A Self-Adaptive Mutation-Particle Swarm Optimization Algorithm. - Zhengwei Li 001; Guojun Tan (ICNC (1), 2008)

Hybrid particle swarm optimization algorithm and its application. - Zhengwei Li 001; Guojun Tan; Hao Li (ICNC, 2010)

Fault Diagnosis Based on Improved Kernel Fisher Discriminant Analysis. - Zhengwei Li 001; Guojun Tan; Yuan Li (J. Softw., 2012)

PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction. - Zhu-Hong You; Zhi-an Huang; Zexuan Zhu; Guiying Yan; Zheng-Wei Li 001; Zhenkun Wen; Xing Chen 001 (PLoS Comput. Biol., 2017)

Efficient Framework for Predicting ncRNA-Protein Interactions Based on Sequence Information by Deep Learning. - Zhaohui Zhan; Zhu-Hong You; Yong Zhou 003; Li-Ping Li 003; Zheng-Wei Li 001 (ICIC (2), 2018)

Precise Prediction of Pathogenic Microorganisms Using 16S rRNA Gene Sequences. - Yu-An Huang; Zhi-An Huang; Zhu-Hong You; Pengwei Hu 001; Li-Ping Li 003; Zheng-Wei Li 001; Lei Wang 121 (ICIC (2), 2019)

LRMDA: Using Logistic Regression and Random Walk with Restart for MiRNA-Disease Association Prediction. - Zhengwei Li 001; Ru Nie; Zhuhong You; Yan Zhao; Xin Ge; Yang Wang (ICIC (2), 2019)

An Efficient LightGBM Model to Predict Protein Self-interacting Using Chebyshev Moments and Bi-gram. - Zhaohui Zhan; Zhu-Hong You; Yong Zhou 003; Kai Zheng 020; Zheng-Wei Li 001 (ICIC (2), 2019)

Using discriminative vector machine model with 2DPCA to predict interactions among proteins. - Zhengwei Li 001; Ru Nie; Zhuhong You; Chen Cao 002; Jiashu Li (BMC Bioinform., 2019)

Prediction of potential miRNA-disease associations using matrix decomposition and label propagation. - Jia Qu; Xing Chen 001; Jun Yin; Yan Zhao; Zheng-Wei Li 001 (Knowl. Based Syst., 2019)

A Network Embedding-Based Method for Predicting miRNA-Disease Associations by Integrating Multiple Information. - Hao-Yuan Li; Zhu-Hong You; Zheng-Wei Li 001; Ji-Ren Zhou; Pengwei Hu 001 (ICIC (3), 2020)

Expression and Gene Regulation Network of ELF3 in Breast Invasive Carcinoma Based on Data Mining. - Chenxia Ren; Pengyong Han; Chandrasekhar Gopalakrishnan; Caixia Xu; Rajasekaran Ramalingam; Zhengwei Li 001 (ICIC (2), 2020)

GCNSP: A Novel Prediction Method of Self-Interacting Proteins Based on Graph Convolutional Networks. - Lei Wang 121; Zhu-Hong You; Xin Yan; Kai Zheng 020; Zheng-Wei Li 001 (ICIC (2), 2020)

Image Classification Based on Deep Belief Network and YELM. - ChengYong Zhang; Zhengwei Li 001; Ru Nie; Lei Wang 121; Huan Zhao (ICIC (1), 2020)

Predicting MiRNA-disease associations by multiple meta-paths fusion graph embedding model. - Lei Zhang 029; Bailong Liu; Zhengwei Li 001; Xiaoyan Zhu; Zhizhen Liang; Ji-Yong An (BMC Bioinform., 2020)

Study on the Mechanism of Cistanche in the Treatment of Colorectal Cancer Based on Network Pharmacology. - Yuan Dong; Caixia Xu; Chenxia Ren; Pengyong Han; Fei Ren; Zhengwei Li 001; Zibai Wei (ICIC (3), 2021)

Delineating QSAR Descriptors to Explore the Inherent Properties of Naturally Occurring Polyphenols, Responsible for Alpha-Synuclein Amyloid Disaggregation Scheming Towards Effective Therapeutics Against Parkinson's Disorder. - Chandrasekhar Gopalakrishnan; Caixia Xu; Pengyong Han; Rajasekaran Ramalingam; Zhengwei Li 001 (ICIC (3), 2021)

A graph auto-encoder model for miRNA-disease associations prediction. - Zhengwei Li 001; Jiashu Li; Ru Nie; Zhu-Hong You; Wenzheng Bao (Briefings Bioinform., 2021)

Combined embedding model for MiRNA-disease association prediction. - Bailong Liu; Xiaoyan Zhu; Lei Zhang 029; Zhizheng Liang; Zhengwei Li 001 (BMC Bioinform., 2021)

Efficient framework for predicting MiRNA-disease associations based on improved hybrid collaborative filtering. - Ru Nie; Zhengwei Li 001; Zhu-Hong You; Wenzheng Bao; Jiashu Li (BMC Medical Informatics Decis. Mak., 2021)

Elucidating Quantum Semi-empirical Based QSAR, for Predicting Tannins' Anti-oxidant Activity with the Help of Artificial Neural Network. - Chandrasekhar Gopalakrishnan; Caixia Xu; Yanran Li; Vinutha Anandhan; Sanjay Gangadharan; Meshach Paul; Chandra Sekar Ponnusamy; Rajasekaran Ramalingam; Pengyong Han; Zhengwei Li 001 (ICIC (2), 2022)

The Prognosis Model of Clear Cell Renal Cell Carcinoma Based on Allograft Rejection Markers. - Hailei Liu; Zhenqiong Chen; Chandrasekhar Gopalakrishnan; Rajasekaran Ramalingam; Pengyong Han; Zhengwei Li 001 (ICIC (2), 2022)

The CNV Predict Model in Esophagus Cancer. - Yun Tian; Caixia Xu; Lin Li; Pengyong Han; Zhengwei Li 001 (ICIC (2), 2022)

Research on the Potential Mechanism of Rhizoma Drynariae in the Treatment of Periodontitis Based on Network Pharmacology. - Caixia Xu; Xiaokun Yang; Zhipeng Wang; Pengyong Han; Xiaoguang Li; Zhengwei Li 001 (ICIC (2), 2022)

Prediction of MiRNA-Disease Association Based on Higher-Order Graph Convolutional Networks. - Zhengtao Zhang; Pengyong Han; Zhengwei Li 001; Ru Nie; Qiankun Wang (ICIC (2), 2022)

A machine learning framework based on multi-source feature fusion for circRNA-disease association prediction. - Lei Wang 121; Leon Wong; Zheng-Wei Li 001; Yuan Huang; Xiao-Rui Su 001; Bo-Wei Zhao; Zhuhong You (Briefings Bioinform., 2022)

iGRLCDA: identifying circRNA-disease association based on graph representation learning. - Han-Yuan Zhang; Lei Wang 121; Zhu-Hong You; Lun Hu; Bo-Wei Zhao; Zheng-Wei Li 001; Yang-Ming Li (Briefings Bioinform., 2022)

Predicting miRNA-disease associations based on graph random propagation network and attention network. - Tangbo Zhong; Zhengwei Li 001; Zhu-Hong You; Ru Nie; Huan Zhao (Briefings Bioinform., 2022)

GCMCDTI: Graph convolutional autoencoder framework for predicting drug-target interactions based on matrix completion. - Jing Li; Chen Zhang; Zheng-Wei Li 001; Ru Nie; Pengyong Han; Wenjia Yang; Hongmei Liao (J. Bioinform. Comput. Biol., 2022)

A Graph Neural Network with Multiple Auxiliary Tasks for Accurate Single Cell Classification. - Shu-An Liu; Pengyong Han; Hua Hu 003; Bin Yang 017; Meng-Lin Liu; Zheng-Wei Li 001 (SPML, 2023)

ADARES: A Single-cell Classification Model Based on Adversarial Data Augmentation and Residual Networks. - Zhi-Peng Zhu; Pengyong Han; Lei Wang 121; Xishang Dong; San-Rong Liu; Zheng-Wei Li 001 (SPML, 2023)

Predicting MiRNA-Disease Associations by Graph Representation Learning Based on Jumping Knowledge Networks. - Zheng-Wei Li 001; Qiankun Wang; Chang-An Yuan 001; Pengyong Han; Zhu-Hong You; Lei Wang 121 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Predicting Mirna-Disease Associations Based on Neighbor Selection Graph Attention Networks. - Huan Zhao; Zhengwei Li 001; Zhu-Hong You; Ru Nie; Tangbo Zhong (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

SPRDA: a link prediction approach based on the structural perturbation to infer disease-associated Piwi-interacting RNAs. - Kai Zheng 020; Xin-Lu Zhang; Lei Wang 121; Zhu-Hong You; Bo-Ya Ji; Xiao Liang; Zheng-Wei Li 001 (Briefings Bioinform., 2023)

Adversarial dense graph convolutional networks for single-cell classification. - Kangwei Wang; Zhengwei Li 001; Zhu-Hong You; Pengyong Han; Ru Nie (Bioinform., 2023)

An efficient circRNA-miRNA interaction prediction model by combining biological text mining and wavelet diffusion-based sparse network structure embedding. - Xin-Fei Wang; Chang-Qing Yu; Zhu-Hong You; Yan Qiao; Zheng-Wei Li 001; Wenzhun Huang (Comput. Biol. Medicine, 2023)

Predicting CircRNA-Disease Associations Through Non-negative Matrix Factorization and Adversarially Regularized Variational Graph Autoencoder. - Mianshuo Lu; Lei Wang 121; Jinzhu Sun; Yang Li 111; Mengmeng Wei; Yu Wei; Changchun Liu; Zhengwei Li 001 (BIBM, 2024)

Lightweight Coal Flow Foreign Object Detection Algorithm. - Ru Nie; Xiaobing Shen; Zhengwei Li 001; Yanxia Jiang; Hongmei Liao; Zhuhong You (ICIC (3), 2024)

A PiRNA-disease association model incorporating sequence multi-source information with graph convolutional networks. - Lei Wang 121; Zheng-Wei Li 001; Jing Hu; Leon Wong; Bo-Wei Zhao; Zhu-Hong You (Appl. Soft Comput., 2024)

HHOMR: a hybrid high-order moment residual model for miRNA-disease association prediction. - Zhengwei Li 001; Lipeng Wan; Lei Wang 121; Wenjing Wang; Ru Nie (Briefings Bioinform., 2024)

LMGATCDA: Graph Neural Network With Labeling Trick for Predicting circRNA-Disease Associations. - Wenjing Wang; Pengyong Han; Zhengwei Li 001; Ru Nie; Kangwei Wang; Lei Wang 121; Hongmei Liao (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

SiSGC: A Drug Repositioning Prediction Model Based on Heterogeneous Simplifying Graph Convolution. - Zhong-Hao Ren; Chang-Qing Yu; Li-Ping Li 003; Zhu-Hong You; Zheng-Wei Li 001; Shanwen Zhang; Xiangxiang Zeng; Yi-Fan Shang (J. Chem. Inf. Model., 2024)

GSLCDA: An Unsupervised Deep Graph Structure Learning Method for Predicting CircRNA-Disease Association. - Lei Wang 121; Zheng-Wei Li 001; Zhu-Hong You; De-Shuang Huang; Leon Wong (IEEE J. Biomed. Health Informatics, 2024)

MAGCDA: A Multi-Hop Attention Graph Neural Networks Method for CircRNA-Disease Association Prediction. - Lei Wang 121; Zheng-Wei Li 001; Zhu-Hong You; De-Shuang Huang; Leon Wong (IEEE J. Biomed. Health Informatics, 2024)

BEROLECMI: a novel prediction method to infer circRNA-miRNA interaction from the role definition of molecular attributes and biological networks. - Xin-Fei Wang; Chang-Qing Yu; Zhu-Hong You; Yan Wang 028; Lan Huang 002; Yan Qiao; Lei Wang 121; Zheng-Wei Li 001 (BMC Bioinform., 2024)

Predicting miRNA-Disease Associations Based on Spectral Graph Transformer With Dynamic Attention and Regularization. - Zhengwei Li 001; Xu Bai; Ru Nie; Yanyan Liu; Lei Zhang 029; Zhuhong You (IEEE J. Biomed. Health Informatics, 2024)