Chengwu Liao

According to our database, Chengwu Liao authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Privacy Leakage From Dynamic Prices: Trip Purpose Mining as an Example.

Suiming Guo, Chao Chen, Zhetao Li, Chengwu Liao, Yaxiao Liu, Ke Xu, Daqing Zhang

IEEE Trans. Mob. Comput., December, 2024

AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation.

Chengwu Liao, Chao Chen, Wanyi Zhang, Suiming Guo, Chao Liu

ACM Trans. Knowl. Discov. Data, September, 2024

Enabling Smart Mobility for People and Beyond With Heterogeneous Trajectory Data.

Wanyi Zhang, Fei Meng, Chengwu Liao, Chao Chen

IT Prof., 2024

2023

2F-TP: Learning Flexible Spatiotemporal Dependency for Flexible Traffic Prediction.

Jie Zhao, Chao Chen, Chengwu Liao, Hongyu Huang, Jie Ma, Huayan Pu, Jun Luo, Tao Zhu, Shilong Wang

IEEE Trans. Intell. Transp. Syst., December, 2023

Enriching Large-Scale Trips With Fine-Grained Travel Purposes: A Semi-Supervised Deep Graph Embedding Framework.

Chengwu Liao, Chao Chen, Suiming Guo, Leye Wang, Fuqiang Gu, Jing Luo, Ke Xu

IEEE Trans. Intell. Transp. Syst., November, 2023

MOOP: An Efficient Utility-Rich Route Planning Framework Over Two-Fold Time-Dependent Road Networks.

Liping Gao, Chao Chen, Feng Chu, Chengwu Liao, Hongyu Huang, Yasha Wang

IEEE Trans. Emerg. Top. Comput. Intell., October, 2023

L2RR: Towards a More Diversified Navigation Service with Learning to Rank Routes Framework.

Jie Zhao, Chao Chen, Linli Jiang, Chengwu Liao, Kaiqiang An, Yuanjie Li, Guoping Liu, Xiang Wen, Runbo Hu, Hua Chai

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.

Chengwu Liao, Chao Chen, Chaocan Xiang, Hongyu Huang, Hong Xie, Songtao Guo

IEEE Trans. Intell. Transp. Syst., 2022

semi-Traj2Graph Identifying Fine-Grained Driving Style With GPS Trajectory Data via Multi-Task Learning.

Chao Chen, Qiang Liu, Xingchen Wang, Chengwu Liao, Daqing Zhang

IEEE Trans. Big Data, 2022

Understanding and visualizing passengers' travel behaviours: a device-free sensing way leveraging taxi trajectory data.

Chengwu Liao, Chao Chen, Zhiqing Zhang, Hong Xie

Pers. Ubiquitous Comput., 2022

O2D: An uncooperative taxi-passenger's destination predication system via deep neural networks.

Xingchen Wang, Chengwu Liao, Chao Chen, Jie Ma, Huayan Pu

Peer-to-Peer Netw. Appl., 2022

Wheels Know Why You Travel: Predicting Trip Purpose via a Dual-Attention Graph Embedding Network.

Chengwu Liao, Chao Chen, Suiming Guo, Zhu Wang, Yaxiao Liu, Ke Xu, Daqing Zhang

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

2019

Trip2Vec: a deep embedding approach for clustering and profiling taxi trip purposes.

Chao Chen, Chengwu Liao, Xuefeng Xie, Yasha Wang, Junfeng Zhao

Pers. Ubiquitous Comput., 2019

Where to Build New Public Toilets? Multi-Source Urban Data Tell the Truth.

Chaoxiong Chen, Yuyang Liu, Chengwu Liao, Chao Chen, Liang Feng, Zhu Wang

Proceedings of the 2019 IEEE SmartWorld, 2019