Making Classifier Chains Resilient to Class Imbalance. - Bin Liu 058; Grigorios Tsoumakas (ACML, 2018)

Synthetic Oversampling of Multi-label Data Based on Local Label Distribution. - Bin Liu 058; Grigorios Tsoumakas (ECML/PKDD (2), 2019)

Dealing with class imbalance in classifier chains via random undersampling. - Bin Liu 058; Grigorios Tsoumakas (Knowl. Based Syst., 2020)

Optimizing Area Under the Curve Measures via Matrix Factorization for Drug-Target Interaction Prediction. - Bin Liu 058; Grigorios Tsoumakas (CoRR, 2021)

Addressing class imbalance in multi-label data - Bin Liu 058 (2021)

Drug-target interaction prediction via an ensemble of weighted nearest neighbors with interaction recovery. - Bin Liu 058; Konstantinos Pliakos; Celine Vens; Grigorios Tsoumakas (Appl. Intell., 2022)

Multiple similarity drug-target interaction prediction with random walks and matrix factorization. - Bin Liu 058; Dimitrios Papadopoulos 004; Fragkiskos D. Malliaros; Grigorios Tsoumakas; Apostolos N. Papadopoulos (Briefings Bioinform., 2022)

Multi-label sampling based on local label imbalance. - Bin Liu 058; Konstantinos Blekas; Grigorios Tsoumakas (Pattern Recognit., 2022)

On the Persistence of Multilabel Learning, Its Recent Trends, and Its Open Issues. - Nikolaos Mylonas; Ioannis Mollas; Bin Liu 058; Yannis Manolopoulos; Grigorios Tsoumakas (IEEE Intell. Syst., 2023)

Fine-grained selective similarity integration for drug-target interaction prediction. - Bin Liu 058; Jin Wang 006; Kaiwei Sun; Grigorios Tsoumakas (Briefings Bioinform., 2023)

HiGraphDTI: Hierarchical Graph Representation Learning for Drug-Target Interaction Prediction. - Bin Liu 058; Siqi Wu; Jin Wang 006; Xin Deng 003; Ao Zhou (ECML/PKDD (6), 2024)

Multi-label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples. - Ao Zhou; Bin Liu 058; Zhaoyang Peng; Jin Wang 006; Grigorios Tsoumakas (ECML/PKDD (5), 2024)

Multi-Label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples. - Ao Zhou; Bin Liu 058; Jin Wang 006; Grigorios Tsoumakas (CoRR, 2024)

Integrating Similarities via Local Interaction Consistency and Optimizing Area Under the Curve Measures via Matrix Factorization for Drug-Target Interaction Prediction. - Bin Liu 058; Grigorios Tsoumakas (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Oversampling multi-label data based on natural neighbor and label correlation. - Bin Liu 058; Ao Zhou; Bingkun Wei; Jin Wang 006; Grigorios Tsoumakas (Expert Syst. Appl., 2025)

Multi-level hierarchical dynamic graph convolutional networks for motor imagery EEG analysis. - Xin Deng 003; Daijiang Xu; Huaxiang Huo; Xinyi Hong; Bin Liu 058 (Neurocomputing, 2025)