Chenxing Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Recurrent Networks

Top Venues

IEEE Trans. Intell. Transp. Syst.

IEEE Internet Things J.

UbiComp/ISWC Adjunct

Publications

Dan Luo, Zijian Cao, Dong Zhao, Zicheng Lin, Chenxing Wang, Haitao Yuan, Liang Liu, Huadong Ma
OD-Prophet: Toward Efficiently Predicting Individual Origin-Destination Travel Demand in Location-Based Services. IEEE Internet Things J. 11 (14) (2024)
Haichao Zhang, Fang Zhao, Chenxing Wang, Haiyong Luo, Haoyu Xiong, Yuchen Fang
Knowledge Distillation for Travel Time Estimation. IEEE Trans. Intell. Transp. Syst. 25 (8) (2024)
Yanjun Qin, Xiaoming Tao, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang
DMGSTCN: Dynamic Multigraph Spatio-Temporal Convolution Network for Traffic Forecasting. IEEE Internet Things J. 11 (12) (2024)
Yanjun Qin, Haiyong Luo, Fang Zhao, Yuchen Fang, Xiaoming Tao, Chenxing Wang
Spatio-temporal hierarchical MLP network for traffic forecasting. Inf. Sci. 632 (2023)
Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Bingbing Xu, Liang Zeng, Chenxing Wang
When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks. ICDE (2023)
Yueyue Wang, Chenxing Wang, Haiyong Luo, Fang Zhao
DrivCapsNet: A Driving Style Detection Algorithm Based on Capsule Network. CNIOT (2023)
Yanjun Qin, Fang Zhao, Yuchen Fang, Haiyong Luo, Chenxing Wang
Memory attention enhanced graph convolution long short-term memory network for traffic forecasting. Int. J. Intell. Syst. 37 (9) (2022)
Yuchen Fang, Fang Zhao, Yanjun Qin, Haiyong Luo, Chenxing Wang
Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang
Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network. SIGIR (2022)
Chenxing Wang, Fang Zhao, Haichao Zhang, Haiyong Luo, Yanjun Qin, Yuchen Fang
Fine-Grained Trajectory-based Travel Time Estimation for Multi-city Scenarios Based on Deep Meta-Learning. CoRR (2022)
Chenxing Wang, Fang Zhao, Haichao Zhang, Haiyong Luo, Yanjun Qin, Yuchen Fang
Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning. IEEE Trans. Intell. Transp. Syst. 23 (9) (2022)
Yanjun Qin, Haiyong Luo, Fang Zhao, Chenxing Wang, Yuchen Fang
NDGCN: Network in Network, Dilate Convolution and Graph Convolutional Networks Based Transportation Mode Recognition. IEEE Trans. Veh. Technol. 70 (3) (2021)
Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Chenxing Wang
STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting. CoRR (2021)
Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang
DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting. CoRR (2021)
Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Liang Zeng, Bo Hui, Chenxing Wang
CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting. CoRR (2021)
Chenxing Wang, Haiyong Luo, Fang Zhao, Yanjun Qin
Combining Residual and LSTM Recurrent Networks for Transportation Mode Detection Using Multimodal Sensors Integrated in Smartphones. IEEE Trans. Intell. Transp. Syst. 22 (9) (2021)
Yanjun Qin, Yuchen Fang, Haiyong Luo, Liang Zeng, Fang Zhao, Chenxing Wang
STformer: A Noise-Aware Efficient Spatio-Temporal Transformer Architecture for Traffic Forecasting. CoRR (2021)
Yanjun Qin, Haiyong Luo, Fang Zhao, Chenxing Wang, Jiaqi Wang, Yuexia Zhang
Toward Transportation Mode Recognition Using Deep Convolutional and Long Short-Term Memory Recurrent Neural Networks. IEEE Access 7 (2019)
Yanjun Qin, Chenxing Wang, Haiyong Luo
Transportation recognition with the Sussex-Huawei Locomotion challenge. UbiComp/ISWC Adjunct (2019)