [j12]Zuping Zhang, Jingpu Zhang, Chao Fan, Yongjun Tang, Lei Deng:
KATZLGO: Large-Scale Prediction of LncRNA Functions by Using the KATZ Measure Based on Multiple Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 407-416 (2019) - [c9]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 - [c8]Lei Deng, Xin Sun, Wei Lin, Jingpu Zhang:
DKCirc2GO: Predicting Gene Ontology of circRNAs Using Dual KATZ Approach. BIBM 2019: 18-23 - [c7]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
- [j11]Jingpu Zhang, Zuping Zhang, Zixiang Wang, Yuting Liu, Lei Deng:
Ontological function annotation of long non-coding RNAs through hierarchical multi-label classification. Bioinform. 34(10): 1750-1757 (2018) - [j10]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) - [j9]Lei Deng, Hongjie Wu, Chuyao Liu, Weihua Zhan, Jingpu Zhang:
Probing the functions of long non-coding RNAs by exploiting the topology of global association and interaction network. Comput. Biol. Chem. 74: 360-367 (2018) - [c6]Lei Deng, Danyi Ye, Junmin Zhao, Jingpu Zhang:
Exploring Disease Similarity by Integrating Multiple Data Sources. BIBM 2018: 853-858 - [c5]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
- [j8]Lei Deng, Chao Fan, Zhiwen Zeng:
A sparse autoencoder-based deep neural network for protein solvent accessibility and contact number prediction. BMC Bioinform. 18(16): 211-220 (2017) - [j7]Yongjun Tang, Diwei Liu, Zixiang Wang, Ting Wen, Lei Deng:
A boosting approach for prediction of protein-RNA binding residues. BMC Bioinform. 18(S-13): 47-58 (2017) - [c4]Jingpu Zhang, Shuai Zou, Lei Deng:
BiRWLGO: A global network-based strategy for lncRNA function annotation using bi-random walk. BIBM 2017: 50-55 - 2016
- [j6]Chao Fan, Diwei Liu, Rui Huang, Zhigang Chen, Lei Deng:
PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility. BMC Bioinform. 17(S-1): 8 (2016) - [c3]Diwei Liu, Yongjun Tang, Chao Fan, Zhigang Chen, Lei Deng:
PredRBR: Accurate Prediction of RNA-Binding Residues in proteins using Gradient Tree Boosting. BIBM 2016: 47-52 - 2015
- [j5]Lei Deng, Zhigang Chen:
An Integrated Framework for Functional Annotation of Protein Structural Domains. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 902-913 (2015) - 2014
- [j4]Lei Deng, Qiangfeng Cliff Zhang, Zhigang Chen, Yang Meng, Jihong Guan, Shuigeng Zhou:
PredHS: a web server for predicting protein-protein interaction hot spots by using structural neighborhood properties. Nucleic Acids Res. 42(Webserver-Issue): 290-295 (2014) - [c2]Yang Meng, Lei Deng, Zhigang Chen, Cheng Zhou, Diwei Liu, Chao Fan, Ting Yan:
A Multi-Instance Multi-Label Learning Approach for Protein Domain Annotation. ICIC (3) 2014: 104-111 - [c1]Yong Gao, Weilin Hao, Zhigang Chen, Lei Deng:
Structure-Based Prediction of Protein Phosphorylation Sites Using an Ensemble Approach. ICIC (3) 2014: 119-125 - 2013
- [j3]Lei Deng, Jihong Guan, Xiaoming Wei, Yuan Yi, Qiangfeng Cliff Zhang, Shuigeng Zhou:
Boosting Prediction Performance of Protein-Protein Interaction Hot Spots by Using Structural Neighborhood Properties. J. Comput. Biol. 20(11): 878-891 (2013) - [j2]Qiangfeng Cliff Zhang, Donald Petrey, José Ignacio Garzón, Lei Deng, Barry Honig:
PrePPI: a structure-informed database of protein-protein interactions. Nucleic Acids Res. 41(Database-Issue): 828-833 (2013) - 2011
- [j1]Qiangfeng Cliff Zhang, Lei Deng, Markus Fisher, Jihong Guan, Barry Honig, Donald Petrey:
PredUs: a web server for predicting protein interfaces using structural neighbors. Nucleic Acids Res. 39(Web-Server-Issue): 283-287 (2011)
Coauthor Index
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