我主要研究时空大数据与空间智能，平时关注轨迹数据分析、空间数据挖掘，以及机器学习、深度学习在地理问题中的应用。通俗一点说，就是想办法让人、车、路、城这些空间对象“不只是出现在地图上”，还能通过数据和模型把背后的规律讲清楚。我的研究兴趣主要包括轨迹语义理解、交通出行分析和空间智能解译，也一直希望把算法从论文里“请出来”，真正放到现实空间问题中去发挥作用。

My research interests lie in spatiotemporal big data and spatial intelligence, especially trajectory data analysis, spatial data mining, and the use of machine learning and deep learning for geographic problems. Put simply, I try to make people, vehicles, roads, and cities appear not only on maps, but also in models that explain the patterns behind them. My recent work focuses on trajectory semantic understanding, transportation behavior analysis, and intelligent space interpretation, with the hope of bringing algorithms out of papers and into real-world spatial applications.

在这里，你可以浏览我发表的学术论文和专利、查看我的科研项目以及我在课程中完成的代码实践。如果你对我的研究方向感兴趣，或者有合作意向，随时可以通过左侧的邮箱与我取得联系。

Here, you can browse my published academic papers and patents, explore my research projects, and review the coding exercises I completed for my courses. If you are interested in my research directions or have collaboration inquiries, please feel free to reach out to me via the email address on the left at any time.