Weizhong Zhao
Orcid: 0000-0001-8552-6084
According to our database1,
Weizhong Zhao
authored at least 76 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Prediction of Drug-Disease Associations Based on Multi-Kernel Deep Learning Method in Heterogeneous Graph Embedding.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
2023
An Effective Model for Predicting Phage-Host Interactions Via Graph Embedding Representation Learning With Multi-Head Attention Mechanism.
IEEE J. Biomed. Health Informatics, June, 2023
Improving drug-drug interactions prediction with interpretability via meta-path-based information fusion.
Briefings Bioinform., March, 2023
An Explainable Framework for Predicting Drug-Side Effect Associations via Meta-Path-Based Feature Learning in Heterogeneous Information Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
A novel framework for deep knowledge tracing via gating-controlled forgetting and learning mechanisms.
Inf. Process. Manag., 2023
Frontiers Comput. Sci., 2023
Proceedings of the Database Systems for Advanced Applications, 2023
An Effective Microbial-drug Relation Extraction Model Based on Dual Graph Convolutional Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
An Effective Model for Drug-Drug Interactions Prediction in Cold-start Scenario via Counterfactual Data Augmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Counterfactual Inference-based Data Augmentation for Drug-side effect Associations Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Cascade Decoding for Antibiotic Resistance Event Extraction Based on Contrastive Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Document-Level Chemical-Induced Disease Relation Extraction via Hierarchical Representation Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
A multi-label learning framework for predicting antibiotic resistance genes via dual-view modeling.
Briefings Bioinform., 2022
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Prediction of Drug-Drug Interactions Based on Meta-path-based Fusion Mechanism in Heterogeneous Information Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
A Novel Drug Repositioning Model Based on Heterogeneous Graph Convolutional Network via Multi-task Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
MPGNN-DSA: A Meta-path-based Graph Neural Network for drug-side effect association prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Predicting human microbe-disease associations based on multi-source heterogeneous graph representation learning model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Inferring microbe-metabolite interactions by heterogeneous network fusion based on graph convolution network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
A Semi-supervised Learning Approach Based on Adaptive Weighted Fusion for Automatic Image Annotation.
ACM Trans. Multim. Comput. Commun. Appl., 2021
A novel joint biomedical event extraction framework via two-level modeling of documents.
Inf. Sci., 2021
An effective framework for semistructured document classification via hierarchical attention model.
Int. J. Intell. Syst., 2021
Bioinform., 2021
An improved RL-based framework for multiple biomedical event extraction via self-supervised learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Discovering Drug-Drug Associations in the FDA Adverse Event Reporting System Database with Data Mining Approaches.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
An end-to-end framework for biomedical event trigger identification with hierarchical attention and adaptive cost learning.
Int. J. Data Min. Bioinform., 2020
A Novel Method for Multiple Biomedical Events Extraction with Reinforcement Learning and Knowledge Bases.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
An Effective Framework for Document-level Chemical-induced Disease Relation Extraction via Fine-grained Interaction between Contexts.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Knowledge-aware Few-shot Learning Framework for Biomedical Event Trigger Identification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Corrigendum to "multi-resolution classification of exhaled aerosol images to detect obstructive lung diseases in small airways" [comput. Biol. Med. 87 (2017) 57-69].
Comput. Biol. Medicine, 2019
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
SBRNE: An Improved Unified Framework for Social and Behavior Recommendations with Network Embedding.
Proceedings of the Database Systems for Advanced Applications, 2019
Hierarchical-Document-Structure-Aware Attention with Adaptive Cost Sensitive Learning for Biomedical Document Classification.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
An Improved Biomedical Event Trigger Identification Framework via Modeling Document with Hierarchical Attention.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Leveraging Hypergraph Random Walk Tag Expansion and User Social Relation for Microblog Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2018
2017
Multi-resolution classification of exhaled aerosol images to detect obstructive lung diseases in small airways.
Comput. Biol. Medicine, 2017
AnySCAN: An Efficient Anytime Framework with Active Learning for Large-Scale Network Clustering.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
2016
Erratum to: A novel procedure on next generation sequencing data analysis using text mining algorithm.
BMC Bioinform., 2016
A novel procedure on next generation sequencing data analysis using text mining algorithm.
BMC Bioinform., 2016
Discovering Multiple Social Ties for Characterization of Individuals in Online Social Networks.
Proceedings of the Third European Network Intelligence Conference, 2016
2015
BMC Bioinform., December, 2015
Inf. Process. Manag., 2015
Proceedings of the Knowledge Science, Engineering and Management, 2015
2014
BMC Bioinform., 2014
Proceedings of the Intelligent Information Processing VII, 2014
2013
A nonnegative matrix factorization framework for semi-supervised document clustering with dual constraints.
Knowl. Inf. Syst., 2013
Learning semantic concepts from image database with hybrid generative/discriminative approach.
Eng. Appl. Artif. Intell., 2013
Data mining tools for Salmonella characterization: application to gel-based fingerprinting analysis.
BMC Bioinform., 2013
Fast Information Retrieval and Social Network Mining via Cosine Similarity Upper Bound.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013
Proceedings of the 27th IEEE International Conference on Advanced Information Networking and Applications, 2013
Proceedings of the 27th IEEE International Conference on Advanced Information Networking and Applications, 2013
2012
Effective semi-supervised document clustering via active learning with instance-level constraints.
Knowl. Inf. Syst., 2012
Proceedings of the Intelligent Information Processing VI, 2012
Proceedings of the Intelligent Information Processing VI, 2012
2011
Soft Comput., 2011
Computational Analysis of Drought Stress-Associated miRNAs and miRNA Co-Regulation Network in Physcomitrella patens.
Genom. Proteom. Bioinform., 2011
Comput. Math. Appl., 2011
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011
2010
Orthogonal Nonnegative Matrix Tri-factorization for Semi-supervised Document Co-clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010
2009
Active Learning of Instance-Level Constraints for Semi-supervised Document Clustering.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009
Proceedings of the Cloud Computing, First International Conference, CloudCom 2009, Beijing, 2009
Proceedings of the Information Retrieval Technology, 2009
2008
Monitoring of Environmentally Hazardous Exhaust Emissions from Cars Using Optical Fibre Sensors.
Proceedings of the Embedded Computer Systems: Architectures, 2008
2007
Int. J. Intell. Syst. Technol. Appl., 2007
2005
Proceedings of the Computational Science and Its Applications, 2005