Minbo Ma is currently a Postdoctoral Fellow at Tsinghua University. He received dual Ph.D. degrees from Southwest Jiaotong University, China, and Fernuniversität in Hagen, Germany, was co-supervised by Prof. Tianrui Li, Prof. Dr.-Ing. habil. Dr. h.c. Herwig Unger and Prof. Dr. Zhong Li. He also carried out a joint doctoral research program at Aalborg University, Denmark (Oct. 2022 – Oct. 2023), supervised by Prof. Christian S. Jensen. He obtained his M.S. degree in Computer Science from Southwest Jiaotong University in 2020, supervised by Prof. Fei Teng.

His research focuses on interdisciplinary studies of artificial intelligence and spatio-temporal data mining, with applications in green energy, urban computing, and meteorology, as well as generative AI-based time series analysis.

He has published 10 high-quality papers as first author or co-author in prestigious international conferences and journals such as KDD, ICDE, TKDE, IJCAI, Information Fusion, Knowledge-Based Systems, and Information Sciences. His work includes one ESI Highly Cited/Hot Paper. He has won two third prizes in international data competitions. He also serves as a reviewer for leading international conferences and journals, including AAAI, ICDE, TKDE, PVLDB, CIKM, and TGRS.

News

• (2025-05-20) One paper Multi-level transfer learning for irregular clinical time series prediction is accepted by Knowledge-Based Systems. (SCI Q1, IF: 7.2)
• (2025-05-15) One paper Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning is accepted by SIGKDD. (CCF-A)
• (2025-04-29) One paper Non-collective Calibrating Strategy for Time Series Forecasting is accepted by IJCAI. (CCF-A)
• (2024-05-01) One paper DeepWind: A heterogeneous spatio-temporal model for wind forecasting is accepted by Knowledge-Based Systems. (IF: 8.8)
• (2023-12-08) One paper Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting is accepted by ICDE. (CCF-A)
• (2023-06-10) One survey paper Long sequence time-series forecasting with deep learning: A survey is accepted by Information Fusion. (IF: 14.7)
• (2023-06-07) One paper HiSTGNN: Hierarchical spatio-temporal graph neural network for weather forecasting is accepted by Information Sciences. (IF: 8.1)
• (2023-03-01) One paper Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction is accepted by TKDE. (IF: 8.9, CCF-A).