Dewei Yi

https://orcid.org/0000-0003-1702-9136

Accepting PhD Students

PhD projects

Applied machine learning, hybrid intelligent systems, intelligent vehicles, and precise agriculture.

Source: Scopus

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Personal profile

Biography

My research interests include personalized systems, autonomous vehicles, vehicular networks, and precise agrculture.

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125 Citations
9 Article
2 Conference contribution
1 Paper

A machine learning based personalized system for driving state recognition
Yi, D., Su, J., Liu, C., Quddus, M. & Chen, W-H., Aug 2019, In: Transportation Research Part C: Emerging Technologies. 105, p. 241-261 21 p.
Research output: Contribution to journal › Article › peer-review
20 Citations (Scopus)
Trajectory Clustering Aided Personalized Driver Intention Prediction for Intelligent Vehicles
Yi, D., Su, J., Liu, C. & Chen, W-H., Jun 2019, In: IEEE Transactions on Industrial Informatics. 15, 6, p. 3693-3702 10 p.
Research output: Contribution to journal › Article › peer-review
12 Citations (Scopus)
New Driver Workload Prediction Using Clustering-Aided Approaches
Yi, D., Su, J., Liu, C. & Chen, W-H., Jan 2019, In: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 49, 1, p. 64-70 7 p.
Research output: Contribution to journal › Article › peer-review
6 Citations (Scopus)
Personalized Driver Workload Inference by Learning From Vehicle Related Measurements
Yi, D., Su, J., Liu, C. & Chen, W-H., Jan 2019, In: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 49, 1, p. 159-168 10 p.
Research output: Contribution to journal › Article › peer-review

Open Access
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13 Citations (Scopus)

2 Downloads (Pure)
Implicit Personalization in Driving Assistance: State-of-the-Art and Open Issues
Yi, D., Su, J., Hu, L., Liu, C., Quddus, M. A., Dianati, M. & Chen, W-H., 30 Sep 2020, In: IEEE Transactions on Intelligent Vehicles. 5, 3, p. 397-413 17 p., 8936867.
Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus)

Biography

A machine learning based personalized system for driving state recognition

Trajectory Clustering Aided Personalized Driver Intention Prediction for Intelligent Vehicles

New Driver Workload Prediction Using Clustering-Aided Approaches

Personalized Driver Workload Inference by Learning From Vehicle Related Measurements

Implicit Personalization in Driving Assistance: State-of-the-Art and Open Issues