Current Visitors:

Intelligent Transportation

1. Dangerous Goods Transportation

  • Jingyuan Wang, Chao Chen, Junjie Wu, and Zhang Xiong. "No longer sleeping with a bomb: a duet system for protecting urban safety from dangerous goods". In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 1673–1681. ACM, 2017.
No Longer Sleeping with a Bomb: A Duet System for Protecting Urban Safety from Dangerous Goods
Adobe Acrobat Document 6.1 MB

2. Traffic Speed Prediction

  • Jingyuan Wang, Qian Gu, Junjie Wu, Guannan Liu, and Zhang Xiong. "Traffic speed prediction and congestion source exploration: A deep learning method". In Proceedings of the IEEE 16th International Conference on Data Mining (ICDM), pages 499–508. IEEE, 2016.
  • Jingyuan Wang, Yu Mao, Jing Li, Zhang Xiong, and Wen-Xu Wang. "Predictability of road traffic and congestion in urban areas". PloS one, 10(4):e0121825, 2015.


3. Ride-on-demand Transportation Services

  • Suiming Guo, Chao Chen, Jingyuan Wang, Yaxiao Liu, Ke Xu, Daqing Zhang, and Dah Ming Chiu. "A simple but quantifiable approach to dynamic price prediction in ride-on-demand services leveraging multi-source urban data". Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(3):112, 2018


Urban Public Services

1. Epidemic Control and Prevention

  • Jingyuan Wang, Xiaojian Wang, and Junjie Wu. "Inferring metapopulation propagation network for intra-city epidemic control and prevention". In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pages 830–838. ACM, 2018.
Inferring Metapopulation Propagation Network for Intra-city Epidemic Control and Prevention
Adobe Acrobat Document 1.4 MB

2. Urban Population Census

  • Jingyuan Wang, Xu He, Ze Wang, Junjie Wu Wu, Nicholas Jing Yuan, Xing Xie, and Zhang Xiong. "CD-CNN: A partially supervised cross-domain deep learning model for urban resident recognition". In Proceedings of the 32nd AAAI Conference on Artificial Intelligence, 2018.

Urban Planning

1. Site Selection - customer volume prediction

  • Jingyuan Wang, Yating Lin, Junjie Wu, Zhong Wang, and Zhang Xiong. "Coupling implicit and explicit knowledge for customer volume prediction". In Proceedings of the 31st AAAI Conference on Artificial Intelligence, pages 1569–1575, 2017.

2. Human Mobility Pattern Mining 

  • Jingyuan Wang, Fei Gao, Peng Cui, Chao Li, and Zhang Xiong. "Discovering urban spatio-temporal structure from time-evolving traffic networks". In Proceedings of the 2014 Asia-Pacific Web Conference, pages 93–104. Springer, 2014.

3. Urban Function

  • Li Miaoyi, Shen Zhenjiang, Yang Tao, Wang Jingyuan, Kobayashi Fumihiko, and Li Min. "Application of spatial and temporal entropy based on multivariate data for measuring the degree of urban function mix". China City Planning Review, 2015(1):40–48, 2015.


  • ChuanTao Yin, Zhang Xiong, Hui Chen, JingYuan Wang, Daven Cooper, and Bertrand David. "A literature survey on smart cities". Science China Information Sciences, 58(10):1–18, 2015.
  • Jingyuan Wang, Chao Li, Zhang Xiong, and Zhiguang Shan. "Survey of data-centric smart city". Journal of Computer Research and Development, 51(2):239–259, 2014.