Yuan Li

11 papers B 2Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Granger-TSllm: Granger causality enhanced LLMs with residual-quantized tokenizer for multivariate time series forecasting.
Neural Networks
Jiaqi Chu, Chengbao Liu, Xiwei Bai, Yuan Li, Jie Tan
2025 J jnl
Denoising Multiscale Spectral Graph Wavelet Neural Networks for Gas Utilization Ratio Prediction in Blast Furnace.
IEEE Trans. Neural Networks Learn. Syst.
Chengbao Liu, Jingwei Li, Yuan Li, Jie Tan
2024 J jnl
Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization.
Neural Networks
Jingwei Li, Yuan Li, Jie Tan, Chengbao Liu
2024 B conf
CorrDCN: Decomposed Convolutional Network with Seasonal Autocorrelation 2D-Variation Modeling for Time Series Forecasting.
IJCNN
Jiaqi Chu, Chengbao Liu, Jingwei Li, Yuan Li, Jie Tan
2024 J jnl
It takes two: Dual Branch Augmentation Module for domain generalization.
Neural Networks
Jingwei Li, Yuan Li, Jie Tan, Chengbao Liu
2024 J jnl
Knowledge enhanced ensemble method for remaining useful life prediction under variable working conditions.
Reliab. Eng. Syst. Saf.
Yuan Li, Jingwei Li, Huanjie Wang, Chengbao Liu, Jie Tan
2024 J jnl
Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis.
J. Intell. Manuf.
Huanjie Wang, Yuan Li, Xiwei Bai, Jingwei Li, Jie Tan, Chengbao Liu
2023 J jnl
Exploring Explicitly Disentangled Features for Domain Generalization.
IEEE Trans. Circuits Syst. Video Technol.
Jingwei Li, Yuan Li, Huanjie Wang, Chengbao Liu, Jie Tan
2023 — conf
Time Series Forecasting Model Based on Domain Adaptation and Shared Attention.
IEA/AIE (2)
Yuan Li, Jingwei Li, Chengbao Liu, Jie Tan
2022 B conf
ACT: Adversarial Convolutional Transformer for Time Series Forecasting.
IJCNN
Yuan Li, Huanjie Wang, Jingwei Li, Chengbao Liu, Jie Tan
2022 J jnl
Temporal Hypergraph Attention Network for Silicon Content Prediction in Blast Furnace.
IEEE Trans. Instrum. Meas.
Chengbao Liu, Jie Tan, Jingwei Li, Yuan Li, Huanjie Wang