Minbo Ma is currently pursuing his Ph.D. degree in the School of Computing and Artificial Intelligence at Southwest Jiaotong University (SWJTU), China, supervised by Prof. Tianrui Li. Meanwhile, he is also pursuing a Ph.D. degree at Fernuniversität in Hagen, Germany, supervised by Prof. Dr.-Ing. habil. Dr. h.c. Herwig Unger and Prof. Dr. Zhong Li. He obtained his M.S. degree in Computer Science from Southwest Jiaotong University in 2020, supervised by Prof. Fei Teng. During the period from Oct. 2022 to Oct. 2023, He visited Aalborg University (AAU), Denmark, supervised by Prof. Christian S. Jensen.
His research interest lies in Spatial-temporal Data Mining, Graph Neural Networks, and Self-supervised Contrastive Learning.
He is currently seeking a postdoctoral position. If you are interested, please do not hesitate to contact him (minbo46.ma@gmail)
News
- (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).
Past news
- (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).