- 🔭 I am Chengkai Han, a graduate student of School of Computer Science and Engineering, Beihang University. Google Scholar
- 🌱 My research interests include deep learning, spatio-temporal data mining, traffic prediction and spatio-temporal representation learning.
- 👯 I am also a core developer of LibCity, which is a unified, flexible and comprehensive traffic prediction library. It provides researchers with a credibly experimental tool and a convenient development framework. Welcome to visit our GitHub repository and website for more details. We also publish a full paper titled LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction. 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 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
- 😄 We publish a paper titled Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark], including (1) a Unified Storage Format for urban spatial-temporal data, (2) a Technical Development Roadmap for urban spatial-temporal prediction models, (3) Extensive Experiments and Performance Evaluation using 18 models and 20 datasets. [Paper].
