[1] Lei Liu(刘磊), Xinyu Wang, Xue Dong, Kang Chen, Qiuju Chen, Bin Li. Interpretable Feature-Temporal Transformer for Short-term Wind Power Forecasting with Multivariate Time Series[J]. Applied Energy, 2024, 374: 124035. (SCI, 一区TOP，IF: 11.2)   

[2] Lei Liu(刘磊), Jicheng Liu, Yu Ye, Hui Liu, Kun Chen, Dong Li, Xue Dong, Mingzhai Sun. Ultra-short-term wind power forecasting based on deep bayesian model with uncertainty [J]. Renewable Energy, 2023, 205: 598-607. (SCI, 一区TOP，IF：9.0)

[3] Lei Liu(刘磊), Jiahui Huang, Hongwei Zhao, Tianqi Li, Bin Li. PatchFormer: A novel patch-based transformer for accurate remaining useful life prediction of lithium-ion batteries[J]. Journal of Power Sources, 2025, 631: 236187.(SCI, 二区TOP，IF: 8.3)   

[4] Lei Liu (刘磊), Jiahui Huang, Bo Peng, Ying Li, Peng Wang, Xianhao Wang, Hongwei Zhao, Bin Li. Physics-informed and interpretable state of health estimation framework for lithium-ion batteries[J]. Journal of Energy Storage, 2026, 153: 120860. (SCI, 二区TOP，IF: 9.8)   

[5] Lei Liu (刘磊), Lelin Hu, Zhongwei Guo, Bin Li, Hongwei Zhao Adaptive Multi-scale Perception-based Decoupled Networks for Efficient and Accurate Photovoltaic Forecasting.Solar Energy. (SCI, 二区TOP, IF: 6.6)   

[6] Jian Zhu, Lei Liu (刘磊*), Yu Zhang, Chang Tang,  Li-Rong Dai, Bin Li. Adaptive Confidence Multi-View Learning[J].  IEEE Transactions on Multimedia (TMM). 2025. doi: 10.1109/TMM.2025.3535391.（SCI, 中科院1区TOP，IF：9.7，CCF-A，通讯）

[7] Jian Zhu, Xin Zou, Jun Sun, Bian Wu, Lingfang Zeng, Linqing Feng, Lei Liu(刘磊*), Chang Tang(*). Curriculum Trustworthy Multi-modal Learning[J]. Expert Systems with Applications, 2026: 131541. (SCI, 中科院SCI一区TOP, IF: 7.5，通讯)   

[8] Ruibo Guo, Lei Liu (刘磊*), Rui Yang, Junjie Shen, Guoping Wu, Jie Wang, Bin Li. Tackling Heavy-Tailed Q-Value Bias in Offline-to-Online Reinforcement Learning with Laplace-Robust Modeling. International Conference on Learning Representations（ICLR 2026）. （人工智能顶会，CCF-A，通讯）

[9] Kailin Jiang, Yuntao Du, Yukai Ding, Yuchen Ren, Ning Jiang, Zhi Gao, Zilong Zheng, Lei Liu(刘磊*), Bin Li, Qing Li. When Large Multimodal Models Confront Evolving Knowledge: Challenges and Explorations. International Conference on Learning Representations （ICLR 2026）.（人工智能顶会，CCF-A，通讯）

[10] Yi Wu, Shengju Qian, Lingting Zhu, Lei Liu (刘磊*), Wandi Qiao, Ziqiang Li, Lequan Yu, Bin Li. Proxy-Tuning: Tailoring Multimodal Autoregressive Models for Subject-Driven Image Generation. 2026 IEEE/CVF Conference on Computer Vision and Pattern Recognition  (CVPR 2026). （人工智能顶会，CCF-A，通讯）

[11] Xinyu Wang, Lei Liu (刘磊*), Kang Chen, Tao Han, Bin Li, Lei Bai (*). VQLTI: Long-Term Tropical Cyclone Intensity Forecasting with Physical Constraints. The 39th AAAI Conference on Artificial Intelligence(AAAI 2025).  2025.02.25-2025.03.04,Pennsylvania, USA（AI顶会，CCF-A，通讯）