Bin Liu

Orcid: 0000-0001-9052-8615

Affiliations:
  • Chongqing University of Posts and Telecommunications, Chongqing, China
  • Aristotle University of Thessaloniki, Greece (former)


According to our database1, Bin Liu authored at least 12 papers between 2018 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Oversampling multi-label data based on natural neighbor and label correlation.
Expert Syst. Appl., 2025

2024
HiGraphDTI: Hierarchical Graph Representation Learning for Drug-Target Interaction Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023
Fine-grained selective similarity integration for drug-target interaction prediction.
Briefings Bioinform., March, 2023

On the Persistence of Multilabel Learning, Its Recent Trends, and Its Open Issues.
IEEE Intell. Syst., 2023

2022
Multi-label sampling based on local label imbalance.
Pattern Recognit., 2022

Multiple similarity drug-target interaction prediction with random walks and matrix factorization.
Briefings Bioinform., 2022

Drug-target interaction prediction via an ensemble of weighted nearest neighbors with interaction recovery.
Appl. Intell., 2022

2021
Addressing class imbalance in multi-label data
PhD thesis, 2021

Optimizing Area Under the Curve Measures via Matrix Factorization for Drug-Target Interaction Prediction.
CoRR, 2021

2020
Dealing with class imbalance in classifier chains via random undersampling.
Knowl. Based Syst., 2020

2019
Synthetic Oversampling of Multi-label Data Based on Local Label Distribution.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018
Making Classifier Chains Resilient to Class Imbalance.
Proceedings of The 10th Asian Conference on Machine Learning, 2018


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