😊 About me

Hi! I’m Jiaming Ma, a second-year Master’s student in the School of AI+DS at USTC, as a member in Data Intelligence Lab advised by Prof. Yang Wang and Dr. Binwu Wang.

I am dedicated to making a contribution to the advancement of AI🧠 and DS📊. My research interests lie in a wide range of intersection of Graph Neraul Networks and Algebraic, Optimization and Partial Differential Equations, especially in terms of the theory of Graph Representation Learning, and the application of Metric Embeddings and Robust Optimization. My current research focuses on the application of out-of-distribution learning and zero-shot learning on spatio-temporal prediction in graph-based scenarios.

I look forward to working with collaborators from different scientific backgrounds on a wide range of topics in Deep Learning that are strongly related to Mathematics. Fell free to email me :)

🔥 News

• 2024.05:  🎉🎉 One paper on spatio-temporal OOD learning has been accepted by KDD 2024! My first paper thanks to Bin!
• 2023.04:  🎉🎉 A National-level Innovation Training Program, “Degree Theory Reasearch and its Applications in Equations”, has completed!

📖 Educations

• 2023.09 - present, M.Sc. in progress, Data Science (Mathematics), School of Artificial Intellifgence and Data Science, University of Science and Technology of China (USTC).
• 2019.09 - 2023.06, B.Sc., Mathematics and Applied Mathematics, School of Mathematics, Hunan University (HNU).

📝 Publications

• STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts,
  Binwu Wang, Jiaming Ma*, Pengkun Wang, Xu Wang, Yudong Zhang, Zhengyang Zhou, Yang Wang*,
  The 30th SIGKDD Conference on Knowledge Discovery and Data Mining, (SIGKDD), 2024, Barcelona, Spain. (CCF Rank A)

💬 Invited Talks

• 2024.07.03, Online Presentation on KDD 2024, Barcelona, Spain, “Kill Spatial and Temporal Shifts with one STONE🪨”. [PPT] [Vedio]
• 2024.06.13, Presentation on Optimization Theory course, Hefei, China, “Variance-based Regularization with Convex Objectives”. [PPT]
• 2023.09.20, Presentation on group meeting in Data Intelligence Lab, Suzhou, China, “Residuals Propagation and Rethinking”. [PPT]

🥇 Honors and Awards

• 2023.10 First-class Scholarship for Outstanding Students, USTC.
• 2023.6 Outstanding Bachelor’s Thesis Award: “A Research on Topological Degree Theory and Its Application to Nonlinear Elliptic Equation Problems at Resonance”, HNU.
• 2023.5 Outstanding Graduate, HNU.

💻 Research Internships

• 2022.08 - present, Data Intelligence Lab, Suzhou Institute of Advanced Research, China.

🔧 Projects

• 2022.05 - 2023.04, National-level Innovation Training Program, “Degree Theory Reasearch and its Applications in Equations”, Project leader. (Completed)

🎓️ Collaborators

• Prof. Yang Wang, Vice Dean of the School of Software Engineering, USTC.
• Dr. Binwu Wang, Associate Researcher, USTC.