Xunlian Luo, Master of Electronic Information School of Computer Science and Technology Soochow University (Su Zhou, China) Email: xlluo@alu.suda.edu.cn [GitHub] [Blog]

📖About Me

A deep learning research enthusiast. Now I join a bank to engage in system software development. Prior to this, I have recieved my Master’s Degree in School of Computer Science and Technology, Soochow University, supervised by Assoc Prof. Detian Zhang and Chunjiang Zhu. Details of Educational Background are as follows:

• 2021.09 - 2024.06, M.E. in Institute of Artificial Intelligence, School of Computer Science and Technology, Soochow University (Electronic Information - Computer Technology), Suzhou.

• 2017.09 - 2021.06, B.E. in School of Computer and Information Engineering, Hubei University (Software Engineering), Wuhan.

My research interests include Spatial-Temporal Data Mining and Graph Representation Learning. Additionally, I also have a passion for exploring new AI technologies and practicing open-source projects. Recently, I am interested in Recommender System and Knowledge Graph.

😄Recent Activities

• [Sep. 2025] One paper I supervised was accepted by Information Sciences. (JCR-Q1, IF=6.8)
• [Aug. 2025] Congratulations! Awarded the Soochow University Outstanding Master's Thesis in 2025.
• [Jun. 2025] Successfully passed the 2025 software designer examination (Intermediate Qualification).
• [Jan. 2025] One paper accepted in the World Wide Web Journal. (WWWJ 2025) [pdf]
• [Oct. 2024] One paper I supervised was accepted by Sensors. (JCR-Q2, IF=3.4)
• [Feb. 2024] Served as a reviewer for the Journal of Expert Systems With Applications. [pdf]
• [Jul. 2023] One paper accepted in the 26th European Conference on Artificial Intelligence. (ECAI 2023) [pdf]

💻Work Experiences

• 2024.07 - Present, Bank of Communications Hubei Provincial Branch, Software Development Team.
• 2023.07 - 2023.08, Agricultural Bank of China Suzhou Branch, Information Technology Department (two months).

📝Publications

(* denotes equal contributions)

• STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction.
  Xunlian Luo, Chunjiang Zhu, Detian Zhang, Qing Li.
  Open-Source Research. [Paper] [Code]

• DSTAN: Attention-Enhanced Dynamic Spatial-Temporal Network for Traffic Forecasting.
  Xunlian Luo, Chunjiang Zhu, Detian Zhang, Qing Li.
  WWWJ 2025 (CCF-B). [Paper]

• Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction.
  Xunlian Luo, Chunjiang Zhu, Detian Zhang, Qing Li.
  ECAI 2023 (CCF-B). [Paper] [Code]

🎖Honors and Awards

• Outstanding Master's Thesis, Soochow University, 2025.
• First-Class Scholarship for Master's Students, Soochow University, 2023.
• Second-Class Scholarship for Master's Students, Soochow University, 2021 & 2022 (Two times).
• Third Prize of the 18th Huawei Cup Mathematical Modeling Competition, Soochow University, 2021.
• Second-Class Scholarship for Outstanding Students, Hubei University, 2021.
• First-Class Scholarship for Outstanding Students, Hubei University, 2020.
• Research Innovation Scholarship, Hubei University, 2020.
• Second Prize in the Hubei Division of Contemporary Undergraduate Mathematical Contest in Modeling (CUMCM), Hubei University, 2019.
• Three-Merits Student, Hubei University, 2018 & 2019 & 2020 (Three times).