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Big Data Intelligence Group on SmartCity (BIGSCity)
The Big Data Intelligence Group on SmartCity research group (BIGSCity) aims to study data-driven science and technologies of making cities smarter and more intelligence. The research interests of BIGSCity include urban computing, spatio-temporal data mining, interpretable machine learning, and data visualization. BIGSCity has published more than 70 paper in CCF-A class conferences and journals in data mining, artificial intelligence. The technologies developed by BIGSCity have been applied in many real-world applications such as urban planning, intelligent transportation and health services. Tens of millions of population living in Beijing, Tianjin, Shenzhen, Wuxi, and Chengdu are benefited from these technologies.
Talent Recruitment
Our lab is recruiting highly self-motivated undergraduate interns, master’s students, and Ph.D. students in the areas of AI for Science, Agentic AI, and Embodied Intelligence Models. Interested candidates are welcome to send their CVs to: jywang [at] buaa [dot] edu [dot] cn.
LibCity (阡陌) is a unified, comprehensive and extensible library for traffic prediction, which provides researchers with a credible experimental tool and a convenient development framework. It collected 29 spatial-temporal datasets and reproduced 42 traffic prediction models, covering 4 mainstream tasks of traffic prediction. LibCity provides an important tool for researchers to use, explore and develop traffic prediction models, which will continuously contribute to the standardization and reproducibility in the field of traffic prediction. read more
Welcome to visit our GitHub repository and website for more details.
If you find LibCity useful for your research or development, please cite the following paper.
@inproceedings{10.1145/3474717.3483923,
author = {Wang, Jingyuan and Jiang, Jiawei and Jiang, Wenjun and Li, Chao and Zhao, Wayne Xin},
title = {LibCity: An Open Library for Traffic Prediction},
year = {2021},
isbn = {9781450386647},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3474717.3483923},
doi = {10.1145/3474717.3483923},
booktitle = {Proceedings of the 29th International Conference on Advances in Geographic Information Systems},
pages = {145–148},
numpages = {4},
keywords = {Spatial-temporal System, Reproducibility, Traffic Prediction},
location = {Beijing, China},
series = {SIGSPATIAL '21}
}
Jingyuan Wang, Jiawei Jiang, Wenjun Jiang, Chao Li, and Wayne Xin Zhao. 2021. LibCity: An Open Library for Traffic Prediction. In Proceedings of the 29th International Conference on Advances in Geographic Information Systems (SIGSPATIAL '21). Association for Computing Machinery, New York, NY, USA, 145–148. DOI:https://doi.org/10.1145/3474717.3483923