Yun Zhang
Orcid: 0000-0001-8716-4179Affiliations:
- University of Electronic Science and Technology of China, Innovation Center of Advanced Pharmaceuticals and Artificial Intelligence, School of Information and Software Engineering, Chengdu, China
According to our database1,
Yun Zhang
authored at least 24 papers
between 2019 and 2025.
Collaborative distances:
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Bibliography
2025
FRGEM: Feature integration pre-training based Gaussian embedding model for Chinese word representation.
Expert Syst. Appl., 2025
2024
Clust. Comput., November, 2024
HIFINet: Examination-Diagnosis-Treatment Hierarchical Feedback Interaction Network for Medication Recommendation.
Neural Process. Lett., April, 2024
Shared Manifold Regularized Joint Feature Selection for Joint Classification and Regression in Alzheimer's Disease Diagnosis.
IEEE Trans. Image Process., 2024
2023
DAEM: Deep attributed embedding based multi-task learning for predicting adverse drug-drug interaction.
Expert Syst. Appl., April, 2023
A Word-Concept Heterogeneous Graph Convolutional Network for Short Text Classification.
Neural Process. Lett., February, 2023
Orthogonal latent space learning with feature weighting and graph learning for multimodal Alzheimer's disease diagnosis.
Medical Image Anal., 2023
A Weakly Supervised Deep Learning Model for Alzheimer's Disease Prognosis Using MRI and Incomplete Labels.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
2022
Adaptive Regularized Multiattribute Fuzzy Distance Learning for Predicting Adverse Drug-Drug Interaction.
IEEE Trans. Fuzzy Syst., 2022
Multi-Attribute Discriminative Representation Learning for Prediction of Adverse Drug-Drug Interaction.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Neural Comput. Appl., 2022
Low-rank sparse feature selection with incomplete labels for Alzheimer's disease progression prediction.
Comput. Biol. Medicine, 2022
2021
Attribute Supervised Probabilistic Dependent Matrix Tri-Factorization Model for the Prediction of Adverse Drug-Drug Interaction.
IEEE J. Biomed. Health Informatics, 2021
FSPRM: A Feature Subsequence Based Probability Representation Model for Chinese Word Embedding.
IEEE ACM Trans. Audio Speech Lang. Process., 2021
Neurocomputing, 2021
2020
Knowl. Based Syst., 2020
A no self-edge stochastic block model and a heuristic algorithm for balanced anti-community detection in networks.
Inf. Sci., 2020
LILPA: A label importance based label propagation algorithm for community detection with application to core drug discovery.
Neurocomputing, 2020
A Semantic Analysis and Community Detection-Based Artificial Intelligence Model for Core Herb Discovery from the Literature: Taking Chronic Glomerulonephritis Treatment as a Case Study.
Comput. Math. Methods Medicine, 2020
IEEE Access, 2020
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020
2019
IHPreten: A novel supervised learning framework with attribute regularization for prediction of incompatible herb pair in traditional Chinese medicine.
Neurocomputing, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019