时间：2026-06-16 13:00
举办地点：信息楼503
内容：
This study presents a novel Wavelet Transformer Forecasting (WTF) framework for predicting hypersonic glide vehicle (HGV) trajectories with lateral maneuvers. Our approach combines wavelet decomposition with transformer-based sequence modeling to capture both temporal and frequency-domain characteristics of complex HGV trajectories. Experimental results demonstrate significant improvements in prediction accuracy compared to traditional methods, particularly for trajectories with complex maneuvering patterns.
主办单位：
人工智能与数据科学学院
主讲人：
Howard Li（李昊）博士，IEEE 高级会员，加拿大新不伦瑞克大学电气与计算机工程系教授。现任 IEEE 软件联盟
（IEEE SA）标准委员会董事会成员，担任 IEEE 自主机器人本体论工作组主席，同时兼任IEEE 6G 机器人技术工作组联席主席。
