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.

πŸ“ Publications

  • Yudong Zhang, Xu Wang*, Xuan Yu, Zhengyang Zhou, Xing Xu, Lei Bai, Yang Wang*, DiffODE: Neural ODE with Differentiable Hidden State for Irregular Time Series Analysis, The 41st IEEE International Conference on Data Engineering, (ICDE), 2025. (CCF-A)
  • Yudong Zhang, Xuan Yu, Xu Wang*, Zhaoyang Sun, Chen Zhang, Pengkun Wang, Yang Wang, COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation, The Thirteenth International Conference on Learning Representations, (ICLR), 2025. (CORE-A, THU-A)
  • Yudong Zhang, Xu Wang*, Xuan Yu, Zhaoyang Sun, Kai Wang, Yang Wang*, Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting, The 39th Annual AAAI Conference on Artificial Intelligence, (AAAI), 2025. (CCF-A, Oral Presentation)
  • Yudong Zhang, Xu Wang*, Xuan Yu, Kuo Yang, Zhengyang Zhou, Yang Wang*, FedSTG: Breaking through Spatio-Temporal Data Silos with Federated Graph Learning, The ACM Web Conference 2025 (short paper, formerly known as the International World Wide Web Conference), (WWW-Short), 2025.
  • Yudong Zhang, Xu Wang*, Xuan Yu, Kuo Yang, Zhengyang Zhou, Yang Wang*, Do We Really Need GCNs in Traffic Forecasting? A Graph-Less Pure-MLP Architecture, The ACM Web Conference 2025 (short paper, formerly known as the International World Wide Web Conference), (WWW-Short), 2025.
  • Ziyan Wang, Yudong Zhang, Pengkun Wang, Xu Wang*, Yang Wang*, Embedding Enhanced MLP Enables Simple and Extensible Spatiotemporal Forecasting, The 50th IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP), 2025. (CCF-B)
  • 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
  • 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,
  • 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
  • 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
  • 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,
  • 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
  • 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,
  • Zhaoyang Sun, Yudong Zhang, Xuan Yu, Kai Wang, Binwu Wang, Yang Wang, Xu Wang, Time-Space-Interlaced Spatiotemporal Graph Forecasting via Two-Stage Summarized Attention, The 50th IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP), 2025. (CCF-B)
  • 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,
  • 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
  • ε‘¨ζ­£ι˜³; 刘桩; ηŽ‹η¨; ηŽ‹ιΉη„œ; ηŽ‹ζ—­; ζ±ͺη‚€; , εŸΊδΊŽζ•™εΈˆ-ε­¦η”Ÿζ—Άη©ΊεŠη›‘η£η½‘η»œηš„εŸŽεΈ‚δΊ‹δ»Άι’„ζ΅‹ζ–Ήζ³•, 甡子学ζŠ₯, 51, 12, 3557-3571
  • 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
  • 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5ζ—₯
  • 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
  • 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,
  • 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
  • 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
  • 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
  • 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
  • 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,
  • 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
  • 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
  • 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
  • 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
  • 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,
  • 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
  • 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