About Me
๐ Hi, I'm Xunlian Luo. A deep learning research enthusiast.
๐ My research interests include Spatial-Temporal Data Mining and Graph Representation Learning. I also have a passion for exploring new AI technologies and practicing open-source projects.
๐ซ How to reach me? You can communicate and cooperate with me via email [email protected].
Publications
[1] Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction. (ECAI 2023, Rank CCF-B) Link Code
[2] STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction. Link Code
Recent News
2024-07-08: Joined a bank to engage in system software development.
2024-06-19: Obtained a master's degree from the School of Computer Science and Technology, Soochow University (Su Zhou, China).
2024-05-03: Served as a reviewer for the Journal of Expert Systems With Applications.
2024-03-25: Completed a master's thesis titled Research on Urban Traffic Prediction based on Spatial-Temporal Graph Neural Networks: Method and Benchmark (public half a year later).