Lun Hu
Orcid: 0000-0002-1591-8549
According to our database1,
Lun Hu
authored at least 80 papers
between 2015 and 2024.
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Bibliography
2024
Discovering Consensus Regions for Interpretable Identification of RNA N6-Methyladenosine Modification Sites via Graph Contrastive Clustering.
IEEE J. Biomed. Health Informatics, April, 2024
Fusing Higher and Lower-Order Biological Information for Drug Repositioning via Graph Representation Learning.
IEEE Trans. Emerg. Top. Comput., 2024
Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Biocaiv: an integrative webserver for motif-based clustering analysis and interactive visualization of biological networks.
BMC Bioinform., December, 2023
Neurocomputing, November, 2023
FCAN-MOPSO: An Improved Fuzzy-Based Graph Clustering Algorithm for Complex Networks With Multiobjective Particle Swarm Optimization.
IEEE Trans. Fuzzy Syst., October, 2023
iGRLDTI: an improved graph representation learning method for predicting drug-target interactions over heterogeneous biological information network.
Bioinform., August, 2023
GA-ENs: A novel drug-target interactions prediction method by incorporating prior Knowledge Graph into dual Wasserstein Generative Adversarial Network with gradient penalty.
Appl. Soft Comput., May, 2023
Incorporating higher order network structures to improve miRNA-disease association prediction based on functional modularity.
Briefings Bioinform., January, 2023
IEEE J. Biomed. Health Informatics, 2023
PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions.
IEEE J. Biomed. Health Informatics, 2023
PPISB: A Novel Network-Based Algorithm of Predicting Protein-Protein Interactions With Mixed Membership Stochastic Blockmodel.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Predicting Protein-Protein Interactions Using Sequence and Network Information via Variational Graph Autoencoder.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Knowledge graph embedding for profiling the interaction between transcription factors and their target genes.
PLoS Comput. Biol., 2023
Multi-level Subgraph Representation Learning for Drug-Disease Association Prediction Over Heterogeneous Biological Information Network.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
A Deep Learning Approach Incorporating Data Missing Mechanism in Predicting Acute Kidney Injury in ICU.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
A Novel Graph Representation Learning Model for Drug Repositioning Using Graph Transition Probability Matrix Over Heterogenous Information Networks.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Drug Repositioning Method Based on Pre-trained Large Model and Network Embedding Representation.
Proceedings of the IEEE International Conference on Data Mining, 2023
A contactless automated dynamic monitoring method for organoid morphology on the time axis.
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Making the Implicit Explicit: Depression Detection in Web across Posted Texts and Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
CAMPEOD: A Cross Attention-Based Multi-Scale Patch Embedding Organoid Detection Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Generalized Nesterov's Acceleration-Incorporated, Non-Negative and Adaptive Latent Factor Analysis.
IEEE Trans. Serv. Comput., 2022
A Fast Fuzzy Clustering Algorithm for Complex Networks via a Generalized Momentum Method.
IEEE Trans. Fuzzy Syst., 2022
Identifying Protein Complexes From Protein-Protein Interaction Networks Based on Fuzzy Clustering and GO Semantic Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
IEEE Trans. Big Data, 2022
A Distributed Framework for Large-scale Protein-protein Interaction Data Analysis and Prediction Using MapReduce.
IEEE CAA J. Autom. Sinica, 2022
Automatic Detection of Melanins and Sebums from Skin Images Using a Generative Adversarial Network.
Cogn. Comput., 2022
RLFDDA: a meta-path based graph representation learning model for drug-disease association prediction.
BMC Bioinform., 2022
Multi-view heterogeneous molecular network representation learning for protein-protein interaction prediction.
BMC Bioinform., 2022
Effectively predicting HIV-1 protease cleavage sites by using an ensemble learning approach.
BMC Bioinform., 2022
A geometric deep learning framework for drug repositioning over heterogeneous information networks.
Briefings Bioinform., 2022
HINGRL: predicting drug-disease associations with graph representation learning on heterogeneous information networks.
Briefings Bioinform., 2022
iGRLCDA: identifying circRNA-disease association based on graph representation learning.
Briefings Bioinform., 2022
Attention-based Knowledge Graph Representation Learning for Predicting Drug-drug Interactions.
Briefings Bioinform., 2022
A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2.
Briefings Bioinform., 2022
GraphTGI: an attention-based graph embedding model for predicting TF-target gene interactions.
Briefings Bioinform., 2022
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
MRLDTI: A Meta-path-Based Representation Learning Model for Drug-Target Interaction Prediction.
Proceedings of the Intelligent Computing Theories and Application, 2022
Predicting Drug-Disease Associations via Meta-path Representation Learning based on Heterogeneous Information Net works.
Proceedings of the Intelligent Computing Theories and Application, 2022
Cost and Care Insight: An Interactive and Scalable Hierarchical Learning System for Identifying Cost Saving Opportunities.
Proceedings of the Intelligent Computing Theories and Application, 2022
2021
An Effective Link-Based Clustering Algorithm for Detecting Overlapping Protein Complexes in Protein-Protein Interaction Networks.
IEEE Trans. Netw. Sci. Eng., 2021
Learning from low-rank multimodal representations for predicting disease-drug associations.
BMC Medical Informatics Decis. Mak., 2021
Integr. Comput. Aided Eng., 2021
HiSCF: leveraging higher-order structures for clustering analysis in biological networks.
Bioinform., 2021
Briefings Bioinform., 2021
SANE: A sequence combined attentive network embedding model for COVID-19 drug repositioning.
Appl. Soft Comput., 2021
Predicting Large-scale Protein-protein Interactions by Extracting Coevolutionary Patterns with MapReduce Paradigm.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the Intelligent Computing Theories and Application, 2021
Proceedings of the Intelligent Computing Theories and Application, 2021
Proceedings of the Intelligent Computing Theories and Application, 2021
Incorporating Generalized Momentum Method to Accelerate Clustering Analysis of Complex Networks.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
2020
IEEE Trans. Knowl. Data Eng., 2020
Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications.
IEEE Trans. Cybern., 2020
Incorporating the Coevolving Information of Substrates in Predicting HIV-1 Protease Cleavage Sites.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Energy-aware task scheduling with time constraint for heterogeneous cloud datacenters.
Concurr. Comput. Pract. Exp., 2020
The identification of variable-length coevolutionary patterns for predicting HIV-1 protease cleavage sites.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
A Novel Stochastic Block Model for Network-Based Prediction of Protein-Protein Interactions.
Proceedings of the Intelligent Computing Theories and Application, 2020
Embracing Disease Progression with a Learning System for Real World Evidence Discovery.
Proceedings of the Intelligent Computing Theories and Application, 2020
A Highly Efficient Biomolecular Network Representation Model for Predicting Drug-Disease Associations.
Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020
2019
Efficiently Detecting Protein Complexes from Protein Interaction Networks via Alternating Direction Method of Multipliers.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Automatic hierarchy classification in venation networks using directional morphological filtering for hierarchical structure traits extraction.
Comput. Biol. Chem., 2019
A fast algorithm to identify coevolutionary patterns from protein sequences based on tree-based data structure.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
A Gated Recurrent Unit Model for Drug Repositioning by Combining Comprehensive Similarity Measures and Gaussian Interaction Profile Kernel.
Proceedings of the Intelligent Computing Theories and Application, 2019
Learning from Deep Representations of Multiple Networks for Predicting Drug-Target Interactions.
Proceedings of the Intelligent Computing Theories and Application, 2019
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019
2018
A gene-phenotype relationship extraction pipeline from the biomedical literature using a representation learning approach.
Bioinform., 2018
IEEE Access, 2018
2017
Extracting Coevolutionary Features from Protein Sequences for Predicting Protein-Protein Interactions.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Comput. Biol. Chem., 2017
Identifying overlapping protein complexes in yeast protein interaction network via fuzzy clustering.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Discovering second-order sub-structure associations in drug molecules for side-effect prediction.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Proceedings of the AMIA 2017, 2017
2016
Fuzzy Clustering in a Complex Network Based on Content Relevance and Link Structures.
IEEE Trans. Fuzzy Syst., 2016
InDel marker detection by integration of multiple softwares using machine learning techniques.
BMC Bioinform., 2016
2015
A density-based clustering approach for identifying overlapping protein complexes with functional preferences.
BMC Bioinform., 2015