• 983 Citations
  • 18 h-Index
20082019
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Fingerprint Dive into the research topics where Siyuan Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Trajectories Engineering & Materials Science
Mobile phones Engineering & Materials Science
Reinforcement learning Engineering & Materials Science
Visualization Engineering & Materials Science
Experiments Engineering & Materials Science
Driver Mathematics
Global positioning system Engineering & Materials Science
Marketing Engineering & Materials Science

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Research Output 2008 2019

  • 983 Citations
  • 18 h-Index
  • 40 Conference contribution
  • 18 Article
  • 10 Conference article
  • 2 Paper
2 Citations (Scopus)

BitExTract: Interactive Visualization for Extracting Bitcoin Exchange Intelligence

Yue, X., Shu, X., Zhu, X., Du, X., Yu, Z., Papadopoulos, D. & Liu, S., Jan 1 2019, In : IEEE Transactions on Visualization and Computer Graphics. 25, 1, p. 162-171 10 p., 8440044.

Research output: Contribution to journalArticle

Visualization
Competitive intelligence
Electronic money

Maximizing the utility in location-based mobile advertising

Cheng, P., Lian, X., Chen, L. & Liu, S., Apr 1 2019, Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019. IEEE Computer Society, p. 1626-1629 4 p. 8731347. (Proceedings - International Conference on Data Engineering; vol. 2019-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Marketing
Computational complexity
Experiments

Pbe: driver behavior assessment beyond trajectory profiling

He, B., Chen, X., Zhang, D., Liu, S., Han, D. & Ni, L. M., Jan 1 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings. Brefeld, U., Marascu, A., Pinelli, F., Curry, E., MacNamee, B., Hurley, N., Daly, E. & Berlingerio, M. (eds.). Springer Verlag, p. 507-523 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11053 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Profiling
Driver
Trajectories
Trajectory
Risk Assessment

Profiling Driver Behavior for Personalized Insurance Pricing and Maximal Profit

He, B., Zhang, D., Liu, S., Liu, H., Han, D. & Ni, L. M., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1387-1396 10 p. 8622491. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Insurance
Profitability
Costs
Industry
Electric fuses
1 Citation (Scopus)

A data-driven congestion diffusion model for characterizing traffic in metrocity scales

Zhao, B., Xu, C. & Liu, S., Jan 12 2018, Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017. Obradovic, Z., Baeza-Yates, R., Kepner, J., Nambiar, R., Wang, C., Toyoda, M., Suzumura, T., Hu, X., Cuzzocrea, A., Baeza-Yates, R., Tang, J., Zang, H., Nie, J-Y. & Ghosh, R. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1243-1252 10 p. (Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017; vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Diffusion Model
Traffic Flow
Data-driven
Congestion
Traffic Congestion