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About Me

👋 Hi, I'm Xunlian Luo. A deep learning research enthusiast.

👀 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.

📫 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

2024-06-19: 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).