Zhengwei Li

28 papers Misc 1Journal 12Unranked 15
YearRankTypeTitle / Venue / Authors
2025 — conf
A Novel Sparse-Aware Topology Reconstruction and Global Dependency Enhanced Method for Predicting Human Microbe-Disease Associations.
BIBM
Yuehu Wu, Lei Wang, Zhengwei Li, Mengmeng Wei, Changchun Liu, Yi Wang
2025 — conf
HGTMCDA: Predicting CircRNA-Disease Associations Using Heterogeneous Graph Transformation Based on Multi-Source Information Fusion.
BIBM
Xing-Yu Tan, Mengmeng Wei, Zhengwei Li, Cheng-Wei Ruan, Shengli Li, Ruo-Ran Li, Lei Wang
2024 J jnl
HHOMR: a hybrid high-order moment residual model for miRNA-disease association prediction.
Briefings Bioinform.
Zhengwei Li, Lipeng Wan, Lei Wang, Wenjing Wang, Ru Nie
2024 J jnl
LMGATCDA: Graph Neural Network With Labeling Trick for Predicting circRNA-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform.
Wenjing Wang, Pengyong Han, Zhengwei Li, Ru Nie, Kangwei Wang, Lei Wang, Hongmei Liao
2024 — conf
Lightweight Coal Flow Foreign Object Detection Algorithm.
ICIC (3)
Ru Nie, Xiaobing Shen, Zhengwei Li, Yanxia Jiang, Hongmei Liao, Zhuhong You
2024 — conf
Predicting CircRNA-Disease Associations Through Non-negative Matrix Factorization and Adversarially Regularized Variational Graph Autoencoder.
BIBM
Mianshuo Lu, Lei Wang, Jinzhu Sun, Yang Li, Mengmeng Wei, Yu Wei, Changchun Liu, Zhengwei Li
2024 J jnl
Predicting miRNA-Disease Associations Based on Spectral Graph Transformer With Dynamic Attention and Regularization.
IEEE J. Biomed. Health Informatics
Zhengwei Li, Xu Bai, Ru Nie, Yanyan Liu, Lei Zhang, Zhuhong You
2023 J jnl
Adversarial dense graph convolutional networks for single-cell classification.
Bioinform.
Kangwei Wang, Zhengwei Li, Zhu-Hong You, Pengyong Han, Ru Nie
2023 J jnl
Predicting Mirna-Disease Associations Based on Neighbor Selection Graph Attention Networks.
IEEE ACM Trans. Comput. Biol. Bioinform.
Huan Zhao, Zhengwei Li, Zhu-Hong You, Ru Nie, Tangbo Zhong
2022 — conf
Elucidating Quantum Semi-empirical Based QSAR, for Predicting Tannins' Anti-oxidant Activity with the Help of Artificial Neural Network.
ICIC (2)
Chandrasekhar Gopalakrishnan, Caixia Xu, Yanran Li, Vinutha Anandhan, Sanjay Gangadharan, Meshach Paul, Chandra Sekar Ponnusamy, Rajasekaran Ramalingam, Pengyong Han, Zhengwei Li
2022 J jnl
Predicting miRNA-disease associations based on graph random propagation network and attention network.
Briefings Bioinform.
Tangbo Zhong, Zhengwei Li, Zhu-Hong You, Ru Nie, Huan Zhao
2022 — conf
Prediction of MiRNA-Disease Association Based on Higher-Order Graph Convolutional Networks.
ICIC (2)
Zhengtao Zhang, Pengyong Han, Zhengwei Li, Ru Nie, Qiankun Wang
2022 — conf
Research on the Potential Mechanism of Rhizoma Drynariae in the Treatment of Periodontitis Based on Network Pharmacology.
ICIC (2)
Caixia Xu, Xiaokun Yang, Zhipeng Wang, Pengyong Han, Xiaoguang Li, Zhengwei Li
2022 — conf
The CNV Predict Model in Esophagus Cancer.
ICIC (2)
Yun Tian, Caixia Xu, Lin Li, Pengyong Han, Zhengwei Li
2022 — conf
The Prognosis Model of Clear Cell Renal Cell Carcinoma Based on Allograft Rejection Markers.
ICIC (2)
Hailei Liu, Zhenqiong Chen, Chandrasekhar Gopalakrishnan, Rajasekaran Ramalingam, Pengyong Han, Zhengwei Li
2021 J jnl
A graph auto-encoder model for miRNA-disease associations prediction.
Briefings Bioinform.
Zhengwei Li, Jiashu Li, Ru Nie, Zhu-Hong You, Wenzheng Bao
2021 J jnl
Combined embedding model for MiRNA-disease association prediction.
BMC Bioinform.
Bailong Liu, Xiaoyan Zhu, Lei Zhang, Zhizheng Liang, Zhengwei Li
2021 — conf
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.
ICIC (3)
Chandrasekhar Gopalakrishnan, Caixia Xu, Pengyong Han, Rajasekaran Ramalingam, Zhengwei Li
2021 J jnl
Efficient framework for predicting MiRNA-disease associations based on improved hybrid collaborative filtering.
BMC Medical Informatics Decis. Mak.
Ru Nie, Zhengwei Li, Zhu-Hong You, Wenzheng Bao, Jiashu Li
2021 — conf
Study on the Mechanism of Cistanche in the Treatment of Colorectal Cancer Based on Network Pharmacology.
ICIC (3)
Yuan Dong, Caixia Xu, Chenxia Ren, Pengyong Han, Fei Ren, Zhengwei Li, Zibai Wei
2020 — conf
Expression and Gene Regulation Network of ELF3 in Breast Invasive Carcinoma Based on Data Mining.
ICIC (2)
Chenxia Ren, Pengyong Han, Chandrasekhar Gopalakrishnan, Caixia Xu, Rajasekaran Ramalingam, Zhengwei Li
2020 — conf
Image Classification Based on Deep Belief Network and YELM.
ICIC (1)
Chengyong Zhang, Zhengwei Li, Ru Nie, Lei Wang, Huan Zhao
2020 J jnl
Predicting MiRNA-disease associations by multiple meta-paths fusion graph embedding model.
BMC Bioinform.
Lei Zhang, Bailong Liu, Zhengwei Li, Xiaoyan Zhu, Zhizhen Liang, Ji-Yong An
2019 — conf
LRMDA: Using Logistic Regression and Random Walk with Restart for MiRNA-Disease Association Prediction.
ICIC (2)
Zhengwei Li, Ru Nie, Zhuhong You, Yan Zhao, Xin Ge, Yang Wang
2019 J jnl
Using discriminative vector machine model with 2DPCA to predict interactions among proteins.
BMC Bioinform.
Zhengwei Li, Ru Nie, Zhuhong You, Chen Cao, Jiashu Li
2012 J jnl
Fault Diagnosis Based on Improved Kernel Fisher Discriminant Analysis.
J. Softw.
Zhengwei Li, Guojun Tan, Yuan Li
2010 Misc conf
Hybrid particle swarm optimization algorithm and its application.
ICNC
Zhengwei Li, Guojun Tan, Hao Li
2008 — conf
A Self-Adaptive Mutation-Particle Swarm Optimization Algorithm.
ICNC (1)
Zhengwei Li, Guojun Tan