ACT: Adversarial Convolutional Transformer for Time Series Forecasting. - Yuan Li 062; Huanjie Wang; Jingwei Li; Chengbao Liu; Jie Tan 003 (IJCNN, 2022)

Temporal Hypergraph Attention Network for Silicon Content Prediction in Blast Furnace. - Chengbao Liu; Jie Tan 003; Jingwei Li; Yuan Li 062; Huanjie Wang (IEEE Trans. Instrum. Meas., 2022)

Time Series Forecasting Model Based on Domain Adaptation and Shared Attention. - Yuan Li 062; Jingwei Li; Chengbao Liu; Jie Tan 003 (IEA/AIE (2), 2023)

Exploring Explicitly Disentangled Features for Domain Generalization. - Jingwei Li; Yuan Li 062; Huanjie Wang; Chengbao Liu; Jie Tan 003 (IEEE Trans. Circuits Syst. Video Technol., 2023)

CorrDCN: Decomposed Convolutional Network with Seasonal Autocorrelation 2D-Variation Modeling for Time Series Forecasting. - Jiaqi Chu; Chengbao Liu; Jingwei Li; Yuan Li 062; Jie Tan 003 (IJCNN, 2024)

Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization. - Jingwei Li; Yuan Li 062; Jie Tan 003; Chengbao Liu (Neural Networks, 2024)

It takes two: Dual Branch Augmentation Module for domain generalization. - Jingwei Li; Yuan Li 062; Jie Tan 003; Chengbao Liu (Neural Networks, 2024)

Knowledge enhanced ensemble method for remaining useful life prediction under variable working conditions. - Yuan Li 062; Jingwei Li; Huanjie Wang; Chengbao Liu; Jie Tan 003 (Reliab. Eng. Syst. Saf., 2024)

Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis. - Huanjie Wang; Yuan Li 062; Xiwei Bai; Jingwei Li; Jie Tan 003; Chengbao Liu (J. Intell. Manuf., 2024)

Denoising Multiscale Spectral Graph Wavelet Neural Networks for Gas Utilization Ratio Prediction in Blast Furnace. - Chengbao Liu; Jingwei Li; Yuan Li 062; Jie Tan 003 (IEEE Trans. Neural Networks Learn. Syst., 2025)