Xu Wang

Xu Wang

Suzhou Institute for Advanced Research, USTC

I am currently serving as an Associate Researcher at the Suzhou Institute for Advanced Research, University of Science and Technology of China. I was awarded my Ph.D. from University of Science and Technology of China in 2024, and I obtained my Bachelor of Science degree from Northeastern University in 2017. My research interests encompass Spatiotemporal Data Mining, Time Series Analysis, and the application of Artificial Intelligence in scientific research.

I am actively seeking students who are passionate about the following areas: diffusion models, molecular generation/design, and specular analysis. If you are interested in collaborating on these exciting topics, please do not hesitate to contact me at wx309@ustc.edu.cn.

🔥 News

  • 2024.10:  🎉🎉 One Paper accepted by AAAI’25.

📝 Publications

  1. Zhang, Yudong; Wang, Xu*; Sun, Zhaoyang; Wang, Pengkun; Wang, Binwu; Li, Limin; Wang, Yang; , Meta Koopman decomposition for time series forecasting under temporal distribution shifts, Advanced Engineering Informatics, 62, , 102840
  2. Zhang, Yudong; Wang, Xu*; Wang, Pengkun; Wang, Binwu; Zhou, Zhengyang; Wang, Yang; , Modeling Spatio-Temporal Mobility across Data Silos via Personalized Federated Learning, IEEE Transactions on Mobile Computing,
  3. Wang, Xu; Chen, Lianliang; Zhang, Hongbo; Wang, Pengkun; Zhou, Zhengyang; Wang, Yang; , A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework, Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 294-302
  4. Wang, Xu; Gu, Pengfei; Wang, Pengkun; Wang, Binwu; Zhou, Zhengyang; Bai, Lei; Wang, Yang; , Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective, arXiv preprint arXiv:2301.11742,
  5. Wang, Xu; Zhang, Hongbo; Wang, Pengkun; Zhang, Yudong; Wang, Binwu; Zhou, Zhengyang; Wang, Yang; , An observed value consistent diffusion model for imputing missing values in multivariate time series, Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2409-2418
  6. Wang, Xu; Wang, Pengkun; Wang, Binwu; Zhang, Yudong; Zhou, Zhengyang; Bai, Lei; Wang, Yang; , Latent Gaussian Processes based Graph Learning for Urban Traffic Prediction, IEEE Transactions on Vehicular Technology,
  7. Zhou, Zhengyang; Shi, Jiahao; Zhang, Hongbo; Chen, Qiongyu; Wang, Xu*; Chen, Hongyang; Wang, Yang; , CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting, Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 985-993
  8. Zhang, Yudong; Wang, Pengkun; Wang, Binwu; Wang, Xu; Zhao, Zhe; Zhou, Zhengyang; Bai, Lei; Wang, Yang; , Adaptive and Interactive Multi-Level Spatio-Temporal Network for Traffic Forecasting, IEEE Transactions on Intelligent Transportation Systems,
  9. Zhou, Zhengyang; Huang, Qihe; Yang, Kuo; Wang, Kun; Wang, Xu; Zhang, Yudong; Liang, Yuxuan; Wang, Yang; , Maintaining the status quo: Capturing invariant relations for ood spatiotemporal learning, Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 3603-3614
  10. 周正阳; 刘浩; 王琨; 王鹏焜; 王旭; 汪炀; , 基于教师-学生时空半监督网络的城市事件预测方法, 电子学报, 51, 12, 3557-3571
  11. Wang, Binwu; Zhang, Yudong; Wang, Xu; Wang, Pengkun; Zhou, Zhengyang; Bai, Lei; Wang, Yang; , Pattern expansion and consolidation on evolving graphs for continual traffic prediction, Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2223-2232
  12. Zhang, Yudong; Lu, Wei; Wang, Xu; Wang, Pengkun; Wang, Yang; , Pondering About Task Spatial Misalignment: Classification-Localization Equilibrated Object Detection, ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1月5日
  13. Wang, Pengkun; Wang, Xu; Wang, Binwu; Zhang, Yudong; Bai, Lei; Wang, Yang; , Long-tailed time series classification via feature space rebalancing, International Conference on Database Systems for Advanced Applications, 151-166
  14. Wang, Binwu; Wang, Pengkun; Zhang, Yudong; Wang, Xu; Zhou, Zhengyang; Wang, Yang; , Condition-Guided Urban Traffic Co-Prediction With Multiple Sparse Surveillance Data, IEEE Transactions on Vehicular Technology,
  15. Wang, Binwu; Ma, Jiaming; Wang, Pengkun; Wang, Xu; Zhang, Yudong; Zhou, Zhengyang; Wang, Yang; , Stone: A spatio-temporal ood learning framework kills both spatial and temporal shifts, Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2948-2959
  16. Xu, Wei; Wang, Pengkun; Zhao, Zhe; Wang, Binwu; Wang, Xu; Wang, Yang; , When Imbalance Meets Imbalance: Structure-driven Learning for Imbalanced Graph Classification, Proceedings of the ACM on Web Conference 2024, 905-913
  17. Wang, Binwu; Zhang, Yudong; Wang, Pengkun; Wang, Xu; Bai, Lei; Wang, Yang; , A knowledge-driven memory system for traffic flow prediction, International Conference on Database Systems for Advanced Applications, 192-207
  18. Yang, Kuo; Zhou, Zhengyang; Sun, Wei; Wang, Pengkun; Wang, Xu; Wang, Yang; , Extract and refine: Finding a support subgraph set for graph representation, Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2953-2964
  19. Zhao, Zhe; Wang, Pengkun; Wang, Xu; Wen, Haibin; Xie, Xiaolong; Zhou, Zhengyang; Zhang, Qingfu; Wang, Yang; , Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks, arXiv preprint arXiv:2404.14941,
  20. Wang, Binwu; Zhang, Yudong; Shi, Jiahao; Wang, Pengkun; Wang, Xu; Bai, Lei; Wang, Yang; , Knowledge expansion and consolidation for continual traffic prediction with expanding graphs, IEEE Transactions on Intelligent Transportation Systems, 24, 7, 7190-7201
  21. Wang, Pengkun; Zhu, Chaochao; Wang, Xu; Zhou, Zhengyang; Wang, Guang; Wang, Yang; , Inferring intersection traffic patterns with sparse video surveillance information: An st-gan method, IEEE Transactions on Vehicular Technology, 71, 9, 9840-9852
  22. Wang, Pengkun; Wang, Xu; Wang, Binwu; Zhang, Yudong; Bai, Lei; Wang, Yang; , Countering modal redundancy and heterogeneity: a self-correcting multimodal fusion, 2022 IEEE International Conference on Data Mining (ICDM), 518-527
  23. Wang, Kun; Zhou, Zhengyang; Wang, Xu; Wang, Pengkun; Fang, Qi; Wang, Yang; , A2DJP: A two graph-based component fused learning framework for urban anomaly distribution and duration joint-prediction, IEEE Transactions on Knowledge and Data Engineering, 35, 12, 11984-11998
  24. Wang, Kun; Liang, Yuxuan; Wang, Pengkun; Wang, Xu; Gu, Pengfei; Fang, Junfeng; Wang, Yang; , Searching lottery tickets in graph neural networks: A dual perspective, The Eleventh International Conference on Learning Representations,
  25. Wang, Pengkun; Ge, Chuancai; Zhou, Zhengyang; Wang, Xu; Li, Yuantao; Wang, Yang; , Joint gated co-attention based multi-modal networks for subregion house price prediction, IEEE Transactions on Knowledge and Data Engineering, 35, 2, 1667-1680
  26. Mei, Guohui; Zhang, Jiu; Wang, Xu; Zhao, Shumao; Xie, Zhi; , Spectral and total effective emissivity of a nonisothermal blackbody cavity formed by two coaxial tubes, Applied Optics, 54, 13, 3948-3955