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

FedSTG: Breaking through Spatio-Temporal Data Silos with Federated Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Exploiting Language Power for Time Series Forecasting with Exogenous Variables.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

Do We Really Need GCNs in Traffic Forecasting? A Graph-Less Pure-MLP Architecture.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Revealing Concept Shift in Spatio-Temporal Graphs via State Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 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

2024

Predicting Collective Human Mobility via Countering Spatiotemporal Heterogeneity.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., May, 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

ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Improving Generalization of Dynamic Graph Learning via Environment Prompt.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

LeRet: Language-Empowered Retentive Network for Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 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

EMoNet: An environment causal learning for molecule OOD generalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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

DrugAI: a multi-view deep learning model for predicting drug-target activating/inhibiting mechanisms.

[BibT_eX]

[DOI]

Briefings Bioinform., January, 2023

Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

EXTRACT and REFINE: Finding a Support Subgraph Set for Graph Representation.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

GReTo: Remedying dynamic graph topology-task discordance via target homophily.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 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

Decoding multilevel relationships with the human tissue-cell-molecule network.

[BibT_eX]

[DOI]

Briefings Bioinform., 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