Yun Zhang

Orcid: 0000-0001-8716-4179

Affiliations:
  • 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 22 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

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

Exploring Chinese word embedding with similar context and reinforcement learning.
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

Time-frequency deep metric learning for multivariate time series classification.
Neurocomputing, 2021

Deep Multiple Metric Learning for Time Series Classification.
IEEE Access, 2021

2020
GLLPA: A Graph Layout based Label Propagation Algorithm for community detection.
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

NALPA: A Node Ability Based Label Propagation Algorithm for Community Detection.
IEEE Access, 2020

TCMKG: A Deep Learning Based Traditional Chinese Medicine Knowledge Graph Platform.
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

Learning Chinese Word Embeddings from Stroke, Structure and Pinyin of Characters.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019


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