Pengwei Hu
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Bibliography
2024
IEEE CAA J. Autom. Sinica, May, 2024
Discovering Consensus Regions for Interpretable Identification of RNA N6-Methyladenosine Modification Sites via Graph Contrastive Clustering.
IEEE J. Biomed. Health Informatics, April, 2024
Bio-Inspired Antagonistic Differential Polarization Algorithm for Heading Determination in Underwater Low-Light Environments.
IEEE Trans. Ind. Informatics, April, 2024
Saliency-Aware Dual Embedded Attention Network for Multivariate Time-Series Forecasting in Information Technology Operations.
IEEE Trans. Ind. Informatics, March, 2024
Underwater Downwelling Radiance Fields Enable Three-Dimensional Attitude and Heading Determination.
IEEE Trans. Ind. Informatics, February, 2024
Underwater Autonomous Geolocalization Using Time Differential Polarization Field Against Measurement Deviations.
IEEE Trans. Aerosp. Electron. Syst., February, 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
STAGAN: An approach for improve the stability of molecular graph generation based on generative adversarial networks.
Comput. Biol. Medicine, December, 2023
Biocaiv: an integrative webserver for motif-based clustering analysis and interactive visualization of biological networks.
BMC Bioinform., December, 2023
Neurocomputing, November, 2023
iGRLDTI: an improved graph representation learning method for predicting drug-target interactions over heterogeneous biological information network.
Bioinform., August, 2023
IEEE J. Biomed. Health Informatics, 2023
PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions.
IEEE J. Biomed. Health Informatics, 2023
Confocal Ellipse Hough Transform for Polarization Compass in the Nonideal Atmosphere.
IEEE Trans. Instrum. Meas., 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
Log-FGAER: Logic-Guided Fine-Grained Address Entity Recognition from Multi-Turn Spoken Dialogue.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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
Identifying Protein Complexes From Protein-Protein Interaction Networks Based on Fuzzy Clustering and GO Semantic Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
A 3D Attitude Estimation Method Based on Attitude Angular Partial Feedback for Polarization-Based Integrated Navigation System.
Sensors, 2022
HigeNet: A Highly Efficient Modeling for Long Sequence Time Series Prediction in AIOps.
CoRR, 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
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
MRLDTI: A Meta-path-Based Representation Learning Model for Drug-Target Interaction Prediction.
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
CDX-NET: Cross-Domain Multi-Feature Fusion Modeling Via Deep Neural Networks for Multivariate Time Series Forecasting in AIOps.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Learning from low-rank multimodal representations for predicting disease-drug associations.
BMC Medical Informatics Decis. Mak., 2021
Integr. Comput. Aided Eng., 2021
Predicting microRNA-disease associations from lncRNA-microRNA interactions via Multiview Multitask Learning.
Briefings Bioinform., 2021
Briefings Bioinform., 2021
Proceedings of the Intelligent Computing Theories and Application, 2021
Proceedings of the Intelligent Computing Theories and Application, 2021
2020
Incorporating the Coevolving Information of Substrates in Predicting HIV-1 Protease Cleavage Sites.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Learning Multimodal Networks From Heterogeneous Data for Prediction of lncRNA-miRNA Interactions.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Bioinform., 2020
Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020
Automatic Depression Detection via Facial Expressions Using Multiple Instance Learning.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 2020 IEEE International Conference on Web Services, 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 Network Embedding-Based Method for Predicting miRNA-Disease Associations by Integrating Multiple Information.
Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020
A MapReduce-Based Parallel Random Forest Approach for Predicting Large-Scale Protein-Protein Interactions.
Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Network-Based Prediction of Major Adverse Cardiac Events in Acute Coronary Syndromes from Imbalanced EMR Data.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Prediction of Synergistic Drug Combinations by Learning from Deep Representations of Multiple Networks.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
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
Combining LSTM Network Model and Wavelet Transform for Predicting Self-interacting Proteins.
Proceedings of the Intelligent Computing Theories and Application, 2019
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019
Cancer Patients' Emotional Health Discovering: Influences of Health Literacy, Fatalism and Peer Support.
Proceedings of the AMIA 2019, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
IEEE Access, 2018
Discovering an Integrated Network in Heterogeneous Data for Predicting lncRNA-miRNA Interactions.
Proceedings of the Intelligent Computing Theories and Application, 2018
Learning Latent Patterns in Molecular Data for Explainable Drug Side Effects Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Comput. Biol. Chem., 2017
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 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
2016
Construction of reliable protein-protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features.
Neurocomputing, 2016