Xu Wang

2025

doi dblp
Do We Really Need GCNs in Traffic Forecasting? A Graph-Less Pure-MLP Architecture.
Yudong Zhang|Xu Wang|Xuan Yu|Kuo Yang|Zhengyang Zhou|Yang Wang
Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025
doi dblp
FedSTG: Breaking through Spatio-Temporal Data Silos with Federated Graph Learning.
Yudong Zhang|Xu Wang|Xuan Yu|Kuo Yang|Zhengyang Zhou|Yang Wang
Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025

2024

doi dblp
CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting.
Zhengyang Zhou|Jiahao Shi|Hongbo Zhang|Qiongyu Chen|Xu Wang|Hongyang Chen|Yang Wang
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024
doi dblp
When Imbalance Meets Imbalance: Structure-driven Learning for Imbalanced Graph Classification.
Wei Xu|Pengkun Wang|Zhe Zhao|Binwu Wang|Xu Wang|Yang Wang
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024

2023

doi dblp
A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework.
Xu Wang|Lianliang Chen|Hongbo Zhang|Pengkun Wang|Zhengyang Zhou|Yang Wang
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.