Enhancing data efficiency in reinforcement learning: a novel imagination mechanism based on mesh information propagation. - Zihang Wang; Maowei Jiang (CoRR, 2023)

FECAM: Frequency enhanced channel attention mechanism for time series forecasting. - Maowei Jiang; Pengyu Zeng; Kai Wang; Huan Liu; Wenbo Chen; Haoran Liu (Adv. Eng. Informatics, 2023)

MLGN: multi-scale local-global feature learning network for long-term series forecasting. - Maowei Jiang; Kai Wang; Yue Sun; Wenbo Chen; Bingjie Xia; Ruiqi Li (Mach. Learn. Sci. Technol., 2023)

Audit-FT at the Regulations Challenge Task: An Open-Source Large Language Model for Audit. - Jiajia Huang; Maowei Jiang; Haoran Zhu (COLING Workshops, 2025)

FAITH: Frequency-domain Attention In Two Horizons for time series forecasting. - Ruiqi Li; Maowei Jiang; Quangao Liu; Kai Wang 023; Kaiduo Feng; Yue Sun; Xiufang Zhou (Knowl. Based Syst., 2025)

MSTVI: Multi-Scale Time-Variable Interaction for multivariate time series forecasting. - Quangao Liu; Ruiqi Li; Maowei Jiang; Wei Yang; Chen Liang; Longlong Pang; Zhuozhang Zou (Knowl. Based Syst., 2025)

A Learnable Multi-views Contrastive Framework with Reconstruction Discrepancy for Medical Time-Series. - Yifan Wang; Hongfeng Ai; Ruiqi Li; Maowei Jiang; Cheng Jiang; Chenzhong Li (CoRR, 2025)