Debby D. Wang

According to our database, Debby D. Wang authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

GeCC: Generalized Contrastive Clustering with Domain Shifts Modeling.

Yujie Chen, Wenhui Wu, Le Ou-Yang, Ran Wang, Debby D. Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Structure-based, deep-learning models for protein-ligand binding affinity prediction.

Debby D. Wang, Wenhui Wu, Ran Wang

J. Cheminformatics, December, 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., January, 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., January, 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

Learning of Molecular Graphs in Toxicity Prediction.

Yuting Huang, Dunlu Peng, Debby D. Wang

Proceedings of the International Conference on Machine Learning and Cybernetics, 2024

Model Uncertainty Estimation Based on a Dual-Module Neural Network Architecture.

Weiqing Guo, Tianlun Zhang, Dunlu Peng, Debby D. Wang

Proceedings of the International Conference on Machine Learning and Cybernetics, 2024

2023

Scoring Protein-Ligand Complex Structures by HybridNet.

Debby D. Wang, Ran Wang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Multi-Label Oversampling Based on Borderline.

Xin-Yin Zhang, Ran Wang, Debby D. Wang

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023