Advancing Bioactivity Prediction Through Molecular Docking and Self-Attention.
IEEE J. Biomed. Health Informatics, December, 2024
ProAffinity-GNN: A Novel Approach to Structure-Based Protein-Protein Binding Affinity Prediction via a Curated Data Set and Graph Neural Networks.
J. Chem. Inf. Model., 2024
An open unified deep graph learning framework for discovering drug leads.
CoRR, 2023
Prediction of thawing settlement coefficient of frozen soil using 5G communication.
Soft Comput., 2022
A Machine Learning Study on Internal Force Characteristics of the Anti-Slide Pile Based on the DOFS-BOTDA Monitoring Technology.
Sensors, 2022
Universal multi-Source domain adaptation for image classification.
Pattern Recognit., 2022
Metric learning for domain adversarial network.
Frontiers Comput. Sci., 2022
AFSE: towards improving model generalization of deep graph learning of ligand bioactivities targeting GPCR proteins.
Briefings Bioinform., 2022
Pseudo-margin-based universal domain adaptation.
Knowl. Based Syst., 2021
RealVS: Toward Enhancing the Precision of Top Hits in Ligand-Based Virtual Screening of Drug Leads from Large Compound Databases.
J. Chem. Inf. Model., 2021
Metric-learning-assisted domain adaptation.
Neurocomputing, 2021
Universal Multi-Source Domain Adaptation.
CoRR, 2020
Unveiling Class-Labeling Structure for Universal Domain Adaptation.
CoRR, 2020
A framework for security on demand.
Proceedings of the 13th International Wireless Communications and Mobile Computing Conference, 2017
A comprehensive security architecture for SDN.
Proceedings of the 18th International Conference on Intelligence in Next Generation Networks, 2015