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)

Stability of FAST TCP in Single-Link Multi-source Network. - Heying Zhang; Lihong Peng; Baohua Fan; Jie Jiang 009; Ying Zhang (CSIE (1), 2009)

A network comparison algorithm for predicting the conservative interaction regions in protein-protein interaction network. - Lihong Peng; Lipeng Liu; Shi Chen; Quanwei Sheng (BIC-TA, 2010)

Improving the Adaptiveness of FAST TCP Based on the Stability with Time-Delay. - Kefei Wang; Heying Zhang; Lihong Peng; Baohua Fan (TrustCom, 2011)

Locality-Constrained Low-Rank Coding for Image Classification. - Ziheng Jiang; Ping Guo; Lihong Peng (AAAI, 2014)

On Efficient Feature Ranking Methods for High-Throughput Data Analysis. - Bo Liao; Yan Jiang; Wei Liang 005; Lihong Peng; Li Peng; Damien Hanyurwimfura; Zejun Li; Min Chen 028 (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

Predicting Drug-Target Interactions With Multi-Information Fusion. - Lihong Peng; Bo Liao; Wen Zhu; Zejun Li; Keqin Li 001 (IEEE J. Biomed. Health Informatics, 2017)

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)

Dynamic PET Image Denoising Using Deep Image Prior Combined With Regularization by Denoising. - Hao Sun 025; Lihong Peng; Hongyan Zhang; Yuru He; Shuangliang Cao; Lijun Lu (IEEE Access, 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)

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-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)

Identifying possible lncRNA-disease associations based on deep learning and positive-unlabeled learning. - Lihong Peng; Liangliang Huang; Yuankang Lu; Guangyi Liu; Min Chen 028; Guosheng Han (BIBM, 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 001 (BIBM, 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 003; Xing Chen 001 (BIBM, 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)

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)

Finding lncRNA-Protein Interactions Based on Deep Learning With Dual-Net Neural Architecture. - Lihong Peng; Chang Wang; Xiongfei Tian; Liqian Zhou; Keqin Li 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

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., 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 001 (Comput. Biol. Medicine, 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, 2023)

LDA-VGHB: identifying potential lncRNA-disease associations with singular value decomposition, variational graph auto-encoder and heterogeneous Newton boosting machine. - Lihong Peng; Liangliang Huang; Qiongli Su; Geng Tian; Min Chen 028; Guosheng Han (Briefings Bioinform., 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)

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 001 (Comput. Biol. Medicine, 2024)

MGNDTI: A Drug-Target Interaction Prediction Framework Based on Multimodal Representation Learning and the Gating Mechanism. - Lihong Peng; Xin Liu 116; Min Chen 028; Wen Liao; Jiale Mao; Liqian Zhou (J. Chem. Inf. Model., 2024)

CellDialog: A Computational Framework for Ligand-Receptor-Mediated Cell-Cell Communication Analysis. - Lihong Peng; Wei Xiong; Chendi Han; Zejun Li; Xing Chen 001 (IEEE J. Biomed. Health Informatics, 2024)

Predicting cell-cell communication by combining heterogeneous ensemble deep learning and weighted geometric mean. - Lihong Peng; Longlong Liu; Liangliang Huang; Zongzheng Bai; Min Chen 028; Xing Chen 001 (Appl. Soft Comput., 2025)

DO-GMA: An End-to-End Drug-Target Interaction Identification Framework with a Depthwise Overparameterized Convolutional Network and the Gated Multihead Attention Mechanism. - Lihong Peng; Jiale Mao; Guohua Huang; Guosheng Han; Xin Liu 116; Wen Liao; Geng Tian; Jialiang Yang (J. Chem. Inf. Model., 2025)

Prediction of Ligand-Receptor Interactions Based on CatBoost and Deep Forest and Their Application in Cell-Cell Communication Analysis. - Wei Wu; Zhao Wang; Longlong Liu; Junfeng Huang; Haifan Qiu; Lihong Peng; Libo Nie (J. Chem. Inf. Model., 2025)

DTI-MvSCA: An Anti-Over-Smoothing Multi-View Framework With Negative Sample Selection for Predicting Drug-Target Interactions. - Lihong Peng; Zongzheng Bai; Longlong Liu; Long Yang; Xin Liu 116; Min Chen 028; Xing Chen 001 (IEEE J. Biomed. Health Informatics, 2025)

BINDTI: A Bi-Directional Intention Network for Drug-Target Interaction Identification Based on Attention Mechanisms. - Lihong Peng; Xin Liu 116; Long Yang; Longlong Liu; Zongzheng Bai; Min Chen 028; Xu Lu 002; Libo Nie (IEEE J. Biomed. Health Informatics, 2025)