Predicting MicroRNA-Disease Associations Using Network Topological Similarity Based on DeepWalk. - Guanghui Li 003; Jiawei Luo 001; Qiu Xiao; Cheng Liang 001; Pingjian Ding; Buwen Cao (IEEE Access, 2017)

Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data. - Jiawei Luo 001; Qiu Xiao; Cheng Liang 001; Pingjian Ding (IEEE Access, 2017)

A novel approach for predicting microRNA-disease associations by unbalanced bi-random walk on heterogeneous network. - Jiawei Luo 001; Qiu Xiao (J. Biomed. Informatics, 2017)

GRTR: Drug-Disease Association Prediction Based on Graph Regularized Transductive Regression on Heterogeneous Network. - Qiao Zhu; Jiawei Luo 001; Pingjian Ding; Qiu Xiao (ISBRA, 2018)

A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations. - Qiu Xiao; Jiawei Luo 001; Cheng Liang 001; Jie Cai; Pingjian Ding (Bioinform., 2018)

Human disease MiRNA inference by combining target information based on heterogeneous manifolds. - Pingjian Ding; Jiawei Luo 001; Cheng Liang 001; Qiu Xiao; Buwen Cao (J. Biomed. Informatics, 2018)

Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity. - Guanghui Li 003; Jiawei Luo 001; Qiu Xiao; Cheng Liang 001; Pingjian Ding (J. Biomed. Informatics, 2018)

Prediction of LncRNA-Disease Associations Based on Network Consistency Projection. - Guanghui Li 003; Jiawei Luo 001; Cheng Liang 001; Qiu Xiao; Pingjian Ding; Yuejin Zhang (IEEE Access, 2019)

CeModule: an integrative framework for discovering regulatory patterns from genomic data in cancer. - Qiu Xiao; Jiawei Luo 001; Cheng Liang 001; Jie Cai; Guanghui Li 003; Buwen Cao (BMC Bioinform., 2019)

Multi-view manifold regularized learning-based method for prioritizing candidate disease miRNAs. - Qiu Xiao; Jianhua Dai; Jiawei Luo 001; Hamido Fujita (Knowl. Based Syst., 2019)

Computational Prediction of Human Disease- Associated circRNAs Based on Manifold Regularization Learning Framework. - Qiu Xiao; Jiawei Luo 001; Jianhua Dai (IEEE J. Biomed. Health Informatics, 2019)

Potential circRNA-disease association prediction using DeepWalk and network consistency projection. - Guanghui Li 003; Jiawei Luo 001; Diancheng Wang; Cheng Liang 001; Qiu Xiao; Pingjian Ding; Hailin Chen (J. Biomed. Informatics, 2020)

Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer. - Qiu Xiao; Jiawei Luo 001; Cheng Liang 001; Guanghui Li 003; Jie Cai; Pingjian Ding; Ying Liu 027 (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

NSL2CD: identifying potential circRNA-disease associations based on network embedding and subspace learning. - Qiu Xiao; Yu Fu; Yide Yang; Jianhua Dai; Jiawei Luo 001 (Briefings Bioinform., 2021)

Adaptive multi-source multi-view latent feature learning for inferring potential disease-associated miRNAs. - Qiu Xiao; Ning Zhang; Jiawei Luo 001; Jianhua Dai; Xiwei Tang (Briefings Bioinform., 2021)

A novel essential protein identification method based on PPI networks and gene expression data. - Jiancheng Zhong; Chao Tang; Wei Peng 004; Minzhu Xie; Yusui Sun; Qiang Tang; Qiu Xiao; Jiahong Yang (BMC Bioinform., 2021)

Inferring Synergistic Drug Combinations Based on Symmetric Meta-Path in a Novel Heterogeneous Network. - Pingjian Ding; Cheng Liang 001; Wenjue Ouyang; Guanghui Li 003; Qiu Xiao; Jiawei Luo 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Predicting miRNA-disease associations via multi-channel graph convolutional networks. - HaoRan Zheng; Qiu Xiao; Jiancheng Zhong (BIBM, 2022)

Prediction of miRNA and Disease Association based on Graph Convolution Network using Latent Feature Vector by Positive Samples. - Jiancheng Zhong; Jiedong Kang; Xingran Song; Qiu Xiao; Yi Pan 001 (BIBM, 2022)

Prediction of Drug-Disease Relationship on Heterogeneous Networks Based on Graph Convolution. - Jiancheng Zhong; Pan Cui; Zuohang Qu; Liuping Wang; Qiu Xiao; Yihong Zhu (ISBRA, 2022)

A survey of circular RNAs in complex diseases: databases, tools and computational methods. - Qiu Xiao; Jianhua Dai; Jiawei Luo 001 (Briefings Bioinform., 2022)

Predicting miRNA-disease associations based on graph attention network with multi-source information. - Guanghui Li 003; Tao Fang; Yuejin Zhang; Cheng Liang 001; Qiu Xiao; Jiawei Luo 001 (BMC Bioinform., 2022)

GGAECDA: Predicting circRNA-disease associations using graph autoencoder based on graph representation learning. - Guanghui Li 003; Yawei Lin; Jiawei Luo 001; Qiu Xiao; Cheng Liang 001 (Comput. Biol. Chem., 2022)

DAHNGC: A Graph Convolution Model for Drug-Disease Association Prediction by Using Heterogeneous Network. - Jiancheng Zhong; Pan Cui; Yihong Zhu; Qiu Xiao; Zuohang Qu (J. Comput. Biol., 2023)

MNCLCDA: predicting circRNA-drug sensitivity associations by using mixed neighbourhood information and contrastive learning. - Guanghui Li 003; Feifan Zeng; Jiawei Luo 001; Cheng Liang 001; Qiu Xiao (BMC Medical Informatics Decis. Mak., 2023)

Multi-source Data-driven Drug Repositioning based on Deep Self-attention Network. - Bin Chen; Qiu Xiao; Zhuo Huang; Tuo Xiong; Yide Yang; Jiancheng Zhong (BIBM, 2024)

Predicting Drug-Protein Interactions through Branch-Chain Mining and multi-dimensional attention network. - Zhuo Huang; Qiu Xiao; Tuo Xiong; Wanwan Shi; Yide Yang; Guanghui Li 003 (Comput. Biol. Medicine, 2024)

Drug repositioning based on residual attention network and free multiscale adversarial training. - Guanghui Li 003; Shuwen Li; Cheng Liang 001; Qiu Xiao; Jiawei Luo 001 (BMC Bioinform., 2024)

Identifying Spatial Domains by Fusing Spatial Transcriptomics and Histological Images Through Contrastive Learning. - Li Xue; Xiao Liang; Bo Wang; Wei Liu; Zhiyi Zou; Qiu Xiao; Nguyen Hoang Tu; Jiawei Luo 001 (ICIC (28), 2025)