Fuzzy-based deep attributed graph clustering Y Yang, X Su, B Zhao, GD Li, P Hu, J Zhang, L Hu IEEE Transactions on Fuzzy Systems, 2023 | 49 | 2023 |
Discovering consensus regions for interpretable identification of rna n6-methyladenosine modification sites via graph contrastive clustering G Li, B Zhao, X Su, Y Yang, P Hu, X Zhou, L Hu IEEE Journal of Biomedical and Health Informatics, 2024 | 27 | 2024 |
Motif-Aware miRNA-Disease Association Prediction Via Hierarchical Attention Network BW Zhao, YZ He, XR Su, Y Yang, GD Li, YA Huang, PW Hu, ZH You, L Hu IEEE Journal of Biomedical and Health Informatics, 2024 | 20 | 2024 |
Bridging-BPs: a novel approach to predict potential drug–target interactions based on a bridging heterogeneous graph and BPs2vec G Li, P Zhang, W Sun, C Ren, L Wang Briefings in Bioinformatics 23 (2), bbab557, 2022 | 9 | 2022 |
A heterogeneous information network learning model with neighborhood-level structural representation for predicting lncRNA-miRNA interactions BW Zhao, XR Su, Y Yang, DX Li, GD Li, PW Hu, X Luo, L Hu Computational and Structural Biotechnology Journal 23, 2924-2933, 2024 | 7 | 2024 |
GA-ENs: A novel drug–target interactions prediction method by incorporating prior Knowledge Graph into dual Wasserstein Generative Adversarial Network with gradient penalty G Li, W Sun, J Xu, L Hu, W Zhang, P Zhang Applied Soft Computing 139, 110151, 2023 | 7 | 2023 |
Regulation-aware graph learning for drug repositioning over heterogeneous biological network BW Zhao, XR Su, Y Yang, DX Li, GD Li, PW Hu, ZH You, X Luo, L Hu Information Sciences 686, 121360, 2025 | 6 | 2025 |
Correcting the Bias: Mitigating Multimodal Inconsistency Contrastive Learning for Multimodal Fake News Detection Z Zeng, M Wu, G Li, X Li, Z Huang, Y Sha 2023 IEEE International Conference on Multimedia and Expo (ICME), 2861-2866, 2023 | 6 | 2023 |
PDA-PRGCN: identification of Piwi-interacting RNA-disease associations through subgraph projection and residual scaling-based feature augmentation P Zhang, W Sun, D Wei, G Li, J Xu, Z You, B Zhao, L Li BMC bioinformatics 24 (1), 18, 2023 | 6 | 2023 |
Knowledge graph neural network with spatial-aware capsule for drug-drug interaction prediction X Su, B Zhao, G Li, J Zhang, P Hu, Z You, L Hu IEEE journal of biomedical and health informatics, 2024 | 4 | 2024 |
An Explainable Multi-view Semantic Fusion Model for Multimodal Fake News Detection Z Zeng, M Wu, G Li, X Li, Z Huang, Y Sha 2023 IEEE International Conference on Multimedia and Expo (ICME), 1235-1240, 2023 | 2 | 2023 |
Drug-disease association prediction using semantic graph and function similarity representation learning over heterogeneous information networks BW Zhao, XR Su, Y Yang, DX Li, GD Li, PW Hu, YG Zhao, L Hu Methods 220, 106-114, 2023 | 1 | 2023 |
Biocaiv: an integrative webserver for motif-based clustering analysis and interactive visualization of biological networks DX Li, P Zhou, BW Zhao, XR Su, GD Li, J Zhang, PW Hu, L Hu BMC bioinformatics 24 (1), 451, 2023 | 1 | 2023 |
Mixed expert model for drug-target interaction prediction H Lian, Z Zeng, X Li, G Li, W Zhang, H Wang Easy Chair, 2022 | 1 | 2022 |
Capturing short-range and long-range dependencies of nucleotides for identifying RNA N6-methyladenosine modification sites G Li, B Zhao, X Su, Y Yang, Z Zeng, P Hu, L Hu Computers in Biology and Medicine 186, 109625, 2025 | | 2025 |
Integrating Fuzzy Clustering and Graph Convolution Network to Accurately Identify Clusters From Attributed Graph Y Yang, G Li, D Li, J Zhang, P Hu, L Hu IEEE Transactions on Network Science and Engineering, 2024 | | 2024 |
A Multi-view Nested Contrastive Learning Framework for Predicting Drug-Drug Interaction Events D Li, Y Yang, G Li, P Hu, L Hu 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2024 | | 2024 |
Knowledge-guided Protein Complex Identification with Fuzzy-based Graph Representation Learning Y Yang, G Li, D Li, P Hu, L Hu 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2024 | | 2024 |
Learning Sequential and Structural Dependencies Between Nucleotides for RNA N6-Methyladenosine Site Identification G Li, B Zhao, X Su, D Li, Y Yang, Z Zeng, L Hu IEEE/CAA Journal of Automatica Sinica 11 (10), 2123-2134, 2024 | | 2024 |
Learning RNA sequence patterns to interpretably identify m6A modification sites G Li, B Zhao, X Su, Y Yang, P Hu, L Hu 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |