Predicting circRNA-disease associations using deep generative adversarial network based on multi-source fusion information. - Lei Wang 121; Zhu-Hong You; Li-Ping Li 003; Kai Zheng 020; Yan-Bin Wang (BIBM, 2019)

Predicting of Drug-Disease Associations via Sparse Auto-Encoder-Based Rotation Forest. - Han-Jing Jiang; Zhu-Hong You; Kai Zheng 020; Zhan-Heng Chen (ICIC (3), 2019)

Combining Evolutionary Information and Sparse Bayesian Probability Model to Accurately Predict Self-interacting Proteins. - Yan-Bin Wang; Zhu-Hong You; Hai-Cheng Yi; Zhan-Heng Chen; Zhen-Hao Guo; Kai Zheng 020 (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)

MISSIM: Improved miRNA-Disease Association Prediction Model Based on Chaos Game Representation and Broad Learning System. - Kai Zheng 020; Zhu-Hong You; Lei Wang 121; Yi-Ran Li; Yan-Bin Wang; Han-Jing Jiang (ICIC (3), 2019)

CGMDA: An Approach to Predict and Validate MicroRNA-Disease Associations by Utilizing Chaos Game Representation and LightGBM. - Kai Zheng 020; Lei Wang 121; Zhu-Hong You (IEEE Access, 2019)

LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities. - Lei Wang 121; Zhu-Hong You; Xing Chen 001; Yang-Ming Li; Ya-Nan Dong; Li-Ping Li 003; Kai Zheng 020 (PLoS Comput. Biol., 2019)

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)

DTIFS: A Novel Computational Approach for Predicting Drug-Target Interactions from Drug Structure and Protein Sequence. - Xin Yan; Zhu-Hong You; Lei Wang 121; Li-Ping Li 003; Kai Zheng 020; Mei-Neng Wang (ICIC (2), 2020)

Predicting Human Disease-Associated piRNAs Based on Multi-source Information and Random Forest. - Kai Zheng 020; Zhu-Hong You; Lei Wang 121; Hao-Yuan Li; Bo-Ya Ji (ICIC (2), 2020)

Inferring Disease-Associated Piwi-Interacting RNAs via Graph Attention Networks. - Kai Zheng 020; Zhu-Hong You; Lei Wang 121; Leon Wong; Zhan-Heng Chen (ICIC (2), 2020)

GANCDA: a novel method for predicting circRNA-disease associations based on deep generative adversarial network. - Xin Yan; Lei Wang 121; Zhu-Hong You; Li-Ping Li 003; Kai Zheng 020 (Int. J. Data Min. Bioinform., 2020)

GCNCDA: A new method for predicting circRNA-disease associations based on Graph Convolutional Network Algorithm. - Lei Wang 121; Zhu-Hong You; Yang-Ming Li; Kai Zheng 020; Yu-An Huang (PLoS Comput. Biol., 2020)

iCDA-CGR: Identification of circRNA-disease associations based on Chaos Game Representation. - Kai Zheng 020; Zhu-Hong You; Jian-Qiang Li 001; Lei Wang 121; Zhen-Hao Guo; Yu-An Huang (PLoS Comput. Biol., 2020)

A deep learning-based method for drug-target interaction prediction based on long short-term memory neural network. - Yan-Bin Wang; Zhu-Hong You; Shan Yang; Hai-Cheng Yi; Zhan-Heng Chen; Kai Zheng 020 (BMC Medical Informatics Decis. Mak., 2020)

MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm. - Zhen-Hao Guo; Zhu-Hong You; De-Shuang Huang; Hai-Cheng Yi; Kai Zheng 020; Zhan-Heng Chen; Yan-Bin Wang (Briefings Bioinform., 2021)

A novel graph attention model for predicting frequencies of drug-side effects from multi-view data. - Haochen Zhao; Kai Zheng 020; Yaohang Li; Jianxin Wang 001 (Briefings Bioinform., 2021)

LDGRNMF: LncRNA-disease associations prediction based on graph regularized non-negative matrix factorization. - Mei-Neng Wang; Zhu-Hong You; Lei Wang 121; Li-Ping Li 003; Kai Zheng 020 (Neurocomputing, 2021)

MISSIM: An Incremental Learning-Based Model With Applications to the Prediction of miRNA-Disease Association. - Kai Zheng 020; Zhu-Hong You; Lei Wang 121; Yi-Ran Li; Ji-Ren Zhou; Haitao Zeng (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Prediction of virus-receptor interactions based on multi-view learning and link prediction. - Lingzhi Zhu; Kai Zheng 020; Guihua Duan; Jianxin Wang 001 (BIBM, 2022)

A similarity-based deep learning approach for determining the frequencies of drug side effects. - Haochen Zhao; Shaokai Wang; Kai Zheng 020; Qichang Zhao; Feng Zhu 004; Jianxin Wang 001 (Briefings Bioinform., 2022)

Line graph attention networks for predicting disease-associated Piwi-interacting RNAs. - Kai Zheng 020; Xin-Lu Zhang; Lei Wang 121; Zhu-Hong You; Zhaohui Zhan; Hao-Yuan Li (Briefings Bioinform., 2022)

NASMDR: a framework for miRNA-drug resistance prediction using efficient neural architecture search and graph isomorphism networks. - Kai Zheng 020; Haochen Zhao; Qichang Zhao; Bin Wang; Xin Gao 001; Jianxin Wang 001 (Briefings Bioinform., 2022)

HyperAttentionDTI: improving drug-protein interaction prediction by sequence-based deep learning with attention mechanism. - Qichang Zhao; Haochen Zhao; Kai Zheng 020; Jianxin Wang 001 (Bioinform., 2022)

GIFDTI: Prediction of Drug-Target Interactions Based on Global Molecular and Intermolecular Interaction Representation Learning. - Qichang Zhao; Guihua Duan; Haochen Zhao; Kai Zheng 020; Yaohang Li; Jianxin Wang 001 (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)

TopoLa: a novel embedding framework for understanding complex networks. - Kai Zheng 020; Qilong Feng; Yaohang Li; Qichang Zhao; Jinhui Xu 001; Jianxin Wang 001 (CoRR, 2024)

LKLPDA: A Low-Rank Fast Kernel Learning Approach for Predicting piRNA-Disease Associations. - Qingzhou Shi; Kai Zheng 020; Haoyuan Li; Bo Wang; Xiao Liang; Xinyu Li; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

SGMDTI: A Unified Framework for Drug-Target Interaction Prediction by Semantic-Guided Meta-path Method. - Haoyuan Li; Haochen Zhao; Kai Zheng 020; Qichang Zhao; Guihua Duan; Jianxin Wang (ISBRA (1), 2025)