Application of a Transformer network based on multi-scale branches and fast Fourier gating mechanism in the state of charge prediction for sodium-ion batteries.

[BibT_eX]

[DOI]

Zixi Liu

Guanqiang Ruan

Expert Syst. Appl., 2025

A deep learning model based on multi-attention mechanism and gated recurrent unit network for photovoltaic power forecasting.

[BibT_eX]

[DOI]

Kuo Yang

Yanjie Cai

Jinrun Cheng

Comput. Electr. Eng., 2025

Representation Potentials of Foundation Models for Multimodal Alignment: A Survey.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Clinically Interpretable Geometric Constraints for Optic Cup and Disc Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Articulated vehicle rollover detection and active control based on center of gravity position metric.

[BibT_eX]

[DOI]

J. Syst. Control. Eng., March, 2024

Photovoltaic power forecasting: A dual-attention gated recurrent unit framework incorporating weather clustering and transfer learning strategy.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2024

EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions.

[BibT_eX]

[DOI]

CoRR, 2024

Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

CLAD: A realistic Continual Learning benchmark for Autonomous Driving.

[BibT_eX]

[DOI]

Eduardo Pérez-Pellitero

Matthias De Lange

Tinne Tuytelaars

Neural Networks, April, 2023

Cup-Disk Ratio Segmentation Joint with Key Retinal Vascular Information Under Diagnostic and Screening Scenarios.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computer Graphics, 2023

2022

Memory Replay with Data Compression for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Re-examining Distillation for Continual Object Detection.

[BibT_eX]

[DOI]

Eduardo Pérez-Pellitero

Matthias De Lange

Tinne Tuytelaars

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

A Review of Artificial Intelligence Technologies for Early Prediction of Alzheimer's Disease.

[BibT_eX]

[DOI]

Kuo Yang

Emad A. Mohammed

CoRR, 2021

Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2021

RSS-Based Indoor Localization Using Min-Max Algorithm With Area Partition Strategy.

[BibT_eX]

[DOI]

IEEE Access, 2021

Detection of Alzheimer's Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images.

[BibT_eX]

[DOI]

Kuo Yang

Emad A. Mohammed

Behrouz H. Far

Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021

ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning.

[BibT_eX]

[DOI]

Liyuan Wang

Kuo Yang

Chongxuan Li