Transportation recognition with the Sussex-Huawei Locomotion challenge. - Yanjun Qin; Chenxing Wang 001; Haiyong Luo (UbiComp/ISWC Adjunct, 2019)

Toward Transportation Mode Recognition Using Deep Convolutional and Long Short-Term Memory Recurrent Neural Networks. - Yanjun Qin; Haiyong Luo; Fang Zhao 003; Chenxing Wang 001; Jiaqi Wang; Yuexia Zhang (IEEE Access, 2019)

STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting. - Yuchen Fang 001; Yanjun Qin; Haiyong Luo; Fang Zhao 003; Chenxing Wang 001 (CoRR, 2021)

DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting. - Yanjun Qin; Yuchen Fang 001; Haiyong Luo; Fang Zhao 003; Chenxing Wang 001 (CoRR, 2021)

CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting. - Yuchen Fang 001; Yanjun Qin; Haiyong Luo; Fang Zhao 003; Liang Zeng 002; Bo Hui 001; Chenxing Wang 001 (CoRR, 2021)

STformer: A Noise-Aware Efficient Spatio-Temporal Transformer Architecture for Traffic Forecasting. - Yanjun Qin; Yuchen Fang 001; Haiyong Luo; Liang Zeng 002; Fang Zhao 003; Chenxing Wang 001 (CoRR, 2021)

Combining Residual and LSTM Recurrent Networks for Transportation Mode Detection Using Multimodal Sensors Integrated in Smartphones. - Chenxing Wang 001; Haiyong Luo; Fang Zhao 003; Yanjun Qin (IEEE Trans. Intell. Transp. Syst., 2021)

NDGCN: Network in Network, Dilate Convolution and Graph Convolutional Networks Based Transportation Mode Recognition. - Yanjun Qin; Haiyong Luo; Fang Zhao 003; Chenxing Wang 001; Yuchen Fang 001 (IEEE Trans. Veh. Technol., 2021)

Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network. - Yanjun Qin; Yuchen Fang 001; Haiyong Luo; Fang Zhao 003; Chenxing Wang 001 (SIGIR, 2022)

Memory attention enhanced graph convolution long short-term memory network for traffic forecasting. - Yanjun Qin; Fang Zhao 003; Yuchen Fang 001; Haiyong Luo; Chenxing Wang 001 (Int. J. Intell. Syst., 2022)

Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer. - Yuchen Fang 001; Fang Zhao 003; Yanjun Qin; Haiyong Luo; Chenxing Wang 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning. - Chenxing Wang 001; Fang Zhao 003; Haichao Zhang; Haiyong Luo; Yanjun Qin; Yuchen Fang 001 (IEEE Trans. Intell. Transp. Syst., 2022)

DrivCapsNet: A Driving Style Detection Algorithm Based on Capsule Network. - Yueyue Wang; Chenxing Wang 001; Haiyong Luo; Fang Zhao 003 (CNIOT, 2023)

When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks. - Yuchen Fang 001; Yanjun Qin; Haiyong Luo; Fang Zhao 003; Bingbing Xu 001; Liang Zeng 002; Chenxing Wang 001 (ICDE, 2023)

Spatio-temporal hierarchical MLP network for traffic forecasting. - Yanjun Qin; Haiyong Luo; Fang Zhao 003; Yuchen Fang 001; Xiaoming Tao 001; Chenxing Wang 001 (Inf. Sci., 2023)

Towards Effective Fusion and Forecasting of Multimodal Spatio-temporal Data for Smart Mobility. - Chenxing Wang 001 (CIKM, 2024)

Vehicle-Based Evolutionary Travel Time Estimation with Deep Meta Learning. - Chenxing Wang 001; Fang Zhao 003; Haiyong Luo; Yuchen Fang 001; Haichao Zhang; Haoyu Xiong (ICANN (9), 2024)

DMGSTCN: Dynamic Multigraph Spatio-Temporal Convolution Network for Traffic Forecasting. - Yanjun Qin; Xiaoming Tao 001; Yuchen Fang 001; Haiyong Luo; Fang Zhao 003; Chenxing Wang 001 (IEEE Internet Things J., 2024)

OD-Prophet: Toward Efficiently Predicting Individual Origin-Destination Travel Demand in Location-Based Services. - Dan Luo; Zijian Cao 002; Dong Zhao 001; Zicheng Lin; Chenxing Wang 001; Haitao Yuan 002; Liang Liu 001; Huadong Ma (IEEE Internet Things J., 2024)

Knowledge Distillation for Travel Time Estimation. - Haichao Zhang; Fang Zhao 003; Chenxing Wang 001; Haiyong Luo; Haoyu Xiong; Yuchen Fang 001 (IEEE Trans. Intell. Transp. Syst., 2024)

CDGNet: A Cross-Time Dynamic Graph-Based Deep Learning Model for Vehicle-Based Traffic Speed Forecasting. - Yuchen Fang 001; Haiyong Luo; Fang Zhao 003; Poly Z. H. Sun; Yanjun Qin; Liang Zeng 002; Bo Hui 001; Chenxing Wang 001 (IEEE Trans. Intell. Veh., 2025)

Towards Effective Transportation Mode-Aware Trajectory Recovery: Heterogeneity, Personalization and Efficiency. - Chenxing Wang 001; Fang Zhao 003; Haiyong Luo; Yuchen Fang 001; Haichao Zhang; Haoyu Xiong (IEEE Trans. Mob. Comput., 2025)

Cross-Transportation-Mode Knowledge Transfer for Trajectory Recovery With Meta Learning. - Chenxing Wang 001; Fang Zhao 003; Haiyong Luo; Poly Z. H. Sun; Yuchen Fang 001 (IEEE Trans. Intell. Transp. Syst., 2025)