Chenxing Wang

Beijing University of Posts and Telecommunications; Weixin Group, Tencent.

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Guangzhou, China

I’m currently pursuing the Ph.D. degree with the School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China. I’m also serving as a research intern at Weixin Group of Tencent, supported by 2024 Tencent Rhino-bird Research Elite Program. My current main interests include personalized search \& recommendation and spatio-temporal data mining. I have published several papers in top journals and conference proceedings, such as ICDE, SIGIR, TMC, T-ITS, IoTJ, IS, IJIS, T-IV and ICANN.

latest posts

May 01, 2024 a post with tabs
Apr 29, 2024 a post with typograms
Apr 28, 2024 a post that can be cited

selected publications

  1. Towards Effective Transportation Mode-Aware Trajectory Recovery: Heterogeneity, Personalization and Efficiency
    Chenxing Wang, Fang Zhao, Haiyong Luo, and 3 more authors
    IEEE Transactions on Mobile Computing, 2024
    DOI
  2. DMGSTCN: Dynamic Multigraph Spatio-Temporal Convolution Network for Traffic Forecasting
    Yanjun Qin, Xiaoming Tao, Yuchen Fang, and 3 more authors
    IEEE Internet Things J., 2024
    DOI
  3. OD-Prophet: Toward Efficiently Predicting Individual Origin-Destination Travel Demand in Location-Based Services
    Dan Luo, Zijian Cao, Dong Zhao, and 5 more authors
    IEEE Internet Things J., 2024
    DOI
  4. Knowledge Distillation for Travel Time Estimation
    Haichao Zhang, Fang Zhao, Chenxing Wang, and 3 more authors
    IEEE Trans. Intell. Transp. Syst., 2024
    DOI
  5. Towards Effective Fusion and Forecasting of Multimodal Spatio-temporal Data for Smart Mobility
    Chenxing Wang
    In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024, 2024
    DOI
  6. Vehicle-Based Evolutionary Travel Time Estimation with Deep Meta Learning
    Chenxing Wang, Fang Zhao, Haiyong Luo, and 3 more authors
    In Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part IX, 2024
    DOI
  7. Spatio-temporal hierarchical MLP network for traffic forecasting
    Yanjun Qin, Haiyong Luo, Fang Zhao, and 3 more authors
    Inf. Sci., 2023
    DOI
  8. DrivCapsNet: A Driving Style Detection Algorithm Based on Capsule Network
    Yueyue Wang, Chenxing Wang, Haiyong Luo, and 1 more author
    In Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things, CNIOT 2023, Xiamen, China, May 26-28, 2023, 2023
    DOI
  9. When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
    Yuchen Fang, Yanjun Qin, Haiyong Luo, and 4 more authors
    In 39th IEEE International Conference on Data Engineering, ICDE 2023, Anaheim, CA, USA, April 3-7, 2023, 2023
    DOI
  10. Memory attention enhanced graph convolution long short-term memory network for traffic forecasting
    Yanjun Qin, Fang Zhao, Yuchen Fang, and 2 more authors
    Int. J. Intell. Syst., 2022
    DOI
  11. Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning
    Chenxing Wang, Fang Zhao, Haichao Zhang, and 3 more authors
    IEEE Trans. Intell. Transp. Syst., 2022
    DOI
  12. Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer
    Yuchen Fang, Fang Zhao, Yanjun Qin, and 2 more authors
    IEEE Trans. Intell. Transp. Syst., 2022
    DOI
  13. Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network
    Yanjun Qin, Yuchen Fang, Haiyong Luo, and 2 more authors
    In SIGIR ’22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022, 2022
    DOI
  14. Combining Residual and LSTM Recurrent Networks for Transportation Mode Detection Using Multimodal Sensors Integrated in Smartphones
    Chenxing Wang, Haiyong Luo, Fang Zhao, and 1 more author
    IEEE Trans. Intell. Transp. Syst., 2021
    DOI
  15. NDGCN: Network in Network, Dilate Convolution and Graph Convolutional Networks Based Transportation Mode Recognition
    Yanjun Qin, Haiyong Luo, Fang Zhao, and 2 more authors
    IEEE Trans. Veh. Technol., 2021
    DOI