😊 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 Deep Learning Structure and Algebraic, Optimization and Partial Differential Equations, especially in terms of the theory and application 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 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

• 2025.02:  🎉🎉 One paper on large-scaled spatiotemporal learning has been accepted by VLDB 2025! SOTA in any-scaled datasets!
• 2024.12:  🎉🎉 One paper on air quality causal learning has been accepted by ICASSP 2025! Cooperation with Bin and Guanjun!
• 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 Intelligence 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

• BiST: A Lightweight and Efficient Bi-directional Model for Spatiotemporal Prediction,
  Jiaming Ma, Bingwu Wang*, Pengkun Wang, Zhengyang Zhou, Xu Wang, Yang Wang*,
  The 51st International Conference on Very Large Data Bases, (VLDB), 2025, London, United Kingdom. (CCF Rank A)

• Spatiotemporal Causal Decoupling Model for Air Quality Forecasting,
  Jiaming Ma, Guanjun Wang, Sheng Huang, Kuo Yang, Bingwu Wang*, Pengkun Wang, Yang Wang*,
  The 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP), 2025, Hyderabad, India. (CCF Rank B)

• 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 ACM 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

• 2024.10 Huawei Scholarship, USTC.
• 2024.10 First-class Scholarship for Outstanding Students, USTC.
• 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

• 2024.12 - 2025.12, School-level Innovation and Entrepreneurship Training Program, “Knowledge-driven and Efficient RFIC Intelligent Debugging Platform”, Project member.
• 2022.05 - 2023.04, National-level Innovation Training Program, “Degree Theory Reasearch and its Applications in Equations”, Project leader. (Completed)

🤝 Activities

• Program Committee Member for ICLR 2025.
• Program Committee Member for IJCAI 2025.
• Program Committee Member for ICASSP 2025.
• Program Committee Member for IJCNN 2025.
• Program Committee Member for GSP 2025.
• Program Committee Member for MLSP 2025.
• Program Committee Member for InECCE 2025.
• Program Committee Member for ISCI 2025.

📆 Teaching

• 2024.09 - present, Design and Analysis of Algorithm, Teaching Assistant, USTC.

🎓️ Collaborators

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