Lihong Peng

According to our database, Lihong Peng authored at least 25 papers between 2004 and 2024.

Collaborative distances:

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

2024

CellDialog: A Computational Framework for Ligand-Receptor-Mediated Cell-Cell Communication Analysis.

Lihong Peng, Wei Xiong, Chendi Han, Zejun Li, Xing Chen

IEEE J. Biomed. Health Informatics, January, 2024

MGNDTI: A Drug-Target Interaction Prediction Framework Based on Multimodal Representation Learning and the Gating Mechanism.

Lihong Peng, Xin Liu, Min Chen, Wen Liao, Jiale Mao, Liqian Zhou

J. Chem. Inf. Model., 2024

Identifying potential ligand-receptor interactions based on gradient boosted neural network and interpretable boosting machine for intercellular communication analysis.

Lihong Peng, Pengfei Gao, Wei Xiong, Zejun Li, Xing Chen

Comput. Biol. Medicine, 2024

Multi-Level fusion graph neural network: Application to PET and CT imaging for risk stratification of head and neck cancer.

Junyi Peng, Lihong Peng, Zidong Zhou, Xu Han, Hui Xu, Lijun Lu, Wenbing Lv

Biomed. Signal Process. Control., 2024

2023

STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and k-sums clustering.

Lihong Peng, Xianzhi He, Xinhuai Peng, Zejun Li, Li Zhang

Comput. Biol. Medicine, November, 2023

Deciphering ligand-receptor-mediated intercellular communication based on ensemble deep learning and the joint scoring strategy from single-cell transcriptomic data.

Lihong Peng, Jingwei Tan, Wei Xiong, Li Zhang, Zhao Wang, Ruya Yuan, Zejun Li, Xing Chen

Comput. Biol. Medicine, September, 2023

Functional-structural sub-region graph convolutional network (FSGCN): Application to the prognosis of head and neck cancer with PET/CT imaging.

Wenbing Lv, Zidong Zhou, Junyi Peng, Lihong Peng, Guoyu Lin, Huiqin Wu, Hui Xu, Lijun Lu

Comput. Methods Programs Biomed., March, 2023

2022

Finding lncRNA-Protein Interactions Based on Deep Learning With Dual-Net Neural Architecture.

Lihong Peng, Chang Wang, Xiongfei Tian, Liqian Zhou, Keqin Li

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

VDA-RWLRLS: An anti-SARS-CoV-2 drug prioritizing framework combining an unbalanced bi-random walk and Laplacian regularized least squares.

Ling Shen, Fuxing Liu, Li Huang, Guangyi Liu, Liqian Zhou, Lihong Peng

Comput. Biol. Medicine, 2022

Cell-cell communication inference and analysis in the tumour microenvironments from single-cell transcriptomics: data resources and computational strategies.

Lihong Peng, Feixiang Wang, Zhao Wang, Jingwei Tan, Li Huang, Xiongfei Tian, Guangyi Liu, Liqian Zhou

Briefings Bioinform., 2022

Analyses of cell-to-cell communication combining a heterogeneous deep ensemble framework and scoring approaches from single-cell RNA sequencing data.

Lihong Peng, Ruya Yuan, Chendi Han, Jingwei Tan, Zhao Wang, Min Chen, Xing Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

A deep learning-based unsupervised learning method for spatially resolved transcriptomic data analysist.

Lihong Peng, Xianzhi He, Li Zhang, Xinhuai Peng, Yuankang Lu, Zejun Li, Xing Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Identifying possible lncRNA-disease associations based on deep learning and positive-unlabeled learning.

Lihong Peng, Liangliang Huang, Yuankang Lu, Guangyi Liu, Min Chen, Guosheng Han

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

LPI-deepGBDT: a multiple-layer deep framework based on gradient boosting decision trees for lncRNA-protein interaction identification.

Liqian Zhou, Zhao Wang, Xiongfei Tian, Lihong Peng

BMC Bioinform., 2021

LPI-HyADBS: a hybrid framework for lncRNA-protein interaction prediction integrating feature selection and classification.

Liqian Zhou, Qi Duan, Xiongfei Tian, He Xu, Jianxin Tang, Lihong Peng

BMC Bioinform., 2021

LPI-EnEDT: an ensemble framework with extra tree and decision tree classifiers for imbalanced lncRNA-protein interaction data classification.

Lihong Peng, Ruya Yuan, Ling Shen, Pengfei Gao, Liqian Zhou

BioData Min., 2021

Dynamic PET Image Denoising Using Deep Image Prior Combined With Regularization by Denoising.

Hao Sun, Lihong Peng, Hongyan Zhang, Yuru He, Shuangliang Cao, Lijun Lu

IEEE Access, 2021

2018

Improved DNA-Binding Protein Identification by Incorporating Evolutionary Information Into the Chou's PseAAC.

Xiangzheng Fu, Wen Zhu, Bo Liao, Lijun Cai, Lihong Peng, Jialiang Yang

IEEE Access, 2018

2017

Predicting Drug-Target Interactions With Multi-Information Fusion.

Lihong Peng, Bo Liao, Wen Zhu, Zejun Li, Keqin Li

IEEE J. Biomed. Health Informatics, 2017

2015

On Efficient Feature Ranking Methods for High-Throughput Data Analysis.

Bo Liao, Yan Jiang, Wei Liang, Lihong Peng, Li Peng, Damien Hanyurwimfura, Zejun Li, Min Chen

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

2014

Locality-Constrained Low-Rank Coding for Image Classification.

Ziheng Jiang, Ping Guo, Lihong Peng

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2011

Improving the Adaptiveness of FAST TCP Based on the Stability with Time-Delay.

Kefei Wang, Heying Zhang, Lihong Peng, Baohua Fan

Proceedings of the IEEE 10th International Conference on Trust, 2011

2010

A network comparison algorithm for predicting the conservative interaction regions in protein-protein interaction network.

Lihong Peng, Lipeng Liu, Shi Chen, Quanwei Sheng

Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

2009

Stability of FAST TCP in Single-Link Multi-source Network.

Heying Zhang, Lihong Peng, Baohua Fan, Jie Jiang, Ying Zhang

Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

2004

An exploration of the uncertainty relation satisfied by BP network learning ability and generalization ability.

Zuoyong Li, Lihong Peng

Sci. China Ser. F Inf. Sci., 2004