Yuan Li

According to our database, Yuan Li authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Denoising Multiscale Spectral Graph Wavelet Neural Networks for Gas Utilization Ratio Prediction in Blast Furnace.

Chengbao Liu, Jingwei Li, Yuan Li, Jie Tan

IEEE Trans. Neural Networks Learn. Syst., June, 2025

2024

Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis.

Huanjie Wang, Yuan Li, Xiwei Bai, Jingwei Li, Jie Tan, Chengbao Liu

J. Intell. Manuf., October, 2024

Knowledge enhanced ensemble method for remaining useful life prediction under variable working conditions.

Yuan Li, Jingwei Li, Huanjie Wang, Chengbao Liu, Jie Tan

Reliab. Eng. Syst. Saf., February, 2024

It takes two: Dual Branch Augmentation Module for domain generalization.

Jingwei Li, Yuan Li, Jie Tan, Chengbao Liu

Neural Networks, 2024

Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization.

Jingwei Li, Yuan Li, Jie Tan, Chengbao Liu

Neural Networks, 2024

CorrDCN: Decomposed Convolutional Network with Seasonal Autocorrelation 2D-Variation Modeling for Time Series Forecasting.

Jiaqi Chu, Chengbao Liu, Jingwei Li, Yuan Li, Jie Tan

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Exploring Explicitly Disentangled Features for Domain Generalization.

Jingwei Li, Yuan Li, Huanjie Wang, Chengbao Liu, Jie Tan

IEEE Trans. Circuits Syst. Video Technol., November, 2023

Time Series Forecasting Model Based on Domain Adaptation and Shared Attention.

Yuan Li, Jingwei Li, Chengbao Liu, Jie Tan

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023

2022

Temporal Hypergraph Attention Network for Silicon Content Prediction in Blast Furnace.

Chengbao Liu, Jie Tan, Jingwei Li, Yuan Li, Huanjie Wang

IEEE Trans. Instrum. Meas., 2022

ACT: Adversarial Convolutional Transformer for Time Series Forecasting.

Yuan Li, Huanjie Wang, Jingwei Li, Chengbao Liu, Jie Tan

Proceedings of the International Joint Conference on Neural Networks, 2022