A Hybrid Monotonic Neural Network Approach for Multi-Area Power System Load Frequency Control Against FGSM Attack.
IEEE Trans. Circuits Syst. II Express Briefs, August, 2024
Data-Driven Based Characterization of Anisotropic Mechanical Properties for Cancellous Bone From Low-Resolution CT Images.
IEEE Trans. Biomed. Eng., February, 2024
A Dimensional Augmentation-Based Data-Driven Method for Detecting False Data Injection in Smart Meters.
IEEE Trans. Smart Grid, January, 2024
HomoGenius: a Foundation Model of Homogenization for Rapid Prediction of Effective Mechanical Properties using Neural Operators.
CoRR, 2024
Euk-mPSL: A Deep Learning Framework for Multi-Label Eukaryotic Protein Subcellular Localization Prediction with Imbalanced Datasets.
Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science, 2023
Viabin: A novel method for Overlapped Binning of Metagenomic Contigs using ZINB-autodecoder and Assembly Graphs: Viabin: a metagenomic contigs binning tool.
Proceedings of the 3rd International Conference on Bioinformatics and Intelligent Computing, 2023
Vulnerability Assessment of Deep Reinforcement Learning Models for Power System Topology Optimization.
IEEE Trans. Smart Grid, 2021
Comparative Study on Collaborative Innovation Practices for Excavating Innovation Potentials of Undergraduates in Engineering.
Proceedings of the 2021 IEEE International Conference on Engineering, 2021