Bin Yang

Hu, J., Guo, C., Yang, B. & Jensen, C. S., 2019, (Unpublished) Proceedings of 34th IEEE International Conference on Data Engineering, ICDE 2019. IEEE

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

ASTEP: Aau's spatio-temporal data analytics platform

Beuchert, M., Jensen, S. H., Sheikh-Omar, O. A., Svendsen, M. B. & Yang, B., 13 Jul 2018, Proceedings - 2018 IEEE 19th International Conference on Mobile Data Management, MDM 2018. IEEE, Vol. 2018-June. p. 278-279 2 p.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

Information management

Location based services

Testbeds

Computer science

Software engineering

1 Citation (Scopus)

Correlated Time Series Forecasting using Multi-Task Deep Neural Networks

Cirstea, R-G., Micu, D-V., Muresan, G-M., Guo, C. & Yang, B., 17 Oct 2018, CIKM '18 Proceedings of the 27th ACM International Conference on Information and Knowledge Management. Paton, N., Candan, S., Wang, H., Allan, J., Agrawal, R., Labrinidis, A., Cuzzocrea, A., Zaki, M., Srivastava, D., Broder, A. & Schuster, A. (eds.). Association for Computing Machinery, p. 1527-1530 4 p.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

Time series

Recurrent neural networks

Neural networks

Analog to digital conversion

Deep neural networks

1 Citation (Scopus)

Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories

Kieu, T., Yang, B., Guo, C. & Jensen, C. S., 17 Oct 2018, CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management. Paton, N., Candan, S., Wang, H., Allan, J., Agrawal, R., Labrinidis, A., Cuzzocrea, A., Zaki, M., Srivastava, D., Broder, A. & Schuster, A. (eds.). Association for Computing Machinery, p. 863-872 10 p.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

6 Citations (Scopus)

Finding top-k optimal sequenced routes

Liu, H., Jin, C., Yang, B. & Zhou, A., 24 Oct 2018, Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018. IEEE, p. 569-580 12 p. 8509279. (Proceedings of the International Conference on Data Engineering).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

Shopping centers

Travel time

Personal profile

Keywords

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Projects 2016 2023

Algorithmic Foundations for Data-Intensive Routing

Astra: Analytics of Time series in spatial networks

aSTEP: aau's Spatio-TEmporal data analytics Platform

A Data-Intensive Paradigm for Dynamic, Uncertain Networks

Research Collaborations with Industries in North Jutland

Research Output 2009 2019

Stochastic Weight Completion for Road Networks using Graph Convolutional Networks

ASTEP: Aau's spatio-temporal data analytics platform

Correlated Time Series Forecasting using Multi-Task Deep Neural Networks

Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories

Finding top-k optimal sequenced routes

Prizes

Best demo at MDM 2013

Best paper at MDM 2013

Best Paper in Pervasive and Embedded Computing, Shanghai Computer Academy

Distinguished Scholar

Sapere Aude Research Leader

Press / Media

Kunstig intelligens skal hjælpe Bring med at ruteoptimere

Kunstig intelligens gør trafikken smartere

Millionbevilling til AAU-forskere

34 fremragende Sapere Aude forskningsledere skal sætte retning for fremtidens forskning

Ny generation af Sapere Aude-forskningsledere er fundet