Chenxing Wang
Orcid: 0000-0003-4096-7972Affiliations:
- Beijing University of Posts and Telecommunications, Beijing, China
According to our database1,
Chenxing Wang
authored at least 20 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Intell. Transp. Syst., August, 2024
OD-Prophet: Toward Efficiently Predicting Individual Origin-Destination Travel Demand in Location-Based Services.
IEEE Internet Things J., July, 2024
DMGSTCN: Dynamic Multigraph Spatio-Temporal Convolution Network for Traffic Forecasting.
IEEE Internet Things J., June, 2024
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
Towards Effective Fusion and Forecasting of Multimodal Spatio-temporal Data for Smart Mobility.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the 2023 4th International Conference on Computing, 2023
2022
Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning.
IEEE Trans. Intell. Transp. Syst., 2022
Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer.
IEEE Trans. Intell. Transp. Syst., 2022
Memory attention enhanced graph convolution long short-term memory network for traffic forecasting.
Int. J. Intell. Syst., 2022
Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
2021
NDGCN: Network in Network, Dilate Convolution and Graph Convolutional Networks Based Transportation Mode Recognition.
IEEE Trans. Veh. Technol., 2021
Combining Residual and LSTM Recurrent Networks for Transportation Mode Detection Using Multimodal Sensors Integrated in Smartphones.
IEEE Trans. Intell. Transp. Syst., 2021
STformer: A Noise-Aware Efficient Spatio-Temporal Transformer Architecture for Traffic Forecasting.
CoRR, 2021
CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting.
CoRR, 2021
CoRR, 2021
STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting.
CoRR, 2021
2019
Toward Transportation Mode Recognition Using Deep Convolutional and Long Short-Term Memory Recurrent Neural Networks.
IEEE Access, 2019
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019