Multi-Label Oversampling Based on Borderline. - Xin-Yin Zhang; Ran Wang; Debby D. Wang (ICMLC, 2023)

Scoring Protein-Ligand Complex Structures by HybridNet. - Debby D. Wang; Ran Wang (SMC, 2023)

Model Uncertainty Estimation Based on a Dual-Module Neural Network Architecture. - Weiqing Guo; Tianlun Zhang; Dunlu Peng; Debby D. Wang (ICMLC, 2024)

Learning of Molecular Graphs in Toxicity Prediction. - Yuting Huang; Dunlu Peng; Debby D. Wang (ICMLC, 2024)

Feature similarity learning based on fuzziness minimization for semi-supervised medical image segmentation. - Tianlun Zhang; Xinlei Zhou; Debby D. Wang; Xizhao Wang (Inf. Fusion, 2024)

An efficient method of renewing object-induced three-way concept lattices involving decreasing attribute-granularity levels. - Junping Xie; Jing Yang; Jinhai Li; Debby D. Wang (Int. J. Approx. Reason., 2024)

A novel information fusion method using improved entropy measure in multi-source incomplete interval-valued datasets. - Weihua Xu; Ke Cai; Debby D. Wang (Int. J. Approx. Reason., 2024)

Structure-based, deep-learning models for protein-ligand binding affinity prediction. - Debby D. Wang; Wenhui Wu 001; Ran Wang 001 (J. Cheminformatics, 2024)

GeCC: Generalized Contrastive Clustering with Domain Shifts Modeling. - Yujie Chen; Wenhui Wu 001; Le Ou-Yang; Ran Wang 001; Debby D. Wang (AAAI, 2025)

A Swin Transformer based on multi-directional-shift window attention and inductive bias for diagnosis of pleural effusion. - Zekun Tian; Dunlu Peng; Debby D. Wang; Linna Zhang; Zheng Zou; Hejing Huang; Shiqi Zhang (Appl. Soft Comput., 2025)