Hi, welcome to my profile 👋
🤔 I am Jiawei Jiang, a graduate student at the School of Computer Science and Engineering, Beihang University, China (UTC+8).🌱 My research interests include Spatio-Temporal Data Mining, Graph Neural Networks, and Representation Learning.💪 I am the core developer of LibCity, an open-source library for Urban Spatio-temporal Data Mining. The paper has been accepted for the 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems [ACM SIGSPATIAL 2021] conference. Welcome to our [Code], [Paper], and [Website] for more details. Statistics:😄 We rank 11th in the Regular track of the Baidu KDD Cup 2022 for Spatial Dynamic Wind Power Forecasting Challenge. The paper has been accepted for [ACM SIGKDD Workshop 2022] conference. [Paper] [Code].😄 Our paper titled Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics has been accepted for the 39th IEEE International Conference on Data Engineering [ICDE 2023] conference (CCF A). [Paper], [Code].😄 Our paper titled PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction has been accepted for the 37th AAAI Conference on Artificial Intelligence [AAAI 2023] conference (CCF A), (Acceptance rate is 19.6%). [Paper], [Code].⚡ Languages and environments: Python, Pytorch.😇 Pronouns: He/Him/His.🎓 Link to my Google Scholar and Blog.📫 Reach me by email: jwjiang@buaa.edu.cn.
