| Non-negativity constrained missing data estimation for high-dimensional and sparse matrices from industrial applications X Luo, MC Zhou, S Li, L Hu, M Shang IEEE transactions on cybernetics 50 (5), 1844-1855, 2019 | 116 | 2019 |
| A survey on computational models for predicting protein–protein interactions L Hu, X Wang, YA Huang, P Hu, ZH You Briefings in bioinformatics 22 (5), bbab036, 2021 | 114 | 2021 |
| HiSCF: leveraging higher-order structures for clustering analysis in biological networks L Hu, J Zhang, X Pan, H Yan, ZH You Bioinformatics 37 (4), 542-550, 2021 | 91 | 2021 |
| Efficiently detecting protein complexes from protein interaction networks via alternating direction method of multipliers L Hu, X Yuan, X Liu, S Xiong, X Luo IEEE/ACM transactions on computational biology and bioinformatics 16 (6 …, 2018 | 88 | 2018 |
| Fuzzy clustering in a complex network based on content relevance and link structures L Hu, KCC Chan IEEE Transactions on Fuzzy Systems 24 (2), 456-470, 2015 | 86 | 2015 |
| HINGRL: predicting drug–disease associations with graph representation learning on heterogeneous information networks BW Zhao, L Hu, ZH You, L Wang, XR Su Briefings in bioinformatics 23 (1), bbab515, 2022 | 82 | 2022 |
| Generalized nesterov's acceleration-incorporated, non-negative and adaptive latent factor analysis X Luo, Y Zhou, Z Liu, L Hu, MC Zhou IEEE Transactions on Services Computing 15 (5), 2809-2823, 2021 | 74 | 2021 |
| A fast fuzzy clustering algorithm for complex networks via a generalized momentum method L Hu, X Pan, Z Tang, X Luo IEEE Transactions on Fuzzy Systems 30 (9), 3473-3485, 2021 | 72 | 2021 |
| A distributed framework for large-scale protein-protein interaction data analysis and prediction using mapreduce L Hu, S Yang, X Luo, H Yuan, K Sedraoui, MC Zhou IEEE/CAA Journal of Automatica Sinica 9 (1), 160-172, 2021 | 69 | 2021 |
| A variational Bayesian framework for cluster analysis in a complex network L Hu, KCC Chan, X Yuan, S Xiong IEEE Transactions on Knowledge and Data Engineering 32 (11), 2115-2128, 2019 | 63 | 2019 |
| A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2 X Su, L Hu, Z You, P Hu, L Wang, B Zhao Briefings in bioinformatics 23 (1), bbab526, 2022 | 61 | 2022 |
| Attention-based knowledge graph representation learning for predicting drug-drug interactions X Su, L Hu, Z You, P Hu, B Zhao Briefings in bioinformatics 23 (3), bbac140, 2022 | 58 | 2022 |
| An algorithm of inductively identifying clusters from attributed graphs L Hu, S Yang, X Luo, MC Zhou IEEE Transactions on Big Data 8 (2), 523-534, 2020 | 57 | 2020 |
| Utilizing Both Topological and Attribute Information for Protein Complex Identification in PPI Networks AL Hu, KCC Chan IEEE/ACM Transactions on Computational Biology and Bioinformatics 10 (3 …, 2013 | 56 | 2013 |
| Fusing higher and lower-order biological information for drug repositioning via graph representation learning BW Zhao, L Wang, PW Hu, L Wong, XR Su, BQ Wang, ZH You, L Hu IEEE Transactions on Emerging Topics in Computing, 2023 | 44 | 2023 |
| Extracting coevolutionary features from protein sequences for predicting protein-protein interactions L Hu, KCC Chan IEEE/ACM transactions on computational biology and bioinformatics 14 (1 …, 2016 | 44 | 2016 |
| An effective link-based clustering algorithm for detecting overlapping protein complexes in protein-protein interaction networks L Hu, J Zhang, X Pan, X Luo, H Yuan IEEE Transactions on Network Science and Engineering 8 (4), 3275-3289, 2021 | 41 | 2021 |
| Incorporating the coevolving information of substrates in predicting HIV-1 protease cleavage sites L Hu, P Hu, X Luo, X Yuan, ZH You IEEE/ACM transactions on computational biology and bioinformatics 17 (6 …, 2019 | 41 | 2019 |
| A gene–phenotype relationship extraction pipeline from the biomedical literature using a representation learning approach W Xing, J Qi, X Yuan, L Li, X Zhang, Y Fu, S Xiong, L Hu, J Peng Bioinformatics 34 (13), i386-i394, 2018 | 38 | 2018 |
| FCAN-MOPSO: an improved fuzzy-based graph clustering algorithm for complex networks with multi-objective particle swarm optimization L Hu, Y Yang, Z Tang, Y He, X Luo IEEE Transactions on Fuzzy Systems, 2023 | 36 | 2023 |
Keith C.C. ChanFormer Professor of Computing, The Hong Kong Polytechnic UniversityDirección de correo verificada de connect.polyu.hk
