😊 About me

Hi! I’m Jiaming Ma, a Ph.D. 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 (e.g. Transformer and GNN) and Algebraic, Optimization and Partial Differential Equations. My current research applications focus on the following areas: ① Large-scale and Out-of-Distribution Spatiotemporal Learning🚗, ② Time Series Forecasting⏱️, ③ Imbalanced Graph Classification⚖️, ④ LLM-Based Multi-Agent Systems🤖, and ⑤ Any Potential 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

• 2025.05:  🎉🎉 One paper on large-scaled spatiotemporal OOD learning has been accepted by ICML 2025! Thanks to Bin!
• 2025.04:  🎉🎉 One paper on large-scaled air quality forecasting has been accepted by IJCAI 2025! The 1st open-source large-scale air quality dataset (LargeAQ)! Compiled by Cui!
• 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 spatiotemporal 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, Ph.D. in progress, Intelligent Science and Technology, 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

# Some papers have been accepted but not yet able to be retrieved. Please stay tuned : ) Here is a latest and recomended paper👋

ICML 2025 Poster

Robust Spatio-Temporal Centralized Interaction for OOD Learning |
We introduce a spatio-temporal OOD processor [STOP] with Context-Aware Units [ConAUs], Generalized Perturbation Units [GenPUs] and a customized spatiotemporal distributionally robust optimization approach [ST-DRO] to address the spatio-temporal out-of-distribution issue.

First Author:

• Robust Spatio-Temporal Centralized Interaction for OOD Learning |
  Jiaming Ma, Bingwu Wang*, Pengkun Wang, Zhengyang Zhou, Xu Wang, Yang Wang*,
  The 42nd International Conference on Machine Learning, (ICML), 2025, Vancouver, Canada. (CCF Rank A)

• Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting |
  Jiaming Ma, Zhiqing Cui, Bingwu Wang*, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Yang Wang*,
  The 34th International Joint Conference on Artificial Intelligence, (IJCAI), 2025, Montreal, Canada. (CCF Rank A)

• 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)

Co-Author:

• 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 NIPS 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 - 2025.01, 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.
• Dr. Zhengyang Zhou, Associate Researcher, USTC.

👀 Vistors