Chengwu Liao

Orcid: 0000-0001-5098-4579

According to our database1, Chengwu Liao authored at least 11 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
2F-TP: Learning Flexible Spatiotemporal Dependency for Flexible Traffic Prediction.
IEEE Trans. Intell. Transp. Syst., December, 2023

Enriching Large-Scale Trips With Fine-Grained Travel Purposes: A Semi-Supervised Deep Graph Embedding Framework.
IEEE Trans. Intell. Transp. Syst., November, 2023

MOOP: An Efficient Utility-Rich Route Planning Framework Over Two-Fold Time-Dependent Road Networks.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023

L2RR: Towards a More Diversified Navigation Service with Learning to Rank Routes Framework.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
Taxi-Passenger's Destination Prediction via GPS Embedding and Attention-Based BiLSTM Model.
IEEE Trans. Intell. Transp. Syst., 2022

semi-Traj2Graph Identifying Fine-Grained Driving Style With GPS Trajectory Data via Multi-Task Learning.
IEEE Trans. Big Data, 2022

Understanding and visualizing passengers' travel behaviours: a device-free sensing way leveraging taxi trajectory data.
Pers. Ubiquitous Comput., 2022

O2D: An uncooperative taxi-passenger's destination predication system via deep neural networks.
Peer-to-Peer Netw. Appl., 2022

Wheels Know Why You Travel: Predicting Trip Purpose via a Dual-Attention Graph Embedding Network.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

2019
Trip2Vec: a deep embedding approach for clustering and profiling taxi trip purposes.
Pers. Ubiquitous Comput., 2019

Where to Build New Public Toilets? Multi-Source Urban Data Tell the Truth.
Proceedings of the 2019 IEEE SmartWorld, 2019


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