Kuo Yang

Orcid: 0000-0003-0736-4512

Affiliations:
  • Beijing Jiaotong University, School of Computer Science and Technology, Beijing Key Lab of Traffic Data Analysis and Mining, Beijing, China


According to our database1, Kuo Yang authored at least 30 papers between 2015 and 2025.

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

Timeline

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Bibliography

2025
KGCRR: An Effective Metric-Driven Knowledge Graph Completion Framework by Designing a Novel Upper Bound Function with Adaptive Approximation to Reciprocal Rank.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
DAPNet: multi-view graph contrastive network incorporating disease clinical and molecular associations for disease progression prediction.
BMC Medical Informatics Decis. Mak., December, 2024

PresRecST: a novel herbal prescription recommendation algorithm for real-world patients with integration of syndrome differentiation and treatment planning.
J. Am. Medical Informatics Assoc., 2024

KDGene: knowledge graph completion for disease gene prediction using interactional tensor decomposition.
Briefings Bioinform., 2024

HTINet2: herb-target prediction via knowledge graph embedding and residual-like graph neural network.
Briefings Bioinform., 2024

Benchmarking Biomedical Relation Knowledge in Large Language Models.
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

PresRecCD: A Novel Herbal Prescription Recommendation Framework with Cross-Domain Learning and Neural Collaborative Filtering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

LMDTA: Molecular Pre-trained and Interaction Fine-tuned Attention Neural Network for Drug-Target Affinity Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
DRONet: effectiveness-driven drug repositioning framework using network embedding and ranking learning.
Briefings Bioinform., January, 2023

SympGAN: A systematic knowledge integration system for symptom-gene associations network.
Knowl. Based Syst., 2023

A optimization framework for herbal prescription planning based on deep reinforcement learning.
CoRR, 2023

Knowledge Graph Completion based on Tensor Decomposition for Disease Gene Prediction.
CoRR, 2023

A Pre-training Framework for Knowledge Graph Completion.
CoRR, 2023

Application of constraint-based frequent closed itemsets Mining in TCM Clinical data Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Analysis of the effect of the interaction between medical and comorbidities on hospital readmission in patients with rheumatoid arthritis based on case data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
PDGNet: Predicting Disease Genes Using a Deep Neural Network With Multi-View Features.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Link Prediction based on Tensor Decomposition for the Knowledge Graph of COVID-19 Antiviral Drug.
Data Intell., 2022

RESurv: A Deep Survival Analysis Model to Reveal Population Heterogeneity by Individual Risk.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Phenonizer: A fine-grained phenotypic named entity recognizer for Chinese clinical texts.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

TCMPR: TCM Prescription recommendation based on subnetwork term mapping and deep learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Integrated network analysis of symptom clusters across disease conditions.
J. Biomed. Informatics, 2020

Disease phenotype synonymous prediction through network representation learning from PubMed database.
Artif. Intell. Medicine, 2020

Network-based gene prediction for TCM symptoms.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
HerGePred: Heterogeneous Network Embedding Representation for Disease Gene Prediction.
IEEE J. Biomed. Health Informatics, 2019

SymMap: an integrative database of traditional Chinese medicine enhanced by symptom mapping.
Nucleic Acids Res., 2019

2018
Heterogeneous network propagation for herb target identification.
BMC Medical Informatics Decis. Mak., 2018

Heterogeneous network embedding for identifying symptom candidate genes.
J. Am. Medical Informatics Assoc., 2018

2017
Overlapping Functional Modules Detection in PPI Network with Pairwise Constrained Nonnegative Matrix Tri-Factorization.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016
Similarity-based algorithms for Disease Terminology Mapping.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Integrating herb effect similarity for network-based herb target prediction.
Proceedings of the 8th International Conference on Biomedical Engineering and Informatics, 2015


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