| 2026 | AAAI | R-Tuning: Wavelet-Decomposed Replay and Semantic Alignment for Continual Adaptation of Pretrained Time-Series Models. | Tianyi Yin, Jingwei Wang, Chenze Wang, Han Wang, Jiexuan Cai, Min Liu, Yunlong Ma, Kun Gao, Yuting Song, Weiming Shen |
| 2025 | AAAI | Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting. | Tianyi Yin, Jingwei Wang, Yunlong Ma, Han Wang, Chenze Wang, Yukai Zhao, Min Liu, Weiming Shen |
| 2025 | CSCWD | Prototypical Normalized Output Domain Adversarial Adaptation Network for Fault Diagnosis with Fusion Perception. | Keao Meng, Han Wang, Chenze Wang, Qing Liu, Yufeng Chen, Gaowei Xu, Min Liu |
| 2025 | SMC | ACET: An Adaptive Component Extraction and Tokenization Framework for Time Series Forecasting. | Jiexuan Cai, Tianyi Yin, Jingwei Wang, Chenze Wang, Yukai Zhao, Yunlong Ma, Min Liu |
| 2024 | SMC | Self-Supervised Generative Pre-Trained Model with a Learnable Mask Network for Industrial Time Series Prediction. | Chenze Wang, Han Wang, Qing Liu |
| 2023 | CSCWD | A Safe-Domain Generative Adversarial Network with Transformer for Noisy Imbalanced Fault Diagnosis. | Xiaohan Zhang, Han Wang, Chenze Wang, Qing Liu, Min Liu |