CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting - researchr publication authors

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Zhengyang Zhou, Jiahao Shi, Hongbo Zhang, Qiongyu Chen, Xu Wang, Hongyang Chen, Yang Wang. CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting. In Luz Angelica Caudillo-Mata, Silvio Lattanzi, Andrés Muñoz Medina, Leman Akoglu, Aristides Gionis, Sergei Vassilvitskii, editors, Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024. pages 985-993, ACM, 2024. [doi]

This author has not been identified. Look up 'Zhengyang Zhou' in GoogleThis author has not been identified. Look up 'Jiahao Shi' in GoogleThis author has not been identified. Look up 'Hongbo Zhang' in GoogleThis author has not been identified. Look up 'Qiongyu Chen' in GoogleThis author has not been identified. Look up 'Xu Wang' in GoogleThis author has not been identified. Look up 'Hongyang Chen' in GoogleThis author has not been identified. Look up 'Yang Wang' in Google

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