Chenxing Wang

25 papers A* 3A 1Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
Bridging Explicit and Implicit Intent: Unified Interest Generative Method for Joint Search-Recommendation Modeling.
WWW
Dongliang Liao, Chenxing Wang, Yawen Zeng
2025 J jnl
CDGNet: A Cross-Time Dynamic Graph-Based Deep Learning Model for Vehicle-Based Traffic Speed Forecasting.
IEEE Trans. Intell. Veh.
Yuchen Fang, Haiyong Luo, Fang Zhao, Poly Z. H. Sun, Yanjun Qin, Liang Zeng, Bo Hui, Chenxing Wang
2025 J jnl
Cross-Transportation-Mode Knowledge Transfer for Trajectory Recovery With Meta Learning.
IEEE Trans. Intell. Transp. Syst.
Chenxing Wang, Fang Zhao, Haiyong Luo, Poly Z. H. Sun, Yuchen Fang
2025 J jnl
Towards Effective Transportation Mode-Aware Trajectory Recovery: Heterogeneity, Personalization and Efficiency.
IEEE Trans. Mob. Comput.
Chenxing Wang, Fang Zhao, Haiyong Luo, Yuchen Fang, Haichao Zhang, Haoyu Xiong
2024 J jnl
DMGSTCN: Dynamic Multigraph Spatio-Temporal Convolution Network for Traffic Forecasting.
IEEE Internet Things J.
Yanjun Qin, Xiaoming Tao, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang
2024 J jnl
Knowledge Distillation for Travel Time Estimation.
IEEE Trans. Intell. Transp. Syst.
Haichao Zhang, Fang Zhao, Chenxing Wang, Haiyong Luo, Haoyu Xiong, Yuchen Fang
2024 J jnl
OD-Prophet: Toward Efficiently Predicting Individual Origin-Destination Travel Demand in Location-Based Services.
IEEE Internet Things J.
Dan Luo, Zijian Cao, Dong Zhao, Zicheng Lin, Chenxing Wang, Haitao Yuan, Liang Liu, Huadong Ma
2024 A conf
Towards Effective Fusion and Forecasting of Multimodal Spatio-temporal Data for Smart Mobility.
CIKM
Chenxing Wang
2024 — conf
Vehicle-Based Evolutionary Travel Time Estimation with Deep Meta Learning.
ICANN (9)
Chenxing Wang, Fang Zhao, Haiyong Luo, Yuchen Fang, Haichao Zhang, Haoyu Xiong
2023 — conf
DrivCapsNet: A Driving Style Detection Algorithm Based on Capsule Network.
CNIOT
Yueyue Wang, Chenxing Wang, Haiyong Luo, Fang Zhao
2023 J jnl
Spatio-temporal hierarchical MLP network for traffic forecasting.
Inf. Sci.
Yanjun Qin, Haiyong Luo, Fang Zhao, Yuchen Fang, Xiaoming Tao, Chenxing Wang
2023 A* conf
When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks.
ICDE
Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Bingbing Xu, Liang Zeng, Chenxing Wang
2022 J jnl
Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning.
IEEE Trans. Intell. Transp. Syst.
Chenxing Wang, Fang Zhao, Haichao Zhang, Haiyong Luo, Yanjun Qin, Yuchen Fang
2022 J jnl
Fine-Grained Trajectory-based Travel Time Estimation for Multi-city Scenarios Based on Deep Meta-Learning.
CoRR
Chenxing Wang, Fang Zhao, Haichao Zhang, Haiyong Luo, Yanjun Qin, Yuchen Fang
2022 J jnl
Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer.
IEEE Trans. Intell. Transp. Syst.
Yuchen Fang, Fang Zhao, Yanjun Qin, Haiyong Luo, Chenxing Wang
2022 J jnl
Memory attention enhanced graph convolution long short-term memory network for traffic forecasting.
Int. J. Intell. Syst.
Yanjun Qin, Fang Zhao, Yuchen Fang, Haiyong Luo, Chenxing Wang
2022 A* conf
Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network.
SIGIR
Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang
2021 J jnl
CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting.
CoRR
Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Liang Zeng, Bo Hui, Chenxing Wang
2021 J jnl
Combining Residual and LSTM Recurrent Networks for Transportation Mode Detection Using Multimodal Sensors Integrated in Smartphones.
IEEE Trans. Intell. Transp. Syst.
Chenxing Wang, Haiyong Luo, Fang Zhao, Yanjun Qin
2021 J jnl
DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting.
CoRR
Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang
2021 J jnl
NDGCN: Network in Network, Dilate Convolution and Graph Convolutional Networks Based Transportation Mode Recognition.
IEEE Trans. Veh. Technol.
Yanjun Qin, Haiyong Luo, Fang Zhao, Chenxing Wang, Yuchen Fang
2021 J jnl
STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting.
CoRR
Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Chenxing Wang
2021 J jnl
STformer: A Noise-Aware Efficient Spatio-Temporal Transformer Architecture for Traffic Forecasting.
CoRR
Yanjun Qin, Yuchen Fang, Haiyong Luo, Liang Zeng, Fang Zhao, Chenxing Wang
2019 J jnl
Toward Transportation Mode Recognition Using Deep Convolutional and Long Short-Term Memory Recurrent Neural Networks.
IEEE Access
Yanjun Qin, Haiyong Luo, Fang Zhao, Chenxing Wang, Jiaqi Wang, Yuexia Zhang
2019 — conf
Transportation recognition with the Sussex-Huawei Locomotion challenge.
UbiComp/ISWC Adjunct
Yanjun Qin, Chenxing Wang, Haiyong Luo